retro
Skill3 starsChanged 43 days agoMITView on GitHub
Conduct a retrospective on a coding session.
We split this skill into the rules it gives an agent
5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 166 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 11
When proposing changes to agent instructions, read write-skills for the installed authoring guidance.
- Distinctive: line 13
Read the primary sources for the session the user specifies.
- Distinctive: line 15
Look for candidates for improvement in these categories.
- Distinctive: line 22
No-ops: look for instructions in steering files that don't modify the agent's behavior.
- Distinctive: line 23
Information access: look for opportunities to increase the agent's access to information.
“Common” is measured: kept by at least 6 in 10 of the 166 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
The user has asked for a retrospective. You are suggesting improvements to the coding agent's environment to improve future runs.
Steps
- When proposing changes to agent instructions, read write-skills for the installed authoring guidance.
- 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.
- 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-toollint/checkscripts, 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.mdfor 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.
- 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. Use the installed write-skills authoring guidance.
Other versions194 projects use a version of this.
Word for word · 0
None found.
Edited · 45
- mattpocock/skills★ 303k96% same
- ArcReel/ArcReel★ 5.5k96% same
- withcoral/coral★ 4.9k96% same
- dzhng/skills★ 1.4k97% same
- aws/graph-explorer★ 48996% same
- itsmylife44/cliproxyapi-dashboard★ 28196% same
- tt-a1i/matt-skills-with-to-goal★ 18596% same
- willdady/platypus★ 11796% same
- dzhng/yap★ 8497% same
- romiluz13/mifal★ 4496% same
35 more not listed
Wrote their own version · 149
- garrytan/gstack★ 138ksame name
- vinvcn/mattpocock-skills-zh-CN★ 5.3ksame name
- bergside/awesome-design-skills★ 2.9ksame name
- MiniMax-AI/minimax-code★ 2ksame name
- DenchHQ/DenchClaw★ 1.7ksame name
- DenchHQ/ironclaw★ 1.7ksame name
- huytieu/COG-second-brain★ 1.3ksame name
- kdlbs/kandev★ 1ksame name
- devcxl/mattpocock-skills-zh★ 508same name
- apmantza/pi-lens★ 476same name
139 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use ios-clean, ios-fix and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
Saqlain-811Skillios-clean
Remove the DebugBridge SPM package and all #if DEBUG wiring from an iOS app. (gstack)
Also in 5 projects that use this
Saqlain-811Skillios-fix
Autonomous iOS bug fixer. (gstack)
Also in 5 projects that use this
ShreyRaviSkillplan-tune
Self-tuning question sensitivity + developer psychographic for gstack (v1: observational). Review which AskUserQuestion prompts fire across gstack skills, set per-question preferences (never-ask / always-ask / ask-only-for-one-way), inspect the dual-track profile (what you declared vs what your behavior suggests), and enable/disable question tuning. Conversational interface — no CLI syntax required.
Also in 8 projects that use this
seek888Skillpair-agent
Pair a remote AI agent with your browser. One command generates a setup key and prints instructions the other agent can follow to connect. Works with OpenClaw, Hermes, Codex, Cursor, or any agent that can make HTTP requests. The remote agent gets its own tab with scoped access (read+write by default, admin on request). Use when asked to "pair agent", "connect agent", "share browser", "remote browser", "let another agent use my browser", or "give browser access". (gstack) Voice triggers (speech-to-text aliases): "pair agent", "connect agent", "share my browser", "remote browser access".
Also in 10 projects that use this
ShreyRaviSkilllanding-report
Read-only queue dashboard for workspace-aware ship. Shows which VERSION slots are currently claimed by open PRs, which sibling Conductor workspaces have WIP work likely to ship soon, and what slot /ship would pick next. No mutations — just a snapshot. Use when asked to "landing report", "what's in the queue", "show me open PRs", or "which version do I claim next". (gstack)
Also in 7 projects that use this
seek888Skillopen-gstack-browser
Launch GStack Browser — AI-controlled Chromium with the sidebar extension baked in. Opens a visible browser window where you can watch every action in real time. The sidebar shows a live activity feed and chat. Anti-bot stealth built in. Use when asked to "open gstack browser", "launch browser", "connect chrome", "open chrome", "real browser", "launch chrome", "side panel", or "control my browser". Voice triggers (speech-to-text aliases): "show me the browser".
Also in 8 projects that use this
- +2 more from Saqlain-811
- +3 more from ShreyRavi
In this repository52 other files it gives its agents.
- AGENTS.mdAGENTS.md
- skills/vercel-optimize/AGENTS.mdAGENTS.md
- skills/vercel-react-best-practices/AGENTS.mdAGENTS.md
- animation-vocabularySkill
- auto-researchSkill
- better-accessibilitySkill
- better-colorsSkill
- better-layoutSkill
- better-typographySkill
- better-uiSkill
- better-writingSkill
- birdclawSkill
- branding-exerciseSkill
- claudeSkill
- codebase-designSkill
- codexSkill
- compare-screenshotsSkill
- create-verification-skillSkill
- diagnosing-bugsSkill
- domain-modelingSkill
- eli5Skill
- eval-skillsSkill
- find-skillsSkill
- good-cssSkill
- grillingSkill
- grill-meSkill
- grill-with-docsSkill
- impeccableSkill
- implementSkill
- improve-animationsSkill
- improve-codebase-architectureSkill
- improve-uiSkill
- init-git-repoSkill
- maintain-verification-skillSkill
- midjourney-imagesSkill
- personal-notion-projectsSkill
- phaseSkill
- prototypeSkill
- researchSkill
- review-animationsSkill
- shadcnSkill
- show-meSkill
- storytellingSkill
- testing-strategySkill
- unslopSkill
- variantSkill
- vercel-optimizeSkill
- vercel-react-best-practicesSkill
- web-perfSkill
- write-skillsSkill
- x-dataSkill
- xurlSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

