nntrivi2001
57dc91585d
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.
78 lines
3.3 KiB
Markdown
78 lines
3.3 KiB
Markdown
---
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description: >
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Compile a month-over-month retrospective from Agent Monitor data — sessions,
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cost, token volumes, completion rate, top projects by working directory, and
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notable shifts versus the prior month. Uses daily_sessions/daily_events (365d)
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from analytics, the session list, and the pricing cost breakdown. Use when
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doing a monthly retrospective or planning the month ahead.
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---
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# Monthly Review
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Generate a month-over-month productivity retrospective from Agent Monitor data.
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## Input
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The user provides: **$ARGUMENTS**
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This may be:
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- "this month" or empty (default: the current calendar month to date)
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- "last month" for the previous full calendar month
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- A specific month: "2026-02" or "February 2026"
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The comparison period is always the immediately preceding calendar month.
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## Data Sources
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| Endpoint | Returns |
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|----------|---------|
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| `GET /api/analytics` | `daily_sessions` and `daily_events` (365d) for monthly bucketing and trends; `tokens` (total_input/output/cache_read/cache_write — baselines pre-summed); `tool_usage` (top 20); `sessions_by_status` |
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| `GET /api/sessions?limit=500` | Sessions with `started_at`, `ended_at`, `status`, `model`, `cwd`, `cost`, and `metadata` (turn_count, thinking_blocks) — for per-project (cwd) grouping and completion rate |
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| `GET /api/pricing/cost` | `total_cost` and per-model `breakdown` (input/output/cache tokens, cost, matched_rule) |
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## Report Sections
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### 1. Month at a Glance
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Compare the target month to the prior month in a table:
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| Metric | This Month | Last Month | Change |
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|--------|-----------|------------|--------|
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| Sessions | N | N | ▲/▼ N% |
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| Total Cost | $X.XXXX | $X.XXXX | ▲/▼ N% |
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| Tokens (in/out/cache) | N | N | ▲/▼ N% |
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| Completion Rate | N% | N% | ▲/▼ N pts |
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| Active Days | N | N | ▲/▼ |
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Derive monthly buckets from `daily_sessions` / `daily_events`. Completion rate =
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`completed sessions / total sessions` for the month (from `sessions_by_status` and
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the filtered session list).
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### 2. Top Projects (by cwd)
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Group the month's sessions by `cwd`. For the top 5–8 projects, list session count,
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total cost, completion rate, and dominant model. Note any project that newly
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appeared or dropped off versus last month.
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### 3. Cost & Token Breakdown
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From `/api/pricing/cost`, show cost per model and the dominant token type. Compute
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cache hit rate = `total_cache_read / (total_cache_read + total_input)` and compare
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to last month. Currency to 4 decimals.
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### 4. Tool & Workflow Shifts
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From `tool_usage`, highlight the tools that rose or fell most month-over-month, and
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any new tool adopted. Flag rising error/Compaction activity if present.
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### 5. Notable Shifts & Narrative
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Three to five plain-language observations: what changed, why it likely changed, and
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what it implies (e.g., "cost up 22% but sessions flat → heavier per-session work").
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### 6. Focus for Next Month
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Two to four prioritized, actionable goals grounded in the numbers above.
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## Output
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- Markdown report with emoji-light, scannable section headers.
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- Tables for all month-over-month comparisons; ▲ / ▼ for deltas.
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- Currency in USD to 4 decimals; tokens with thousands separators.
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- Lead with a 2–3 sentence executive summary, then the sections in order.
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- Cite only numbers returned by the API; if a month has no data, say so explicitly.
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