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Found 1,287 Skills
Audit automatique de conformité aux règles métier du domaine Hexagone (docs/domain/). Analyse le code d'un écran et les API appelées, matche contre les invariants, transitions et validations documentés, et produit un rapport structuré avec citations. Mode report-only — aucune modification automatique sur des règles métier en contexte santé.
Analyzes one or more sample articles to extract a writing style profile, then rewrites any target article in that exact style. Trigger when the user says: "Analyze the writing style of this article", "Rewrite in this style", "Clone someone's writing style", "Rewrite in XX's style", "style clone", "rewrite in this style", or pastes articles requesting style analysis/imitation.
Every Google Search Console feature you'd reach for, plus an offline SQLite cache that powers period compare, quick... Trigger phrases: `search console performance for example.com`, `quick wins for sc-domain:example.com`, `cannibalization audit on this site`, `compare last 28 days to prior period in GSC`, `why did traffic drop on this property`, `which pages are decaying`, `use google-search-console`, `run gsc`.
DuckDB SQL reference for MotherDuck. Use when you need exact DuckDB syntax, function behavior, supported MotherDuck SQL features, or to resolve whether PostgreSQL-oriented SQL will fail on MotherDuck.
Package and build custom AI models with Cog for deployment on Replicate. Use when creating a cog.yaml or predict.py, defining model inputs and outputs, loading model weights at setup time, building Docker images for ML models, serving locally with cog serve or cog predict, or porting a HuggingFace, GitHub, or ComfyUI model to run on Replicate. Trigger on phrases like "build a model", "package a model", "create a Cog model", "wrap a model", "containerize an AI model", "predict.py", "cog.yaml", "BasePredictor", or "Cog container", and when referencing cog.run, github.com/replicate/cog, or github.com/replicate/cog-examples. Covers GPU and CUDA setup, pget for fast weight downloads, async predictors with continuous batching, streaming outputs, and cold-boot optimization for image, video, audio, and LLM models. For pushing built models to Replicate, see publish-models. For running existing models, see run-models.
Modo de explicação em camadas. Aplica SOMENTE na resposta imediatamente após a invocação — depois volta ao normal automaticamente. A resposta deve ser em manchete (1 frase, no máximo 2), no nível exato da granularidade da pergunta. Não listar itens individuais quando a pergunta foi sobre o conjunto. Não oferecer drill-down nem perguntar se quer detalhar — esperar o usuário pedir. Use SOMENTE quando o usuário invocar explicitamente com "/peel-talk", "peel-talk", "explica no peel-talk", "peel talk", "modo peel", ou variações. NÃO invocar automaticamente em outras tarefas.
Corrige e analisa escrita acadêmica em PDFs ou documentos de TCCs, dissertações, teses e artigos científicos com rigor de banca examinadora. Use esta skill SEMPRE que o usuário pedir para revisar, corrigir, analisar ou comentar um trabalho acadêmico, TCC, artigo, dissertação, monografia, relatório científico ou qualquer documento de escrita acadêmica. Também acione quando o usuário mencionar: "revisar meu TCC", "corrigir artigo", "feedback acadêmico", "análise do meu trabalho", "comentar PDF", "revisar escrita", "normas ABNT", ou pedir avaliação de estrutura, coerência, referências, metodologia ou linguagem formal. Realiza verificação ativa das fontes citadas via busca na web, detecta afirmações sem suporte bibliográfico, identifica inconsistências metodológicas e gera um PDF anotado com comentários técnicos detalhados e um relatório com nível de rigor de parecerista de periódico científico.
Design, test, and optimize prompts for LLM interactions. Cover prompt patterns (few-shot, chain-of-thought, ReAct), system prompt design, output formatting, prompt evaluation, and prompt optimization techniques. Triggers on "write prompt", "optimize prompt", "design system prompt", "few-shot examples", "chain of thought", "prompt evaluation", "LLM output formatting", "prompt testing", or "prompt patterns".
Literature Scout — Responsible for multi-source literature retrieval, screening, and classification, and constructing literature matrices. Activated when assigned by research supervisors to collect literature. Conduct systematic literature retrieval using tools such as Exa, ArXiv API, Semantic Scholar, etc.
Surface the 20 most relevant stories in a niche from the last 7 days using Claude for Chrome. Verified dates, real links, shareable angles. Claude drives the browser to scroll Reddit, X and run Google searches — exactly like a human researcher would. Use this skill whenever the user says "research my niche", "what's trending", "find stories", "this week's news", "content research", or drops a niche and asks what's happening in it. Requires the Claude for Chrome extension to be enabled for live browsing.
AI SDLC resumable task-runtime workflow. Use when an AI assistant needs to start or resume a versioned delivery run, select dependency-ready work, enforce step, failure, and token budgets, retry safely, persist exact stop reasons, recover state from an append-only journal, or require commit evidence at task boundaries. Supports `--quick-flow` for deterministic local runs and `--full-flow` for strict transition review.
Comprehensive guide to building video applications with Mux, the developer-first video infrastructure platform. This skill covers video streaming, live streaming, player integrations, analytics with Mux Data, and AI-powered workflows. Whether you are building a video-on-demand platform, live streaming application, or integrating video into an existing product, this documentation provides the patterns and code examples needed to ship quickly.