session-timeline
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
Install
npx skills add https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-sessions/skills/session-timeline
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install hoangsonww-claude-code-agent-monitor@llmmart
git clone https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole hoangsonww/claude-code-agent-monitor collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
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.
Files (claude-code-agent-monitor)
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agents
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openai.yaml 269 B
interface: display_name: "Session Timeline" short_description: "Render an ordered timeline of one Claude Code session's..." default_prompt: "Use $session-timeline to inspect CCAM data and complete this workflow safely." policy: allow_implicit_invocation: false
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SKILL.md 2.6 KB
--- name: session-timeline description: > Render an ordered timeline of one Claude Code session's events (every event type) with per-event durations and tool names, reconstructed from Agent Monitor data. Pairs PreToolUse with PostToolUse to compute tool durations and surfaces gaps, errors, and compaction points. Use when reconstructing what happened in a session step by step. --- # Session Timeline Reconstruct the chronological event timeline of a single Claude Code session. ## Input The user provides: **$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.
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