Agent Skills
Instruction packs that give your AI agent know-how — some work anywhere, some only with the tool they came with.
✦ Standalone skills3,373
Self-contained. Install one into any project and it works on its own — no other software needed.
🧰 Tool add-ons952
Come bundled with a specific tool and only work together with it — they teach your agent how to operate that tool.
Development · Official
767 standalone skillsbindingdb-skill
✓★ 4,081by openai
Submit compact BindingDB REST API requests for ligand-target binding lookups by PDB, UniProt, or similarity search. Use when a user wants concise BindingDB summaries; save raw payloads only on request.
biobankjapan-phewas-skill
✓★ 4,081by openai
Fetch compact BioBank Japan PheWAS summaries for single variants by accepting rsID, GRCh38, or GRCh37 input and resolving to the required GRCh37 query. Use when a user wants concise BBJ association results for one variant
cellxgene-skill
✓★ 4,081by openai
Submit compact CELLxGENE Discover API requests for public collection and dataset metadata. Use when a user wants concise single-cell collection summaries
chembl-skill
✓★ 4,081by openai
Submit compact ChEMBL API requests for activity, molecule, target, mechanism, and text-search endpoints. Use when a user wants concise ChEMBL summaries
clinvar-variation-skill
✓★ 4,081by openai
Submit compact ClinVar Clinical Tables and NCBI Variation requests for search, VCV, RCV, SCV, and RefSNP lookups. Use when a user wants variant-level summaries or identifier mapping
encode-skill
✓★ 4,081by openai
Submit compact ENCODE REST API requests for object lookups, portal-style search, and metadata retrieval. Use when a user wants concise ENCODE summaries
ensembl-skill
✓★ 4,081by openai
Submit compact Ensembl REST API requests for lookup, overlap, cross-reference, and variation endpoints. Use when a user wants concise Ensembl summaries
epigraphdb-skill
✓★ 4,081by openai
Submit compact EpiGraphDB API requests for ontology, literature, MR, gene-drug, and support-path evidence. Use when a user wants concise EpiGraphDB summaries
finngen-phewas-skill
✓★ 4,081by openai
Fetch compact FinnGen PheWAS summaries for single variants by accepting rsID, GRCh37, or GRCh38 input and resolving to the required GRCh38 query. Use when a user wants concise FinnGen association results for one variant
game-ui-frontend
✓★ 4,081by openai
Design UI surfaces for browser games. Use when the user asks for HUDs, menus, overlays, responsive layouts, or visual direction that must protect the playfield.
genebass-gene-burden-skill
✓★ 4,081by openai
Submit compact Genebass gene burden requests for one Ensembl gene ID and one burden set. Use when a user wants concise Genebass PheWAS summaries
gnomad-graphql-skill
✓★ 4,081by openai
Submit compact gnomAD GraphQL requests for frequency, gene constraint, and variant context queries. Use when a user wants concise gnomAD summaries
locus-to-gene-mapper-skill
✓★ 4,081by openai
Map GWAS loci to ranked candidate genes using a deterministic multi-skill chain (EFO -> GWAS -> coordinates -> Open Targets L2G/coloc -> eQTL -> burden/coding context), with reproducible tables and optional figures. Use when a user provides a trait/EFO term and/or lead variants and needs locus-to-gene prioritization for downstream biology decisions.
mgnify-skill
✓★ 4,081by openai
Submit compact MGnify API requests for microbiome studies, samples, and biome metadata. Use when a user wants concise MGnify summaries
pharmgkb-skill
✓★ 4,081by openai
Submit compact PharmGKB API requests for genes, variants, clinical annotations, dosing guidelines, and search. Use when a user wants concise PharmGKB summaries
accessibility-and-inclusive-visualization
✓★ 4,081by openai
Make data visualizations accessible and inclusive. Use when the user needs chart or diagram accessibility guidance, text alternatives for complex visuals, color and contrast review, keyboard support, reduced-motion behavior for animation or parallax, or an accessibility QA workflow for exported figures, UML-like diagrams, and dashboards.
ai-sdk
✓★ 4,081by openai
Vercel AI SDK expert guidance. Use when building AI-powered features — chat interfaces, text generation, structured output, tool calling, agents, MCP integration, streaming, embeddings, reranking, image generation, or working with any LLM provider.
aiq-deploy
✓★ 4,081by openai
Use when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure.
aiq-research
✓★ 4,081by openai
Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.
docs-sync
✓★ 3,334by openai
Analyze main branch implementation and configuration to find missing, incorrect, or outdated documentation in docs/. Use when asked to audit doc coverage, sync docs with code, or propose doc updates/structure changes. Only update English docs (docs/src/content/docs/**) and never touch translated docs under docs/src/content/docs/ja, ko, or zh. Provide a report and ask for approval before editing docs.
final-release-review
✓★ 3,334by openai
Perform a release-readiness review by locating the previous release tag from remote tags and auditing the diff (e.g., v1.2.3...<commit>) for breaking changes, regressions, improvement opportunities, and risks before releasing openai-agents-js.
pnpm-upgrade
✓★ 3,334by openai
Keep pnpm current: run pnpm self-update/corepack prepare, align packageManager in package.json, and bump pnpm/action-setup + pinned pnpm versions in .github/workflows to the latest release. Use this when refreshing the pnpm toolchain manually or in automation.
openai-knowledge
✓★ 3,334by openai
Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.
test-coverage-improver
✓★ 3,334by openai
Improve test coverage in the OpenAI Agents JS monorepo: run `pnpm test:coverage`, inspect coverage artifacts, identify low-coverage files and branches, propose high-impact tests, and confirm with the user before writing tests.
csv-workbench
✓★ 3,334by openai
Analyze CSV files in /mnt/data and return concise numeric summaries.
maintainer-review
✓★ 3,334by openai
Review a GitHub issue or pull request URL as an openai-agents-js maintainer, with a staged assessment of whether the claim is real, practically important, already solvable with supported functionality, correctly scoped, better served by another design, and worth maintainer and contributor effort. Use when assessing issue validity or severity, deciding whether an issue should be prioritized or closed, determining whether a requested feature represents an unmet need rather than a discoverability o
invoice-total-fixer
✓★ 3,334by openai
Use when fixing invoice total calculations in the sandbox quickstart repository.
credit-note-fixer
✓★ 3,334by openai
Fix the tiny credit-note formatting bug and rerun the exact targeted test command.
hello-world
✓★ 2,713by github
A minimal skill example - use when learning the skill format
commit-message
✓★ 2,713by github
Generate conventional commit messages - use when creating commits, writing commit messages, or asking for git commit help