Explorar skills

Comprehensive quality control for flow cytometry and CyTOF data. Covers flow rate stability, signal drift, margin events, dead cell exclusion, and batch QC. Use when assessing acquisition quality or identifying problematic samples before analysis.

Consulte moléculas bioativas e dados de descoberta de medicamentos do ChEMBL. Pesquise compostos por estrutura/propriedades, recupere dados de bioatividade (IC50, Ki), encontre inibidores e realize estudos de SAR para química medicinal.

刑部审查前与门下覆奏前加载，明确技术审查与覆奏两道质量关卡的职责分界

The process I experienced firsthand through the https://anthropic.skilljar.com/claude-code-in-action course using real-world daily projects

FastAPI web framework patterns. Triggers on: fastapi, api endpoint, dependency injection, pydantic model, openapi, swagger, starlette, async api, rest api, uvicorn.

Visma Netvisor integration via Apideck's Accounting unified API — same methods work across every connector in Accounting, switch by changing `serviceId`. Use when the user wants to read, write, or reconcile invoices, bills, payments, ledger accounts, and journal entries in Visma Netvisor. Routes through Apideck with serviceId "visma-netvisor".

Query protein-protein and gene interaction databases (STRING, BioGRID, IntAct, SIGNOR, Reactome, HuRI, HuMAP, OmniPath, ConsensusPathDB, DIP). Use when building PPI networks, choosing between physical vs functional vs genetic interactions, signed/directed vs undirected, high-throughput vs curated, picking confidence thresholds, aggregating across resources, or navigating license constraints. Encod

Uma estrutura de pontuação para test-kitchen cookoff e omakase-off, invocada na Fase 4 para avaliar implementações usando pontuação de 5 critérios. Não deve ser invocada diretamente, pois é chamada por cookoff/omakase-off.

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems thinking, six thinking hats). Use when users want to: (1) deeply understand complex articles/content, (2) analyze arguments and identify logical flaws, (3) extract actionable insights from reading material

Derive security requirements from threat models and business context. Use when translating threats into actionable requirements, creating security user stories, or building security test cases.

Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.