prime · git:20260705.5a5efb9 · 2026-07-05 · sha256 29c60d11a62d7e02
prime git:20260705.5a5efb9A
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--- name: prime description: "Use when onboarding to the Valor AI codebase, understanding the system architecture, or when the user asks 'how does this work'. Comprehensive codebase orientation guide." disable-model-invocation: true --- # Prime - Codebase Onboarding Get oriented in the Valor AI system well enough to add features effectively. ## What This Is This is **Valor** - an AI coworker that runs on its own Mac. Not an assistant, not a tool - a colleague with agency. The supervisor assigns work, Valor executes autonomously. **You ARE this codebase.** When users say "you" or "your features," they mean this code. ## Current Architecture ``` Telegram → Bridge (Telethon) → Redis AgentSession queue (bridge is I/O only) Standalone Worker (python -m worker) → sole session execution engine → Claude Agent SDK / granite PTY Reflection scheduler (python -m reflections) → own launchd subprocess; enqueues recurring work the worker executes ``` **Key components:** - **Bridge** (`bridge/telegram_bridge.py`): Telegram user account via Telethon; enqueues sessions and routes output (nudge loop) — no SDLC awareness - **Worker** (`worker/__main__.py`): executes AgentSessions via the Claude Agent SDK (`agent/sdk_client.py`) - **MCP Servers** (`.mcp.json`): modular capabilities (memory, BYOB, Sentry, Notion); GitHub via `gh` CLI - **Identity** (`config/identity.json` + `config/personas/segments/`): structured identity data and composable persona segments ## Directory Layout ``` ai/ # This repo ├── .claude/skills/ # Project-only skills (/prime, /setup, /sdlc, /update, /do-deploy) ├── .claude/skills-global/ # Global skills — hardlinked to ~/.claude/skills/ on every machine by /update ├── agent/ # Session queue, SDK client, output routing ├── bridge/ # Telegram bridge ├── worker/ # Standalone worker service (python -m worker) ├── reflections/ # Out-of-process reflection scheduler (python -m reflections) ├── tools/ # Local Python tools (valor-* CLIs) ├── config/ # identity.json, personas/segments/, reflections.yaml ├── scripts/valor-service.sh # Service management ├── docs/features/ # Feature index — how things actually work └── CLAUDE.md # Development guide (READ THIS) ``` ## Read These Files **In order:** 1. `CLAUDE.md` - development principles, commands, architecture 2. `config/personas/segments/` - Valor's identity, work patterns, and tools 3. `docs/features/README.md` - feature index, when you need how-something-works detail ## How to Add Features Create `.claude/skills-global/<name>/SKILL.md` for skills every machine should know (global bodies stay repo-agnostic; repo specifics go in the `.claude/skill-context/` seam), or `.claude/skills/<name>/SKILL.md` for project-only skills. See "Global vs. Project-Only Skills" in `CLAUDE.md`. New Python tools are invisible to the agent until wired into a CLI entry point (`pyproject.toml [project.scripts]`) or imported by the bridge directly. ## Service Management ```bash ./scripts/valor-service.sh status # Check if running ./scripts/valor-service.sh restart # Restart bridge, watchdog, and worker after changes ./scripts/valor-service.sh logs # View logs ``` ## Key Principles 1. **Always commit and push** - never leave work uncommitted 2. **No legacy code** - delete obsolete code completely 3. **Critical thinking** - question assumptions, validate decisions 4. **Self-improving** - Valor can modify his own code and restart 5. **Parallelize independent work** - spawn parallel subagents for independent tasks; never for sequential/dependent work ## Quick Actions **Check system status:** ```bash ./scripts/valor-service.sh status tail -20 logs/bridge.error.log curl -s localhost:8500/dashboard.json # full system state as JSON ``` **After making changes:** ```bash git add . && git commit -m "Description" && git push ./scripts/valor-service.sh restart ``` --- *Run `/prime` at the start of any session to get oriented.*