Claude Skills by smykla-skalski

Generate a lean, high-signal CLAUDE.md for a repository from codebase analysis. Grounded in Anthropic best practices and empirical studies; built to pass review-claude-md (a bundled validator enforces the same critical checks). Use when the user asks to "generate CLAUDE.md", "create a CLAUDE.md", "write a CLAUDE.md", "init CLAUDE.md", "scaffold CLAUDE.md", or "bootstrap CLAUDE.md" for a project.

Use when the user wants a refactoring review of code, an app, a module, or a diff. Scans the target for code smells and git hotspots, reviews it through seven opposed refactoring lenses (Fowler, Uncle Bob, Feathers, Beck, Metz, Ousterhout, Tornhill), synthesizes a safety-first sequenced refactoring plan, then runs a separate adversarial agent that red-teams the plan before returning it. Triggers on "refactor this", "how should I refactor", "refactoring review", "what should I clean up here", ...

End-to-end ship a GitHub issue — implement, adversarial code review via subagent, adversarial manual testing via subagent, open PR, wait for Copilot review + green CI, address feedback, merge, close issue. Use when given a GitHub issue URL and asked to implement and ship it.

Daily AI news digest covering technical advances, business news, and engineering impact. Aggregates from research papers, tech blogs, HN, newsletters. Use daily for staying current on AI developments.

Use when the user asks for council review, multi-persona critique, debate, design review, code review, architecture feedback, UX review, or tradeoff analysis. Bare invocations use `core` profile auto-detect; explicit `auto` selects the best-fit 6 personas from the sourced 27-persona engineering and UX roster. Users can still pin `core`, `core-eng`, `core-ux`, `core-mix`, `all`, or `debate`.

List, reply to, resolve, and create GitHub PR review comment threads using gh CLI scripts. Use when managing code review feedback, replying to reviewer remarks, resolving review conversations, creating reviews with line-level comments, or bulk-processing threads by author.

Clean up local branches with deleted remote tracking and their worktrees. Use after merging PRs to remove stale branches, detect squash-merged and rebased branches, and clean up associated worktrees.

Stage only specific hunks from the working tree for selective commits. Use when a file has changes from multiple sessions, parallel AI agents, or mixed user and agent edits and you need to commit only the changes made by the current session. Use when git add -p is unavailable or when you need non-interactive partial staging. Lists hunks with IDs, stages by hunk ID, file, regex pattern, or line range.

Auto-review Go code for 100+ common mistakes when analyzing .go files, discussing Go patterns, or reviewing PRs with Go code. Checks error handling, concurrency, interfaces, performance, testing, and stdlib usage.

Identify and remove AI writing patterns to make text sound natural and human-written. Use when humanizing commit messages, PR descriptions, review comments, docs, changelogs, or release notes. Also for de-slopping text that sounds robotic, has AI vibes, or reads like ChatGPT output.

Interactive KubeCon CFP submission writer. Guides through topic selection, title crafting, abstract writing, and benefits section using acceptance data from 1,100+ talks across 7 KubeCon events (2024-2025). Use when preparing a conference talk proposal for KubeCon/CloudNativeCon, writing a CFP, or asking about KubeCon submission strategy.

Critique a Claude implementation plan before approving execution. Spawns parallel persona subagents (Skeptic, Architect, Verifier) to evaluate the plan against the codebase and return an Approve/Reject/Refine verdict with concrete refinements. Use when a plan has been generated (Plan Mode output, ExitPlanMode, pasted plan text, or plan file path) and needs review before code is written. Triggers on "critique this plan", "review this plan", "is this plan good", "poke holes in this plan", "shou...

Use when turning rough instructions into optimized, evidence-based AI prompts for system prompts, task prompts, coding-agent instructions, tools, eval graders, subagent briefings, or prompt-improvement work. Copies to clipboard.

Audit and fix CLAUDE.md files using a tiered binary checklist based on official Anthropic best practices and community guidelines. Use when the user asks to "review CLAUDE.md", "audit CLAUDE.md", "score CLAUDE.md", "improve CLAUDE.md", or "fix CLAUDE.md".

Diagnose and fix flaky e2e tests and general connectivity issues in service mesh environments (Kuma, Istio, Linkerd, Consul). Trigger when: a user mentions intermittent test failures, "test is flaky", e2e failures in CI that don't reproduce locally, Ginkgo/Gomega test files that fail sometimes, 503/connection refused errors, mTLS handshake failures, pods not getting traffic, xDS NACKs or warming resources, cert delivery timing issues, or "works locally but not in cluster". Covers Kuma flakine...

Staff-engineer-level code review that goes beyond correctness to evaluate architectural alignment, system-level implications, failure modes, performance, scalability, backward compatibility, observability, security, and cross-team impact. Use when reviewing a PR (URL or diff), analyzing code changes for architectural fitness, or when the user asks for a thorough/staff-level/senior review of code changes. Triggers on "review this PR", "review these changes", "staff review", "thorough code revi...

Build and refine staff-level engineering resumes through interactive coaching, research-backed best practices, and per-job tailoring. Use when building, improving, or tailoring a resume for Staff/Principal engineer roles.

Write tests that verify behavior (not implementation), use table-driven/parameterized patterns, and minimize mocking. Triggers when asked to write tests, add test coverage, or create test files. Also triggers when reviewing existing tests for quality.