Loading...
Loading...
Found 873 Skills
Code quality improvement: review, refactoring, debugging. Phases: review feedback, systematic refactoring, root cause debugging, verification. Capabilities: SOLID/DRY compliance, code smell detection, complexity reduction, bug investigation, verification gates. Actions: review, refactor, debug, verify, validate code. Keywords: code review, refactor, debug, SOLID, DRY, code smell, bug fix, root cause, verification, technical debt, extract method, test failure, completion claim. Use when: reviewing code changes, improving code quality, fixing bugs, reducing technical debt, validating before merge/commit.
Python 3.11+ performance optimization guidelines (formerly python-311). This skill should be used when writing, reviewing, or refactoring Python code to ensure optimal performance patterns. Triggers on tasks involving asyncio, data structures, memory management, concurrency, loops, strings, or Python idioms.
Review code architecture for maintainability, catch structural issues before they become debtUse when "Reviewing pull requests with structural changes, Planning refactoring work, Evaluating new feature architecture, Assessing technical debt, Before major releases, When code feels "hard to change", architecture, code-review, refactoring, design-patterns, technical-debt, dependencies, maintainability" mentioned.
Apply when writing, modifying, or reviewing code. Behavioral guidelines to reduce common LLM coding mistakes. Triggers on implementation tasks, code changes, refactoring, bug fixes, or feature development.
Manage technical debt by producing a Tech Debt Management Pack (debt register, scoring/prioritization, refactor vs rewrite decision memo, incremental paydown plan, migration/rollback plan, metrics, and stakeholder cadence). Use for tech debt, refactoring, legacy modernization, and migrations.
Performs structural code search and refactoring by matching code structure instead of exact text. Use when editing code structure with text matching ambiguity, handling "old_string not unique" problems, or performing formatting-independent pattern matching across function signatures, method calls, and class structures
Executes OpenAI Codex CLI for code analysis, refactoring, and automated editing. Activates when users mention codex commands, code review requests, or automated code transformations requiring advanced reasoning models.
Practical guidance for writing, refactoring, and reviewing fast, reliable, and maintainable Rust code.
Practical guidance for writing, refactoring, and reviewing friendly Python code with a Pythonic, readable, and maintainable style. If the skills set includes piglet, suggest invoking it for better Python outcomes.
Principal-engineer-level React refactoring patterns for eliminating code smells. Covers prop drilling, state explosion, component composition, abstraction quality, coupling, hooks, rendering patterns, and testability. Use when refactoring existing React codebases, reviewing PRs for architectural issues, or identifying technical debt in React applications.
Comprehensive patterns for building AI-powered code generation tools, code assistants, automated refactoring, code review, and structured output generation using LLMs with function calling and tool use. Use when "code generation, AI code assistant, function calling, structured output, code review AI, automated refactoring, tool use, code completion, agent code, " mentioned.
This skill should be used when reducing the cognitive complexity threshold of the codebase. It lowers the threshold by 2, identifies functions that exceed the new limit, generates a brief with refactoring strategies, and creates a plan with tasks to fix all violations.