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Review Session

Organization
ed3dai
review-session

Use when the user wants to review a Claude Code session for quality — analyzes the current session (or a specified transcript path) for prompting effectiveness, agent performance, and environment gaps, producing actionable recommendations

Overview

Publishered3dai
Repositoryed3d-plugins
Skill namereview-session
Stars
249
Forks
33
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ed3dai on GitHub. Read the source before you install it.

Installation

Install the Review Session AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ed3dai/ed3d-plugins.git /tmp/ed3d-plugins
mkdir -p .claude/skills
cp -r /tmp/ed3d-plugins/plugins/ed3d-session-reflection/skills/review-session .claude/skills/review-session
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Review Session in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Review Session on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Review Session is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Review Session

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

Do not use nested subagents. This workflow may dispatch the conversation-reviewer agent, but that agent must analyze the transcript directly and must not dispatch additional subagents.

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:

bash
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. Do not dispatch or invoke any subagents.

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.

Frequently asked questions

What does the Review Session AI skill do?

Use when the user wants to review a Claude Code session for quality — analyzes the current session (or a specified transcript path) for prompting effectiveness, agent performance, and environment gaps, producing actionable recommendations

Why use Review Session on TypingMind?

Because you install it once and use it with any model. Review Session is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Review Session in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ed3dai/ed3d-plugins/tree/main/plugins/ed3d-session-reflection/skills/review-session. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Review Session?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Review Session?

As many as you like. As long as a model supports skills, you can use Review Session with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Review Session AI skill free?

It is published on GitHub by ed3dai. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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