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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/nikhil-vytla-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
- Metadata
- source: https://github.com/mattpocock/skills/blob/main/skills/engineering/retro/SKILL.md · 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 `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 nikhil-vytla/skills, MIT.
More from nikhil-vytla/skills
- 0.562score
code-review
nikhil-vytla
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
tdd
nikhil-vytla
Test-driven development.
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
domain-modeling
nikhil-vytla
Build and sharpen a project's domain model.
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
codebase-design
nikhil-vytla
Shared vocabulary for designing deep modules.
SkillAFreshness: A★ 1Claude Code +9 - 0.559score
triage
nikhil-vytla
Move issues and external PRs through a state machine of triage roles, categorise, verify, grill if needed, and write agent-ready briefs.
SkillAFreshness: A★ 1Claude Code +9 - 0.559score
improve-codebase-architecture
nikhil-vytla
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
SkillAFreshness: A★ 1Claude Code +9 - 0.553score
implement-spec
nikhil-vytla
Implement the result of /to-spec and /to-tickets in code.
SkillAFreshness: A★ 1Claude Code +9 - 0.552score
papercuts
nikhil-vytla
Log small frictions the moment they happen, using the papercut CLI bundled with this skill.
SkillBFreshness: B★ 1Claude Code +9 - 0.547score
clean-copy
nikhil-vytla
Cut interface copy that shouldn't exist — captions that restate a label, hints that pre-empt a worry the user never had, warnings that are scar tissue from a…
SkillBFreshness: B★ 1Claude Code +9 - 0.547score
pr-descriptions
nikhil-vytla
Write high-signal pull request descriptions with mermaid diagrams, real code snippets, and PR-train conventions.
SkillBFreshness: B★ 1Claude Code +9 - 0.522score
prototype
nikhil-vytla
Build a throwaway prototype to answer a design question.
SkillBFreshness: B★ 1Claude Code +9 - 0.519score
wayfinder
nikhil-vytla
Plan a huge chunk of work — more than one agent session can hold — as a shared map of decision tickets on your issue tracker, and resolve them one at a time…
SkillBFreshness: B★ 1Claude Code +9
Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 4, 2026 (26 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/nikhil-vytla/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from nikhil-vytla
- 0.562score
domain-modeling
nikhil-vytla
Build and sharpen a project's domain model.
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
tdd
nikhil-vytla
Test-driven development.
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
codebase-design
nikhil-vytla
Shared vocabulary for designing deep modules.
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
code-review
nikhil-vytla
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 - 0.559score
improve-codebase-architecture
nikhil-vytla
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
SkillAFreshness: A★ 1Claude Code +9 - 0.559score
triage
nikhil-vytla
Move issues and external PRs through a state machine of triage roles, categorise, verify, grill if needed, and write agent-ready briefs.
SkillAFreshness: A★ 1Claude Code +9
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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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- founders on every account
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- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
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/nikhil-vytla-retro (last updated 2026-10-24)