GitHub
uloop-run-tests
Execute Unity Test Runner via uloop CLI. Use when you need to: (1) Run unit tests (EditMode tests), (2) Run integration tests (PlayMode tests), (3) Verify code changes don't break existing functionality.
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数据库 AI 技能
发现 数据库 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
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GitHub
testing-typescript
Write tests for TypeScript code with three tiers (Unit/Integration/E2E). Use when testing TypeScript or writing TypeScript tests.
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GitHub
pytest-patterns
Automatically applies when writing pytest tests. Ensures proper use of fixtures, parametrize, marks, mocking, async tests, and follows testing best practices.
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GitHub
testing
Create and execute comprehensive testing strategies including unit tests, integration tests, test-driven development, and test coverage analysis. Use when writing tests, implementing TDD, checking test coverage...
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GitHub
bug-reproduction-test-generator
Generates failing tests that reproduce reported bugs in FanHub. Use when a bug report comes in and you need to create a test that demonstrates the issue before fixing it. Follows FanHub's testing patterns and d...
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GitHub
aico-frontend-implement
Execute frontend implementation with TDD. Read all constraint files before coding, write failing test first, verify after each step. Use this skill when: - User asks to "implement this", "implement the plan",...
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GitHub
aico-pm-acceptance-criteria
Define clear, testable acceptance criteria using Given/When/Then (Gherkin) format that can be directly used for testing. Use this skill when: - User asks for "acceptance criteria", "AC", "test criteria", "done...
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GitHub
refactoring
Linter-driven refactoring patterns to reduce complexity and improve code quality. Use when linter fails with complexity issues (cyclomatic, cognitive, maintainability) or when code feels hard to read/maintain....
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GitHub
complextropy-analyzer
Analyzes files for optimal complexity using sophistication theory - refactors code that is too simple (low entropy) or too chaotic (high entropy, low sophistication) to achieve ideal "complextropy" where code h...
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GitHub
triad-audit
Run systematic code audits using the Subtractive Triad framework (DRY → Rams → Heidegger). Use when auditing codebases for bloat, reviewing PRs for quality, finding dead code, or evaluating if code "earns its e...
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GitHub
code-standards-enforcer
Ensure code quality or perform code reviews through comprehensive checklists and standards enforcement.
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GitHub
code-review
Submit code review requests to multiple AI providers (GitHub Copilot, Anthropic Claude, OpenAI Codex, Google Gemini) and get patches back. Use when user says "code review", "review this code", "get a patch for"...
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GitHub
coding-python
Write Python code that's tested and type-safe. Use when coding Python or implementing features.
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GitHub
static-analysis
.NET static analysis and code quality tools. Use when configuring analyzers, fixing warnings, or enforcing code standards.
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GitHub
validate-plan-file
Validate that orchestrator plan files conform to expected JSON schema. Use before workers read plan files or after orchestrators create them to ensure proper structure and required fields.
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GitHub
rust-maintenance
Rust 代码维护与稳定性优先（正确性、回归、测试、clippy/fmt、MSRV）
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GitHub
code-review
Perform thorough code reviews on pull requests, diffs, or code changes. Use when asked to review code, check a PR, or provide feedback on changes.
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GitHub
upkeep-quality
Generate and improve code quality scores for JS/TS projects
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GitHub
reviewing-typescript
Review TypeScript code strictly, reject mocking. Use when reviewing TypeScript code or checking if code is ready.
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GitHub
upkeep-audit
Security audit with fix recommendations for JS/TS projects
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GitHub
reviewing-python
Review Python code strictly, reject mocking. Use when reviewing Python code or checking if code is ready.
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GitHub
checking-urls
Validates all URLs (internal relative links and external URLs) in markdown files. Use when adding new content, after making changes, or when asked to check/audit links.
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GitHub
dqx-code-standards
Quick reference for DQX Python code standards
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GitHub
repo-hardening
Best practices for setting up quality tooling across different language stacks.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。