Files
AgentHub/plugins/ccam-productivity/commands/focus-report.md
T
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

20 lines
1.3 KiB
Markdown
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
---
description: One-screen focus snapshot — avg turn duration, thinking-block usage, and longest sessions.
argument-hint: "[limit]"
---
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.
Optional **$ARGUMENTS**: a session count to inspect (default 100).
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`.
2. Fetch baselines: `curl -s http://localhost:4820/api/analytics` for `avg_events_per_session` and `sessions_by_status`.
Compute and print (over sessions that have the focus metadata):
- **Avg turn duration** = `total_turn_duration_ms / turn_count`, reported in seconds (averaged across sessions).
- **Thinking-block usage** = average `thinking_blocks` per session and per turn (`thinking_blocks / turn_count`).
- **Longest sessions**: top 3–5 by `total_turn_duration_ms`, each with project (`cwd`), duration in minutes, turn count, and thinking blocks.
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.