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Found 819 Skills
Perform automated code reviews with best practices, security checks, and refactoring suggestions. Use when reviewing code, checking for vulnerabilities, or analyzing code quality.
Periodic repository health check — dependencies, git, CI/CD, code quality, docs, security. Use when: onboarding to a repo, weekly maintenance, after big refactors, before audits, "is this repo in good shape?". Triggers: "repo hygiene", "health check", "repo health", "clean up repo", "maintenance check", "audit repo", "repo audit".
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Enforce disciplined agent development workflows with plan-first development, small-slice execution, specialized self-review roles, quality gates, and project setup. Use when starting a new project, setting up development conventions, wanting structured planning, or needing the agent to follow best practices for code quality, review, and validation.
GitHub workflow for ToolUniverse - push code safely by moving temp files, activating pre-commit hooks, running tests, and cleaning staged files. Use when pushing to GitHub, fixing CI failures, or cleaning up before commits.
Use when designing solutions, adding features, or refactoring by applying KISS, YAGNI, and Principle of Least Astonishment to write simple, predictable code.
Performs comprehensive codebase audit checking architecture, tech debt, security vulnerabilities, test coverage, documentation, dependencies, and maintainability. Use when auditing a project, assessing codebase health, running security scans, checking for vulnerabilities, reviewing code quality, analyzing tech debt, or asked to audit/analyze the entire codebase.
Guide for using ruff, the extremely fast Python linter and formatter. Use this when linting, formatting, or fixing Python code to maintain code quality and consistency.
Apply SPARC methodology (Specification, Pseudocode, Architecture, Refinement, Completion) for systematic development. Use for feature development, TDD workflows, and structured problem-solving.
Quickly understand a new codebase's architecture, tech stack, and patterns. Use when user asks "what is this project", "project overview", "how is this codebase structured", "what tech stack", or when onboarding to a new codebase.
Provides automated, context-aware code reviews focusing on logic errors and style violations. Use during Pull Request cycles to identify potential bugs and maintain high code quality standards.
Generate an LLM-optimized project profile for any git repository. Outputs docs/{project-name}.md covering architecture, core abstractions, usage guide, design decisions, and recommendations. Trigger: "/project-profiler", "profile this project", "為專案建側寫"