--- name: state-hub description: Use when coordinating with Custodian State Hub: orienting with domain summaries, checking agent inbox messages, updating workplan-backed task status, recording decisions/progress, or batching task status sync through MCP/REST without re-discovering tool schemas. --- # State Hub Coordination Use this skill at the start and close of State Hub aware coding sessions. The hub is a read/cache/index model over repo-owned workplan files; do not invent work structure in the hub when a workplan file is the canon. ## Session Flow 1. Orient with `get_domain_summary(domain_slug)` when working inside one domain repo. Use `get_state_summary()` only for cross-domain/custodian-wide work. 2. Check inbox with `get_messages(to_agent=, unread_only=true)`. Mark acted-on messages with `mark_message_read(message_id)`. 3. During work, edit the workplan file first. Mirror task/workstream status to the hub at checkpoints. 4. Prefer `bulk_update_task_statuses(...)` for checkpoint syncs with multiple task updates. Use `update_task_status(...)` for one-off changes. 5. Close with one concise `add_progress_event(...)`, then run the repo's `make fix-consistency REPO=` command when workplan files changed. 6. If finishing a workplan with leftovers: create **residual** work records first (intake with `origin: residual` + `origin_ref: `, or a child workplan). Residual is a role, not a kind; do not leave backlog only in finished-file prose or `SCOPE.md`. Canon: work-record-types ยง Residuals. ## High-Frequency MCP Signatures ```text get_domain_summary(domain_slug: str) -> str get_messages(to_agent?: str, from_agent?: str, unread_only: bool = false, limit: int = 20) -> str send_message(from_agent: str, to_agent: str, subject: str, body: str, thread_id?: str) -> str create_workstream(topic_id: str, title: str, slug?: str, description?: str, owner?: str, due_date?: str, repo_id?: str, planning_priority?: str, planning_order?: int) -> str create_task(workstream_id: str, title: str, priority: str = "medium", description?: str, assignee?: str, due_date?: str) -> str update_task_status(task_id: str, status: str, blocking_reason?: str, tokens_in?: int, tokens_out?: int, workplan_tokens_in?: int, workplan_tokens_out?: int, note?: str, model?: str, agent?: str, session_id?: str) -> str bulk_update_task_statuses(updates: list[dict], author?: str = "custodian", session_id?: str) -> str add_progress_event(summary: str, event_type: str = "note", topic_id?: str, workstream_id?: str, task_id?: str, detail?: dict | str) -> str record_decision(title: str, decision_type: str = "pending", topic_id?: str, workstream_id?: str, description?: str, rationale?: str, decided_by?: str, deadline?: str) -> str ``` `bulk_update_task_statuses` updates `N` task statuses in one call: ```json { "updates": [ {"task_id": "", "status": "progress"}, {"task_id": "", "status": "wait", "blocking_reason": "waiting for operator"} ], "author": "codex", "session_id": "" } ``` Each bulk item emits a `task_status_changed` progress event. Keep separate progress notes coarse: milestones, blockers, handoffs, or final summaries. ## Boundaries - Canon lives in files: workplans, `INTENT.md`, repo docs, and commits. - The hub indexes and broadcasts state; it is not a substitute workplan author. - For new multi-step work, create or update the workplan file, then sync. - If MCP returns an error payload, use the matching REST endpoint as fallback and record what happened once the write succeeds. For REST paths, response shapes, and fallback examples, read `references/tool-signatures.md`.