Loading...
Loading...
Found 1,283 Skills
Acts as a Senior Staff Engineer to enforce high-quality software development standards. Use this skill when the user asks for code implementation, architectural review, debugging, or technical design. It ensures all code is production-ready, typed, and architecturally sound.
Use when validating implementation against spec artifacts before archive — not for design, planning, or implementation
Create and manage AI-powered GitHub workflows that autonomously maintain repositories, review code, update docs, and handle developer tasks.
Professional code review skill for Claude Code. Automatically collects file changes and task status. Triggers when working directory has uncommitted changes, or reviews latest commit when clean. Triggers: code review, review, 代码审核, 代码审查, 检查代码
Session context persistence for AI coding. Start/end sessions, create specs and docs, review work. Use for session management, "start session", "end session", implementation specs, documentation, code review, or questions about previous work, decisions, blockers, "last time", "what we decided".
Identify error-prone APIs and dangerous configurations
This skill should be used when the user asks to "use Codex", "ask Codex", "consult Codex", "use GPT for planning", "ask GPT to review", "get GPT's opinion", "what does GPT think", "second opinion on code", "consult the oracle", "ask the oracle", or mentions using an AI oracle for planning or code review. NOT for implementation tasks.
Evaluates student code submissions based on conceptual mastery rather than just correctness. Use to provide high-quality educational feedback on architectural patterns and programming logic.
Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task, reviews once per phase, loads phases just-in-time to minimize context usage
This skill should be used when the user asks to "use the oracle" or "ask the oracle" for deep research, analysis, or architectural questions. The oracle excels at multi-source research combining codebase exploration and web searches, then synthesizing findings into actionable answers. Use for complex questions requiring investigation across multiple sources, architectural analysis, refactoring plans, debugging mysteries, and code reviews.
Analyze code quality based on "Clean Code" principles. Identify naming, function size, duplication, over-engineering, and magic number issues with severity ratings and refactoring suggestions. Use when the user requests code quality checks, refactoring advice, Clean Code analysis, code smell detection, or mentions terms like code review, code quality, refactoring check.
Perform a code review with linting, standards checking, and priority-ranked findings