quality-checker
Validate skill quality, completeness, and adherence to standards. Use before packaging to ensure skill meets quality requirements. Use when relevant to the task.
发现 部署与运维 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。
Validate skill quality, completeness, and adherence to standards. Use before packaging to ensure skill meets quality requirements. Use when relevant to the task.
Create, manage, and validate Python virtual environments. Use for project isolation and dependency management.
Detect and use llms.txt files for LLM-optimized documentation. Use when checking if a site has LLM-ready docs before scraping.
AI-powered enhancement of skill SKILL.md files. Use to transform basic templates into comprehensive, high-quality skill documentation. Use when relevant to the task.
Manage architecture changes with impact analysis, ADR generation, and migration planning. Use when relevant to the task.
Generate executive-ready performance summaries with insights and recommendations. Use when relevant to the task.
Auto-generate test data factories from schemas, types, or models. Use when creating test data infrastructure, setting up fixtures, or reducing test setup boilerplate.
Run mutation testing to validate test quality beyond code coverage. Use when assessing test effectiveness, finding weak tests, or validating test suite quality.
Execute Python tests with pytest, supporting fixtures, markers, coverage, and parallel execution. Use for Python test automation.
Assesses workspace alignment and suggests cleanup or realignment actions at key transition points. Use when relevant to the task.
Combine multiple voice profiles with weighted mixing to create hybrid voices. Use when relevant to the task.
Analyze GitHub repositories for structure, documentation, dependencies, and contribution patterns. Use for codebase understanding and health assessment.
Rapid incident classification, severity assessment, and response coordination. Use when relevant to the task.
Gather and analyze competitive intelligence from multiple sources. Use when relevant to the task.
Merge multiple documentation sources (docs, GitHub, PDF) with conflict detection. Use when combining docs + code for complete skill coverage.
Detect requests for iterative AI task loops and invoke the Ralph command
Verify bidirectional traceability from requirements to code to tests. Use when relevant to the task.
Detects AI-generated writing patterns and suggests authentic alternatives. Auto-applies when reviewing content, editing documents, generating text, or when user mentions writing quality, AI detection, authentic...
Detect orphaned tests, obsolete assertions, and test-code misalignment. Use for test suite maintenance, cleanup, and traceability validation.
Package skills into uploadable ZIP files for Claude. Use after skill-builder/skill-enhancer to create final upload package. Use when relevant to the task.
Validate AIWG configuration files and project setup for correctness and completeness. Use when relevant to the task.
Multi-stage quality assurance protocol for marketing assets with channel-specific validation. Use when relevant to the task.
Configure TDD enforcement via pre-commit hooks and CI coverage gates. Use when setting up test-first development workflow, adding coverage gates, or enforcing TDD practices.
Analyze test coverage, identify gaps, and recommend test improvements. Use when relevant to the task.
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。