Explorar skills
69.576 skills encontradas
deepchem
ML molecular com diversos featurizers e conjuntos de dados pré-construídos para previsão de propriedades (ADMET, toxicidade) usando ML tradicional ou GNNs. Ideal para experimentos rápidos com modelos pré-treinados, diversas representações moleculares e benchmarks MoleculeNet, oferecendo amplas opções de featurização.
bio-crispr-screens-perturb-seq-analysis
Analyzes single-cell pooled CRISPR screens (Perturb-seq, CROP-seq, Perturb-CITE-seq, ECCITE-seq, multiome) where each cell carries an sgRNA and a scRNA-seq / surface-protein / chromatin readout. Covers experimental design (direct-capture Perturb-seq Dixit 2016 vs CROP-seq 3'UTR-barcoded Datlinger 2017 vs ECCITE-seq vs Multiome), MOI for sgRNA assignment, escaper-cell filtering (Mixscape, Papalexi
writing-docs
Expert at writing high-quality documentation for code, APIs, and projects. Auto-invokes when generating docstrings, creating README files, writing API documentation, adding code comments, or producing any technical documentation. Provides language-specific templates and best practices for effective documentation writing.
bio-workflows-cytometry-pipeline
End-to-end flow, spectral, and mass cytometry (CyTOF) pipeline from raw FCS files to differentially abundant/expressed cell populations. Orchestrates the read -> compensate/unmix -> transform -> QC -> doublet-removal -> cluster-or-gate -> annotate -> diffcyt DA/DS chain with flowCore/CATALYST/diffcyt, branching on instrument type and on clustering-vs-gating. Use when processing a cytometry experim
when-creating-skill-template-use-skill-builder
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization
ai-partner-chat
Oferece conversas personalizadas com base em perfis de usuário e notas vetorizadas. Use quando os usuários precisam de interação personalizada, respostas sensíveis ao contexto, ou desejam que a IA lembre e cite suas ideias e notas anteriores.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
evaluation
Esta skill é utilizada para avaliar o desempenho de agentes, construir frameworks de teste, medir a qualidade de agentes, criar rubricas de avaliação, ou ao discutir LLM-como-juiz, avaliação multidimensional, testes de agentes e portões de qualidade para pipelines de agentes.
auth-analyzer
Revisar e analisar padrões de autenticação e autorização em busca de vulnerabilidades de segurança.
wireshark-analysis
This skill should be used when the user asks to \"analyze network traffic with Wireshark\", \"capture packets for troubleshooting\", \"filter PCAP files\", \"follow TCP/UDP streams\", \"dete...
figma-pencil-fsd-tailwind4
Convert Figma or Pencil designs into production-ready frontend code using Feature-Sliced Design and Tailwind CSS v4. Use when translating designs into code, extracting tokens, mapping UI to FSD layers (shared / entities / features / widgets / pages / app-shell / app), enforcing Server vs Client boundaries when applicable, or validating design-to-code fidelity.
bio-splice-variant-prediction
Predicts whether a DNA variant alters mRNA splicing using sequence-based deep-learning tools — SpliceAI (10kb context dilated CNN, clinical default), Pangolin (multi-tissue), MMSplice (modular per-region CNN with calibrated ΔPSI), SpliceTransformer/TrASPr (tissue-aware transformers), SpliceVault (empirical 300K-RNA lookup of likely mis-splicing outcomes), CADD-Splice (composite score). Applies the