review-session

Installation
SKILL.md

Review Session

Review a single Claude Code session transcript for quality and produce actionable findings.

Prerequisites

  • The ed3d-extending-claude plugin must be installed.
  • The ed3d-session-reflection plugin must be installed (provides the conversation-reviewer agent and reduce-transcript.py script).
  • The current session's transcript path must be available (injected by the SessionStart hook). If it is not available, ask the user for the transcript path.

Invocation

The user may invoke this as:

  • /review-session — review the current session
  • /review-session /path/to/transcript.jsonl — review a specific transcript

If no argument is provided, use the current session's transcript path (from the SessionStart hook context injection).

Steps

1. Determine the transcript path

If an argument was provided, use it as the transcript path. Otherwise, use the current session's transcript path from the SessionStart hook injection.

If you cannot determine the transcript path, tell the user:

I don't know the current session's transcript path.
Either provide a path: /review-session /path/to/session.jsonl
Or ensure the ed3d-session-reflection SessionStart hook is active.

2. Reduce the transcript

Run the reduction script to produce a token-efficient version:

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/reduce-transcript.py" "<transcript_path>" "/tmp/session-review/reduced.txt"

Tell the user you're reducing the transcript for analysis.

3. Dispatch the reviewer

Create a temporary output path for findings:

/tmp/session-review/findings.md

Dispatch the conversation-reviewer agent with:

Transcript path: /tmp/session-review/reduced.txt Write your findings to: /tmp/session-review/findings.md

Read the transcript, analyze it, and write your findings following your output format.

4. Present findings

Once the reviewer completes, read /tmp/session-review/findings.md and present the findings to the user.

Present the full findings — do not summarize or truncate. The reviewer has already calibrated the length to be proportional to what's interesting.

Related skills
Installs
1
GitHub Stars
203
First Seen
Apr 5, 2026