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.

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55,435 results · page 919 of 1,848

  • drug-complex-system-builderSkillDev tools

    Lets your agent set up a ready-to-run protein-ligand simulation system with water and ions for molecular dynamics.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • drug-db-chemblSkillDev tools

    Lets your agent look up drug targets, molecules, and bioactivity measurements from the ChEMBL database.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • drug-db-pdbSkillSearch

    Lets your agent search the Protein Data Bank for molecular structures and download their metadata and files.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • drug-db-pubchemSkillDev tools

    Lets your agent look up chemical compounds in PubChem, including properties, synonyms, and structure files.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • drug-docking-analysisSkillMonitoring & ops

    Lets your agent analyze virtual screening results with score distributions, enrichment metrics, and ligand efficiency calculations.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • drug-docking-vinaSkillProductivity

    Lets your agent dock small molecules into a protein and save ranked results for virtual screening.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • drug-ligand-prepSkillProductivity

    Lets your agent prepare small-molecule ligands for docking by generating 3D conformers and exporting SDF and PDBQT files.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • drug-mmpbsa-gbsaSkillAI & models

    Lets your agent estimate protein-ligand binding free energies from molecular dynamics trajectories.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • drug-molecular-fingerprintsSkillDev tools

    Lets your agent compute molecular fingerprints and similarity scores to compare small-molecule compounds.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • drug-pocket-detectionSkillMonitoring & ops

    Lets your agent find and rank potential drug-binding pockets on a protein structure, with scores and pocket details.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • drug-pose-validationSkillDev tools

    Lets your agent check drug molecule structures for physical plausibility and filter out invalid or clashing ones.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • drug-protein-ligand-mdSkillFiles & storage

    Lets your agent run a protein-ligand molecular dynamics simulation with OpenMM and produce trajectory files.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • drug-protein-prepSkillDev tools

    Lets your agent prepare protein structures from PDB files or IDs for docking and simulation by fixing issues and adding hydrogens.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • drug-redocking-rmsdSkillDev tools

    Lets your agent compute symmetry-corrected RMSD between docked ligand poses and a reference crystal structure.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • drug-retrosynthesisSkillDev tools

    Lets your agent predict how to chemically synthesize a molecule and whether it is easy to make.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • drug-trajectory-analysisSkillDev tools

    Lets your agent analyze molecular dynamics simulations to measure how a drug molecule stays bound to a protein over time.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • dueling-autoresearchSkillMonitoring & ops

    Lets your agent run two competing approaches on the same task and compare them on a shared metric.

    Ready to connect★ 172

    github.com/gaasher/agent-loop-skills172 stars

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  • essays-in-persuasion-keynesSkillDev tools

    Lets your agent analyze economic questions like austerity, inflation, and crises using Keynes's reasoning.

    Ready to connect★ 172

    github.com/simbajigege/book2skills172 stars

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  • exploratory-autoresearchSkillSearch

    Lets your agent run an autonomous machine-learning research loop that tries many diverse approaches instead of one.

    Ready to connect★ 172

    github.com/gaasher/agent-loop-skills172 stars

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  • folded-memory-implementationSkillDocs & knowledge

    Guides your agent through building a layered memory system that compresses older conversation history into compact facts.

    Ready to connect★ 172

    github.com/simbajigege/book2skills172 stars

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  • general-arxiv-searchSkillSearch

    Lets your agent search and retrieve research papers from ArXiv.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • general-biorxiv-searchSkillSearch

    Lets your agent search bioRxiv and medRxiv preprint databases and retrieve research paper details.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • general-chemical-literatureSkillDev tools

    Lets your agent look up research papers and patents linked to a specific chemical compound.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • general-chemical-pricingSkillDev tools

    Lets your agent look up average prices for chemical elements and compounds with vendor purchase links.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • general-deep-researchSkillDev tools

    Lets your agent run deep, iterative literature research on a materials or chemistry topic.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • general-fair-data-reviewSkillDev tools

    Lets your agent check a manuscript or code repo against FAIR data principles and return a pass/fail report with fix steps.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • general-patent-searchSkillSearch

    Lets your agent search patents by keyword, material name, or assignee using free Google Patents data.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • general-peer-reviewSkillProductivity

    Lets your agent critique research plans, manuscripts, or task summaries like a peer reviewer.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • general-plot-digitizerSkillMedia

    Lets your agent extract X-Y data points from plots and spectra in images, like Raman or XRD charts.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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  • general-presentationSkillDocs & knowledge

    Lets your agent create and refine PowerPoint presentations from simulation results.

    Ready to connect★ 172

    github.com/learningmatter-mit/atomisticskills158 stars

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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.

55,004 of the 55,435 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