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

8,898 results · page 126 of 297

  • a-share-graph-networkSkillAI & models

    A-share graph neural network / relationship graph quantification. Triggered when the user says "图神经网络", "GNN", "graph network", "知识图谱", "关联图谱", "股票关系网络", or "供应链图谱". Uses cn-stock-data to fetch data and build stock relationship graphs and GNN models. Supports formal and brief output styles.

    Ready to connect★ 243

    github.com/aifinlab/finclaw233 stars

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  • a-share-lstm-forecastSkillAI & models

    A-share LSTM time-series forecasting / sequence modeling. Triggered when the user says "LSTM", "时序预测", "序列模型", "RNN预测", "GRU", "循环神经网络", or "LSTM预测股价". Fetches data via cn-stock-data and builds an LSTM time-series forecasting model. Supports both formal and brief output styles.

    Ready to connect★ 243

    github.com/aifinlab/finclaw233 stars

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  • a-share-ml-stock-predictSkillAI & models

    A-share ML stock price / return prediction. Triggered when the user says "ML预测", "机器学习预测", "股价预测", "收益率预测", "预测模型", or "ML选股". Fetches data via cn-stock-data and builds an ML prediction model. Supports both formal and brief output styles.

    Ready to connect★ 243

    github.com/aifinlab/finclaw233 stars

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  • a-share-model-riskSkillAI & models

    A-share model risk / backtest overfitting analysis. Triggers when the user says "模型风险", "model risk", "过拟合", "overfitting", "回测失真", "样本外失效", or "模型验证". Uses cn-stock-data to fetch data and evaluate overfitting and model risk in quantitative models. Supports both formal and brief output styles.

    Ready to connect★ 243

    github.com/aifinlab/finclaw233 stars

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  • a-share-optimal-executionSkillAI & models

    A-share optimal execution / Almgren-Chriss model. Triggered when the user says "最优执行", "optimal execution", "Almgren-Chriss", "执行优化", "最优拆单", or "execution frontier". Uses cn-stock-data to fetch data and solve for the optimal execution strategy. Supports formal/brief output styles.

    Ready to connect★ 243

    github.com/aifinlab/finclaw233 stars

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  • a-share-option-pricingSkillAI & models

    A-share option pricing / BSM model analysis. Triggered when the user says "期权定价" (option pricing), "BSM", "Black-Scholes", "期权估值" (option valuation), "理论价格" (theoretical price), "定价模型" (pricing model), or "二叉树定价" (binomial pricing). Uses cn-stock-data to fetch data and perform option pricing and val

    Ready to connect★ 243

    github.com/aifinlab/finclaw233 stars

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  • a-share-price-impact-modelSkillAI & models

    A-share price impact model / Kyle Lambda analysis. Triggers when the user says "价格冲击模型", "Kyle Lambda", "lambda", "冲击系数", "价格影响模型", or "订单流冲击". Fetches data via cn-stock-data and estimates price impact model parameters. Supports both formal and brief output styles.

    Ready to connect★ 243

    github.com/aifinlab/finclaw233 stars

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  • testdriver:agentSkillAI & models

    How the TestDriver agent behaves on GitHub issues, pull requests, and @mentions

    Ready to connect★ 243

    github.com/testdriverai/testdriverai243 stars

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  • testdriver:generating-testsSkillAI & models

    Generate tests by exploring your app with the AI vision agent

    Ready to connect★ 243

    github.com/testdriverai/testdriverai243 stars

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  • bioreason_proSkillAI & models

    Multimodal reasoning LLM for protein function prediction integrating protein embeddings with biological context to generate structured reasoning traces and functional annotations.

    Ready to connect★ 242

    github.com/lamm-mit/scienceclaw242 stars

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  • chaiSkillAI & models

    Use when predicting molecular structures (proteins, nucleic acids, small molecules, and complexes) with the Chai-1 foundation model via local inference or the Chai Discovery API.

    Ready to connect★ 242

    github.com/lamm-mit/scienceclaw242 stars

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  • conventions-mcpSkillAI & models

    Apply when adding or changing an MCP tool, a capability the CLI generates, a tool input or output schema, a tool description, an error envelope, or an agent-facing reference resource. Enforces contracts that language models can actually drive, measured by evals rather than by schema soundness.

    Ready to connect★ 242

    github.com/stella/stella234 stars

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  • dreamsSkillAI & models

    Agentic materials discovery and DFT simulation framework using ASE, Quantum ESPRESSO, and Claude LLMs via LangGraph.

    Ready to connect★ 242

    github.com/lamm-mit/scienceclaw242 stars

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  • fabricSkillAI & models

    Pattern-based analysis using Fabric's 242+ specialized prompts for summarizing papers and extracting insights

    Ready to connect★ 242

    github.com/lamm-mit/scienceclaw242 stars

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  • infiniteSkillAI & models

    Infinite platform integration for AI agent collaboration

    Ready to connect★ 242

    github.com/lamm-mit/scienceclaw242 stars

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  • investigation-plotterSkillAI & models

    Generate investigation-specific figures from the local artifact graph (post-run plotting agent).

    Ready to connect★ 242

    github.com/lamm-mit/scienceclaw242 stars

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  • rabbit-roundSkillAI & models

    Process one evidence-backed round of automated pull-request review comments from CodeRabbit, Gemini, Copilot, Devin, Greptile, and similar bots.

    Ready to connect★ 242

    github.com/stella/stella234 stars

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  • clawdbot-release-checkSkillAI & models

    Check for new OpenClaw releases and notify once per new version.

    Ready to connect★ 240

    github.com/jdrhyne/agent-skills240 stars

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  • context-recoverySkillAI & models

    Recover missing conversation context after explicit compaction or truncation, or when the user explicitly asks to recover prior work. Use for requests such as "where were we before compaction?" when the current thread is insufficient. Do not trigger on a generic "continue" when the current thread al

    Ready to connect★ 240

    github.com/jdrhyne/agent-skills240 stars

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  • cultivating-personasSkillAI & models

    Distills AI agent voice patterns from conversation into a Persona Voice Card v1.0 (self/user/language/register/emoji_policy/flourish only — no judgment-shaped fields), validates schema + content safety + differentiation, and routes contributions through the existing submission portal. Use when the u

    Ready to connect★ 239

    github.com/telagod/code-abyss240 stars

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  • doctrineSkillAI & models

    The operating doctrine, self-contained in this folder. Invoke BEFORE - delegating work to a subagent via the Agent tool (picking model tier, writing the dispatch prompt) or handling a subagent that failed (escalate/de-escalate); deciding whether to retry, escalate, switch approach, or ask the user;

    Ready to connect★ 239

    github.com/telagod/code-abyss240 stars

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  • gstackSkillAI & models

    Root gstack skill. Uses ~/.claude/skills/gstack/bin helpers.

    Ready to connect★ 239

    github.com/telagod/code-abyss240 stars

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  • hardwareSkillAI & models

    Electronics and embedded engineering judgment, distilled from a stronger model - invoke when CHOOSING components, MCUs, modules, or interfaces; designing or reviewing a circuit, power tree, or PCB; writing embedded firmware; debugging physical hardware (resets, noise, dead boards, flaky sensors); or

    Ready to connect★ 239

    github.com/telagod/code-abyss240 stars

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  • hickeySkillAI & models

    Evaluate code (especially LLM-generated) for structural simplicity using Rich Hickey's "Simple Made Easy" framework. Use this skill whenever reviewing a PR, diff, or code snippet for accidental complexity — particularly when the code was generated by an AI coding assistant and line-by-line review is

    Ready to connect★ 240

    github.com/srid/haskell-flake239 stars

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  • langfuse-integration-pageSkillAI & models

    Create a new Langfuse integration page in the langfuse-docs repo. Use this skill whenever the user wants to add, create, draft, or scaffold an integration page, cookbook, or docs page for a new tool/framework/model-provider/gateway in Langfuse — triggers include "new integration", "integration page"

    Ready to connect★ 240

    github.com/langfuse/langfuse-docs240 stars

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  • loop-engineeringSkillAI & models

    The engineering loop - select, advance, distill, deliver - for running a work session on a project. Invoke when STARTING a session or picking the next thing to work on; sizing a unit of work or matching it to your model tier; running long/autonomously and deciding pace or when to stop; deciding wher

    Ready to connect★ 239

    github.com/telagod/code-abyss240 stars

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  • missing-descriptionSkillAI & models

    Give your AI coding agent a personality. Composable persona + style + skills for Claude Code, Codex, Gemini CLI & OpenClaw. Ships Tech Persona Card v1.0 spec.

    Ready to connect★ 239

    github.com/telagod/code-abyss240 stars

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  • mueSkillAI & models

    Activate MUE — self-evolving AI agent. Type /mue to become MUE.

    Ready to connect★ 239

    github.com/korroai/mue-x240 stars

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  • munger-observerSkillAI & models

    Review a specific decision, plan, or artifact using bounded evidence, counterevidence, alternatives, opportunity cost, and verifiable next checks. Use for a "Munger review", decision review, premortem, or blind-spot review. Do not automatically scan history or assess a person's character, intent, or

    Ready to connect★ 240

    github.com/jdrhyne/agent-skills240 stars

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  • office-hoursSkillAI & models

    Office hours skill. Uses ~/.claude/skills/gstack/bin/gstack-config.

    Ready to connect★ 239

    github.com/telagod/code-abyss240 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.

53,789 of the 54,221 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