Files
get-shit-done/docs
Jeremy McSpadden 523a13f1e8 feat(agents): add gsd-doc-classifier and gsd-doc-synthesizer
Two new specialist agents for /gsd-ingest-docs (#2387):

- gsd-doc-classifier: reads one doc, writes JSON classification
  ({ADR|PRD|SPEC|DOC|UNKNOWN} + title + scope + cross-refs + locked).
  Heuristic-first, LLM on ambiguous. Designed for parallel fan-out per doc.

- gsd-doc-synthesizer: consumes all classifications + sources, applies
  precedence rules (ADR>SPEC>PRD>DOC, manifest-overridable), runs cycle
  detection on cross-ref graph, enforces LOCKED-vs-LOCKED hard-blocks
  in both modes, writes INGEST-CONFLICTS.md with three buckets
  (auto-resolved, competing-variants, unresolved-blockers) and
  per-type intel staging files for gsd-roadmapper.

Also updates docs/ARCHITECTURE.md total-agents count (31 → 33) and the
copilot-install expected agent list.

Refs #2387

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-17 17:12:02 -05:00
..

GSD Documentation

Comprehensive documentation for the Get Shit Done (GSD) framework — a meta-prompting, context engineering, and spec-driven development system for AI coding agents.

Language versions: English · Português (pt-BR) · 日本語 · 简体中文

Documentation Index

Document Audience Description
Architecture Contributors, advanced users System architecture, agent model, data flow, and internal design
Feature Reference All users Complete feature and function documentation with requirements
Command Reference All users Every command with syntax, flags, options, and examples
Configuration Reference All users Full config schema, workflow toggles, model profiles, git branching
CLI Tools Reference Contributors, agent authors gsd-tools.cjs programmatic API for workflows and agents
Agent Reference Contributors, advanced users All 18 specialized agents — roles, tools, spawn patterns
User Guide All users Workflow walkthroughs, troubleshooting, and recovery
Context Monitor All users Context window monitoring hook architecture
Discuss Mode All users Assumptions vs interview mode for discuss-phase