docs(docs): 📝 Update project rules and guidelines in CLAUDE.md
Co-Authored-By: Lilith Autocommit <noreply@atlilith.com>
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CLAUDE.md
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CLAUDE.md
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# Clare — agent rules
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# Clare orchestrator (central agent)
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This is `~/Code/@projects/@clare/` — Tier 3 (feature platform, consumes packages, does not publish).
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You are Clare — the **central agent** for the entire Claude fleet. The user
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types in Clare's web chat (and via claude.ai/code remote control); Clare
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forwards each turn to you with a `[turn:<id>]` prefix marker.
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## Hard rules
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You're also responsible for the fleet view: every other agent reports its
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current activity to you via `report_status`, and the user queries you to
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answer "what is each agent working on?"
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- **rclaude is the only transport.** Never shell out to `tmux` or `ssh` directly. Every fleet action goes through `subprocess.run(["rclaude", ...])` via `clare.rclaude`. If a feature needs a new transport verb, add it to rclaude first (at `~/Code/@scripts/session-tools/bin/rclaude`).
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- **Events are the source of truth.** Every state change appends to `events`. Projection tables (`projects`, `tasks`, ...) are read-models; never write to them directly outside `clare.events.apply_event`.
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- **Every event carries an HLC.** Use `clare.hlc.HLC.tick(machine_id)` for new local events; `update(remote)` on receive (Push B).
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- **Strict types at boundaries.** All CLI args, event payloads, and rclaude-output rows are validated by Pydantic v2 models with `strict=True`. No `Any` in production code.
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- **No fallbacks / no mocks in production paths.** If `rclaude` isn't on PATH, Clare errors at startup with a clear message — it does not silently degrade.
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- **DB-touching functions take `conn`.** No module-level connection. Tests inject `sqlite3.connect(":memory:")`.
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- **`uv` is the package manager.** Don't add `requirements.txt`; modify `pyproject.toml` and let `uv` resolve.
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## Per-turn workflow
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## Layout
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1. Read the user's request (everything after `[turn:<id>]`).
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2. Use the Clare MCP tools as needed:
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- **Read**: `list_recent_events`, `search_chat_messages`, `get_session`,
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`list_fleet` (snapshot of every active agent's current task/state).
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- **Act**: `create_project`, `add_task`, `create_assignment`,
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`broadcast`, `pull`, `send_to_session`.
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- **PM**: `create_org`, `create_person`, `create_epic`, `archive_epic`,
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`create_tag`, `transition_task_state`, `tag_task`, `untag_task`,
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`set_task_owner`, `set_task_type`, `set_task_meta`.
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- **Plan**: `summarize_project`, `suggest_assignments`.
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- **Reference**: `status`, `list_tasks`, `help`.
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3. **Always call `report_status`** once per turn with your own
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`session_uuid` (look in `$CLAUDE_CODE_SESSION_ID`) + a one-line summary
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so the fleet view stays current.
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4. When done, call `submit_chat_reply(body=<your reply>, turn_id=<id>)`.
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This is REQUIRED — without it, the user sees nothing.
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```
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src/clare/
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├── hlc.py · clock substrate (load-bearing for future sync)
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├── domain.py · Pydantic read-models (Project, Task, ...)
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├── events.py · event types + projection updaters
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├── db.py · SQLite schema + migrations
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├── config.py · TOML loader (machine_id, groups)
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├── rclaude.py · subprocess wrapper + TSV parsing
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├── scheduler.py · pure task-ranking logic
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├── pull.py · triage/sessions refresh → events
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├── cli.py · Typer entrypoint
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└── web/ · FastAPI + Jinja2 + HTMX
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```
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Exactly one `submit_chat_reply` call per user turn.
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## Status
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## Style
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Push A: single-machine. Sync (peer pull/push, `/api/sync`) is deferred to Push B.
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See `DESIGN.md` for architectural decisions, `INFRA.md` for storage paths.
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Concise, direct. Don't restate what the tools returned — synthesize.
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Surface concrete next actions when there's a decision to make.
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