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Renn F
5902c0fe38
A global, read-only PR reviewer agent (pr-reviewer-1) that reviews inbound external/fork PRs and posts one change-request. Wired end-to-end: - identity: Role.PR_REVIEWER + agent + ROLE_LEVEL (QA-peer) + REVIEWER_ROLES - lifecycle: CLAIM_RULES + ROLE_TEAM_RULES + a dedicated claim_pr_review / post_pr_review verb pair (distinct from QA's) + the pr_review_done action and its in_progress->completed transition; give_me_work / i_am_idle gain the role - role_config: a read-only RoleConfig (allows_write=False) - journaling: ALL_CELLS read tier so it can read internal intent like QA - tracing: post_pr_review requires a learning entry; claim_pr_review is waived - seeds presentation + factory prompt layer + builtin tools + the agentrole enum migration (037) + regenerated verb/lifecycle artifacts Read-only at /app like QA/auditor; default-off — nothing dispatches review work until external_pr_enabled. Foundation + role-config + enum suites green; ruff + mypy clean; orchestrator boots.
RAG Knowledge Base Documentation
Optimized documentation for the RoboCo AI agent knowledge base. Each file is sized for effective RAG chunking.
Structure
docs/rag/
├── roles/ # Agent role responsibilities
├── workflows/ # Step-by-step task flows
├── standards/ # Coding, security, testing rules
├── architecture/ # System components
├── tools/ # MCP tools reference
└── troubleshooting/ # Common issues and fixes
Organization Principles
- One topic per file - Each file covers a single concept
- Chunk-friendly - Content fits in 512-1536 token chunks
- Self-contained - Each file provides complete context
- Actionable - Focus on what agents need to DO
For Agents
When searching the knowledge base:
- Use
roboco_kb_search()for semantic search - Use
roboco_rag_query()for AI-synthesized answers - Use
roboco_ask_mentor()for conversational help
See docs/rag/tools/kb-tools.md for the full KB tool reference.