doc-scraper
Scrape documentation websites into organized reference files. Use when converting docs sites to searchable references or building Claude skills.
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Scrape documentation websites into organized reference files. Use when converting docs sites to searchable references or building Claude skills.
Identify flaky tests from CI history and test execution patterns. Use when debugging intermittent test failures, auditing test reliability, or improving CI stability.
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...
Execute JavaScript/TypeScript tests with Vitest, supporting coverage, watch mode, and parallel execution. Use for JS/TS test automation.
Unified brand compliance validation across visual, verbal, and legal dimensions. Use when relevant to the task.
Scrape documentation websites into organized reference files. Use when converting docs sites to searchable references or building Claude skills.
Load, validate, and populate templates consistently across frameworks. Use when relevant to the task.
Build Claude skills from extracted documentation. Use after doc-scraper/pdf-extractor to generate uploadable skill packages. Use when relevant to the task.
Build Claude skills from extracted documentation. Use after doc-scraper/pdf-extractor to generate uploadable skill packages.
Aggregate multi-reviewer feedback into consolidated, actionable recommendations. Use when relevant to the task.
Identify flaky tests from CI history and test execution patterns. Use when debugging intermittent test failures, auditing test reliability, or improving CI stability.
Suggest and apply fixes for flaky tests based on detected patterns. Use after flaky-detect identifies unreliable tests that need repair. Use when relevant to the task.
Applies a voice profile to transform content. Use when user asks to write in a specific voice, match a tone, apply a style, or transform content to sound like a particular voice profile.
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.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.