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retro

Conduct a retrospective on a coding session.

Skill by Matt Pocock

IndexedMIT
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/imaginaerumai-retro

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Conduct a retrospective on a coding session. Use after a substantial session to turn the agent's mistakes into checks, navigation pointers, and leaner steering files.

Use cases: agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/retro

What's inside

Skill name
retro
Description
Conduct a retrospective on a coding session. Use after a substantial session to turn the agent's mistakes into checks, navigation pointers, and leaner steering files.
License
MIT
Metadata
author: Matt Pocock · upstream: https://github.com/mattpocock/skills/tree/49dd158d1076134a641b33efb035946536778336/skills/engineering/retro · adapted-by: Marcin Jeziorek · upstream-license: licenses/mattpocock-skills.MIT.txt
Instructions
52 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • files: referenced but missing: scripts/validate.mjs

Files (3)

  • SKILL.md
  • UPSTREAM.md
  • openai.yaml · agents/

SKILL.md (first lines)

# Retro

> **Origin.** Written by Matt Pocock in [mattpocock/skills](https://github.com/mattpocock/skills) (MIT), pinned at `49dd158`.
> The upstream text below is verbatim except the edits listed in [UPSTREAM.md](UPSTREAM.md). Our additions live under **Field notes** at the end.

The user has asked for a **retrospective**. You are suggesting improvements to the coding agent's **environment** to improve future runs.

## Steps

1. Load the `writing-for-agents` skill for the writing style guide.

2. Read the primary sources for the session the user specifies. This may mean searching through session logs on this machine. If the user doesn't specify a session, default to the current one.

3. Look for candidates for improvement in these categories.

- **Navigation**: how easy was it for the agent to find the right files? Are there hidden dependencies between files? Would a **navigation pointer** make it easier? _Use when_ the session took a long time to find a piece of information.
- **Automated checks**: are there automated checks that could catch errors the agent made? Linting, typing, tests, filesystem linters? Read the repo's own check command first (its `package.json`/build-tool `lint`/`check` scripts, its CI workflow), so a check that already exists but sits unwired or silently broken is the finding, not a reinvention. A repo with no **guardrail** (no pre-commit hook and no CI job running its lint/typecheck/test command) is itself a finding: an un-linted repo is a standing missed opportunity, not a neutral default. _Use when_ the agent made a mistake an automated check could have caught, or the repo has no guardrail at all.
- **Coding standards**: should the **reviewer agent** be given a new rule to enforce? Should an existing rule be removed or clarified? Classify the violation first: a **mechanical** one (a fixed syntactic pattern, a banned API, an import shape, a file-location rule) gets a deterministic check, full stop: a custom rule in the repo's own linter, a new pre-commit hook, or a new CI job, whichever the repo's language and existing guardrail make cheapest. Default to building the check over writing the rule. Reserve `CODING_STANDARDS.md` for genuine **judgement calls** (cross-file consistency, "matches the surrounding style," anything no guardrail could ever substitute for). _Use when_ the reviewer agent failed to catch a mistake.
- **Global AGENTS.md**: are there any steering instructions that should be moved to coding standards (or automated checks) instead? _Use when_ the AGENTS.md file is particularly large - in the repo OR the user's global scope.
- **Tool economy**: did the agent make expensive tool calls that could be streamlined? Is there any custom tooling (CLI's, MCP's) that is particularly token-inefficient? _Use when_ the agent made an expensive tool call.
- **No-ops**: look for instructions in steering files that don't modify the agent's behavior. _Use when_ the steering files are large and unwieldy.
- **Information access**: look for opportunities to increase the agent's access to information. Teeing dev server logs, readonly access to third-party services. _Use when_ a crucial piece of information was not available to the agent.

4. Present these candidates to the user, in order of severity.

## Reference

### Implementation vs Review

Remember that all work goes through two stages: implementation and review. The implementation agent has the most **context pressure**. They are responsible for exploration, writing code, and debugging failures.

The review agent has the least context pressure - it receives a diff, so no exploration needed. It often does not need to write code or debug.

This means that the review agent should be responsible for imposing coding standards, not the implementation agent.

### Files

You have access to several files in the repo:

- `CLAUDE.md`/`AGENTS.md`: these files are pushed to the context window of any agent working in this repo. They should be used incredibly sparingly, usually only for **navigation pointers** to other files.
- `CODING_STANDARDS.md`: this file is read during review, not implementation. Add **navigation pointers** to docs folders if the standards file gets more than 1,000 lines long.
- Docs: use docs as references files, pointed to by other files. Look for existing docs before writing new ones.
- Skills: use skills for docs (since their description goes into the agent's context window), or for user-invoked commands. Follow the advice in the `writing-for-agents` skill.

## Field notes

How this repo uses it: after any substantial session here, run `retro`, then route each finding into a check in `scripts/validate.mjs` before writing any prose. Every check in that validator names the mistake it encodes. See [docs/maintenance.md](https://github.com/imaginaerumai/field-tested-skills/blob/main/docs/maintenance.md).

1. Where session logs live. Step 2 says "search through session logs on this machine". Known locations: OpenCode keeps a SQLite store at `~/.local/share/opencode/opencode.db` (tables `session`, `message`, `part`; verified). Other agents keep their own; ask the agent for its path rather than guessing.
2. Mine across sessions, not just one. One session shows an accident. The same failure in ten sessions shows a missing guardrail. A cross-session query (count tool errors, count user corrections like "no" or "again" after a skill fires) found every field note in this repo.

From imaginaerumai/field-tested-skills, MIT.

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Last commit (this folder)
Oct 20, 2026 (8 days ago)
Last release
Oct 20, 2026 (8 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from Matt Pocock

Cite this page

retro skill. Agent Mart. https://agentmart.dev/skills/imaginaerumai-retro (last updated 2026-10-24)