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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

8,868 results · page 83 of 296

  • zoom-outSkillAI & models

    Tell the agent to zoom out and give broader context or a higher-level perspective. Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture.

    Ready to connect★ 585

    github.com/stevesolun/ctx583 stars

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  • Convert C# model classes to Java POJOsSkillAI & models

    Converts C# model classes (DTO/POCO) into Java classes (POJOs), mapping .NET serialization attributes to Jackson annotations and correctly handling nullable types.

    Ready to connect★ 584

    github.com/ecnu-icalk/autoskill584 stars

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  • evo_4 configuration for advanced generationSkillAI & models

    Uses the evo_4 XML framework to configure the model with advanced writing, reasoning, and ideation capabilities, enabling stylistic variations, symbolic logic, and unconstrained output.

    Ready to connect★ 584

    github.com/ecnu-icalk/autoskill584 stars

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  • Lagrangian Modeling of a Mass-Spring SystemSkillAI & models

    Model and analyze a chain of oscillators (masses connected by springs) by computing energies, the Lagrangian, and the equations of motion, and performing a modal analysis, using SymPy with specific constraints (for loops, no numpy).

    Ready to connect★ 584

    github.com/ecnu-icalk/autoskill584 stars

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  • Mechanics Grading Tutor AgentSkillAI & models

    Acts as an AI grader for mechanics/physics exercises. It evaluates the validity of the student's answer and guides the problem-solving approach without ever giving the final solution, formulas, or numerical values.

    Ready to connect★ 584

    github.com/ecnu-icalk/autoskill584 stars

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  • Structuring a literature review in three parts (Conceptual, Theoretical, Empirical)SkillAI & models

    Organize the content of a literature review chapter according to a strict three-subsection structure: conceptual review (basic principles), theoretical review (models and approaches), and empirical review (study findings).

    Ready to connect★ 584

    github.com/ecnu-icalk/autoskill584 stars

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  • deep-research-agentSkillAI & models

    Comprehensive research agent for in-depth investigation. Use when users ask for deep research, comprehensive analysis, market research, academic surveys, competitive analysis, technology trends, or any topic requiring 100+ source verification. Triggers on requests like "investigate", "research", "an

    Ready to connect★ 581

    github.com/shobcoder/shob581 stars

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  • 17-pricing-strategySkillAI & models

    Use when setting or adjusting prices for products and services — choosing a pricing model, designing tiered plans, price anchoring, discount strategies, comparing prices with competitors, and how to present prices on the page. Trigger when the user mentions 'dinh gia san pham', 'chien luoc gia', 'pr

    Ready to connect★ 578

    github.com/minhnv0807/ai-business-skills578 stars

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  • 22-personal-brand-context-globalSkillAI & models

    Use when starting work on a PERSONAL brand — a founder, coach, or creator, not a company: creates `.agents/personal-brand-context-global.md` covering story, expertise, audience, positioning, platforms, visual identity, and the asset inventory of style refs, face refs, logo, palette, and background,

    Ready to connect★ 578

    github.com/minhnv0807/ai-business-skills578 stars

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  • 32-seo-growth-globalSkillAI & models

    Use when the user wants SEO growth, AI SEO, GEO/AEO, Google visibility, ChatGPT or Perplexity citations, schema, structured data, llms.txt, programmatic SEO, local SEO, comparison and alternative pages, directory submissions, Product Hunt, G2/Capterra, backlinks, or a site audit. Trigger on 'SEO aud

    Ready to connect★ 578

    github.com/minhnv0807/ai-business-skills578 stars

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  • 69-giu-chan-khach-hangSkillAI & models

    Build a customer retention system for Vietnamese SMEs — branch by business model first (one-time purchase / package plan / membership card / subscription), rewrite churn signal thresholds using data real SMEs actually have, intervention milestones before churn, churn-reason survey with a reason-to-o

    Ready to connect★ 578

    github.com/minhnv0807/ai-business-skills578 stars

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  • brandalfSkillAI & models

    Guides creation, revision, and review of Warp- or Oz-branded assets. Use when working on launch pages, docs, HTML/CSS components, UI mockups, prompts, social assets, copy, presentations, or any other branded deliverable that should look and sound unmistakably Warp or Oz.

    Ready to connect★ 578

    github.com/warpdotdev/common-skills519 stars

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  • councilSkillAI & models

    Run a model-diverse subagent council to investigate the same problem from multiple perspectives, compare findings, and produce a final recommendation. Use this skill whenever the user asks for a council, second opinions, multiple agents/models to evaluate one question, parallel investigation, red-te

    Ready to connect★ 578

    github.com/warpdotdev/common-skills519 stars

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  • cross-critiqueSkillAI & models

    Run a second round on a contested question by circulating each subagent's independent proposal to the other authors and asking for structured pros and cons, then synthesize. Use this skill whenever you have multiple independent proposals or opinions on a contested decision — architecture tradeoffs,

    Ready to connect★ 578

    github.com/warpdotdev/common-skills519 stars

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  • reproduce-bug-reportSkillAI & models

    Launch Oz cloud agents with computer use to reproduce UI-focused bug reports, capture visual evidence (a screen recording by default), and report reproduction findings. Use when investigating a specific interactive or visual bug from an issue, ticket, support report, or prompt.

    Ready to connect★ 578

    github.com/warpdotdev/common-skills519 stars

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  • sagaSkillAI & models

    Run an autonomous, spec-driven development "saga" for medium-to-large features using an orchestrator agent and a fleet of worker subagents. Use this skill whenever the user invokes /saga, asks to autonomously build a sizable feature end-to-end with minimal human intervention, wants a comprehensive s

    Ready to connect★ 578

    github.com/warpdotdev/common-skills519 stars

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  • skill-doctorSkillAI & models

    Grades agent skills by scoring agent conversations against efficiency and code-quality rubrics, then drafts concrete skill edits and a shareable report. Use when the user wants their agent setup graded from real conversation history, or asks which of their installed skills are actually working.

    Ready to connect★ 578

    github.com/warpdotdev/common-skills519 stars

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  • spec-driven-implementationSkillAI & models

    Drive a spec-first workflow for substantial features by writing PRODUCT.md before implementation, writing TECH.md when warranted, and keeping both specs updated as implementation evolves. Use when starting a significant feature, planning agent-driven implementation, or when the user wants product an

    Ready to connect★ 578

    github.com/warpdotdev/common-skills519 stars

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  • algorithmic-artSkillAI & models

    Create algorithmic art with p5.js featuring seeded randomness and interactive parameter exploration. Use this skill when the user asks to create art with code, generative art, algorithmic art, flow fields, or particle systems. Creates original algorithmic art rather than copying existing artists' wo

    Ready to connect★ 576

    github.com/leastbit/claude_skills_zh-cn572 stars

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  • calculatorSkillAI & models

    Performs arbitrary-precision arithmetic calculations including addition, subtraction, multiplication, division, and exponents. Use when the user asks to calculate, compute, or evaluate math expressions, or when precise decimal arithmetic is needed to avoid floating-point errors.

    Ready to connect★ 571

    github.com/code-and-sorts/awesome-copilot-agents571 stars

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  • data-modelSkillAI & models

    Add or update a dart_mappable data model in lib/src/models/content/, including adding format validation, regenerating code, and adding tests. Use when adding a new content type or modifying an existing model's fields.

    Ready to connect★ 568

    github.com/cfug/flutter.cn568 stars

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  • android-architectureSkillAI & models

    Apply Clean Architecture layering, modularization, and Unidirectional Data Flow in Android projects. Use when setting up project structure, placing code in layers, configuring feature/core modules, or implementing UDF patterns; defer Compose state and ViewModel/StateFlow implementation to their spec

    Ready to connect★ 565

    github.com/hoangnguyen0403/agent-skills-standard559 stars

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  • android-composeSkillAI & models

    Build high-performance declarative UI with Jetpack Compose. Use when writing Composable functions, optimizing recomposition, hoisting state, or working with LazyColumn and side effects; defer deep-link and navigation routing to android-navigation.

    Ready to connect★ 565

    github.com/hoangnguyen0403/agent-skills-standard559 stars

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  • android-compose-migrationSkillAI & models

    Migrate an Android XML View to Jetpack Compose following a structured 10-step workflow. Use when converting XML layouts to Compose, setting up Compose in an existing View-based project, or incrementally adopting Compose.

    Ready to connect★ 565

    github.com/hoangnguyen0403/agent-skills-standard559 stars

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  • android-diSkillAI & models

    Configure Hilt dependency injection with proper scoping, modules, and constructor injection in Android. Use when changing the production Hilt graph; defer test overrides, Room wiring, navigation-specific scopes, and generic DI explanations to their specific skills.

    Ready to connect★ 565

    github.com/hoangnguyen0403/agent-skills-standard559 stars

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  • android-edge-to-edgeSkillAI & models

    Migrate a Jetpack Compose app to edge-to-edge display and fix system bar inset issues. Use when UI components are obscured by navigation/status bars, fixing IME insets, or enabling edge-to-edge for SDK 35+.

    Ready to connect★ 565

    github.com/hoangnguyen0403/agent-skills-standard559 stars

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  • android-legacy-navigationSkillAI & models

    Implement Jetpack Navigation Component with XML graphs and SafeArgs for type-safe fragment navigation. Use when working with XML-based navigation or SafeArgs in legacy Android projects; defer drawer and other UI-chrome work to UI skills.

    Ready to connect★ 565

    github.com/hoangnguyen0403/agent-skills-standard559 stars

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  • android-navigation-3SkillAI & models

    Install and migrate to Jetpack Navigation 3. Use when implementing Navigation 3 patterns including NavDisplay, NavKey routes, deep links, multiple backstacks, scenes (dialogs, bottom sheets), or migrating from Navigation 2.

    Ready to connect★ 565

    github.com/hoangnguyen0403/agent-skills-standard559 stars

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  • android-navigation-type-safeSkillAI & models

    Implement type-safe Jetpack Navigation Compose routes using Kotlin serialization. Use only when defining typed Compose destinations and arguments; defer XML navigation, deep links, animations, and generic auth or bottom-navigation work.

    Ready to connect★ 565

    github.com/hoangnguyen0403/agent-skills-standard559 stars

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  • android-toolingSkillAI & models

    Configure Android static analysis with Detekt, Ktlint, and Android Lint for CI/CD quality gates. Use for Android-specific lint and quality tooling; defer generic Java Checkstyle, SonarQube, and standalone CI configuration.

    Ready to connect★ 565

    github.com/hoangnguyen0403/agent-skills-standard559 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.

53,585 of the 54,017 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