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69.576 skills encontradas
planning-framework
Apply structured thinking before coding. Use when: starting new features, making architectural decisions, refactoring large components, or evaluating implementation approaches. Includes Musk's 5-step algorithm and ICE scoring framework.
azure-ai-formrecognizer-java
Crie aplicativos de análise de documentos com o SDK do Azure Document Intelligence (Form Recognizer) para Java. Use para extrair texto, tabelas, pares chave-valor de documentos, recibos, faturas ou para construir modelos de documentos personalizados.
bio-single-cell-clustering
Dimensionality reduction and clustering for single-cell RNA-seq using Seurat (R) and Scanpy (Python). Use for running PCA, computing neighbors, clustering with Leiden/Louvain algorithms, generating UMAP/tSNE embeddings, and visualizing clusters. Use when performing dimensionality reduction and clustering on single-cell data.
elo-engineering
Builds multi-variant Elo rating systems for sports prediction. Use when user asks about Elo ratings, rating systems, team strength, K-factor, home field advantage, season carryover, margin-of-victory adjustments, or mentions 'Fading Elo', 'Form Elo', 'Component Elo'. Do not use for general feature construction -- see feature-engineering instead. Do not use for team stats without ratings -- see tea
verification-before-completion
Verification discipline for completion claims. Use when about to assert success, claim a fix is complete, report tests passing, or before commits and PRs. Enforces evidence-first workflow.
ai-video-generation
Gere vídeos com IA usando Google Veo, Seedance, Wan, Grok e mais de 40 outros modelos via CLI inference.sh. Esta ferramenta oferece recursos como texto para vídeo, imagem para vídeo, sincronização labial e animação de avatares, ideal para mídias sociais, marketing e demonstrações de produtos.
monday-automation
Automate Monday.com work management including boards, items, columns, groups, subitems, and updates via Rube MCP (Composio). Always search tools first for current schemas.
networkx
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological net
prospect-research-compiler
Aggregate prospect intelligence from multiple sources including news, social media, company websites, and financial data.
jobadder
JobAdder integration via Apideck's ATS unified API — same methods work across every connector in ATS, switch by changing `serviceId`. Use when the user wants to read, write, or sync jobs, applicants, and applications in JobAdder. Routes through Apideck with serviceId "jobadder".
prompt-engineering
Advanced prompt engineering techniques for optimal AI responses. Use this when crafting prompts, optimizing AI interactions, or designing system prompts for applications.
libsbml-network-modeling
Build, read, validate, modify SBML biological network models via the libSBML Python API. SBML Levels 1–3, reactions/kinetic laws, species, rules, FBC extension for flux balance, conversion. Interoperates with COBRApy, Tellurium/RoadRunner, COPASI. Use when programmatically constructing ODE or constraint-based metabolic/signaling models in SBML.