GITHUB AGENT SKILLS / 技能收录
给你的 AI 助手
装上专业技能
我们从 GitHub 持续收录、审核并分类优质的 Agent Skills，按职业与使用场景整理，复制一行命令即可安装到 Claude Code、Cursor 等智能体。
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按 GitHub Stars 排序的优秀创作者
Microsoft
@microsoft
openclaw
@openclaw
OpenAI
@openai
The Apache Software Foundation
@apache
GitHub
@github
Anthropic
@anthropics
AutoGPT
@Significant-Gravitas
Garry Tan
@garrytan全部 Skills 196852
tooluniverse-proteomics-analysis
Analyze mass spectrometry proteomics data including protein quantification, differential expression, post-translational modifications (PTMs), and protein-protein interactions. Processes MaxQuant, Spectronaut, DIA-NN, and other MS platform outputs. Performs normalization, statistical analysis, pathway enrichment, and integration with transcriptomics. Use when analyzing proteomics data, comparing protein abundance between conditions, identifying PTM changes, studying protein complexes, integrating protein and RNA data, discovering protein biomarkers, or conducting quantitative proteomics experiments.
tooluniverse-protein-therapeutic-design
Design novel protein therapeutics (binders, enzymes, scaffolds) using AI-guided de novo design. Uses RFdiffusion for backbone generation, ProteinMPNN for sequence design, ESMFold/AlphaFold2 for validation. Use when asked to design protein binders, therapeutic proteins, or engineer protein function.
project-direction
Use when deciding what a project should work on next, comparing competing priorities, deriving a milestone from VISION, brainstorming new feature candidates that fit the project's doctrine, judging whether a project's goals and requirements are settled enough to begin authoring specifications, sequencing an approved specification into an execution graph, or deciding what to do about already-confirmed spec drift. Triggers on "what should we work on next", "prioritize features", "is this roadmap aligned", "what's highest leverage", "what's the next milestone", "should we build this or Y", "are we ready to write specs", "break this approved spec down", "brainstorm features", "what could we build".
tooluniverse-protein-structure-retrieval
Retrieves protein structure data from RCSB PDB, PDBe, and AlphaFold with protein disambiguation, quality assessment, and comprehensive structural profiles. Creates detailed structure reports with experimental metadata, ligand information, and download links. Use when users need protein structures, 3D models, crystallography data, or mention PDB IDs (4-character codes like 1ABC) or UniProt accessions.
th-projects
Use for project-level engineering governance: bootstrap or audit the doctrine/spec/topology/standards shape; concretize or amend one feature spec; reconcile specs and implementation both ways (vision-gated specs for undocumented behavior, backlog-deduplicated plan for unbuilt requirements); audit repo health; prioritize work; synthesize milestones; ideate from doctrine; run a recurring vision-pursuit; or accumulate and walk through independently vetted owner decisions. Triggers: "project shape", "bootstrap docs", "what should we work on next", "should we build this", "spec this feature", "the spec is wrong", "review this project", "audit the codebase", "does code match the spec", "reconcile spec vs implementation", "what's the next milestone", "brainstorm features", "run the vision pursuit", "relentlessly improve this project", "prepare decisions for me to review", "walk me through the blocked decisions", "collect owner signoffs".
tooluniverse-protein-structure-prediction
Predict and analyze protein 3D structure from amino acid sequence using ESMFold and AlphaFold. Covers de novo structure prediction (ESMFold for sequences up to ~800 residues), AlphaFold model retrieval, quality assessment (pLDDT scores), experimental structure comparison (RCSB), variant structural impact (ProtVar), and sequence physicochemical property calculation (ProtParam). Use when asked to predict protein structure from sequence, assess structure quality, compare predictions to experimental structures, or evaluate how mutations affect protein structure.
test-rigor
Use when judging or improving the quality of tests — whether they assert behavior, cover edge and failure paths, protect against regressions, and stay trustworthy — in a diff, test suite, or review; also suite-level health: tier structure (unit/component/integration), targeted runnability, per-test runtime cost, and growth control. Complements process skills like test-driven-development: this is the bar for what tests are worth, not when to write them.
tooluniverse-protein-modification-analysis
Analyze post-translational modifications (PTMs) of proteins — modification sites, types, proteoforms, functional effects at PTM sites, and PTM-dependent protein interactions. Integrates iPTMnet, ProtVar, UniProt, and STRING databases. Use when asked about protein phosphorylation, ubiquitination, acetylation, glycosylation, methylation, SUMOylation, or other PTMs; proteoform diversity; PTM-regulated interactions; or functional impact of PTM sites.
dup-name
Use when doing b-things.
dup-name
Use when doing a-things.
tooluniverse-precision-oncology
Provide actionable treatment recommendations for cancer patients based on molecular profile. Interprets tumor mutations, identifies FDA-approved therapies, finds resistance mechanisms, matches clinical trials. Use when oncologist asks about treatment options for specific mutations (EGFR, KRAS, BRAF, etc.), therapy resistance, or clinical trial eligibility.
broken-superskill
Use when exercising superskill audit checks against fixtures.
Broken_Skill
TODO fill this in later
tooluniverse-precision-medicine-stratification
Comprehensive patient stratification for precision medicine by integrating genomic, clinical, and therapeutic data. Given a disease/condition, genomic data (germline variants, somatic mutations, expression), and optional clinical parameters, performs multi-phase analysis covering disease disambiguation, genetic risk assessment, disease-specific molecular stratification, pharmacogenomic profiling, comorbidity/DDI risk, pathway analysis, clinical evidence and guideline mapping, clinical trial matching, and integrated outcome prediction. Generates a quantitative Precision Medicine Risk Score (0-100) with risk tier assignment, treatment algorithm, pharmacogenomic guidance, clinical trial matches, and monitoring plan.
skill-standards
Use when creating, updating, reviewing, or auditing a skill or superskill and you need a concrete quality bar for triggers, project grounding, metadata, authorship, routing, context efficiency, scripts, and validation.
tooluniverse-population-genetics-1000genomes
Population genetics research using the 1000 Genomes Project (IGSR) -- search populations by superpopulation ancestry (AFR, AMR, EAS, EUR, SAS), retrieve samples by population code, list available data collections, and integrate with GWAS tools for population stratification analysis. Use when users ask about 1000 Genomes populations, sample ancestry, allele frequency variation across continental groups, population-specific GWAS interpretation, or IGSR data collections like the 30x high-coverage resequencing or HGSVC.
tooluniverse-polygenic-risk-score
Build and interpret polygenic risk scores (PRS) for complex diseases using GWAS summary statistics. Calculates genetic risk profiles, interprets PRS percentiles, and assesses disease predisposition across conditions including type 2 diabetes, coronary artery disease, and Alzheimer's disease. Use when asked to calculate polygenic risk scores, interpret genetic risk for complex diseases, build custom PRS from GWAS data, or answer questions like "What is my genetic predisposition to breast cancer?"
tooluniverse-plant-genomics
Research plant genes, pathways, and species using PlantReactome, Ensembl Plants, POWO, UniProt, KEGG, and literature tools. Covers plant pathway analysis, gene function annotation, species identification, crop genomics, and comparative plant biology. Use when asked about plant genes, Arabidopsis, crop improvement, plant pathways, plant metabolism, photosynthesis, plant development, or plant species identification.