Install
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/little3tar-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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What's inside
- Skill name
retro- Description
- Conduct a retrospective on a coding session.
- License
- MIT
- Instructions
- 40 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
The user has asked for a **retrospective**. You are suggesting improvements to the coding agent's **environment** to improve future runs. ## Steps 1. Call the `skill` tool with name `writing-for-agents` 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.
From little3tar/dsh-mattpocock-skills, MIT.
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Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
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Shared vocabulary for designing deep modules.
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domain-modeling
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Build and sharpen a project's domain model.
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grilling
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Grill the user relentlessly about a plan, decision, or idea.
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tdd
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Test-driven development.
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improve-codebase-architecture
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Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
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research
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Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo.
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teach
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Teach the user a new skill or concept, within this workspace.
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ask-matt
little3tar
Ask which skill or flow fits your situation.
SkillAFreshness: A★ 1Claude Code +9 - 0.553score
implement-spec
little3tar
Implement the result of /to-spec and /to-tickets in code.
SkillAFreshness: A★ 1Claude Code +9 - 0.551score
handoff
little3tar
Compact the current conversation into a handoff document for another agent to pick up.
SkillAFreshness: A★ 1Claude Code +9
Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 30, 2026 (29 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from little3tar
- 0.562score
grilling
little3tar
Grill the user relentlessly about a plan, decision, or idea.
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
tdd
little3tar
Test-driven development.
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
domain-modeling
little3tar
Build and sharpen a project's domain model.
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
code-review
little3tar
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
codebase-design
little3tar
Shared vocabulary for designing deep modules.
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
prototype
little3tar
Build a throwaway prototype to answer a design question.
SkillAFreshness: A★ 1Claude Code +9
Cite this page
retro skill. Agent Mart. https://agentmart.dev/skills/little3tar-retro (last updated 2026-10-24)