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31.375 skills encontradas
mk:preview
Use para gerar artefatos visuais como explicações, diagramas, slides, visualizações de diferenças ou HTML de exibição de planos. É acionado por frases como "explique X visualmente", "diagrama isso" ou "mostrar como slides", mas não para mídia ao vivo, QA de navegador ou crítica de planos.
pyhealth
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implem
claude-consult
Consult Claude specialist agents during implementation for codebase understanding, pattern checking, security review, debugging help, and more. Use this skill whenever you're unsure about conventions, stuck on a failure, or need expert input before writing code. Does not replace the formal review gates in agent-loops — this is for mid-implementation consultation.
mk:docs-init
Use when a project has no docs/ directory or needs initial documentation generated from codebase analysis. Triggers on "init docs", "create documentation", "generate docs", "docs init", or when docs/ is empty. Do NOT use for updating existing docs (use mk:document-release).
ai-multimodal
Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from docum
mk:help
Workflow navigation assistant. Scans project state (plans, reviews, tests, git) and recommends the next step in the 7-phase pipeline. Use when asked "what should I do next?", "where am I?", "help", or at session start. NOT for domain complexity routing (see mk:scale-routing); NOT for skill discovery (descriptions handle that automatically).
seo
Use when running SEO, GEO, schema, Core Web Vitals, sitemap, hreflang, E-E-A-T, AI Overviews, technical SEO, or structured data tasks. Covers full-site audits, single-page analysis, schema markup, content quality, AI search optimization, local SEO, sitemap/robots, internal linking, semantic clustering, and search experience.
youtube-downloader
Download videos, audio, playlists, and channels from YouTube and 1000+ websites using yt-dlp. Supports quality selection, format conversion, subtitle download, playlist filtering, metadata extraction, thumbnail download, and batch operations. Use when downloading YouTube videos in any quality (4K, 8K, HDR), extracting audio as MP3/M4A/FLAC, downloading entire playlists/channels, getting subtitles
brand-library-architect
Build a complete brand library for a product — visual asset render pipeline, brand documentation set (BRAND, COPY, MANIFESTO, BIOS, FAQ, GLOSSARY, TONE, PRICING), open-source convention files (README, CONTRIBUTING, SECURITY, CODE_OF_CONDUCT), and a self-contained press kit. This skill should be used when the user asks to "build a brand library / brand kit / press kit / brand assets" for a product,
consensus-loop:planner
Design tasks into tracks with work breakdowns and execution order. Also writes and maintains PRDs (Product Requirements Documents) — when a user requests a feature, analyzes it, adds it to the PRD, then decomposes into work breakdowns. Use for new feature planning, PRD writing, architecture changes, multi-track decomposition, requirements analysis, or adjusting existing execution plans. Trigger wh
doc-completeness-audit
Audit documentation completeness by mapping what a doc set should cover against what it actually covers. Produces a prioritized gap report by topic, not just by file. This skill should be used after shipping features, before releases, or when users report missing documentation.
fec-debug-framework
Use when diagnosing and fixing frontend issues including build failures, runtime errors, UI anomalies, and API/data problems. Provides a unified 5-step diagnostic methodology with type-specific modules. Chinese triggers: 调试, debug, 排查, 定位, 报错, 异常, 白屏, 请求失败.