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.
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description: One-screen focus snapshot — avg turn duration, thinking-block usage, and longest sessions.
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argument-hint: "[limit]"
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---
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Print a one-screen focus snapshot from Agent Monitor data at `http://localhost:4820`. If the dashboard is unreachable, tell the user to start it with `npm start` from the repo root.
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Optional **$ARGUMENTS**: a session count to inspect (default 100).
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1. Fetch sessions: `curl -s 'http://localhost:4820/api/sessions?limit=100'` (use the $ARGUMENTS limit if given). Parse each `metadata` JSON for `turn_count`, `total_turn_duration_ms`, and `thinking_blocks`.
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2. Fetch baselines: `curl -s http://localhost:4820/api/analytics` for `avg_events_per_session` and `sessions_by_status`.
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Compute and print (over sessions that have the focus metadata):
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- **Avg turn duration** = `total_turn_duration_ms / turn_count`, reported in seconds (averaged across sessions).
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- **Thinking-block usage** = average `thinking_blocks` per session and per turn (`thinking_blocks / turn_count`).
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- **Longest sessions**: top 3–5 by `total_turn_duration_ms`, each with project (`cwd`), duration in minutes, turn count, and thinking blocks.
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Show the three metrics as a compact table plus the longest-sessions list. State how many sessions had usable metadata. Durations from ms; cite only numbers returned by the API. Keep it to one screen.
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