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Clarify intent, requirements, and design before building a feature or planning anything new
301k GitHub starsupdated Oct 10, 2026
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Skill cho code, review, test, debug.
Clarify intent, requirements, and design before building a feature or planning anything new
Decide how to integrate a finished branch once tests pass: merge, open a PR, or clean up
Verify code review feedback rigorously before acting on it instead of agreeing blindly
Request code review after finishing tasks or before merging to confirm work meets requirements
Execute implementation plans by dispatching independent tasks to subagents
Debug systematically and find the root cause before proposing fixes for bugs or failing tests
Set up an isolated workspace with git worktree before starting feature work or executing an implementation plan
Run verification commands and confirm the output before claiming work is done, committing or opening a pull request
Write a multi-step implementation plan from a spec or requirements before touching any code
Diagnose hard bugs and performance regressions with a structured investigation loop
Scan a codebase for architecture improvements, show them in an HTML report, then dig into your pick
Set up Husky pre-commit hooks with lint-staged, Prettier, type checking, and tests
Turn the current conversation into a spec and publish it to the project's issue tracker
Split a plan, spec or conversation into tracer-bullet tickets with blocking links and publish them to your tracker
Follow TDD: write a failing test, make the smallest fix to pass, refactor, and reach 80%+ coverage
Build high-quality MCP servers in Python FastMCP or TypeScript to connect LLMs to external services
Test local web apps with Playwright: verify the frontend, debug UI behavior, capture screenshots and read browser logs
Code like a lazy senior dev: the smallest change that fully works and a reply readable in one pass
Answer in terse caveman style, cutting fluff while keeping every technical fact
Design stable REST or GraphQL APIs and module boundaries with clear type contracts
Test in real browsers via Chrome DevTools MCP to inspect DOM, console errors, network, and performance
Set up CI/CD pipelines with quality gates, CI test runners, and deployment strategies
Review code across multiple quality dimensions before merging, whether written by humans or agents
Refactor code for clarity and maintainability without changing its behavior
Find root causes systematically when tests fail, builds break, or unexpected errors appear
Record architecture decisions as ADRs and document context for future engineers and agents
Structure your git workflow with clean atomic commits, branching, conflict resolution, and pull requests
Add logging, metrics, tracing, and alerts so production behavior is visible and diagnosable
Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.
Break a spec into ordered, implementable tasks, estimate scope, and spot parallel work
Harden code against vulnerabilities in input handling, auth, and data storage per the OWASP Top Ten
Prepare production launches with a checklist, monitoring, staged rollout, and a rollback plan
Write a spec with objectives and scope before coding a new project or feature
Create validated architecture, workflow, sequence, data-flow, lifecycle/state, entity-relationship, class/interface, tree, timeline, and execution waterfall diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional motion, and image/SVG/WebM export. Accept plain-language requirements or Mermaid; inspect repository evidence for code-backed diagrams. Use when visualizing infrastructure, cloud/security networks, API calls, data pipelines, ETL/ELT, state machines, database schemas, class contracts, module hierarchies, incident/release histories, or request and agent-run timings. Also use for everyday subjects with steps, parts, relationships, or states: leave and travel plans, applications and approvals, renting conversations, money or document flows, and order progress. Not for numeric charts or dashboards.
Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web. Includes a doctor health check to diagnose broken or missing sources.
Shape answers for ADHD readers: next action first, numbered steps, no tangents, clear time estimates
Run zero-downtime database migrations with data transformations and rollback procedures
Master end-to-end testing with Playwright and Cypress to build reliable test suites that catch bugs, improve confidence, and enable fast deployment. Use when implementing E2E tests, debugging flaky tests, or establishing testing standards.
Create production-ready GitHub Actions workflows to test, build, and deploy applications
Generate production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets
Design and review PostgreSQL schemas with the right data types, indexes, constraints, and features
Write blameless postmortems with root cause analysis, timelines, and action items
Implement Python testing strategies with pytest, fixtures, mocking, and TDD
Speed up SQL queries with indexing strategies, EXPLAIN analysis, and better schema design
Harden GitHub Actions workflows against script injection, privileged triggers, and unpinned actions
Create optimized multi-stage Dockerfiles for any language or framework
Generate PRDs for software and AI features with user stories, technical specs, and risk analysis
Refactor surgically by extracting functions, renaming, splitting god functions, and tightening types