GitHub
image-gen
根据文本描述生成图像（返回生成参数和预览URL）
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Lifestyle AI Skills
Discover Lifestyle skills, compare source repositories and read the instructions for each workflow.
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GitHub
web-search
执行网页搜索并返回结构化结果摘要
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GitHub
data-analysis
分析结构化数据并生成统计报告和可视化建议
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GitHub
text-summary
将长文本压缩为简洁摘要，支持多种语言
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GitHub
implementation-review
Self-feedback review loop to verify implementation matches specification. Use with --mode quick/standard/thorough to control review depth. Default is thorough (3 consecutive passes). (user)
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GitHub
test-coverage-improvement-expert
Analyze test coverage and add new test cases to improve coverage without changing implementation
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GitHub
specification-translation-expert
Translate specification files to Japanese while preserving technical accuracy and formatting
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GitHub
github-actions-reusable-workflows-expert
Expert guidance for creating and maintaining GitHub Actions workflows and reusable workflows with security best practices
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GitHub
spec-review
Review specifications for completeness, clarity, testability, and quality. Use with --mode quick/standard/thorough to control review depth. Default is thorough (3 consecutive passes). (user)
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GitHub
specification-contradiction-checker
Analyze specification files for contradictions, inconsistencies, and ambiguities
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GitHub
cicd-fix-expert
Analyze and fix CI/CD pipeline failures including build errors, test failures, and linting issues
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GitHub
lint-fix-expert
Fix lint and static analysis warnings one at a time with proper prioritization
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GitHub
generate-spec-docs
Generate Japanese documentation from spec files. Use AUTOMATICALLY after writing or editing any file matching specs/**/*.md (excluding specs/**/docs/*). Also use when user says "generate spec docs", "spec docs"...
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GitHub
smart-contract-security-audit
Deep security analysis for Solidity smart contracts with DeFi context
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GitHub
code-review-expert
Comprehensive code review for pull requests with quality, security, and best practices analysis
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GitHub
generate-spec
Generate a specification file from user input/requirements. Use when user says "generate spec", "create spec", "write spec", "spec from requirements", or provides feature requirements and asks to create a spec....
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GitHub
software-design-principles
Object-oriented design principles including object calisthenics, dependency inversion, fail-fast error handling, feature envy detection, and intention-revealing naming. Activates during code refactoring, design...
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GitHub
independent-research
Research-driven investigation skill for validating solutions and exploring documentation. Never ask questions you can answer yourself through research. Use WebFetch, WebSearch, and testing to validate ideas bef...
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GitHub
concise-output
Enforces brevity and signal-over-noise in all outputs. Eliminates verbose explanations, filler phrases, and unnecessary elaboration. Use when documentation, artifacts, or responses need to be maximally concise...
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GitHub
questions-are-not-instructions
Ensures questions are answered literally before taking action. Triggers on user input containing '?' or patterns like 'why did you...?', 'will that work?', 'have you considered...?'. Use when user asks about yo...
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GitHub
switch-persona
Quick persona switching. Triggers: 'switch persona', 'switch to X', 'become X'. Lists personas, reads selected file, switches immediately.
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GitHub
lightweight-implementation-analysis-protocol
This skill should be used when fixing bugs, implementing features, debugging issues, or making code changes. Ensures understanding of code flow before implementation by: (1) Tracing execution path with specific...
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GitHub
tdd-process
Strict test-driven development state machine with red-green-refactor cycles. Enforces test-first development, meaningful failures, minimum implementations, and full verification. Activates when user requests: '...
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GitHub
observability-first-debugging
Systematic debugging methodology that eliminates guessing and speculation. Add instrumentation to gather specific data that fully explains the problem. Evidence before hypothesis. Observation before solution.
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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.