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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/dwin-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
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What's inside
- Skill name
retro- Description
- Conduct a retrospective on a coding session.
- License
- MIT
- Instructions
- 32 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
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. Use `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 ### 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`: the standards `code-review` enforces. Check how the repo's implementation and review steps actually load it before recommending where a rule belongs. 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 dwin/skills, MIT.
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- 0.570score
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Manage the lifecycle of isolated task checkouts and their build storage.
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autopilot
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Drive a branch to a ready pull request.
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file-pr
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Create, open, file, or submit a pull request with an outcome-focused title and description.
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engineering-principles
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Apply simple, type-safe engineering practices while implementing, refactoring, testing, or reviewing TypeScript, Go, or C#.
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grilling
dwin
Interview the user rigorously about a plan, design, decision, or idea until consequential assumptions and branches are resolved.
SkillAFreshness: AClaude Code +9 - 0.565score
babysit-pr
dwin
Monitor or babysit an open pull request through CI, mergeability changes, and review feedback.
SkillAFreshness: AClaude Code +9 - 0.563score
sprites
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Run builds, tests, data jobs, development services, or agent tasks on Fly.io Sprites when local CPU, memory, disk, or Linux compatibility is a constraint.
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diagnosing-bugs
dwin
Diagnosis loop for hard bugs and performance regressions.
SkillAFreshness: AClaude Code +9 - 0.539score
code-review
dwin
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: AClaude Code +9 - 0.533score
implement
dwin
Implement a piece of work based on a spec or set of tickets.
SkillAFreshness: AClaude Code +9 - 0.533score
handoff
dwin
Compact the current conversation into a handoff document for another agent to pick up.
SkillAFreshness: AClaude Code +9 - 0.524score
focus-output
dwin
Keep responses action-first, low-distraction, and easy to resume for the rest of the session.
SkillBFreshness: BClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 20, 2026 (10 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/dwin/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from dwin
- 0.570score
file-pr
dwin
Create, open, file, or submit a pull request with an outcome-focused title and description.
SkillAFreshness: AClaude Code +9 - 0.570score
managing-workspaces
dwin
Manage the lifecycle of isolated task checkouts and their build storage.
SkillAFreshness: AClaude Code +9 - 0.570score
autopilot
dwin
Drive a branch to a ready pull request.
SkillAFreshness: AClaude Code +9 - 0.567score
engineering-principles
dwin
Apply simple, type-safe engineering practices while implementing, refactoring, testing, or reviewing TypeScript, Go, or C#.
SkillAFreshness: AClaude Code +9 - 0.565score
babysit-pr
dwin
Monitor or babysit an open pull request through CI, mergeability changes, and review feedback.
SkillAFreshness: AClaude Code +9 - 0.565score
grilling
dwin
Interview the user rigorously about a plan, design, decision, or idea until consequential assumptions and branches are resolved.
SkillAFreshness: AClaude Code +9
Done for you
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
retro skill. Agent Mart. https://agentmart.dev/skills/dwin-retro (last updated 2026-10-24)