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
8,992 results · page 180 of 300
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cursor-webhooksSkillAI & models
Receive and verify Cursor Cloud Agent webhooks. Use when setting up Cursor webhook handlers, debugging signature verification, or handling Cloud Agent status change events (ERROR, FINISHED).
Ready to connect★ 87
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dart-flutter-patternsSkillAI & models
Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.
Ready to connect★ 87
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data-lake-platformSkillAI & models
Designs lakehouse platforms across Iceberg, Delta, Hudi, and Paimon. Use when choosing catalogs, CDC paths, query engines, governance, or cost controls.
Ready to connect★ 87
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data-streamingSkillAI & models
Designs streaming platforms for Kafka, Flink, CDC, and lakehouse ingestion. Use when planning event backbones, CDC pipelines, schema governance, or real-time lakehouse delivery.
Ready to connect★ 87
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dev-contribution-quality-analysisSkillAI & models
Analyzes commit and PR history to score contribution quality objectively. Use when building engineering scorecards, calibrating promotions, or measuring AI-assist impact.
Ready to connect★ 87
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dev-workflow-planningSkillAI & models
Plans complex development workflows for Claude Code, Codex, and assistants. Use when breaking features, refactors, migrations, or parallel work into verified steps.
Ready to connect★ 87
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django-tddSkillAI & models
Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.
Ready to connect★ 87
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docs-ai-prdSkillAI & models
Writes PRDs and specs optimized for coding assistants. Use when authoring requirements or project context for Claude Code, Cursor, Copilot, or Codex.
Ready to connect★ 87
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dog-foodSkillAI & models
Run an exhaustive parallel dogfooding sweep for a library, language, SDK, or runtime: send three independent agents to build the same ambitious application on different supported platforms, drive each app through its real automation surface, capture friction reports and minimal repros, consolidate e
Ready to connect★ 87
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dotnet-patternsSkillAI & models
Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.
Ready to connect★ 87
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explain-eli5SkillAI & models
Re-explain a concept as simply as possible, using plain language and analogies. Use when the learner is confused, says they don't get it, asks for a simpler explanation, or asks to explain something "like I'm five".
Ready to connect★ 87
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foundations-causal-inferenceSkillAI & models
Causal-inference primitives: DAGs, IV, RDD, DiD, synthetic control, propensity, CATE, interference. Use when attributing confounded impact or rollout and LLM-eval confounding.
Ready to connect★ 87
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foundations-control-theorySkillAI & models
Control-theory primitives for PID, MPC, Kalman, stability, anti-windup, dead-time, breakers, and limits. Use when tuning autoscaling, retries, or agent loops.
Ready to connect★ 87
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foundations-cybernetics-vsmSkillAI & models
Applies Beer's VSM and Ashby's Law to diagnose org or agent-system viability. Use when a team or agent hierarchy has coordination, escalation, or requisite-variety problems.
Ready to connect★ 87
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foundations-decision-theorySkillAI & models
Decision-theory primitives for uncertain choices, utility, Bayesian decisions, regret, value of information, MCDA, options, and bandits. Use when choosing under uncertainty.
Ready to connect★ 87
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foundations-distributed-systemsSkillAI & models
Distributed-systems primitives for CAP/PACELC, FLP, Paxos, Raft, clocks, CRDTs, leases, quorums, and broadcast protocols. Use when designing coordination.
Ready to connect★ 87
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foundations-grounding-communicationSkillAI & models
Grounding-theory primitives for human-AI and agent handoffs, common ground, acceptance evidence, repair, and ambiguity. Use when coordinating meaning.
Ready to connect★ 87
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foundations-information-theorySkillAI & models
Information-theory primitives for AI systems, entropy, mutual information, KL, compression, channel limits, MDL, bottlenecks, and signal quality. Use when quantifying information.
Ready to connect★ 87
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foundations-network-scienceSkillAI & models
Network-science primitives for graph systems, centrality, PageRank, communities, contagion, link prediction, and temporal networks. Use when analyzing graph structure.
Ready to connect★ 87
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foundations-reliability-theorySkillAI & models
Reliability-theory primitives for MTBF/MTTR, availability, hazards, FMEA, redundancy, error budgets, Weibull analysis, and SLOs. Use when modeling failure.
Ready to connect★ 87
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foundations-team-theorySkillAI & models
Team-theory primitives for cooperative multi-agent decisions, subagent allocation, communication value, Dec-POMDPs, and decentralized control. Use when organizing agents.
Ready to connect★ 87
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gamedev-godotSkillAI & models
Creates Godot games from empty project to exported build. Use when starting, building, validating, or shipping a Godot 2D/3D game or app.
Ready to connect★ 87
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gamedev-robloxSkillAI & models
Creates Roblox experiences from empty Studio place to published world. Use when starting, building, validating, or shipping a Roblox game.
Ready to connect★ 87
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golang-patternsSkillAI & models
Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.
Ready to connect★ 87
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kotlin-coroutines-flowsSkillAI & models
Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operators, StateFlow, error handling, and testing.
Ready to connect★ 87
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kotlin-testingSkillAI & models
Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.
Ready to connect★ 87
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laravel-patternsSkillAI & models
Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.
Ready to connect★ 87
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nestjs-patternsSkillAI & models
NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.
Ready to connect★ 87
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nextjs-turbopackSkillAI & models
Next.js 16+ and Turbopack — incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.
Ready to connect★ 87
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nuxt4-patternsSkillAI & models
Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.
Ready to connect★ 87
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.
54,624 of the 55,055 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.