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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{
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"name": "ccam-sessions",
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"description": "Search, inspect, replay, and manage Claude Code sessions tracked by the Agent Monitor dashboard — find sessions by project, model, status, or date; reconstruct event timelines; walk transcripts turn-by-turn; roll up activity per working directory; and identify stale or empty sessions before cleanup.",
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"version": "1.0.0",
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"author": {
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"name": "Nguyễn Ngọc Trí Vĩ",
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"url": "https://git.smartgift.io.vn/Smartgift-AI"
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},
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"homepage": "https://git.smartgift.io.vn/Smartgift-AI/Claude-Code-Monitor",
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"repository": {
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"type": "git",
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"url": "https://git.smartgift.io.vn/Smartgift-AI/Claude-Code-Monitor.git"
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},
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"license": "MIT",
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"keywords": ["sessions", "search", "transcript", "replay", "timeline", "cleanup", "claude-code"],
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"categories": ["sessions", "monitoring", "devtools"]
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}
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---
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name: session-investigator
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description: >
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Investigates a single Claude Code session end-to-end from Agent Monitor data:
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status, model, cost, the recursive agent tree (subagent_type/depth/parent), the
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full event chain (PreToolUse/PostToolUse/Stop/SubagentStop/Compaction/APIError/
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TurnDuration), transcript highlights, and anomalies. Cross-references workflow
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intelligence (orchestration DAG, error propagation by depth) to explain what
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the session actually did and where it went wrong.
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model: sonnet
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tools:
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- Bash
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- Read
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- Grep
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---
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# Session Investigator
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You are a session forensics analyst for the Claude Code Agent Monitor. Given one
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session ID (or "latest"), you reconstruct exactly what happened in that session
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and produce a data-backed investigation report. You query the dashboard API at
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`http://localhost:4820` using `curl -s http://localhost:4820/api/...`. You read
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only — you never mutate data.
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## Available Data Sources
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| Endpoint | Returns |
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|----------|---------|
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| `GET /api/sessions/:id` | full session detail: status, model, cwd, started_at, ended_at, cost, metadata (thinking_blocks, turn_count, total_turn_duration_ms, usage_extras), nested agents + events |
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| `GET /api/sessions/:id/transcript` | ordered transcript messages (user / assistant / tool) for the session |
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| `GET /api/events?session_id=X` | events: event_type, tool_name, summary, data, timestamp |
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| `GET /api/agents` | agent (subagent) records: status, type, depth, parent — filter to this session |
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| `GET /api/pricing/cost/:id` | per-session cost: total_cost, breakdown[{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] |
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| `GET /api/workflows/:id` | 11 datasets: stats, orchestration (DAG), toolFlow, effectiveness, patterns, modelDelegation, errorPropagation (by depth), concurrency, complexity, compaction, cooccurrence |
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## Analysis Framework
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1. **Resolve the target.** If given a session ID, `GET /api/sessions/:id`. If the
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user says "latest"/"last", `GET /api/sessions?limit=1` first to grab the id,
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then fetch the detail. Record status, model, cwd, started_at, ended_at, and the
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metadata block (thinking_blocks, turn_count, total_turn_duration_ms).
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2. **Cost.** `GET /api/pricing/cost/:id`. Report total_cost and the per-model
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breakdown across the four token types. Note the `matched_rule` so the user
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knows which pricing pattern applied.
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3. **Agent tree.** Pull agents for the session (from `/api/sessions/:id` nested
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agents, cross-checked against `/api/agents`). Build the parent→child tree using
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`parent` and `depth`; annotate each node with type/subagent_type and status.
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Flag any agent left in a non-terminal status or with no terminating SubagentStop.
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4. **Event chain.** `GET /api/events?session_id=X`. Order by timestamp. Compute the
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PreToolUse vs PostToolUse balance (should be ~1:1). Mark APIError and any Stop
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that lacks a clean prior PostToolUse. Surface the longest tool durations.
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5. **Workflow intelligence.** `GET /api/workflows/:id`. Use `orchestration` for the
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DAG shape, `errorPropagation` to see at which depth failures originated and
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cascaded, `compaction` for context-pressure impact, and `complexity` for an
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overall difficulty score.
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6. **Transcript highlights.** `GET /api/sessions/:id/transcript`. Skim the turns;
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quote the opening user intent, the key assistant decisions, and any tool failure
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or error message — do not dump the whole transcript.
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7. **Anomalies.** Out-of-order events, >30s timeline gaps, duplicate agent states,
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token spikes preceding Compaction, retries of the same tool, and stale active
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status with an old last event.
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## Output Standards
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- Cite real numbers pulled from the API — never fabricate counts, tokens, or costs.
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- Format currency in USD to 4 decimal places.
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- Use ▲/▼ for deltas (e.g. PreToolUse ▲ 41 vs PostToolUse 38, ▲ 3).
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- Lead with a one-line verdict (CLEAN / DEGRADED / FAILED), then a header block
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(id, status, model, duration, turn_count, cost) and an agent tree, an event
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timeline, and a numbered findings list with a root-cause hypothesis when errors
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are present.
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## Constraints
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- Read-only advisory role — never modify data.
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- Only use data returned by the API — never fabricate metrics.
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- If the dashboard is unreachable, tell the user to start it with `npm start` from
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the repo root.
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---
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description: Search Agent Monitor sessions by cwd, model, or status and print the top matches.
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argument-hint: "[query]"
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---
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Search Claude Code sessions tracked by the Agent Monitor and print the top matches.
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The query is **$ARGUMENTS** — any mix of a project / cwd substring, a model
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(`opus`/`sonnet`/`haiku` or a model-id fragment), and a status
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(`active`/`working`/`completed`/`error`). If empty, just show the most recent sessions.
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Fetch the session list (each carries an inline `cost` field):
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```
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curl -s "http://localhost:4820/api/sessions?limit=200"
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```
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Then:
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1. Filter in-memory: keep sessions whose `cwd` contains the project term (case-insensitive),
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whose `model` contains the model term, and whose `status` equals the status term —
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apply only the terms present in `$ARGUMENTS`.
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2. Sort matches by `cost` descending if the query mentions cost/expensive, otherwise by
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`started_at` descending (most recent first).
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3. Print the top 10 as a numbered list, one line each:
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`<rank>. <id short> — <status> — <model> — <cwd basename> — $<cost to 4dp> — <started_at>`
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4. End with the match count and the summed cost of the shown matches.
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Currency as USD to 4 decimal places. If nothing matches, say so and list the distinct
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cwds/models that DO exist (from the returned data) so the user can refine — do not invent
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results. If the dashboard is unreachable, tell the user to start it with `npm start` from
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the repo root.
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---
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description: List the N most recent Claude Code sessions from the Agent Monitor.
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argument-hint: "[N]"
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---
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List the most recent Claude Code sessions tracked by the Agent Monitor.
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`N` = **$ARGUMENTS** (default `10` if empty).
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Fetch the most recent sessions (the API returns them most-recently-updated first):
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```
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curl -s "http://localhost:4820/api/sessions?limit=$ARGUMENTS"
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```
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This returns a session list; each entry has id, status, model, cwd, started_at,
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ended_at, cost, and metadata (turn_count, total_turn_duration_ms).
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Then print the sessions as a numbered list, one line each, in the order returned:
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`<rank>. <id short> — <status> — <model> — <cwd basename> — <turn_count> turns — $<cost to 4dp> — <started_at>`
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After the list, print the summed cost of the listed sessions and a one-line status
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tally (e.g. `7 completed · 2 active · 1 error`).
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Currency as USD to 4 decimal places. Keep it terse, no preamble. If the dashboard is
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unreachable, tell the user to start it with `npm start` from the repo root.
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---
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description: Summarize one Agent Monitor session by id — header plus a concise transcript recap.
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argument-hint: "[session-id]"
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---
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Produce a concise recap of one Claude Code session tracked by the Agent Monitor.
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The session id is **$ARGUMENTS**. If empty, resolve the latest:
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`curl -s "http://localhost:4820/api/sessions?limit=1"` and use its `id`.
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Fetch the session header and its transcript:
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```
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curl -s "http://localhost:4820/api/sessions/$ARGUMENTS"
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curl -s "http://localhost:4820/api/sessions/$ARGUMENTS/transcript"
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```
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The first returns the session detail (status, model, cwd, started_at, ended_at, cost,
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metadata: turn_count, thinking_blocks, total_turn_duration_ms). The second returns the
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ordered transcript messages (user / assistant / tool).
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Then print, concisely:
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1. **Header** — one block: `id · model · status · cwd basename · turn_count turns · $<cost to 4dp> · <started_at → ended_at>`.
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2. **Recap** — 5–10 bullets walking the conversation in order: the user's goal, the key
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assistant actions and tools used, any tool failures, and how it ended. Summarize each
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message in one line; do not paste large payloads (truncate past ~200 chars with `…`).
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Currency as USD to 4 decimal places. If the transcript is empty, say the session has no
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stored transcript rather than inventing turns. If the dashboard is unreachable, tell the
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user to start it with `npm start` from the repo root.
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---
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description: >
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Roll up Claude Code sessions by working directory (project) from Agent Monitor
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data — session count, total cost, total tokens, and last-active timestamp per cwd
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— so per-project activity can be compared at a glance. Use when summarizing where
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effort and spend went across projects.
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---
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# CWD Rollup
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Aggregate session activity per working directory (project).
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## Input
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The user provides: **$ARGUMENTS**
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- Empty → roll up **all** working directories.
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- A path / project substring → restrict the rollup to matching cwds.
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- `top N` → keep only the N highest-cost (or highest-count) projects.
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## Data Sources
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| Endpoint | Returns |
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|----------|---------|
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| `GET /api/run/cwds` | the distinct working directories that have sessions — the rollup key set |
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| `GET /api/sessions?limit=N` | session list: id, status, model, cwd, started_at, ended_at, cost, metadata (usage_extras with token counts) |
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| `GET /api/pricing/cost` | fleet cost: total_cost, breakdown[{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] — for the fleet total to compute each cwd's share |
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## Report Sections
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### 1. Key set
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`GET /api/run/cwds` for the canonical list of working directories. Apply the
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`$ARGUMENTS` filter (substring match) if one was given.
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### 2. Pull sessions
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`GET /api/sessions?limit=1000`. Bucket sessions by `cwd`.
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### 3. Aggregate per cwd
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For each working directory compute:
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- **sessions** — count.
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- **cost** — sum of the inline `cost` field across the bucket.
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- **tokens** — sum of input / output / cache-read / cache-write from each session's
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metadata `usage_extras` (sum the four into a total, and keep input + output as the
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"billable text" subtotal).
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- **last active** — the max `started_at` (or `ended_at`) in the bucket.
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- **models** — the distinct models seen.
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### 4. Share of fleet
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`GET /api/pricing/cost` for `total_cost`; show each cwd's cost as a percentage of the
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fleet total.
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### 5. Ranking
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Sort by cost descending by default (or count if the user asked); apply `top N`.
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## Output
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Markdown table: `project (cwd basename) | sessions | total tokens | cost | % of fleet | last active | models`.
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Currency as USD to 4 decimal places; token counts with thousands separators; sort
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cost-descending. Add a final TOTAL row summing the columns. Only count tokens that
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the session metadata actually carries — if `usage_extras` is absent for a session,
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note it as excluded rather than guessing. If the dashboard is unreachable, tell the
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user to start it with `npm start` from the repo root.
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---
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description: >
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Identify stale and empty Claude Code sessions in the Agent Monitor and explain the
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cleanup endpoint (POST /api/settings/cleanup), always showing the exact list of
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what WOULD be removed before anything is deleted. Cleanup permanently deletes data,
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so this skill previews first and requires explicit user confirmation. Use when
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tidying the monitoring database.
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---
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# Session Cleanup
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Find prune-worthy sessions and explain cleanup — preview first, delete only on
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explicit confirmation.
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## Input
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The user provides: **$ARGUMENTS**
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- Empty / `preview` → only show what would be removed (the safe default).
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- `confirm` → the user has reviewed the preview and explicitly authorizes deletion.
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- An optional staleness threshold (e.g. `older than 7d`) for what counts as stale.
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## Data Sources
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| Endpoint | Returns |
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|----------|---------|
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| `GET /api/sessions?limit=N` | session list: id, status, model, cwd, started_at, ended_at, cost, metadata (turn_count, total_turn_duration_ms) |
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| `GET /api/stats` | totals: total_sessions, active_sessions, total_events, events_today, sessions_by_status, agents_by_status |
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| `POST /api/settings/cleanup` | runs the cleanup routine and returns what was removed — DESTRUCTIVE, only after confirmation |
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## Report Sections
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### 1. Baseline
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`GET /api/stats` — record total_sessions, sessions_by_status, total_events. This is
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the before-state to compare against.
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### 2. Identify candidates
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`GET /api/sessions?limit=1000`. Flag sessions that are:
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- **Empty** — zero events and `turn_count` 0 / null and `cost` 0 (started but never
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did anything).
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- **Stale active** — `status` active/working but last activity older than the
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threshold (default 24h), i.e. never cleanly stopped.
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- **Truncated** — no `ended_at` and no recent events.
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### 3. Preview table (ALWAYS shown)
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List every candidate with the reason it qualifies. State the total count and confirm
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that **nothing has been deleted yet**.
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### 4. Explain the endpoint
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Describe `POST /api/settings/cleanup`: it prunes empty / orphaned sessions and their
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dangling events server-side and returns a summary of removed rows. Make clear this
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is **permanent** and **not reversible** from the dashboard.
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### 5. Execute only on confirmation
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If — and only if — `$ARGUMENTS` is `confirm` (or the user has explicitly approved
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this run), call `POST /api/settings/cleanup`, then re-read `/api/stats` and report
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the before → after delta. Otherwise stop after the preview and tell the user to
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re-run with `confirm`.
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## Output
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A preview Markdown table: `id (short) | status | reason | cwd basename | started_at | cost`,
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then a one-line count and the explicit "nothing deleted — re-run with `confirm` to
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proceed" notice. On a confirmed run, add a before → after summary using ▲/▼ on the
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counts. Currency as USD to 4 decimal places.
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## Safety
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- This is the ONLY skill in the plugin that mutates data, and only via the one
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documented endpoint.
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- NEVER call `POST /api/settings/cleanup` without an explicit `confirm` from the
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user in this turn — previewing is the default.
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- Never widen scope to `POST /api/settings/clear-data` or any other destructive
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endpoint; cleanup of stale/empty sessions only.
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- If the dashboard is unreachable, tell the user to start it with `npm start` from
|
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the repo root.
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@@ -0,0 +1,64 @@
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---
|
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description: >
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Find Claude Code sessions tracked by the Agent Monitor by project (cwd), model,
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status, or date, then rank the matches by cost or recency. Pulls the session list
|
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and the distinct cwd / facet values so filters use real values rather than guesses.
|
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Use when locating a session — "find my EstateWise sessions", "which Opus runs
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errored this week", "most expensive sessions in /repo".
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---
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# Session Search
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||||
|
||||
Locate Claude Code sessions in the Agent Monitor by project, model, status, or date.
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|
||||
## Input
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||||
|
||||
The user provides: **$ARGUMENTS**
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||||
|
||||
A free-form query naming any combination of:
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- **project / cwd** — a working-directory path or basename (e.g. `EstateWise`, `/Users/.../repo`)
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- **model** — `opus`, `sonnet`, `haiku`, or a full model id substring
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- **status** — `active`, `working`, `completed`, `error`
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- **date** — `today`, `this week`, or an ISO date / range matched against `started_at`
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||||
- **ranking** — `by cost` (default when cost is mentioned) or `recent` (default otherwise)
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||||
|
||||
If the query is empty, return the most recent sessions ranked by recency.
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||||
|
||||
## Data Sources
|
||||
|
||||
| Endpoint | Returns |
|
||||
|----------|---------|
|
||||
| `GET /api/sessions?limit=N` | session list: id, status, model, cwd, started_at, ended_at, cost, metadata (thinking_blocks, turn_count, total_turn_duration_ms, usage_extras) |
|
||||
| `GET /api/run/cwds` | the distinct working directories that have sessions — use to resolve a fuzzy project name to exact cwd values |
|
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| `GET /api/events/facets` | distinct facet values (event types, tool names, models, statuses) for validating filters |
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|
||||
## Report Sections
|
||||
|
||||
### 1. Resolve filters
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||||
Fetch `/api/run/cwds` and `/api/events/facets` to map the user's loose terms to
|
||||
real values: pick the cwd(s) whose path contains the project term, confirm the
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||||
model substring exists, and validate the status against known statuses. State
|
||||
which concrete filters you settled on.
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||||
|
||||
### 2. Pull candidates
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||||
`GET /api/sessions?limit=200` (raise the limit if the date window is wide). Filter
|
||||
in-memory by cwd, model (substring, case-insensitive), status, and `started_at`
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||||
date window.
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||||
|
||||
### 3. Rank
|
||||
Sort by `cost` descending when the user asked "by cost"; otherwise by `started_at`
|
||||
descending (most recent first). Keep the top 20 unless the user asked for more.
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||||
|
||||
### 4. Matches
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||||
One row per session.
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||||
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||||
### 5. Summary
|
||||
Count of matches, summed cost across matches, and the model / status distribution.
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||||
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||||
## Output
|
||||
|
||||
Markdown table: `# | id (short) | status | model | cwd (basename) | started_at | cost`.
|
||||
Currency as USD to 4 decimal places; token / count fields with thousands separators.
|
||||
If a filter resolved to zero rows, say so and show the closest available values
|
||||
(e.g. the cwds that *do* exist) rather than fabricating results. If the dashboard
|
||||
is unreachable, tell the user to start it with `npm start` from the repo root.
|
||||
@@ -0,0 +1,61 @@
|
||||
---
|
||||
description: >
|
||||
Render an ordered timeline of one Claude Code session's events (every event type)
|
||||
with per-event durations and tool names, reconstructed from Agent Monitor data.
|
||||
Pairs PreToolUse with PostToolUse to compute tool durations and surfaces gaps,
|
||||
errors, and compaction points. Use when reconstructing what happened in a session
|
||||
step by step.
|
||||
---
|
||||
|
||||
# Session Timeline
|
||||
|
||||
Reconstruct the chronological event timeline of a single Claude Code session.
|
||||
|
||||
## Input
|
||||
|
||||
The user provides: **$ARGUMENTS**
|
||||
|
||||
- A **session ID** to time-line, or
|
||||
- "latest" / "last" for the most recent session.
|
||||
|
||||
## Data Sources
|
||||
|
||||
| Endpoint | Returns |
|
||||
|----------|---------|
|
||||
| `GET /api/sessions/:id` | session header: status, model, cwd, started_at, ended_at, cost, metadata (thinking_blocks, turn_count, total_turn_duration_ms) — and nested events |
|
||||
| `GET /api/events?session_id=X` | the full event stream: event_type (PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, Notification, Compaction, APIError, TurnDuration), tool_name, summary, data, timestamp |
|
||||
|
||||
## Report Sections
|
||||
|
||||
### 1. Resolve & header
|
||||
If "latest", `GET /api/sessions?limit=1` to get the id, then `GET /api/sessions/:id`.
|
||||
Print a one-line header: id, status, model, cwd basename, started_at → ended_at,
|
||||
turn_count, total_turn_duration_ms, cost.
|
||||
|
||||
### 2. Build the ordered timeline
|
||||
`GET /api/events?session_id=X`. Sort strictly by `timestamp`. For each event emit a
|
||||
row with: relative offset from `started_at` (e.g. `+00:03.412`), event_type,
|
||||
tool_name (when present), and a one-line `summary`.
|
||||
|
||||
### 3. Compute durations
|
||||
Pair each `PreToolUse` with its matching `PostToolUse` (same tool_name, next
|
||||
occurrence) and show the tool's wall-clock duration. For `TurnDuration` events use
|
||||
the recorded duration directly. Flag any `PreToolUse` with no matching `PostToolUse`
|
||||
as **unclosed**.
|
||||
|
||||
### 4. Annotate notable points
|
||||
Mark `APIError` (❌), `Compaction` (⚠️ context compressed), `SubagentStop`
|
||||
(subagent finished), `Notification` (ℹ️), and any timeline gap > 30s between
|
||||
consecutive events as an idle window.
|
||||
|
||||
### 5. Tallies
|
||||
Event count by type, total tool time vs. session wall time, and the longest single
|
||||
tool call.
|
||||
|
||||
## Output
|
||||
|
||||
A Markdown table — `offset | event_type | tool_name | duration | summary` — in
|
||||
strict timestamp order, preceded by the header line and followed by the tallies.
|
||||
Durations in ms or `mm:ss.mmm`; currency as USD to 4 decimal places. Never invent a
|
||||
duration when a PostToolUse is missing — label it `unclosed`. If the dashboard is
|
||||
unreachable, tell the user to start it with `npm start` from the repo root.
|
||||
@@ -0,0 +1,58 @@
|
||||
---
|
||||
description: >
|
||||
Walk a Claude Code session transcript turn-by-turn from Agent Monitor data,
|
||||
summarizing each user, assistant, and tool message in order so a long conversation
|
||||
can be reviewed quickly. Anchors the recap to the session header (model, cost,
|
||||
turn_count). Use when reviewing what was actually said and done in a conversation.
|
||||
---
|
||||
|
||||
# Transcript Replay
|
||||
|
||||
Replay a session transcript one turn at a time with a concise summary of each message.
|
||||
|
||||
## Input
|
||||
|
||||
The user provides: **$ARGUMENTS**
|
||||
|
||||
- A **session ID** to replay, or
|
||||
- "latest" / "last" for the most recent session.
|
||||
- Optionally a turn range (e.g. `1-10`) or `errors` to focus on tool failures.
|
||||
|
||||
## Data Sources
|
||||
|
||||
| Endpoint | Returns |
|
||||
|----------|---------|
|
||||
| `GET /api/sessions/:id/transcript` | ordered transcript messages: role (user / assistant / tool), content, tool_name and tool result where applicable, timestamps |
|
||||
| `GET /api/sessions/:id` | session header: status, model, cwd, started_at, ended_at, cost, metadata (thinking_blocks, turn_count, total_turn_duration_ms) |
|
||||
|
||||
## Report Sections
|
||||
|
||||
### 1. Header
|
||||
`GET /api/sessions/:id`. Print id, model, cwd basename, status, turn_count,
|
||||
thinking_blocks, total_turn_duration_ms, and cost in one block.
|
||||
|
||||
### 2. Turn-by-turn walk
|
||||
`GET /api/sessions/:id/transcript`. Iterate messages in order. For each turn emit
|
||||
one compact entry:
|
||||
- **user** — the request in one sentence (quote the literal ask only if short).
|
||||
- **assistant** — the decision / action taken, plus which tools it invoked.
|
||||
- **tool** — the tool name and a one-line result (success value or the error text);
|
||||
do not paste large tool payloads.
|
||||
|
||||
Group an assistant message with the tool calls it triggered so each "turn" reads as
|
||||
intent → action → result.
|
||||
|
||||
### 3. Thread highlights
|
||||
After the walk, pull out: the original goal, the key turning points, any tool
|
||||
failures or retries, and how the session ended (resolved / errored / abandoned).
|
||||
|
||||
## Output
|
||||
|
||||
A numbered turn list (`Turn N — <role>: <one-line summary>`), grouped intent →
|
||||
action → result, preceded by the header block and followed by the highlights.
|
||||
Truncate any quoted content past ~200 chars with `…`. Currency as USD to 4 decimal
|
||||
places. Summarize faithfully — never invent message content that is not in the
|
||||
transcript. If the transcript endpoint returns empty, say the session has no stored
|
||||
transcript (it may predate transcript capture or need a reimport) rather than
|
||||
fabricating turns. If the dashboard is unreachable, tell the user to start it with
|
||||
`npm start` from the repo root.
|
||||
Reference in New Issue
Block a user