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
9,019 results · page 125 of 301
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qa-device-managementSkillAI & models
Boot and control iOS Simulators and Android Emulators for QA testing using agent-device CLI. Manage sessions, capture screenshots, launch apps, and control devices across platforms. Invoke when user says "bring up simulators", "boot the device", "take a screenshot", "launch the app", "compare iOS an
Ready to connect★ 270
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qa-state-persistenceSkillAI & models
QA test skill for verifying UI state persistence across navigation. Tests that state changes (likes, bookmarks, cart items, form inputs) survive scrolling away and returning. Uses CDP + agent-device dual-driver architecture. Works with any React Native app that uses list-based feeds or scrollable co
Ready to connect★ 270
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upgrading-expoSkillAI & models
Guidelines for upgrading Expo SDK versions and fixing dependency issues
Ready to connect★ 270
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codely-git-conventional_commitSkillAI & models
Create a git commit following the team's Conventional Commit conventions. Use when the user asks to commit changes or create a commit.
Ready to connect★ 266
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codely-plan_phase-implementSkillAI & models
Implement one phase of the plan specified by the user. Only implements a single phase per invocation, then stops for user review. Never commits automatically.
Ready to connect★ 266
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codely-plan_phase-implement-githubSkillAI & models
Implement one phase of a plan stored as GitHub issues in the repository of the current working directory. Given the URL of a phase (child) issue it implements that phase; given the parent plan issue it finds and implements the current phase. Only implements a single phase per invocation, then stops
Ready to connect★ 266
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Code Review & QualitySkillAI & models
Five-axis code review for comprehensive quality assessment
Ready to connect★ 264
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Incremental ImplementationSkillAI & models
Build features in thin vertical slices with continuous verification
Ready to connect★ 264
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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, a project may lack the Locus package, named-pipe discovery is needed, C# must be executed, or Unity scripts must be recompiled.
Ready to connect★ 264
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Test-Driven DevelopmentSkillAI & models
Write tests before code using RED-GREEN-REFACTOR cycle
Ready to connect★ 264
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pwnSkillAI & models
Binary exploitation techniques, including stack overflows, heap exploitation, format strings, ROP chain construction, and kernel exploitation.
Ready to connect★ 263
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reverseSkillAI & models
Reverse engineering techniques, including ELF/PE binary analysis, unpacking, deobfuscation, Android reverse engineering, firmware analysis, and more.
Ready to connect★ 263
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spike-probeSkillAI & models
Internal harness probe for the OI-3 readability-guidance spike. Use only when explicitly told to invoke spike-probe. Verifies that a freshly-created project skill renders into a subagent's context via the Skill tool.
Ready to connect★ 263
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spring-ai-integrationSkillAI & models
Use when integrating LLMs, chat clients, embeddings, RAG pipelines, or AI agents into Spring Boot. Covers Spring AI ChatClient, prompt templates, embeddings, vector stores, and structured output. Use when user mentions Spring AI, LLM, ChatGPT, Claude, RAG, embeddings.
Ready to connect★ 263
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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
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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
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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
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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
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_templateSkillAI & models
Community collection of Apify agent skills for AI coding assistants
Ready to connect★ 252
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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★ 252
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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★ 252
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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★ 252
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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★ 252
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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★ 252
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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★ 252
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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★ 252
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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★ 252
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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★ 252
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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★ 252
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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★ 252
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.
54,764 of the 55,196 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.