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