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This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.

Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service performance.

End-to-end bisulfite sequencing workflow from FASTQ to differentially methylated regions. Covers Bismark alignment, methylation calling, and DMR detection with methylKit. Use when analyzing bisulfite sequencing data.

Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.

Um kit de ferramentas abrangente para modelos de linguagem de proteínas, incluindo ESM3 para design generativo multimodal de proteínas e ESM C para embeddings eficientes. Utilize esta skill para predição de sequência, estrutura ou função de proteínas, design de novas proteínas e dobramento inverso.

Shell script static analysis and linting. USE WHEN shellcheck, lint shell, bash lint, sh lint, script analysis, shell errors, SC codes, shell best practices. Comprehensive shell script validation with CI/CD integration.

Deploy applications and websites to Vercel instantly. Use when asked to \"Deploy my app\", \"Deploy this to production\", \"Create a preview deployment\", or \"Push this live\". No authentication required - returns preview URL and claimable deployment link.

智能媒体下载器。根据用户描述自动搜索和下载图片、视频片段，支持视频自动剪辑。 Smart media downloader. Automatically search and download images/video clips based on user description, with auto-trimming support. 触发方式 Triggers: "下载图片", "找视频", "download media", "download images", "find video", "/media"

Cheminformatics toolkit for molecular analysis and virtual screening: SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints (Morgan/ECFP, MACCS), Tanimoto similarity, SMARTS substructure filtering, Lipinski drug-likeness, reaction enumeration, 2D/3D coordinates. For simpler API use datamol; use RDKit for fine-grained sanitization, custom fingerprints, or SMARTS/reaction control.

Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.

Performs structure-based virtual screening using AutoDock Vina 1.2 for molecular docking. Prepares receptor PDBQT files, generates ligand conformers, defines binding site boxes, and ranks compounds by predicted binding affinity. Use when screening chemical libraries against a protein structure to find potential binders.

Deep learning-based variant calling from long reads using Clair3 for SNPs and small indels. Use when calling germline variants from ONT or PacBio alignments, particularly when high accuracy is needed for clinical or research applications.