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 124 of 297

  • locus-unity-bridgeSkillAI & models

    Use when an agent needs to inspect or control a real Unity Editor through Locus, especially when Unity MCP is unavailable, named-pipe discovery is needed, C# must be executed, or Unity scripts must be recompiled.

    Ready to connect★ 265

    github.com/misaka-mikoto-tech/agent-skills266 stars

    View details
  • Code Review & QualitySkillAI & models

    Five-axis code review for comprehensive quality assessment

    Ready to connect★ 264

    github.com/fdhhhdjd/class-ai-agent264 stars

    View details
  • Incremental ImplementationSkillAI & models

    Build features in thin vertical slices with continuous verification

    Ready to connect★ 264

    github.com/fdhhhdjd/class-ai-agent264 stars

    View details
  • li-commentSkillAI & models

    Write comments on other people's LinkedIn posts that read as a person with an opinion, not a bot. Use when the user pastes a post and wants a comment, says "comment on this", "engage with this", "what do I say here", or wants a batch of comments for their engagement round.

    Ready to connect★ 205

    github.com/jakeschincariol/linkedin-agent-skill264 stars

    View details
  • li-humanSkillAI & models

    Strip the machine fingerprint out of any draft - em dashes, AI slop words, invisible watermark characters - and score it against a five-check detection panel before it goes out. Use whenever text needs to sound human, when the user says humanize, "does this sound like AI", "remove the em dashes", "d

    Ready to connect★ 205

    github.com/jakeschincariol/linkedin-agent-skill264 stars

    View details
  • li-postSkillAI & models

    Write a LinkedIn post from a raw idea using 21 proven hook formulas, in the user's own voice, humanized so it does not read as AI. Use whenever the user wants a LinkedIn post, a hook, a draft for the feed, "post about X", "turn this into a LinkedIn post", or asks for hook options. Produces three hoo

    Ready to connect★ 205

    github.com/jakeschincariol/linkedin-agent-skill264 stars

    View details
  • li-profileSkillAI & models

    Score a LinkedIn profile out of 100 against a 12-part rubric and rewrite the parts that lose points - headline, about, experience, featured, banner. Use when the user says "optimize my profile", "score my LinkedIn", "rewrite my headline", "fix my about section", or pastes their profile and asks how

    Ready to connect★ 205

    github.com/jakeschincariol/linkedin-agent-skill264 stars

    View details
  • li-replySkillAI & models

    Handle the replies under the user's own LinkedIn posts - draft answers to every comment, sorted by which ones are worth answering. Use when the user pastes the comments on their post, says "reply to these", "handle my comments", "someone said X on my post", or is dealing with a critic or a lead in t

    Ready to connect★ 205

    github.com/jakeschincariol/linkedin-agent-skill264 stars

    View details
  • Test-Driven DevelopmentSkillAI & models

    Write tests before code using RED-GREEN-REFACTOR cycle

    Ready to connect★ 264

    github.com/fdhhhdjd/class-ai-agent264 stars

    View details
  • pwnSkillAI & models

    Binary exploitation techniques, including stack overflows, heap exploitation, format strings, ROP chain construction, and kernel exploitation.

    Ready to connect★ 262

    github.com/muwinds/buuctf_agent258 stars

    View details
  • reverseSkillAI & models

    Reverse engineering techniques, including ELF/PE binary analysis, unpacking, deobfuscation, Android reverse engineering, firmware analysis, and more.

    Ready to connect★ 262

    github.com/muwinds/buuctf_agent258 stars

    View details
  • personal-athlete-81-gridSkillAI & models

    Create a personal athlete 81-cell MandalArt grid from an Ohtani Shohei-style 64+8+1 model. Use when the user asks for 大谷翔平 81 宮格, 個人運動員81宮格, sports skill maps, athlete training Mandala charts, badminton 81 grids, or editable JSON/SVG/PNG-ready athlete development templates with Ohtani-style colors.

    Ready to connect★ 259

    github.com/twhsi/skills259 stars

    View details
  • mcp-engine-refactoringSkillAI & models

    Use when renaming, consolidating, restructuring, or batch-editing Power BI model objects that have downstream consumers — measure consolidation, table or column renames, splitting a flat table toward a star schema, moving repeated logic into calculation groups, or executing a model-quality remediati

    Ready to connect★ 256

    github.com/maxanatsko/mcp-engine-public255 stars

    View details
  • mcp-engine-semantic-authoringSkillAI & models

    Use when creating or updating measures, KPIs, calculation groups, DAX UDFs, named expressions, Power Query parameters, or model properties, when deciding between a measure and a calculated column, or when cleaning up naming, display folders, and semantic style. For one-off DAX queries, use mcp-engin

    Ready to connect★ 256

    github.com/maxanatsko/mcp-engine-public255 stars

    View details
  • mcp-engine-testing-changesSkillAI & models

    Use when creating or running model tests, applying test packs, capturing baselines or snapshots, exporting test results, checking dependency impact before a refactor, or using checkpoints, changesets, undo, redo, and rollback. For assessing overall model quality, use mcp-engine-model-quality; for au

    Ready to connect★ 256

    github.com/maxanatsko/mcp-engine-public255 stars

    View details
  • _templateSkillAI & models

    Community collection of Apify agent skills for AI coding assistants

    Ready to connect★ 253

    github.com/apify/awesome-skills255 stars

    View details
  • liter-llmSkillAI & models

    Universal LLM API client for 165 providers with native bindings for 14 languages. Use when writing code that calls LLM APIs via liter-llm in Python, TypeScript, Rust, Go, Java, C#, Ruby, PHP, Elixir, WASM, or C, when running the OpenAI-compatible proxy, or when calling LLMs through the MCP server. C

    Ready to connect★ 255

    github.com/xberg-io/liter-llm252 stars

    View details
  • running-the-proxySkillAI & models

    Use when running the `liter-llm api` OpenAI-compatible gateway — virtual keys, per-key rate limits, budgets, cost tracking, and model routing. Covers the TOML config and the 22 REST endpoints.

    Ready to connect★ 255

    github.com/xberg-io/liter-llm252 stars

    View details
  • streaming-responsesSkillAI & models

    Use when streaming tokens incrementally from an LLM via liter-llm over SSE or async iterators. Covers chat_stream, delta handling, and null-content chunks.

    Ready to connect★ 255

    github.com/xberg-io/liter-llm252 stars

    View details
  • tool-callingSkillAI & models

    Use when defining functions/tools for an LLM to call through liter-llm, or requesting structured JSON outputs. Covers tool schemas, tool_calls handling, and response formats.

    Ready to connect★ 255

    github.com/xberg-io/liter-llm252 stars

    View details
  • component-boundary-identifierSkillAI & models

    Identifies boundaries between modules or components in software systems through static code analysis and dependency detection. Use when Claude needs to analyze software architecture, identify module boundaries, detect boundary violations, find circular dependencies, or assess component coupling. Sup

    Ready to connect★ 251

    github.com/arabelatso/skills-4-se251 stars

    View details
  • counterexample-to-test-generatorSkillAI & models

    Automatically generates executable test cases from model checking counterexample traces. Translates abstract counterexample states and transitions into concrete test inputs, execution steps, and assertions that reproduce property violations. Use when working with model checker outputs (SPIN, CBMC, N

    Ready to connect★ 251

    github.com/arabelatso/skills-4-se251 stars

    View details
  • directed-test-input-generatorSkillAI & models

    Generate targeted test inputs to reach specific code paths and hard-to-reach behaviors in Python code. Use when: (1) Targeting uncovered branches or specific execution paths, (2) Need coverage-guided test generation, (3) Want to leverage LLM understanding of code semantics for meaningful test inputs

    Ready to connect★ 251

    github.com/arabelatso/skills-4-se251 stars

    View details
  • flaky-test-detectorSkillAI & models

    Identifies non-deterministic or unreliable tests through static code analysis and test result analysis. Use when Claude needs to find flaky tests, analyze test reliability, or investigate intermittent test failures. Supports Python (pytest, unittest) and Java (JUnit, TestNG) test frameworks. Trigger

    Ready to connect★ 251

    github.com/arabelatso/skills-4-se251 stars

    View details
  • imperative-to-coq-model-extractorSkillAI & models

    Extract abstract mathematical models from imperative code (C, C++, Python, Java, etc.) suitable for formal reasoning in Coq. Use when the user asks to model imperative code in Coq, create Coq specifications from imperative programs, extract mathematical models for verification, or translate imperati

    Ready to connect★ 251

    github.com/arabelatso/skills-4-se251 stars

    View details
  • incremental-python-programmerSkillAI & models

    Takes a Python repository and natural language feature description as input, implements the feature with proper code placement, generates comprehensive tests, and ensures all tests pass. Use when Claude needs to: (1) Add new features to existing Python projects, (2) Implement functions, classes, or

    Ready to connect★ 251

    github.com/arabelatso/skills-4-se251 stars

    View details
  • invariant-inferenceSkillAI & models

    Automatically infer loop invariants for code verification and correctness proofs. Use when analyzing loops to identify properties that hold throughout execution, generating assertions for verification, proving loop correctness, or documenting loop behavior. Supports Python, Java, C/C++, and language

    Ready to connect★ 251

    github.com/arabelatso/skills-4-se251 stars

    View details
  • model-guided-code-repairSkillAI & models

    Automatically repair code violations of temporal properties using model-checking counterexamples as guidance. Use when working with formal verification results, temporal logic property violations (LTL, CTL), model checking counterexamples, or when asked to repair property violations, fix counterexam

    Ready to connect★ 251

    github.com/arabelatso/skills-4-se251 stars

    View details
  • module-component-generatorSkillAI & models

    Generates complete modules and components from interface contracts and specifications. Use when Claude needs to build larger software components, implement interfaces, create service layers, or generate complete modules with multiple related classes. Supports Python (with type hints and protocols) a

    Ready to connect★ 251

    github.com/arabelatso/skills-4-se251 stars

    View details
  • program-to-model-extractorSkillAI & models

    Extract abstract mathematical models from functional code (Haskell, OCaml, F#) for formal reasoning in Isabelle/HOL. Use when users need to: (1) Convert functional programs to Isabelle definitions, (2) Extract high-level algorithm essence from implementation code, (3) Generate formal specifications

    Ready to connect★ 251

    github.com/arabelatso/skills-4-se251 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.

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