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

8,897 results · page 142 of 297

  • github-to-mcp-guideSkillAI & models

    Guide to converting GitHub repositories into MCP servers automatically. Extract tools from OpenAPI, GraphQL, and REST APIs for Claude Desktop, Cursor, Windsurf, Cline, and VS Code. AI-powered code generation creates type-safe TypeScript/Python MCP servers. Zero config — just paste a repo URL.

    Ready to connect★ 172

    github.com/nirholas/three.ws110 stars

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  • giza-zkml-visualizationSkillAI & models

    Giza ZKML Agent Visualization — guide covering key concepts, implementation patterns, and best practices.

    Ready to connect★ 172

    github.com/nirholas/three.ws110 stars

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  • magic-compactSkillAI & models

    Compact this Claude Code session.

    Ready to connect★ 172

    github.com/aerovato/magic-compact172 stars

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  • mcp-tool-discovery-guideSkillAI & models

    Guide to Lyra Tool Discovery — an AI-powered automation toolkit that discovers MCP servers for you. Point it at GitHub, npm, or configure custom discovery sources. Let GPT or Claude analyze APIs and generate ready-to-ship plugin configs. Zero manual work.

    Ready to connect★ 172

    github.com/nirholas/three.ws110 stars

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  • okx-ai-guideSkillAI & models

    OKX.AI (the Agent economic system) intro & onboarding entry. Use whenever the user asks what OKX.AI is, what it can do, how to use or get started with it, wants an OKX.AI tutorial / quickstart / help, or types the product name in any spelling / spacing / casing / typo variant (OKXAI, okx ai, okx-ai,

    Ready to connect★ 172

    github.com/nirholas/three.ws110 stars

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  • rig-a-modelSkillAI & models

    Auto-rig a static 3D GLB model into an animation-ready one. Use when you or the user have an existing GLB and want to rig it, add a skeleton, add bones, make it posable, or make it animatable — "rig this model", "add a skeleton to my GLB", "make this character animation-ready". Takes a GLB URL, adds

    Ready to connect★ 172

    github.com/nirholas/three.ws110 stars

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  • sperax-ecosystem-overviewSkillAI & models

    High-level overview of the Sperax ecosystem — USDs auto-yield stablecoin, SPA/veSPA governance, Sperax Farms, ERC-8004 on-chain agent identity, and SperaxOS AI Agent Workspace. Use when giving ecosystem overviews, comparing DeFi products, or explaining how Sperax components work together.

    Ready to connect★ 172

    github.com/nirholas/three.ws110 stars

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  • tip-jarSkillAI & models

    Let viewers send a USDC tip directly to the agent creator.

    Ready to connect★ 172

    github.com/nirholas/three.ws110 stars

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  • TrinitySkillAI & models

    Top-level capability summary of this agent

    Ready to connect★ 172

    github.com/nirholas/three.ws110 stars

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  • x402-gas-stationSkillAI & models

    Autonomous agent that spends money via x402 protocol to acquire premium data, like fueling up at a gas station.

    Ready to connect★ 172

    github.com/nirholas/three.ws110 stars

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  • config-syncSkillAI & models

    Sync configuration changes across the settings-opencode repo and live harness directories (OpenCode and Claude Code). Invoke when adding, updating, or removing agents, rules, hooks, commands, prompts, skills, or harness config. Keywords: "add agent", "change rule", "update skill", "modify config", "

    Ready to connect★ 171

    github.com/fmflurry/settings-opencode171 stars

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  • harness-paritySkillAI & models

    Use whenever you add, edit, rename, or delete any harness artifact — a skill, agent, command, rule, or instruction — in either .claude/ or .opencode/. Replicate the equivalent change in the other harness with the correct frontmatter and registration translation, so the two trees stay in parity.

    Ready to connect★ 171

    github.com/fmflurry/settings-opencode171 stars

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  • strategic-compactSkillAI & models

    Make compaction safe for fully autonomous multi-phase work. The agent prepares durable state so auto-compaction never requires user input and never breaks flow.

    Ready to connect★ 171

    github.com/fmflurry/settings-opencode171 stars

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  • wioSkillAI & models

    Testing workflow skill for finding high-value test candidates, writing focused tests, generating realistic workloads, reviewing test value, and diagnosing test-suite health. Use for prompts about what to test next, adding or improving tests, reviewing whether a test is worth keeping, low-signal or f

    Ready to connect★ 170

    github.com/workersio/skills171 stars

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  • blue-teamSkillAI & models

    Use when the user has concrete failing cases in code or a guardrail/classifier/filter/prompt/API they own — a red-team failure catalogue OR a CI/CD test-failure report (failing pytest/JUnit tests) — and wants the target patched until those failures are closed without breaking what already works. It

    Ready to connect★ 169

    github.com/gaasher/agent-loop-skills170 stars

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  • drug-mmpbsa-gbsaSkillAI & models

    Compute single-trajectory MM-GBSA and / or MM-PBSA binding free energy estimates from a protein-ligand MD trajectory. Two backends: a fast OpenMM GBn2 path (no extra dependencies) and an AmberTools MMPBSA.py path that supports both GB (multiple igb models) and Poisson-Boltzmann PB on the same trajec

    Ready to connect★ 170

    github.com/learningmatter-mit/atomisticskills158 stars

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  • hypothesis-genSkillAI & models

    Use when the user wants to generate and literature-vet a pool of novel, testable research hypotheses for a question or domain. A multi-agent loop: a Generator proposes candidate hypotheses, a LiteratureScout grounds each in real retrieved literature (already known? closest prior work? what gap does

    Ready to connect★ 169

    github.com/gaasher/agent-loop-skills170 stars

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  • mat-calphad-property-diagramSkillAI & models

    Calculate temperature-dependent thermodynamic properties like Equilibrium Phase Fractions for a specific alloy composition using CALPHAD models.

    Ready to connect★ 170

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-grand-canonical-mcSkillAI & models

    Run Grand Canonical Monte Carlo (GCMC) simulations with cluster expansion models to map composition-temperature phase diagrams via chemical potential sweeps.

    Ready to connect★ 170

    github.com/learningmatter-mit/atomisticskills158 stars

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  • ml-autoresearchSkillAI & models

    Use when the user wants an autonomous ML research loop that does more than blindly try changes. After every training run the agent analyses what actually happened inside the model — gradients, activations, embeddings, errors, data — and grounds the next change in that evidence. A `<literature>` on/o

    Ready to connect★ 169

    github.com/gaasher/agent-loop-skills170 stars

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  • ml-committee-uncertaintySkillAI & models

    Quantify prediction uncertainty of MACE MLIPs using committee (ensemble) models; flag high-uncertainty structures for DFT verification.

    Ready to connect★ 170

    github.com/learningmatter-mit/atomisticskills158 stars

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  • ml-foundation-potentialsSkillAI & models

    Guide for selecting the most appropriate foundation MLIP model based on simulation requirements.

    Ready to connect★ 170

    github.com/learningmatter-mit/atomisticskills158 stars

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  • ml-generative-aditSkillAI & models

    Generate novel crystal structures and molecules using ADiT (All-atom Diffusion Transformer), a unified latent diffusion model.

    Ready to connect★ 170

    github.com/learningmatter-mit/atomisticskills158 stars

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  • ml-generative-mattergenSkillAI & models

    Generate inorganic material structures using MatterGen, a diffusion-based generative model.

    Ready to connect★ 170

    github.com/learningmatter-mit/atomisticskills158 stars

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  • ml-mlip-nvalchemiSkillAI & models

    GPU-accelerated batched inference for MACE, MatGL (TensorNet/M3GNet/CHGNet), and FairChem MLIPs using NValchemi, enabling parallel static, relax, and MD workflows across multiple structures simultaneously.

    Ready to connect★ 170

    github.com/learningmatter-mit/atomisticskills158 stars

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  • ml-mlip-speedSkillAI & models

    Benchmark of inference speed of Machine Learning Interatomic Potentials (MLIPs).

    Ready to connect★ 170

    github.com/learningmatter-mit/atomisticskills158 stars

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  • ml-property-predict-scdSkillAI & models

    Train a model to predict custom properties of molecules or periodic materials using pretrained SelfConditionedDenoisingAtoms (SCD) foundation models.

    Ready to connect★ 170

    github.com/learningmatter-mit/atomisticskills158 stars

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  • plan-loopSkillAI & models

    Use when the user has a coding or engineering prompt and wants it refined into a detailed, executable plan before any code is written — the planning stage of a prompt → plan → execute → debug pipeline. It decomposes the prompt from first principles (objective, end state, environment, building blocks

    Ready to connect★ 169

    github.com/gaasher/agent-loop-skills170 stars

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  • power-analysisSkillAI & models

    Use when the user is planning a two-arm comparison (an A/B test, a simple RCT, a behavioral study, or a two-model/two-config evaluation) and needs to size it and preregister it before collecting data — finding the per-group sample size that hits target statistical power for the smallest effect worth

    Ready to connect★ 169

    github.com/gaasher/agent-loop-skills170 stars

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  • prompt-optimizeSkillAI & models

    Use when the user has a prompt that feeds a system they can already score, and wants that prompt automatically improved to raise the score against their own evaluation command. Makes one targeted quality edit per iteration — clarity, context, specificity, structure, examples, decomposition, guardrai

    Ready to connect★ 169

    github.com/gaasher/agent-loop-skills170 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.

53,788 of the 54,220 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