Skills

Transcript Replay

Walk a Claude Code session transcript turn-by-turn from Agent Monitor data, summarizing...

Install

npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill transcript-replay -g -a claude-code -y
Category
AI and agents
Updated
5d ago
License
MIT
Context cost
Lightabout 546 tokens
Runs scripts
No, instructions only

What it does

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

EndpointReturns
GET /api/sessions/:id/transcriptordered transcript messages: role (user / assistant / tool), content, tool_name and tool result where applicable, timestamps
GET /api/sessions/:idsession 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

Read the whole SKILL.md on GitHub

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