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
9,105 results · page 182 of 304
- View details
connections-optimizerSkillAI & models
Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-sign
Ready to connect★ 87
- View details
continuous-agent-loopSkillAI & models
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
Ready to connect★ 87
- View details
crosspostSkillAI & models
Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.
Ready to connect★ 87
- View details
csharp-testingSkillAI & models
C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.
Ready to connect★ 87
- View details
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
- View details
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
- View details
data-metabaseSkillAI & models
Automates Metabase cards, dashboards, Remote Sync, embedding, tenants, and the Agent API/MCP server for AI workflows. Use when scripting, promoting, or embedding Metabase content.
Ready to connect★ 87
- View details
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
- View details
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
- View details
dev-git-workflowSkillAI & models
Designs team Git workflows for branching, PRs, and releases. Use when choosing branching models, stacked PRs, merge queues, worktree isolation for agents, or collaboration rules.
Ready to connect★ 87
- View details
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
- View details
discuss-phaseSkillAI & models
Gather phase context through adaptive questioning before planning. Use --all to skip area selection and discuss all gray areas interactively. Use --auto to skip interactive questions (Claude picks recommended defaults). Use --chain for interactive discuss followed by automatic plan+execute. Use --po
Ready to connect★ 87
- View details
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
- View details
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
- View details
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
- View details
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
- View details
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
- View details
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
- View details
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
- View details
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
- View details
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
- View details
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
- View details
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
- View details
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
- View details
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
- View details
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
- View details
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
- View details
golang-patternsSkillAI & models
Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.
Ready to connect★ 87
- View details
hyper-cliSkillAI & models
Use the Hyper CLI to run Hyper marketing skills from a terminal. Use when the user wants to use `hyperai`, inspect live tool schemas, translate MCP tool names from a skill into CLI commands, switch connected accounts, or run marketing tools outside an MCP-native agent host.
Ready to connect★ 86
- View details
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
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.
55,111 of the 55,543 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.