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Claude-Code-Monitor/plugins/ccam-workflows/commands/workflow.md
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nntrivi2001 57dc91585d feat: Claude Code Monitor — lanes, pipelines and a merged workspace
Internal SmartGift build of a Claude Code monitoring dashboard.

Lanes: a durable unit of parallel agent work, one per working directory,
tracked across session restarts. Managed lanes are git worktrees the
dashboard provisions and can reset or remove behind a three-check destroy
guard and a counted preflight; adopted lanes are directories you already
own and are never destroyable.

Pipelines: a lane moves through pipeline stages. A stage the agent declares
with evidence renders green; a stage inferred from the tool-event stream
renders dashed amber and never counts as done. Detection is forward-only
within a 30-minute window, and never writes the declared stage.

Workspace: one page at /run with a lane grid, the selected lane's pipeline,
and a full Claude console behind a disclosure.
2026-07-30 14:39:03 +07:00

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---
description: Summarize the workflow intelligence for a session — stats, complexity, and top patterns.
argument-hint: "[session-id]"
---
Summarize the Agent Monitor workflow intelligence for a session from `http://localhost:4820`.
The session id is **$ARGUMENTS**. If empty, fetch `curl -s 'http://localhost:4820/api/sessions?limit=1'` and use the most recent session, stating which id you picked. If the dashboard is unreachable, tell the user to start it with `npm start` from the repo root.
Fetch the workflow intelligence:
```
curl -s http://localhost:4820/api/workflows/$ARGUMENTS
```
This returns 11 datasets: `stats`, `orchestration`, `toolFlow`, `effectiveness`, `patterns`, `modelDelegation`, `errorPropagation`, `concurrency`, `complexity`, `compaction`, `cooccurrence`.
Print, concisely:
1. **Header** — session id, total agents, max depth, and total tool calls (from `stats` / `orchestration`).
2. **Complexity** — the numeric `complexity` score and what drives it (depth, breadth, tool diversity).
3. **Top patterns** — up to 5 recurring sequences from `patterns`, each as `sequence ×frequency`, sorted by frequency descending.
4. **Quick signals** — one line each: concurrency lane count (`concurrency`), subagent success rate (`effectiveness`), and total errors with origin depth (`errorPropagation`).
Keep it terse — this is a one-shot. Cite only numbers returned by the API; for deeper analysis point the user at the `dag-map`, `delegation-audit`, `concurrency-report`, or `error-propagation` skills.