mirror of
https://github.com/sickn33/antigravity-awesome-skills.git
synced 2026-04-25 17:25:12 +02:00
chore: Sync generated files for 10.3.0
This commit is contained in:
sickn33
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "antigravity-awesome-skills",
|
||||
"version": "10.2.0",
|
||||
"description": "Plugin-safe Claude Code distribution of Antigravity Awesome Skills with 1,405 supported skills.",
|
||||
"description": "Plugin-safe Claude Code distribution of Antigravity Awesome Skills with 1,407 supported skills.",
|
||||
"author": {
|
||||
"name": "sickn33 and contributors",
|
||||
"url": "https://github.com/sickn33/antigravity-awesome-skills"
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
|
||||
Generated at: 2026-02-08T00:00:00.000Z
|
||||
|
||||
Total skills: 1421
|
||||
Total skills: 1423
|
||||
|
||||
## architecture (95)
|
||||
|
||||
@@ -187,7 +187,7 @@ Total skills: 1421
|
||||
| `whatsapp-automation` | Automate WhatsApp Business tasks via Rube MCP (Composio): send messages, manage templates, upload media, and handle contacts. Always search tools first for c... | whatsapp | whatsapp, automation, automate, business, tasks, via, rube, mcp, composio, send, messages, upload |
|
||||
| `wordpress-centric-high-seo-optimized-blogwriting-skill` | Use this skill when the user asks to write a blog post, article, or SEO content. This applies a professional structure, truth boxes, click-bait-free accurate... | writing, blog, seo, content, wordpress | writing, blog, seo, content, wordpress, centric, high, optimized, blogwriting, skill, user, asks |
|
||||
|
||||
## data-ai (269)
|
||||
## data-ai (271)
|
||||
|
||||
| Skill | Description | Tags | Triggers |
|
||||
| --- | --- | --- | --- |
|
||||
@@ -203,6 +203,7 @@ Total skills: 1421
|
||||
| `ai-agent-development` | AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents. | ai, agent | ai, agent, development, building, autonomous, agents, multi, orchestration, crewai, langgraph, custom |
|
||||
| `ai-agents-architect` | Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. | ai, agents | ai, agents, architect, designing, building, autonomous, masters, memory, planning, multi, agent, orchestration |
|
||||
| `ai-analyzer` | AI驱动的综合健康分析系统，整合多维度健康数据、识别异常模式、预测健康风险、提供个性化建议。支持智能问答和AI健康报告生成。 | ai, analyzer | ai, analyzer |
|
||||
| `ai-dev-jobs-mcp` | Search 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP | mcp, jobs, ai-jobs, ml-jobs, recruiting, job-search, career | mcp, jobs, ai-jobs, ml-jobs, recruiting, job-search, career, ai, dev, search, 400, ml |
|
||||
| `ai-engineer` | Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and ente... | ai | ai, engineer, llm, applications, rag, intelligent, agents, implements, vector, search, multimodal, agent |
|
||||
| `ai-ml` | AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features. | ai, ml | ai, ml, machine, learning, covering, llm, application, development, rag, agent, architecture, pipelines |
|
||||
| `ai-native-cli` | Design spec with 98 rules for building CLI tools that AI agents can safely use. Covers structured JSON output, error handling, input contracts, safety guardr... | ai, native, cli | ai, native, cli, spec, 98, rules, building, agents, safely, covers, structured, json |
|
||||
@@ -383,6 +384,7 @@ Total skills: 1421
|
||||
| `neon-postgres` | Expert patterns for Neon serverless Postgres, branching, connection pooling, and Prisma/Drizzle integration | neon, postgres | neon, postgres, serverless, branching, connection, pooling, prisma, drizzle, integration |
|
||||
| `nestjs-expert` | You are an expert in Nest.js with deep knowledge of enterprise-grade Node.js application architecture, dependency injection patterns, decorators, middleware,... | nestjs | nestjs, nest, js, deep, knowledge, enterprise, grade, node, application, architecture, dependency, injection |
|
||||
| `nextjs-best-practices` | Next.js App Router principles. Server Components, data fetching, routing patterns. | nextjs, best, practices | nextjs, best, practices, next, js, app, router, principles, server, components, data, fetching |
|
||||
| `not-human-search-mcp` | Search AI-ready websites, inspect indexed site details, verify MCP endpoints, and discover tools and APIs using the Not Human Search MCP server | mcp, search, ai-discovery, api-discovery, mcp-verification, agent-tools | mcp, search, ai-discovery, api-discovery, mcp-verification, agent-tools, human, ai, websites, inspect, indexed, site |
|
||||
| `obsidian-bases` | Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of... | obsidian, bases | obsidian, bases, edit, base, files, views, filters, formulas, summaries, working, creating, database |
|
||||
| `odoo-edi-connector` | Guide for implementing EDI (Electronic Data Interchange) with Odoo: X12, EDIFACT document mapping, partner onboarding, and automated order processing. | odoo, edi, connector | odoo, edi, connector, implementing, electronic, data, interchange, x12, edifact, document, mapping, partner |
|
||||
| `odoo-inventory-optimizer` | Expert guide for Odoo Inventory: stock valuation (FIFO/AVCO), reordering rules, putaway strategies, routes, and multi-warehouse configuration. | odoo, inventory, optimizer | odoo, inventory, optimizer, stock, valuation, fifo, avco, reordering, rules, putaway, routes, multi |
|
||||
|
||||
35
CHANGELOG.md
35
CHANGELOG.md
@@ -9,6 +9,22 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
|
||||
|
||||
## [Unreleased]
|
||||
|
||||
- _No unreleased changes yet._
|
||||
|
||||
## [10.3.0] - 2026-04-17 - "Taste Design, Mise Toolchains, and MCP Discovery"
|
||||
|
||||
> Installable skill library update for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and related AI coding assistants.
|
||||
|
||||
Start here:
|
||||
|
||||
- Install: `npx antigravity-awesome-skills`
|
||||
- Choose your tool: [README -> Choose Your Tool](https://github.com/sickn33/antigravity-awesome-skills#choose-your-tool)
|
||||
- Best skills by tool: [README -> Best Skills By Tool](https://github.com/sickn33/antigravity-awesome-skills#best-skills-by-tool)
|
||||
- Bundles: [docs/users/bundles.md](https://github.com/sickn33/antigravity-awesome-skills/blob/main/docs/users/bundles.md)
|
||||
- Workflows: [docs/users/workflows.md](https://github.com/sickn33/antigravity-awesome-skills/blob/main/docs/users/workflows.md)
|
||||
|
||||
This release expands the installable library to 1,423+ skills with a new Taste Skill design collection, a mise toolchain configuration skill, and two remote MCP discovery workflows for AI-ready websites and AI/ML job-market data. It also includes maintainer hardening before merge: live MCP tool-name verification, deterministic mise examples, Taste Skill limitations coverage, regenerated catalogs, plugin mirrors, and source-only PR hygiene.
|
||||
|
||||
## New Skills
|
||||
|
||||
- **design-taste-frontend** - imports the main Taste Skill high-agency frontend design protocol for calibrated typography, color, layout, motion, and responsive UI quality.
|
||||
@@ -19,10 +35,29 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
|
||||
- **industrial-brutalist-ui** - adds the raw Swiss industrial and tactical telemetry interface protocol for rigid grids, CRT effects, and high-density data.
|
||||
- **stitch-design-taste** - adds a Google Stitch-compatible semantic design system skill plus its `DESIGN.md` export.
|
||||
- **full-output-enforcement** - adds the output-completeness protocol that bans placeholders, skipped code, and partial deliverables.
|
||||
- **mise-configurator** - generates reproducible `mise.toml` setups for local development and CI/CD toolchain standardization.
|
||||
- **not-human-search-mcp** - configures the Not Human Search remote MCP server for AI-ready site discovery, site-detail inspection, category/top-site lookup, submissions, monitors, and MCP endpoint verification.
|
||||
- **ai-dev-jobs-mcp** - configures the AI Dev Jobs remote MCP server for AI/ML job search, company lookup, candidate matching, salary data, tags, and live market statistics.
|
||||
|
||||
## Improvements
|
||||
|
||||
- **MCP endpoint accuracy** - verifies the Not Human Search and AI Dev Jobs live MCP `tools/list` responses before merge, replacing stale tool names and outdated job-market counts.
|
||||
- **Mise reproducibility** - removes floating `latest` and `lts` defaults from the mise examples and documents explicit version pinning for shared production configs.
|
||||
- **Taste Skill hardening** - adds missing `## Limitations` sections to the imported Taste Skill collection and syncs those constraints into plugin mirrors.
|
||||
- **Canonical registry refresh** - regenerates README counts, catalog data, skill indexes, plugin compatibility metadata, and bundled plugin skill mirrors for 1,423+ installable skills.
|
||||
|
||||
## Who should care
|
||||
|
||||
- **Claude Code users** get stronger frontend taste protocols, complete-output enforcement, and new MCP-powered discovery workflows.
|
||||
- **Cursor and Codex CLI users** get deterministic toolchain setup guidance via `mise-configurator` plus refreshed installable plugin mirrors.
|
||||
- **Gemini CLI and Antigravity users** get expanded design, MCP, and DevOps skill coverage with synchronized registry metadata.
|
||||
- **Maintainers and downstream indexers** get source-only PR merges, current MCP tool schemas, contributor credit syncing, and release-ready generated artifacts.
|
||||
|
||||
## Credits
|
||||
|
||||
- **[Leonxlnx/taste-skill](https://github.com/Leonxlnx/taste-skill)** for the upstream Taste Skill collection.
|
||||
- **[@emanoelCarvalho](https://github.com/emanoelCarvalho)** for the `mise-configurator` contribution merged in PR #523.
|
||||
- **[@unitedideas](https://github.com/unitedideas)** for the `not-human-search-mcp` and `ai-dev-jobs-mcp` contributions merged in PR #524.
|
||||
|
||||
## [10.2.0] - 2026-04-16 - "Daily Gifts and LambdaTest Automation"
|
||||
|
||||
|
||||
16
README.md
16
README.md
@@ -1,13 +1,13 @@
|
||||
<!-- registry-sync: version=10.2.0; skills=1421; stars=33408; updated_at=2026-04-16T14:29:36+00:00 -->
|
||||
# 🌌 Antigravity Awesome Skills: 1,421+ Agentic Skills for Claude Code, Gemini CLI, Cursor, Copilot & More
|
||||
<!-- registry-sync: version=10.2.0; skills=1423; stars=33408; updated_at=2026-04-16T14:29:36+00:00 -->
|
||||
# 🌌 Antigravity Awesome Skills: 1,423+ Agentic Skills for Claude Code, Gemini CLI, Cursor, Copilot & More
|
||||
|
||||
> **Installable GitHub library of 1,421+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and other AI coding assistants.**
|
||||
> **Installable GitHub library of 1,423+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and other AI coding assistants.**
|
||||
|
||||
Antigravity Awesome Skills is an installable GitHub library and npm installer for reusable `SKILL.md` playbooks. It is designed for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, Kiro, OpenCode, GitHub Copilot, and other AI coding assistants that benefit from structured operating instructions. Instead of collecting one-off prompt snippets, this repository gives you a searchable, installable catalog of skills, bundles, workflows, plugin-safe distributions, and practical docs that help agents perform recurring tasks with better context, stronger constraints, and clearer outputs.
|
||||
|
||||
You can use this repo to install a broad multi-tool skill library, start from role-based bundles, or jump into workflow-driven execution for planning, coding, debugging, testing, security review, infrastructure, product work, and growth tasks. The root README is intentionally a high-signal landing page: understand what the project is, install it quickly, choose the right tool path, and then follow deeper docs only when you need them.
|
||||
|
||||
**Start here:** [Star the repo](https://github.com/sickn33/antigravity-awesome-skills/stargazers) · [Install in 1 minute](#installation) · [Choose your tool](#choose-your-tool) · [Best skills by tool](#best-skills-by-tool) · [📚 Browse 1,421+ Skills](#browse-1421-skills) · [Bundles](docs/users/bundles.md) · [Workflows](docs/users/workflows.md) · [Plugins for Claude Code and Codex](docs/users/plugins.md)
|
||||
**Start here:** [Star the repo](https://github.com/sickn33/antigravity-awesome-skills/stargazers) · [Install in 1 minute](#installation) · [Choose your tool](#choose-your-tool) · [Best skills by tool](#best-skills-by-tool) · [📚 Browse 1,423+ Skills](#browse-1423-skills) · [Bundles](docs/users/bundles.md) · [Workflows](docs/users/workflows.md) · [Plugins for Claude Code and Codex](docs/users/plugins.md)
|
||||
|
||||
[](https://github.com/sickn33/antigravity-awesome-skills/stargazers)
|
||||
[](LICENSE)
|
||||
@@ -28,7 +28,7 @@ You can use this repo to install a broad multi-tool skill library, start from ro
|
||||
|
||||
- **Installable, not just inspirational**: use `npx antigravity-awesome-skills` to put skills where your tool expects them.
|
||||
- **Built for major agent workflows**: Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, Kiro, OpenCode, Copilot, and more.
|
||||
- **Broad coverage with real utility**: 1,421+ skills across development, testing, security, infrastructure, product, and marketing.
|
||||
- **Broad coverage with real utility**: 1,423+ skills across development, testing, security, infrastructure, product, and marketing.
|
||||
- **Faster onboarding**: bundles and workflows reduce the time from "I found this repo" to "I used my first skill".
|
||||
- **Useful whether you want breadth or curation**: browse the full catalog, start with top bundles, or compare alternatives before installing.
|
||||
|
||||
@@ -127,7 +127,7 @@ Start with [Bundles](docs/users/bundles.md) for role-based recommendations, [Wor
|
||||
|
||||
## Best Skills By Tool
|
||||
|
||||
If you want a faster answer than "browse all 1,421+ skills", start with a tool-specific guide:
|
||||
If you want a faster answer than "browse all 1,423+ skills", start with a tool-specific guide:
|
||||
|
||||
- **[Claude Code skills](docs/users/claude-code-skills.md)**: install paths, starter skills, prompt examples, and plugin marketplace flow.
|
||||
- **[Cursor skills](docs/users/cursor-skills.md)**: best starter skills for `.cursor/skills/`, UI-heavy work, and pair-programming flows.
|
||||
@@ -183,7 +183,7 @@ If Antigravity starts hitting context limits with too many active skills, the ac
|
||||
|
||||
If you use OpenCode or another `.agents/skills` host, prefer a reduced install up front instead of copying the full library into a context-sensitive runtime. The installer now supports `--risk`, `--category`, and `--tags` so you can keep the installed set narrow.
|
||||
|
||||
## Browse 1,421+ Skills
|
||||
## Browse 1,423+ Skills
|
||||
|
||||
Use the root repo as a landing page, then jump into the deeper surface that matches your intent.
|
||||
|
||||
@@ -562,8 +562,6 @@ We officially thank the following contributors for their help in making this rep
|
||||
- [@fruitwyatt](https://github.com/fruitwyatt)
|
||||
- [@jiawei248](https://github.com/jiawei248)
|
||||
- [@tanveer-farooq](https://github.com/tanveer-farooq)
|
||||
- [@emanoelCarvalho](https://github.com/emanoelCarvalho)
|
||||
- [@unitedideas](https://github.com/unitedideas)
|
||||
|
||||
## Star History
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"generatedAt": "2026-02-08T00:00:00.000Z",
|
||||
"total": 1421,
|
||||
"total": 1423,
|
||||
"skills": [
|
||||
{
|
||||
"id": "00-andruia-consultant",
|
||||
@@ -906,6 +906,36 @@
|
||||
],
|
||||
"path": "skills/ai-analyzer/SKILL.md"
|
||||
},
|
||||
{
|
||||
"id": "ai-dev-jobs-mcp",
|
||||
"name": "ai-dev-jobs-mcp",
|
||||
"description": "Search 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP",
|
||||
"category": "data-ai",
|
||||
"tags": [
|
||||
"mcp",
|
||||
"jobs",
|
||||
"ai-jobs",
|
||||
"ml-jobs",
|
||||
"recruiting",
|
||||
"job-search",
|
||||
"career"
|
||||
],
|
||||
"triggers": [
|
||||
"mcp",
|
||||
"jobs",
|
||||
"ai-jobs",
|
||||
"ml-jobs",
|
||||
"recruiting",
|
||||
"job-search",
|
||||
"career",
|
||||
"ai",
|
||||
"dev",
|
||||
"search",
|
||||
"400",
|
||||
"ml"
|
||||
],
|
||||
"path": "skills/ai-dev-jobs-mcp/SKILL.md"
|
||||
},
|
||||
{
|
||||
"id": "ai-engineer",
|
||||
"name": "ai-engineer",
|
||||
@@ -22174,6 +22204,35 @@
|
||||
],
|
||||
"path": "skills/nosql-expert/SKILL.md"
|
||||
},
|
||||
{
|
||||
"id": "not-human-search-mcp",
|
||||
"name": "not-human-search-mcp",
|
||||
"description": "Search AI-ready websites, inspect indexed site details, verify MCP endpoints, and discover tools and APIs using the Not Human Search MCP server",
|
||||
"category": "data-ai",
|
||||
"tags": [
|
||||
"mcp",
|
||||
"search",
|
||||
"ai-discovery",
|
||||
"api-discovery",
|
||||
"mcp-verification",
|
||||
"agent-tools"
|
||||
],
|
||||
"triggers": [
|
||||
"mcp",
|
||||
"search",
|
||||
"ai-discovery",
|
||||
"api-discovery",
|
||||
"mcp-verification",
|
||||
"agent-tools",
|
||||
"human",
|
||||
"ai",
|
||||
"websites",
|
||||
"inspect",
|
||||
"indexed",
|
||||
"site"
|
||||
],
|
||||
"path": "skills/not-human-search-mcp/SKILL.md"
|
||||
},
|
||||
{
|
||||
"id": "notebooklm",
|
||||
"name": "notebooklm",
|
||||
|
||||
@@ -692,6 +692,25 @@
|
||||
},
|
||||
"runtime_files": []
|
||||
},
|
||||
{
|
||||
"id": "ai-dev-jobs-mcp",
|
||||
"path": "skills/ai-dev-jobs-mcp",
|
||||
"targets": {
|
||||
"codex": "supported",
|
||||
"claude": "supported"
|
||||
},
|
||||
"setup": {
|
||||
"type": "none",
|
||||
"summary": "",
|
||||
"docs": null
|
||||
},
|
||||
"reasons": [],
|
||||
"blocked_reasons": {
|
||||
"codex": [],
|
||||
"claude": []
|
||||
},
|
||||
"runtime_files": []
|
||||
},
|
||||
{
|
||||
"id": "ai-engineer",
|
||||
"path": "skills/ai-engineer",
|
||||
@@ -17191,6 +17210,25 @@
|
||||
},
|
||||
"runtime_files": []
|
||||
},
|
||||
{
|
||||
"id": "not-human-search-mcp",
|
||||
"path": "skills/not-human-search-mcp",
|
||||
"targets": {
|
||||
"codex": "supported",
|
||||
"claude": "supported"
|
||||
},
|
||||
"setup": {
|
||||
"type": "none",
|
||||
"summary": "",
|
||||
"docs": null
|
||||
},
|
||||
"reasons": [],
|
||||
"blocked_reasons": {
|
||||
"codex": [],
|
||||
"claude": []
|
||||
},
|
||||
"runtime_files": []
|
||||
},
|
||||
{
|
||||
"id": "notebooklm",
|
||||
"path": "skills/notebooklm",
|
||||
@@ -27173,10 +27211,10 @@
|
||||
}
|
||||
],
|
||||
"summary": {
|
||||
"total_skills": 1421,
|
||||
"total_skills": 1423,
|
||||
"supported": {
|
||||
"codex": 1390,
|
||||
"claude": 1405
|
||||
"codex": 1392,
|
||||
"claude": 1407
|
||||
},
|
||||
"blocked": {
|
||||
"codex": 31,
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
---
|
||||
title: Jetski/Cortex + Gemini Integration Guide
|
||||
description: "Use antigravity-awesome-skills with Jetski/Cortex without hitting context-window overflow with 1.421+ skills."
|
||||
description: "Use antigravity-awesome-skills with Jetski/Cortex without hitting context-window overflow with 1.423+ skills."
|
||||
---
|
||||
|
||||
# Jetski/Cortex + Gemini: safe integration with 1,1.421+ skills
|
||||
# Jetski/Cortex + Gemini: safe integration with 1,1.423+ skills
|
||||
|
||||
This guide shows how to integrate the `antigravity-awesome-skills` repository with an agent based on **Jetski/Cortex + Gemini** (or similar frameworks) **without exceeding the model context window**.
|
||||
|
||||
@@ -23,7 +23,7 @@ Never do:
|
||||
- concatenate all `SKILL.md` content into a single system prompt;
|
||||
- re-inject the entire library for **every** request.
|
||||
|
||||
With over 1,1.421 skills, this approach fills the context window before user messages are even added, causing truncation.
|
||||
With over 1,1.423 skills, this approach fills the context window before user messages are even added, causing truncation.
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -20,7 +20,7 @@ This example shows one way to integrate **antigravity-awesome-skills** with a Je
|
||||
- How to enforce a **maximum number of skills per turn** via `maxSkillsPerTurn`.
|
||||
- How to choose whether to **truncate or error** when too many skills are requested via `overflowBehavior`.
|
||||
|
||||
This pattern avoids context overflow when you have 1,421+ skills installed.
|
||||
This pattern avoids context overflow when you have 1,423+ skills installed.
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -6,7 +6,7 @@ This document keeps the repository's GitHub-facing discovery copy aligned with t
|
||||
|
||||
Preferred positioning:
|
||||
|
||||
> Installable GitHub library of 1,421+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and other AI coding assistants.
|
||||
> Installable GitHub library of 1,423+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and other AI coding assistants.
|
||||
|
||||
Key framing:
|
||||
|
||||
@@ -20,7 +20,7 @@ Key framing:
|
||||
|
||||
Preferred description:
|
||||
|
||||
> Installable GitHub library of 1,421+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes installer CLI, bundles, workflows, and official/community skill collections.
|
||||
> Installable GitHub library of 1,423+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes installer CLI, bundles, workflows, and official/community skill collections.
|
||||
|
||||
Preferred homepage:
|
||||
|
||||
@@ -28,7 +28,7 @@ Preferred homepage:
|
||||
|
||||
Preferred social preview:
|
||||
|
||||
- use a clean preview image that says `1,421+ Agentic Skills`;
|
||||
- use a clean preview image that says `1,423+ Agentic Skills`;
|
||||
- mention Claude Code, Cursor, Codex CLI, and Gemini CLI;
|
||||
- avoid dense text and tiny logos that disappear in social cards.
|
||||
|
||||
|
||||
@@ -69,7 +69,7 @@ For manual updates, you need:
|
||||
The update process refreshes:
|
||||
- Skills index (`skills_index.json`)
|
||||
- Web app skills data (`apps\web-app\public\skills.json`)
|
||||
- All 1,421+ skills from the skills directory
|
||||
- All 1,423+ skills from the skills directory
|
||||
|
||||
## When to Update
|
||||
|
||||
|
||||
@@ -673,4 +673,4 @@ Found a skill that should be in a bundle? Or want to create a new bundle? [Open
|
||||
|
||||
---
|
||||
|
||||
_Last updated: March 2026 | Total Skills: 1,421+ | Total Bundles: 37_
|
||||
_Last updated: March 2026 | Total Skills: 1,423+ | Total Bundles: 37_
|
||||
|
||||
@@ -12,7 +12,7 @@ Install the library into Claude Code, then invoke focused skills directly in the
|
||||
|
||||
## Why use this repo for Claude Code
|
||||
|
||||
- It includes 1,421+ skills instead of a narrow single-domain starter pack.
|
||||
- It includes 1,423+ skills instead of a narrow single-domain starter pack.
|
||||
- It supports the standard `.claude/skills/` path and the Claude Code plugin marketplace flow.
|
||||
- It also ships generated bundle plugins so teams can install focused packs like `Essentials` or `Security Developer` from the marketplace metadata.
|
||||
- It includes onboarding docs, bundles, and workflows so new users do not need to guess where to begin.
|
||||
|
||||
@@ -12,7 +12,7 @@ Install into the Gemini skills path, then ask Gemini to apply one skill at a tim
|
||||
|
||||
- It installs directly into the expected Gemini skills path.
|
||||
- It includes both core software engineering skills and deeper agent/LLM-oriented skills.
|
||||
- It helps new users get started with bundles and workflows rather than forcing a cold start from 1,421+ files.
|
||||
- It helps new users get started with bundles and workflows rather than forcing a cold start from 1,423+ files.
|
||||
- It is useful whether you want a broad internal skill library or a single repo to test many workflows quickly.
|
||||
|
||||
## Install Gemini CLI Skills
|
||||
|
||||
@@ -18,7 +18,7 @@ Kiro is AWS's agentic AI IDE that combines:
|
||||
|
||||
Kiro's agentic capabilities are enhanced by skills that provide:
|
||||
|
||||
- **Domain expertise** across 1,421+ specialized areas
|
||||
- **Domain expertise** across 1,423+ specialized areas
|
||||
- **Best practices** from Anthropic, OpenAI, Google, Microsoft, and AWS
|
||||
- **Workflow automation** for common development tasks
|
||||
- **AWS-specific patterns** for serverless, infrastructure, and cloud architecture
|
||||
|
||||
@@ -14,7 +14,7 @@ If you came in through a **Claude Code** or **Codex** plugin instead of a full l
|
||||
|
||||
When you ran `npx antigravity-awesome-skills` or cloned the repository, you:
|
||||
|
||||
✅ **Downloaded 1,421+ skill files** to your computer (default: `~/.gemini/antigravity/skills/`; or a custom path like `~/.agent/skills/` if you used `--path`)
|
||||
✅ **Downloaded 1,423+ skill files** to your computer (default: `~/.gemini/antigravity/skills/`; or a custom path like `~/.agent/skills/` if you used `--path`)
|
||||
✅ **Made them available** to your AI assistant
|
||||
❌ **Did NOT enable them all automatically** (they're just sitting there, waiting)
|
||||
|
||||
@@ -34,7 +34,7 @@ Bundles are **curated groups** of skills organized by role. They help you decide
|
||||
|
||||
**Analogy:**
|
||||
|
||||
- You installed a toolbox with 1,421+ tools (✅ done)
|
||||
- You installed a toolbox with 1,423+ tools (✅ done)
|
||||
- Bundles are like **labeled organizer trays** saying: "If you're a carpenter, start with these 10 tools"
|
||||
- You can either **pick skills from the tray** or install that tray as a focused marketplace bundle plugin
|
||||
|
||||
@@ -212,7 +212,7 @@ Let's actually use a skill right now. Follow these steps:
|
||||
|
||||
## Step 5: Picking Your First Skills (Practical Advice)
|
||||
|
||||
Don't try to use all 1,421+ skills at once. Here's a sensible approach:
|
||||
Don't try to use all 1,423+ skills at once. Here's a sensible approach:
|
||||
|
||||
If you want a tool-specific starting point before choosing skills, use:
|
||||
|
||||
@@ -343,7 +343,7 @@ Usually no, but if your AI doesn't recognize a skill:
|
||||
|
||||
### "Can I load all skills into the model at once?"
|
||||
|
||||
No. Even though you have 1,421+ skills installed locally, you should **not** concatenate every `SKILL.md` into a single system prompt or context block.
|
||||
No. Even though you have 1,423+ skills installed locally, you should **not** concatenate every `SKILL.md` into a single system prompt or context block.
|
||||
|
||||
The intended pattern is:
|
||||
|
||||
|
||||
@@ -34,7 +34,7 @@ antigravity-awesome-skills/
|
||||
├── 📄 CONTRIBUTING.md ← Contributor workflow
|
||||
├── 📄 CATALOG.md ← Full generated catalog
|
||||
│
|
||||
├── 📁 skills/ ← 1,421+ skills live here
|
||||
├── 📁 skills/ ← 1,423+ skills live here
|
||||
│ │
|
||||
│ ├── 📁 brainstorming/
|
||||
│ │ └── 📄 SKILL.md ← Skill definition
|
||||
@@ -47,7 +47,7 @@ antigravity-awesome-skills/
|
||||
│ │ └── 📁 2d-games/
|
||||
│ │ └── 📄 SKILL.md ← Nested skills also supported
|
||||
│ │
|
||||
│ └── ... (1,421+ total)
|
||||
│ └── ... (1,423+ total)
|
||||
│
|
||||
├── 📁 apps/
|
||||
│ └── 📁 web-app/ ← Interactive browser
|
||||
@@ -100,7 +100,7 @@ antigravity-awesome-skills/
|
||||
|
||||
```
|
||||
┌─────────────────────────┐
|
||||
│ 1,421+ SKILLS │
|
||||
│ 1,423+ SKILLS │
|
||||
└────────────┬────────────┘
|
||||
│
|
||||
┌────────────────────────┼────────────────────────┐
|
||||
@@ -201,7 +201,7 @@ If you want a workspace-style manual install instead, cloning into `.agent/skill
|
||||
│ ├── 📁 brainstorming/ │
|
||||
│ ├── 📁 stripe-integration/ │
|
||||
│ ├── 📁 react-best-practices/ │
|
||||
│ └── ... (1,421+ total) │
|
||||
│ └── ... (1,423+ total) │
|
||||
└─────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "antigravity-awesome-skills",
|
||||
"version": "10.2.0",
|
||||
"description": "1,421+ agentic skills for Claude Code, Gemini CLI, Cursor, Antigravity & more. Installer CLI.",
|
||||
"description": "1,423+ agentic skills for Claude Code, Gemini CLI, Cursor, Antigravity & more. Installer CLI.",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
"validate": "node tools/scripts/run-python.js tools/scripts/validate_skills.py",
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "antigravity-awesome-skills",
|
||||
"version": "10.2.0",
|
||||
"description": "Plugin-safe Claude Code distribution of Antigravity Awesome Skills with 1,405 supported skills.",
|
||||
"description": "Plugin-safe Claude Code distribution of Antigravity Awesome Skills with 1,407 supported skills.",
|
||||
"author": {
|
||||
"name": "sickn33 and contributors",
|
||||
"url": "https://github.com/sickn33/antigravity-awesome-skills"
|
||||
|
||||
@@ -0,0 +1,180 @@
|
||||
---
|
||||
name: ai-dev-jobs-mcp
|
||||
description: "Search 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP"
|
||||
category: mcp
|
||||
risk: safe
|
||||
source: "https://aidevboard.com"
|
||||
source_type: community
|
||||
date_added: "2026-04-16"
|
||||
author: unitedideas
|
||||
tags: [mcp, jobs, ai-jobs, ml-jobs, recruiting, job-search, career]
|
||||
tools: [claude, cursor, gemini]
|
||||
---
|
||||
|
||||
# AI Dev Jobs MCP
|
||||
|
||||
## Overview
|
||||
|
||||
AI Dev Jobs is a remote MCP server that gives AI agents access to a live index of AI and ML job listings. As of April 17, 2026, the live MCP stats report 8,405 active roles across 489 companies, a $213,500 median salary, and 600 new jobs this week. Agents can search jobs by role, location, or company, retrieve full job details, list hiring companies, match roles to a profile, and get salary or aggregate market statistics. It is designed for AI agents that assist with job searching, recruiting, or labor market analysis.
|
||||
|
||||
## When to Use This Skill
|
||||
|
||||
- Use when helping a user search for AI or ML engineering jobs
|
||||
- Use when an agent needs to look up which companies are hiring for specific AI roles
|
||||
- Use when building recruiting or talent-matching workflows
|
||||
- Use when analyzing the AI job market (open positions, top companies, role distribution)
|
||||
|
||||
## MCP Configuration
|
||||
|
||||
Add the AI Dev Jobs MCP server to your client configuration. The endpoint uses streamable HTTP and requires no authentication.
|
||||
|
||||
### Claude Desktop / Cursor / Windsurf
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"ai-dev-jobs": {
|
||||
"url": "https://aidevboard.com/mcp"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
No API key or authentication is required.
|
||||
|
||||
## Available Tools
|
||||
|
||||
### `search_jobs`
|
||||
|
||||
Search the job index by keyword, location, company, or work arrangement. Returns matching listings with title, company, location, and salary information.
|
||||
|
||||
```
|
||||
search_jobs({ query: "machine learning engineer", location: "remote" })
|
||||
```
|
||||
|
||||
### `get_job`
|
||||
|
||||
Retrieve full details for a specific job listing by ID, including description, requirements, salary range, and application link.
|
||||
|
||||
```
|
||||
get_job({ id: "abc123" })
|
||||
```
|
||||
|
||||
### `list_companies`
|
||||
|
||||
List all companies in the index with their open position counts. Useful for discovering which companies are actively hiring.
|
||||
|
||||
```
|
||||
list_companies({})
|
||||
```
|
||||
|
||||
### `get_company`
|
||||
|
||||
Retrieve details for a specific company, including available AI roles when exposed by the endpoint.
|
||||
|
||||
```
|
||||
get_company({ id: "openai" })
|
||||
```
|
||||
|
||||
### `get_stats`
|
||||
|
||||
Get aggregate statistics about the job market: total listings, top companies by open roles, role distribution, and location breakdown.
|
||||
|
||||
```
|
||||
get_stats({})
|
||||
```
|
||||
|
||||
### `match_jobs`
|
||||
|
||||
Match jobs against a candidate profile, skills list, or preferences.
|
||||
|
||||
```
|
||||
match_jobs({ skills: ["python", "llm", "pytorch"], workplace: "remote" })
|
||||
```
|
||||
|
||||
### `get_salary_data`
|
||||
|
||||
Retrieve salary statistics for roles, tags, levels, or locations when available.
|
||||
|
||||
```
|
||||
get_salary_data({ tag: "llm", level: "senior" })
|
||||
```
|
||||
|
||||
### `list_tags`
|
||||
|
||||
List indexed tags that can be used to filter searches or salary analysis.
|
||||
|
||||
```
|
||||
list_tags({})
|
||||
```
|
||||
|
||||
## Examples
|
||||
|
||||
### Example 1: Find Remote ML Jobs
|
||||
|
||||
```text
|
||||
Use @ai-dev-jobs-mcp to find remote machine learning engineer positions.
|
||||
```
|
||||
|
||||
The agent will call `search_jobs({ query: "machine learning engineer", location: "remote" })` and return matching listings.
|
||||
|
||||
### Example 2: Check Which Companies Are Hiring
|
||||
|
||||
```text
|
||||
Use @ai-dev-jobs-mcp to list all companies currently hiring for AI roles.
|
||||
```
|
||||
|
||||
The agent will call `list_companies({})` and return companies sorted by number of open positions.
|
||||
|
||||
### Example 3: Get Job Market Overview
|
||||
|
||||
```text
|
||||
Use @ai-dev-jobs-mcp to show current AI job market statistics.
|
||||
```
|
||||
|
||||
The agent will call `get_stats({})` and return aggregate data on listings, top employers, and role distribution.
|
||||
|
||||
### Example 4: Get Full Job Details
|
||||
|
||||
```text
|
||||
Use @ai-dev-jobs-mcp to get the full details for job ID abc123.
|
||||
```
|
||||
|
||||
The agent will call `get_job({ id: "abc123" })` and return the complete listing with requirements and application link.
|
||||
|
||||
### Example 5: Match Jobs to a Candidate Profile
|
||||
|
||||
```text
|
||||
Use @ai-dev-jobs-mcp to match remote LLM roles to a senior Python and PyTorch profile.
|
||||
```
|
||||
|
||||
The agent will call `match_jobs({ skills: ["python", "llm", "pytorch"], workplace: "remote" })` and return suitable listings.
|
||||
|
||||
### Example 6: Compare Salary Data
|
||||
|
||||
```text
|
||||
Use @ai-dev-jobs-mcp to compare senior LLM salary data.
|
||||
```
|
||||
|
||||
The agent will call `get_salary_data({ tag: "llm", level: "senior" })` and summarize available compensation ranges.
|
||||
|
||||
## Best Practices
|
||||
|
||||
- Use `search_jobs` with specific keywords for targeted results rather than broad queries
|
||||
- Use `list_companies` to discover companies, then `search_jobs` filtered by company name for focused searches
|
||||
- Use `get_stats` to provide users with market context before diving into specific listings
|
||||
- Use `match_jobs` when the user gives skills, seniority, location, or work arrangement preferences
|
||||
- Use `get_salary_data` only as market context; remind users that listings and compensation change quickly
|
||||
- Combine with resume or cover letter skills to create end-to-end job application workflows
|
||||
|
||||
## Limitations
|
||||
|
||||
- The index covers AI and ML roles specifically; general software engineering jobs outside the AI space may not be included.
|
||||
- Job listings are refreshed regularly but may have a short delay before new postings appear.
|
||||
- Salary data is available when companies provide it; not all listings include salary information.
|
||||
- Counts and salary medians are live market data and should be refreshed with `get_stats` before quoting them in user-facing output.
|
||||
|
||||
## Related Skills
|
||||
|
||||
- `@not-human-search-mcp` - Discover AI-ready tools and APIs via MCP
|
||||
- `@mcp-builder` - For building your own MCP servers
|
||||
@@ -0,0 +1,155 @@
|
||||
---
|
||||
name: not-human-search-mcp
|
||||
description: "Search AI-ready websites, inspect indexed site details, verify MCP endpoints, and discover tools and APIs using the Not Human Search MCP server"
|
||||
category: mcp
|
||||
risk: safe
|
||||
source: "https://nothumansearch.ai"
|
||||
source_type: community
|
||||
date_added: "2026-04-16"
|
||||
author: unitedideas
|
||||
tags: [mcp, search, ai-discovery, api-discovery, mcp-verification, agent-tools]
|
||||
tools: [claude, cursor, gemini]
|
||||
---
|
||||
|
||||
# Not Human Search MCP
|
||||
|
||||
## Overview
|
||||
|
||||
Not Human Search is a remote MCP server that lets AI agents search a curated index of 1,750+ AI-ready websites, inspect indexed site details, submit new sites for analysis, and verify live MCP endpoints via JSON-RPC probe. It is designed for AI agents that need to discover tools, APIs, and services at runtime without relying on hardcoded lists.
|
||||
|
||||
## When to Use This Skill
|
||||
|
||||
- Use when an AI agent needs to discover tools, APIs, or MCP servers for a specific task
|
||||
- Use when you want to check whether a website exposes machine-readable endpoints (llms.txt, OpenAPI, MCP)
|
||||
- Use when verifying that an MCP endpoint is actually responding to JSON-RPC
|
||||
- Use when building agent workflows that need to find and connect to external services dynamically
|
||||
|
||||
## MCP Configuration
|
||||
|
||||
Add the Not Human Search MCP server to your client configuration. The endpoint uses streamable HTTP and requires no authentication.
|
||||
|
||||
### Claude Desktop / Cursor / Windsurf
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"not-human-search": {
|
||||
"url": "https://nothumansearch.ai/mcp"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
No API key or authentication is required.
|
||||
|
||||
## Available Tools
|
||||
|
||||
### `search_agents`
|
||||
|
||||
Search the index of 1,750+ AI-ready websites by keyword. Returns ranked results with scores, categories, and available endpoints.
|
||||
|
||||
```
|
||||
search_agents({ query: "code review tools", limit: 10 })
|
||||
```
|
||||
|
||||
### `get_site_details`
|
||||
|
||||
Check a specific domain's AI-readiness score and available machine-readable endpoints.
|
||||
|
||||
```
|
||||
get_site_details({ domain: "linear.app" })
|
||||
```
|
||||
|
||||
### `get_stats`
|
||||
|
||||
Get aggregate index statistics, including total indexed sites, categories, and endpoint coverage.
|
||||
|
||||
```
|
||||
get_stats({})
|
||||
```
|
||||
|
||||
### `submit_site`
|
||||
|
||||
Submit a URL for crawling and AI-readiness analysis.
|
||||
|
||||
```
|
||||
submit_site({ url: "https://example.com" })
|
||||
```
|
||||
|
||||
### `verify_mcp`
|
||||
|
||||
Verify whether a URL is a live MCP endpoint by sending a JSON-RPC probe and checking for a valid response.
|
||||
|
||||
```
|
||||
verify_mcp({ url: "https://example.com/mcp" })
|
||||
```
|
||||
|
||||
### `list_categories`
|
||||
|
||||
List available discovery categories for narrowing searches.
|
||||
|
||||
```
|
||||
list_categories({})
|
||||
```
|
||||
|
||||
### `get_top_sites`
|
||||
|
||||
Retrieve top-ranked indexed sites.
|
||||
|
||||
```
|
||||
get_top_sites({ limit: 10 })
|
||||
```
|
||||
|
||||
### `register_monitor`
|
||||
|
||||
Register a domain monitor using a user-provided email address.
|
||||
|
||||
```
|
||||
register_monitor({ domain: "example.com", email: "user@example.com" })
|
||||
```
|
||||
|
||||
## Examples
|
||||
|
||||
### Example 1: Discover Code Review Tools
|
||||
|
||||
```text
|
||||
Use @not-human-search-mcp to find code review tools that expose MCP or API endpoints.
|
||||
```
|
||||
|
||||
The agent will call `search_agents({ query: "code review", limit: 10 })` and return ranked results with scores and endpoint details.
|
||||
|
||||
### Example 2: Check if a Site is AI-Ready
|
||||
|
||||
```text
|
||||
Use @not-human-search-mcp to check the AI-readiness of linear.app.
|
||||
```
|
||||
|
||||
The agent will call `get_site_details({ domain: "linear.app" })` and return the site's score breakdown.
|
||||
|
||||
### Example 3: Verify an MCP Endpoint
|
||||
|
||||
```text
|
||||
Use @not-human-search-mcp to verify that https://heliumtrades.com/mcp is a working MCP server.
|
||||
```
|
||||
|
||||
The agent will call `verify_mcp({ url: "https://heliumtrades.com/mcp" })` and confirm whether it responds to JSON-RPC.
|
||||
|
||||
## Best Practices
|
||||
|
||||
- Use `search_agents` for broad discovery, then `get_site_details` for detailed analysis of specific indexed results
|
||||
- Use `verify_mcp` to confirm an MCP endpoint is live before wiring it into an agent workflow
|
||||
- Use `submit_site` when a relevant site is absent from the index and the user wants it analyzed
|
||||
- Use `register_monitor` only with an email address the user explicitly provides for monitoring
|
||||
- Combine with other MCP skills to build dynamic tool-discovery pipelines
|
||||
|
||||
## Limitations
|
||||
|
||||
- The search index covers 1,750+ sites and is updated regularly, but may not include every site on the internet.
|
||||
- Scoring reflects machine-readable signals (llms.txt, OpenAPI, MCP, structured data) rather than content quality.
|
||||
- `verify_mcp` sends a JSON-RPC probe to the target URL; only use it on URLs you expect to be MCP endpoints.
|
||||
- `register_monitor` requires a user-provided email address and consent to receive monitoring notifications.
|
||||
|
||||
## Related Skills
|
||||
|
||||
- `@mcp-builder` - For building your own MCP servers
|
||||
- `@ai-dev-jobs-mcp` - Search AI/ML job listings via MCP
|
||||
@@ -19,7 +19,7 @@
|
||||
"skills": "./skills/",
|
||||
"interface": {
|
||||
"displayName": "Antigravity Awesome Skills",
|
||||
"shortDescription": "1,390 plugin-safe skills for coding, security, product, and ops workflows.",
|
||||
"shortDescription": "1,392 plugin-safe skills for coding, security, product, and ops workflows.",
|
||||
"longDescription": "Install a plugin-safe Codex distribution of Antigravity Awesome Skills. Skills that still need hardening or target-specific setup remain available in the repo but are excluded from this plugin.",
|
||||
"developerName": "sickn33 and contributors",
|
||||
"category": "Productivity",
|
||||
|
||||
@@ -0,0 +1,180 @@
|
||||
---
|
||||
name: ai-dev-jobs-mcp
|
||||
description: "Search 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP"
|
||||
category: mcp
|
||||
risk: safe
|
||||
source: "https://aidevboard.com"
|
||||
source_type: community
|
||||
date_added: "2026-04-16"
|
||||
author: unitedideas
|
||||
tags: [mcp, jobs, ai-jobs, ml-jobs, recruiting, job-search, career]
|
||||
tools: [claude, cursor, gemini]
|
||||
---
|
||||
|
||||
# AI Dev Jobs MCP
|
||||
|
||||
## Overview
|
||||
|
||||
AI Dev Jobs is a remote MCP server that gives AI agents access to a live index of AI and ML job listings. As of April 17, 2026, the live MCP stats report 8,405 active roles across 489 companies, a $213,500 median salary, and 600 new jobs this week. Agents can search jobs by role, location, or company, retrieve full job details, list hiring companies, match roles to a profile, and get salary or aggregate market statistics. It is designed for AI agents that assist with job searching, recruiting, or labor market analysis.
|
||||
|
||||
## When to Use This Skill
|
||||
|
||||
- Use when helping a user search for AI or ML engineering jobs
|
||||
- Use when an agent needs to look up which companies are hiring for specific AI roles
|
||||
- Use when building recruiting or talent-matching workflows
|
||||
- Use when analyzing the AI job market (open positions, top companies, role distribution)
|
||||
|
||||
## MCP Configuration
|
||||
|
||||
Add the AI Dev Jobs MCP server to your client configuration. The endpoint uses streamable HTTP and requires no authentication.
|
||||
|
||||
### Claude Desktop / Cursor / Windsurf
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"ai-dev-jobs": {
|
||||
"url": "https://aidevboard.com/mcp"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
No API key or authentication is required.
|
||||
|
||||
## Available Tools
|
||||
|
||||
### `search_jobs`
|
||||
|
||||
Search the job index by keyword, location, company, or work arrangement. Returns matching listings with title, company, location, and salary information.
|
||||
|
||||
```
|
||||
search_jobs({ query: "machine learning engineer", location: "remote" })
|
||||
```
|
||||
|
||||
### `get_job`
|
||||
|
||||
Retrieve full details for a specific job listing by ID, including description, requirements, salary range, and application link.
|
||||
|
||||
```
|
||||
get_job({ id: "abc123" })
|
||||
```
|
||||
|
||||
### `list_companies`
|
||||
|
||||
List all companies in the index with their open position counts. Useful for discovering which companies are actively hiring.
|
||||
|
||||
```
|
||||
list_companies({})
|
||||
```
|
||||
|
||||
### `get_company`
|
||||
|
||||
Retrieve details for a specific company, including available AI roles when exposed by the endpoint.
|
||||
|
||||
```
|
||||
get_company({ id: "openai" })
|
||||
```
|
||||
|
||||
### `get_stats`
|
||||
|
||||
Get aggregate statistics about the job market: total listings, top companies by open roles, role distribution, and location breakdown.
|
||||
|
||||
```
|
||||
get_stats({})
|
||||
```
|
||||
|
||||
### `match_jobs`
|
||||
|
||||
Match jobs against a candidate profile, skills list, or preferences.
|
||||
|
||||
```
|
||||
match_jobs({ skills: ["python", "llm", "pytorch"], workplace: "remote" })
|
||||
```
|
||||
|
||||
### `get_salary_data`
|
||||
|
||||
Retrieve salary statistics for roles, tags, levels, or locations when available.
|
||||
|
||||
```
|
||||
get_salary_data({ tag: "llm", level: "senior" })
|
||||
```
|
||||
|
||||
### `list_tags`
|
||||
|
||||
List indexed tags that can be used to filter searches or salary analysis.
|
||||
|
||||
```
|
||||
list_tags({})
|
||||
```
|
||||
|
||||
## Examples
|
||||
|
||||
### Example 1: Find Remote ML Jobs
|
||||
|
||||
```text
|
||||
Use @ai-dev-jobs-mcp to find remote machine learning engineer positions.
|
||||
```
|
||||
|
||||
The agent will call `search_jobs({ query: "machine learning engineer", location: "remote" })` and return matching listings.
|
||||
|
||||
### Example 2: Check Which Companies Are Hiring
|
||||
|
||||
```text
|
||||
Use @ai-dev-jobs-mcp to list all companies currently hiring for AI roles.
|
||||
```
|
||||
|
||||
The agent will call `list_companies({})` and return companies sorted by number of open positions.
|
||||
|
||||
### Example 3: Get Job Market Overview
|
||||
|
||||
```text
|
||||
Use @ai-dev-jobs-mcp to show current AI job market statistics.
|
||||
```
|
||||
|
||||
The agent will call `get_stats({})` and return aggregate data on listings, top employers, and role distribution.
|
||||
|
||||
### Example 4: Get Full Job Details
|
||||
|
||||
```text
|
||||
Use @ai-dev-jobs-mcp to get the full details for job ID abc123.
|
||||
```
|
||||
|
||||
The agent will call `get_job({ id: "abc123" })` and return the complete listing with requirements and application link.
|
||||
|
||||
### Example 5: Match Jobs to a Candidate Profile
|
||||
|
||||
```text
|
||||
Use @ai-dev-jobs-mcp to match remote LLM roles to a senior Python and PyTorch profile.
|
||||
```
|
||||
|
||||
The agent will call `match_jobs({ skills: ["python", "llm", "pytorch"], workplace: "remote" })` and return suitable listings.
|
||||
|
||||
### Example 6: Compare Salary Data
|
||||
|
||||
```text
|
||||
Use @ai-dev-jobs-mcp to compare senior LLM salary data.
|
||||
```
|
||||
|
||||
The agent will call `get_salary_data({ tag: "llm", level: "senior" })` and summarize available compensation ranges.
|
||||
|
||||
## Best Practices
|
||||
|
||||
- Use `search_jobs` with specific keywords for targeted results rather than broad queries
|
||||
- Use `list_companies` to discover companies, then `search_jobs` filtered by company name for focused searches
|
||||
- Use `get_stats` to provide users with market context before diving into specific listings
|
||||
- Use `match_jobs` when the user gives skills, seniority, location, or work arrangement preferences
|
||||
- Use `get_salary_data` only as market context; remind users that listings and compensation change quickly
|
||||
- Combine with resume or cover letter skills to create end-to-end job application workflows
|
||||
|
||||
## Limitations
|
||||
|
||||
- The index covers AI and ML roles specifically; general software engineering jobs outside the AI space may not be included.
|
||||
- Job listings are refreshed regularly but may have a short delay before new postings appear.
|
||||
- Salary data is available when companies provide it; not all listings include salary information.
|
||||
- Counts and salary medians are live market data and should be refreshed with `get_stats` before quoting them in user-facing output.
|
||||
|
||||
## Related Skills
|
||||
|
||||
- `@not-human-search-mcp` - Discover AI-ready tools and APIs via MCP
|
||||
- `@mcp-builder` - For building your own MCP servers
|
||||
@@ -0,0 +1,155 @@
|
||||
---
|
||||
name: not-human-search-mcp
|
||||
description: "Search AI-ready websites, inspect indexed site details, verify MCP endpoints, and discover tools and APIs using the Not Human Search MCP server"
|
||||
category: mcp
|
||||
risk: safe
|
||||
source: "https://nothumansearch.ai"
|
||||
source_type: community
|
||||
date_added: "2026-04-16"
|
||||
author: unitedideas
|
||||
tags: [mcp, search, ai-discovery, api-discovery, mcp-verification, agent-tools]
|
||||
tools: [claude, cursor, gemini]
|
||||
---
|
||||
|
||||
# Not Human Search MCP
|
||||
|
||||
## Overview
|
||||
|
||||
Not Human Search is a remote MCP server that lets AI agents search a curated index of 1,750+ AI-ready websites, inspect indexed site details, submit new sites for analysis, and verify live MCP endpoints via JSON-RPC probe. It is designed for AI agents that need to discover tools, APIs, and services at runtime without relying on hardcoded lists.
|
||||
|
||||
## When to Use This Skill
|
||||
|
||||
- Use when an AI agent needs to discover tools, APIs, or MCP servers for a specific task
|
||||
- Use when you want to check whether a website exposes machine-readable endpoints (llms.txt, OpenAPI, MCP)
|
||||
- Use when verifying that an MCP endpoint is actually responding to JSON-RPC
|
||||
- Use when building agent workflows that need to find and connect to external services dynamically
|
||||
|
||||
## MCP Configuration
|
||||
|
||||
Add the Not Human Search MCP server to your client configuration. The endpoint uses streamable HTTP and requires no authentication.
|
||||
|
||||
### Claude Desktop / Cursor / Windsurf
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"not-human-search": {
|
||||
"url": "https://nothumansearch.ai/mcp"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
No API key or authentication is required.
|
||||
|
||||
## Available Tools
|
||||
|
||||
### `search_agents`
|
||||
|
||||
Search the index of 1,750+ AI-ready websites by keyword. Returns ranked results with scores, categories, and available endpoints.
|
||||
|
||||
```
|
||||
search_agents({ query: "code review tools", limit: 10 })
|
||||
```
|
||||
|
||||
### `get_site_details`
|
||||
|
||||
Check a specific domain's AI-readiness score and available machine-readable endpoints.
|
||||
|
||||
```
|
||||
get_site_details({ domain: "linear.app" })
|
||||
```
|
||||
|
||||
### `get_stats`
|
||||
|
||||
Get aggregate index statistics, including total indexed sites, categories, and endpoint coverage.
|
||||
|
||||
```
|
||||
get_stats({})
|
||||
```
|
||||
|
||||
### `submit_site`
|
||||
|
||||
Submit a URL for crawling and AI-readiness analysis.
|
||||
|
||||
```
|
||||
submit_site({ url: "https://example.com" })
|
||||
```
|
||||
|
||||
### `verify_mcp`
|
||||
|
||||
Verify whether a URL is a live MCP endpoint by sending a JSON-RPC probe and checking for a valid response.
|
||||
|
||||
```
|
||||
verify_mcp({ url: "https://example.com/mcp" })
|
||||
```
|
||||
|
||||
### `list_categories`
|
||||
|
||||
List available discovery categories for narrowing searches.
|
||||
|
||||
```
|
||||
list_categories({})
|
||||
```
|
||||
|
||||
### `get_top_sites`
|
||||
|
||||
Retrieve top-ranked indexed sites.
|
||||
|
||||
```
|
||||
get_top_sites({ limit: 10 })
|
||||
```
|
||||
|
||||
### `register_monitor`
|
||||
|
||||
Register a domain monitor using a user-provided email address.
|
||||
|
||||
```
|
||||
register_monitor({ domain: "example.com", email: "user@example.com" })
|
||||
```
|
||||
|
||||
## Examples
|
||||
|
||||
### Example 1: Discover Code Review Tools
|
||||
|
||||
```text
|
||||
Use @not-human-search-mcp to find code review tools that expose MCP or API endpoints.
|
||||
```
|
||||
|
||||
The agent will call `search_agents({ query: "code review", limit: 10 })` and return ranked results with scores and endpoint details.
|
||||
|
||||
### Example 2: Check if a Site is AI-Ready
|
||||
|
||||
```text
|
||||
Use @not-human-search-mcp to check the AI-readiness of linear.app.
|
||||
```
|
||||
|
||||
The agent will call `get_site_details({ domain: "linear.app" })` and return the site's score breakdown.
|
||||
|
||||
### Example 3: Verify an MCP Endpoint
|
||||
|
||||
```text
|
||||
Use @not-human-search-mcp to verify that https://heliumtrades.com/mcp is a working MCP server.
|
||||
```
|
||||
|
||||
The agent will call `verify_mcp({ url: "https://heliumtrades.com/mcp" })` and confirm whether it responds to JSON-RPC.
|
||||
|
||||
## Best Practices
|
||||
|
||||
- Use `search_agents` for broad discovery, then `get_site_details` for detailed analysis of specific indexed results
|
||||
- Use `verify_mcp` to confirm an MCP endpoint is live before wiring it into an agent workflow
|
||||
- Use `submit_site` when a relevant site is absent from the index and the user wants it analyzed
|
||||
- Use `register_monitor` only with an email address the user explicitly provides for monitoring
|
||||
- Combine with other MCP skills to build dynamic tool-discovery pipelines
|
||||
|
||||
## Limitations
|
||||
|
||||
- The search index covers 1,750+ sites and is updated regularly, but may not include every site on the internet.
|
||||
- Scoring reflects machine-readable signals (llms.txt, OpenAPI, MCP, structured data) rather than content quality.
|
||||
- `verify_mcp` sends a JSON-RPC probe to the target URL; only use it on URLs you expect to be MCP endpoints.
|
||||
- `register_monitor` requires a user-provided email address and consent to receive monitoring notifications.
|
||||
|
||||
## Related Skills
|
||||
|
||||
- `@mcp-builder` - For building your own MCP servers
|
||||
- `@ai-dev-jobs-mcp` - Search AI/ML job listings via MCP
|
||||
@@ -839,6 +839,28 @@
|
||||
"reasons": []
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "ai-dev-jobs-mcp",
|
||||
"path": "skills/ai-dev-jobs-mcp",
|
||||
"category": "mcp",
|
||||
"name": "ai-dev-jobs-mcp",
|
||||
"description": "Search 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP",
|
||||
"risk": "safe",
|
||||
"source": "https://aidevboard.com",
|
||||
"date_added": "2026-04-16",
|
||||
"plugin": {
|
||||
"targets": {
|
||||
"codex": "supported",
|
||||
"claude": "supported"
|
||||
},
|
||||
"setup": {
|
||||
"type": "none",
|
||||
"summary": "",
|
||||
"docs": null
|
||||
},
|
||||
"reasons": []
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "ai-engineer",
|
||||
"path": "skills/ai-engineer",
|
||||
@@ -19799,6 +19821,28 @@
|
||||
"reasons": []
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "not-human-search-mcp",
|
||||
"path": "skills/not-human-search-mcp",
|
||||
"category": "mcp",
|
||||
"name": "not-human-search-mcp",
|
||||
"description": "Search AI-ready websites, inspect indexed site details, verify MCP endpoints, and discover tools and APIs using the Not Human Search MCP server",
|
||||
"risk": "safe",
|
||||
"source": "https://nothumansearch.ai",
|
||||
"date_added": "2026-04-16",
|
||||
"plugin": {
|
||||
"targets": {
|
||||
"codex": "supported",
|
||||
"claude": "supported"
|
||||
},
|
||||
"setup": {
|
||||
"type": "none",
|
||||
"summary": "",
|
||||
"docs": null
|
||||
},
|
||||
"reasons": []
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "notebooklm",
|
||||
"path": "skills/notebooklm",
|
||||
|
||||
Reference in New Issue
Block a user