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Found 73 Skills
Strip designs to their essence by removing unnecessary complexity. Great design is simple, powerful, and clean.
Remove LLM-generated code patterns that add noise without value. Use when reviewing diffs, PRs, or branches to clean up AI-generated code. Triggers include requests to "remove slop", "clean up AI code", "review for AI patterns", or checking diffs against main for unnecessary verbosity, redundant checks, or over-engineering introduced by LLMs. Language-agnostic.
Evaluate finished work for defects, risk, and simplification before it ships
Simplify and clean code
CI-only Simplify & Harden workflow for pull requests using gh-aw (GitHub Agentic Workflows). Runs headless scan-and-report checks for simplify/harden/document, posts structured findings, and can block merges on critical or advisory classes. Use when: you want automated quality/security review in CI without interactive approvals.
Use when user wants a pre-review cleanup pass on changed code by running parallel reviews for reuse, code quality, and efficiency, then applying worthwhile fixes without changing behavior.
Simplify and refine code for clarity, consistency, and maintainability
Make an existing change more concise without altering behavior. Use when asked to simplify or reduce a diff.
Engineering-discipline toolkit for non-technical users working with AI coders. Wields KISS, DRY, YAGNI, fail-fast, and idempotency as commands. Use when the user asks to audit, simplify, clean up, dedupe, or harden code; or says "make this simpler", "any duplicates?", "is this safe to run twice", "explain this app", "find dead code", "simplify the plan", or "find silent failures".
Review a diff for clarity and safe simplifications, then optionally apply low-risk fixes.
Simplify existing code without changing behavior. Focus on local complexity reduction such as flattening nesting, extracting readable helpers, removing dead code, consolidating obvious duplication, and improving names. Use when the user explicitly asks to simplify, clean up, or reduce complexity in existing code.
Hunts complexity in the current diff and APPLIES the simplifications directly to the working tree, then verifies the build. Five angles: reuse (duplicate logic, hand-rolled stdlib, platform features), quality (React/TypeScript hygiene, over-memoisation, exhaustive-deps, `any`, `CLAUDE.md`/`AGENTS.md` violations), efficiency (unnecessary work, missed concurrency, hot-path bloat), altitude (bandaid fixes special-cased onto shared code), and test discipline (repro test per bug fix, useless tests deleted, new tests only when they prevent a named failure). Hand it a `pr-reviewer` report and it applies those confirmed findings too. Use when the user says "tidy this up", "simplify", "clean up this diff", "polish my changes", "make this simpler", "apply the review findings", or "any reuse opportunities?". For a read-only report instead, use `pr-reviewer`; for the PR's title, description, or commits, use `pr-creator`.