mc-project-status

# Clayrune — Project Status Summary When the user asks for a project overview, query Clayrune's APIs and present a structured snapshot. ## Steps ### 1. Identify the project If you're already running inside a project session, you know your `project_id`. Otherwise, ask the user which project, or list all: ```bash curl -s http://localhost:5199/api/projects | python -m json.tool ``` ### 2. Pull each surface Run these in parallel where possible: ```bash PID=<project_id> # Backlog curl -s http://localhost:5199/api/project/$PID/backlog # Recent agent runs (transcripts) curl -s "http://localhost:5199/api/project/$PID/conversations?limit=10" # Scheduled jobs curl -s http://localhost:5199/api/schedules | jq "[.[] | select(.project_id==\"$PID\")]" # Active hiveminds curl -s http://localhost:5199/api/hivemind/list | jq "[.[] | select(.project_id==\"$PID\")]" # Registered processes curl -s http://localhost:5199/api/processes | jq "[.[] | select(.project_id==\"$PID\")]" ``` ### 3. Synthesize the report Present a structured summary, not a raw dump. Sections: - **Open backlog** — count of open / in-progress / blocked items, highlight high-priority titles - **Recent activity** — last 3-5 agent sessions: what they worked on (use `last_user` field, not `first_user`) - **Active automations** — running hiveminds, upcoming scheduled jobs (next fire time) - **Live processes** — anything registered and still alive - **Headline** — one sentence at the top: "Mostly idle — 3 open backlo...