Skills.

Give your AI a better way to work.

A skill is a set of written instructions that teaches an AI how to do one job the way it should be done: review a pull request, plan a migration, write the release notes.

Install one here and it travels with your account into Claude, Claude Code, Cursor and every other client you sign in with.

Category: AI & models

9,019 results · page 143 of 301

  • ribo-seqSkillAI & models

    Workflow for ribosome profiling, P-site aware preprocessing, periodicity checks, ORF detection, and translation efficiency analysis.

    Ready to connect★ 178

    github.com/biotender-max/awesome-bio-agent-skills178 stars

    View details
  • rna-quantificationSkillAI & models

    Workflow for gene and transcript quantification from RNA-seq reads using alignment-based or alignment-free tools.

    Ready to connect★ 178

    github.com/biotender-max/awesome-bio-agent-skills178 stars

    View details
  • scrna-preprocessing-clusteringSkillAI & models

    Standard scRNA-seq preprocessing and clustering with Scanpy. Use for QC, normalization, HVG selection, PCA, neighbor graph construction, UMAP, Leiden clustering, and export of an analysis-ready AnnData object.

    Ready to connect★ 178

    github.com/biotender-max/awesome-bio-agent-skills178 stars

    View details
  • small-rna-seqSkillAI & models

    Workflow for small RNA and miRNA preprocessing, quantification, differential analysis, and target-oriented interpretation.

    Ready to connect★ 178

    github.com/biotender-max/awesome-bio-agent-skills178 stars

    View details
  • spatial-transcriptomicsSkillAI & models

    Workflow for spatial transcriptomics preprocessing, domain detection, deconvolution, neighborhood analysis, and publication-ready maps.

    Ready to connect★ 178

    github.com/biotender-max/awesome-bio-agent-skills178 stars

    View details
  • spr-bli-binding-characterizationSkillAI & models

    SPR and BLI assay planning, kinetic interpretation, and troubleshooting guidance. Use when: (1) Planning binding kinetics experiments, (2) Troubleshooting poor/no binding signal, (3) Interpreting kinetic data artifacts, (4) Choosing between SPR vs BLI platforms.

    Ready to connect★ 178

    github.com/biotender-max/awesome-bio-agent-skills178 stars

    View details
  • structural-biologySkillAI & models

    Structure retrieval, confidence-aware AlphaFold DB usage, coordinate download, PAE and pLDDT interpretation, and structure-guided biological annotation.

    Ready to connect★ 178

    github.com/biotender-max/awesome-bio-agent-skills178 stars

    View details
  • system-composerSkillAI & models

    Use this skill when authoring reusable, idempotent MATLAB scripts that build System Composer architecture models via the architecture-modeling API — `systemcomposer.createModel`, `addComponent`, `addPort`, `setInterface`, `connect(srcPort, dstPort)`, interface dictionaries (.sldd) with `addInterface

    Ready to connect★ 178

    github.com/matlab/agent-skills-playground178 stars

    View details
  • systems-biologySkillAI & models

    Workflow for constraint-based metabolic modeling, context-specific models, gene essentiality, and systems-level interpretation.

    Ready to connect★ 178

    github.com/biotender-max/awesome-bio-agent-skills178 stars

    View details
  • trajectory-lineageSkillAI & models

    Workflow for pseudotime, lineage branching, and state-transition analysis in single-cell data.

    Ready to connect★ 178

    github.com/biotender-max/awesome-bio-agent-skills178 stars

    View details
  • uniprotSkillAI & models

    Access UniProt for protein sequence and annotation retrieval. Use this skill when: (1) Looking up protein sequences by accession, (2) Finding functional annotations, (3) Getting domain boundaries, (4) Finding homologs and variants, (5) Cross-referencing to PDB structures.

    Ready to connect★ 178

    github.com/biotender-max/awesome-bio-agent-skills178 stars

    View details
  • variant-callingSkillAI & models

    Workflow for small-variant and structural-variant discovery, filtering, annotation, and interpretation from sequencing data.

    Ready to connect★ 178

    github.com/biotender-max/awesome-bio-agent-skills178 stars

    View details
  • workflow-managementSkillAI & models

    Workflow for orchestrating reproducible omics pipelines with workflow engines and clear execution provenance.

    Ready to connect★ 178

    github.com/biotender-max/awesome-bio-agent-skills178 stars

    View details
  • canon-tddSkillAI & models

    Implement features and fix bugs test-first, the Canon TDD way (test list → one test → make it pass → refactor → repeat). Use when implementing any new feature, endpoint, model, or method, fixing a bug, or executing a plan — write the test list and a failing test BEFORE production code.

    Ready to connect★ 176

    github.com/adamayoung/tmdb177 stars

    View details
  • deliverSkillAI & models

    Take a plan all the way to a ready-to-merge pull request — review the plan (scaled to risk), implement it test-first, code-review and fix, run the CI gate, open the PR, and watch it green. Use after you have an approved plan (from plan mode, or the Plan agent); pass `issue <n>` to deliver a specific

    Ready to connect★ 176

    github.com/adamayoung/tmdb177 stars

    View details
  • fix-pr-checksSkillAI & models

    Fix the currently-failing status checks on the current branch's PR in one sweep — route each failing check to the right diagnosis skill (via a Haiku subagent, escalating to Opus on a repeat failure), apply and verify the fix, commit, and push once — then return a summary. Use standalone when CI is r

    Ready to connect★ 176

    github.com/adamayoung/tmdb177 stars

    View details
  • integration-testSkillAI & models

    Run the TMDb integration tests against the live TMDb API (the Integration test plan; requires TMDB_API_KEY/USERNAME/PASSWORD). Use before a PR, or after model/fixture changes, to validate against real API responses — delegates to the tooling-runner agent (Haiku) and returns counts + failures, distin

    Ready to connect★ 176

    github.com/adamayoung/tmdb177 stars

    View details
  • review-changesSkillAI & models

    Review the working-tree changes (vs main) for correctness, concurrency, architecture, testing, and API/doc issues — following .github/CODE_REVIEW.md — and return a severity-graded report. Scales the machinery to the diff size: a single code-reviewer agent for a small change, or a fan-out-and-verify

    Ready to connect★ 176

    github.com/adamayoung/tmdb177 stars

    View details
  • review-knowledgeSkillAI & models

    Audit the knowledge/ base and the .claude/ skills, agents and workflows for staleness, self-contradiction, and drift from their own stated rules — four independent adversarial auditors (two lenses over two trees) verify every load-bearing claim against the current tree, cross-examine each other with

    Ready to connect★ 176

    github.com/adamayoung/tmdb177 stars

    View details
  • beam-conceptsSkillAI & models

    Explains core Apache Beam programming model concepts including PCollections, PTransforms, Pipelines, and Runners. Use when learning Beam fundamentals or explaining pipeline concepts.

    Ready to connect★ 175

    github.com/kilo-org/kilo-marketplace173 stars

    View details
  • bootstrapping-agentSkillAI & models

    Wires up an Airbyte connector for use in a PydanticAI or Claude SDK agent. Generates auth config, connector initialization, and tool_utils-decorated tool function. Use when adding a connector to an agent or setting up a new agent with a connector.

    Ready to connect★ 175

    github.com/kilo-org/kilo-marketplace173 stars

    View details
  • cesiumjs-entitiesSkillAI & models

    CesiumJS entities and data sources - Entity, EntityCollection, DataSource, GeoJsonDataSource, KmlDataSource, CzmlDataSource, Graphics types, PathGraphics, PathMode, Visualizers. Use when adding points, labels, models, polygons, polylines, or time-segmented paths, loading GeoJSON/KML/CZML/GPX data, o

    Ready to connect★ 175

    github.com/cesiumgs/cesiumjs-skills175 stars

    View details
  • cesiumjs-spatial-mathSkillAI & models

    CesiumJS spatial math - Cartesian3, Cartographic, Matrix4, Quaternion, Transforms, Ellipsoid, BoundingSphere, projections, coordinate conversions. Use when converting between coordinate systems, computing positions on the ellipsoid, performing spatial intersection tests, building model matrices, or

    Ready to connect★ 175

    github.com/cesiumgs/cesiumjs-skills175 stars

    View details
  • gemini-apiSkillAI & models

    Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like multimodal inpu

    Ready to connect★ 175

    github.com/kilo-org/kilo-marketplace173 stars

    View details
  • mlflow-onboardingSkillAI & models

    Onboards users to MLflow by determining their use case (GenAI agents/apps or traditional ML/deep learning) and guiding them through relevant quickstart tutorials and initial integration. If an experiment ID is available, it should be supplied as input to help determine the use case. Use when the use

    Ready to connect★ 175

    github.com/kilo-org/kilo-marketplace173 stars

    View details
  • powerbi-mcpSkillAI & models

    Safety and governance protocol for Power BI semantic model sessions via MCP. Use when working with DAX, TMDL, tabular models, Analysis Services, or Power BI Desktop. Enforces approval gates, tier-based action classification, and scope boundaries.

    Ready to connect★ 175

    github.com/kilo-org/kilo-marketplace173 stars

    View details
  • trace-mcpSkillAI & models

    Use trace-mcp tools for code navigation, impact analysis, and framework-aware queries instead of Read/Grep/Glob/Bash. Activate whenever the agent needs to explore, understand, or modify a codebase that has trace-mcp indexed.

    Ready to connect★ 175

    github.com/nikolai-vysotskyi/trace-mcp175 stars

    View details
  • rulphSkillAI & models

    Iterative rubric-based evaluation and self-improvement loop. Builds a scoring rubric interactively, evaluates an artifact with multiple models in parallel (Codex, Gemini, Claude), then autonomously improves the artifact one criterion at a time until a score threshold is met or circuit breaker fires.

    Ready to connect★ 174

    github.com/team-attention/hoyeon174 stars

    View details
  • tribunalSkillAI & models

    This skill should be used when the user says "/tribunal", "tribunal", "review this", "3-way review", "risk-value-feasibility check", or wants multi-perspective adversarial review. Also triggered by: "트리뷰널", "리뷰 해줘", "3관점 리뷰", "위험성 검토". Runs 3 agents (Risk/Value/Feasibility) in parallel and synthesiz

    Ready to connect★ 174

    github.com/team-attention/hoyeon174 stars

    View details
  • he-vs-shared-buildSkillAI & models

    Reuse a specific Visual Studio Open Folder CMake directory only when the user explicitly asks for VS handoff or shared build artifacts; never use it as the default Agent validation path.

    Ready to connect★ 173

    github.com/hebohang/hengine145 stars

    View details

What is a skill?

A skill is plain text, usually a SKILL.md file and the scripts it refers to, written for an AI rather than for a person. It carries the steps, the house rules and the examples a good answer needs, so you stop pasting the same briefing into every new chat.

54,764 of the 55,196 skills listed here can be served through ahel today, and they come from public repositories. Each one has its own page with the instructions themselves on it, so you can read what a skill will tell your AI to do before you install it.

Install one and every AI you use gets it

Installing a skill adds it to your gateway and turns it on in the same step. Claude Code surfaces it as a slash command; any client can read the full instructions with the skill_read tool.

Nothing is copied into a project folder. The instructions are served from your account, so the same skill is there in every AI you connect, and turning it off removes it from all of them at once.

See how to connect your AI