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/transcript-replay

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

From plugin
claude-code-agent-monitor
1k75 skills21 agents33 commands1 MCP
Install
$ npx -y skills add hoangsonww/Claude-Code-Agent-Monitor --skill transcript-replay --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/transcript-replay

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

transcript-replay.SKILL.md
name: transcript-replay
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.

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Ships withclaude-code-agent-monitor

🚀 A real-time monitoring dashboard for Claude Code & Codex, built with SQLite3, Node.js, Express, React, Vite, TailwindCSS, & WebSockets. It tracks sessions, agent activity, tool usage, and subagent orchestration, providing live analytics, a Kanban status board, status notifications, a cute buddy, & an interactive web UI/MacOS/Windows native app.

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