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 179 of 300
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agents-swarm-orchestrationSkillAI & models
Coordinates multi-agent execution across subagents, teams, and workflows. Use when planning dependency-aware fan-out, verifier passes, runtime selection, or Loop Engineering.
Ready to connect★ 87
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ai-architecture-advisorSkillAI & models
Chooses among AI/ML approaches: classical ML, LLM, RAG, fine-tuning, agents, multimodal, embeddings/recsys, dense/MoE/SSM/diffusion. Use when picking or scaling an architecture.
Ready to connect★ 87
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ai-coding-agents-command-runtimeSkillAI & models
Designs slash-command runtimes for coding-agent CLIs. Use when modeling command registries, lazy loading, aliases, forked commands, or remote-safe dispatch.
Ready to connect★ 87
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ai-coding-agents-pluginsSkillAI & models
Designs plugin systems for coding-agent runtimes and CLIs. Use when adding plugin manifests, extension points, built-in plugins, or reloadable agent integrations.
Ready to connect★ 87
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ai-coding-agents-provider-runtimeSkillAI & models
Designs provider runtimes for coding agents. Use when modeling model abstraction, streaming semantics, tool-call normalization, retries, or fallback routing.
Ready to connect★ 87
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ai-coding-agents-remote-runtimeSkillAI & models
Designs remote execution and bridge runtimes for coding agents. Use when implementing remote sessions, local-UI remote-execution, reconnect logic, or permission bridging.
Ready to connect★ 87
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ai-coding-agents-sessionsSkillAI & models
Designs session lifecycle for coding-agent runtimes. Use when implementing resume, transcript restoration, checkpoint rewind, cross-worktree recovery, or session-state persistence.
Ready to connect★ 87
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ai-coding-agents-settings-policySkillAI & models
Designs settings and policy layers for coding-agent runtimes. Use when modeling source precedence, managed policy, env controls, or runtime settings validation.
Ready to connect★ 87
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ai-data-curation-pretrainingSkillAI & models
Builds and audits LLM pretraining corpora: extraction, filtering, dedup, decontamination, data mixing, synthetic data. Use when curating or ablating a pretraining data pipeline.
Ready to connect★ 87
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ai-deep-researchSkillAI & models
Builds repeatable deep-research workflows for verified synthesis. Use when producing evidence-backed briefs, comparisons, dossiers, or research pipelines.
Ready to connect★ 87
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ai-distributed-trainingSkillAI & models
Guides multi-GPU pre-training: DDP, FSDP2, ZeRO, tensor/pipeline/expert parallelism, fp8/Muon. Use when scaling a run, training MoE, or reproducing GPT-2 on rented GPUs.
Ready to connect★ 87
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ai-evalsSkillAI & models
Designs trustworthy LLM, agent, responsible-AI, and multimodal evaluations. Use when measuring quality, fairness, privacy, grounding, safety, or judge reliability.
Ready to connect★ 87
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ai-llm-inferenceSkillAI & models
LLM inference patterns for latency, batching, caching, quantization, routing, and serving stacks. Use when optimizing throughput, tail latency, or serving cost.
Ready to connect★ 87
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ai-ml-timeseriesSkillAI & models
Time-series forecasting with temporal validation, panel models, probabilistic forecasts, and TS foundation models. Use when modeling ordered observations.
Ready to connect★ 87
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ai-post-trainingSkillAI & models
Post-training and alignment: reward modeling, RLHF/PPO, DPO/DAAs, GRPO, RLVR, RLAIF, over-optimization. Use when adapting an SFT model with preference or verifiable-reward signals.
Ready to connect★ 87
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ai-pretrainingSkillAI & models
Builds a transformer/GPT and BPE tokenizer from scratch. Use when implementing autograd, self-attention, a nanoGPT-style pretraining loop, or a byte-level tokenizer.
Ready to connect★ 87
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ai-product-operating-modelSkillAI & models
Designs operating models for AI in product teams. Use when planning platform ownership, provider strategy, data boundaries, evals, or sensitive-data controls.
Ready to connect★ 87
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ai-scaling-lawsSkillAI & models
Sizes models and token budgets using Kaplan/Chinchilla scaling laws. Use when reasoning about compute-optimal N and D, tokens-per-parameter ratios, or over-training tradeoffs.
Ready to connect★ 87
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akeneo-webhooksSkillAI & models
Receive and verify Akeneo PIM (Events API) webhooks. Use when setting up Akeneo webhook handlers, debugging x-akeneo-request-signature verification, or handling batched product and product-model events like product.created, product.updated, product.removed, product_model.created, product_model.updat
Ready to connect★ 87
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android-clean-architectureSkillAI & models
Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns.
Ready to connect★ 87
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article-writingSkillAI & models
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibili
Ready to connect★ 87
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benchmarkSkillAI & models
Performance baseline measurement and regression detection
Ready to connect★ 87
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build-alongSkillAI & models
Guide the learner through a hands-on exercise step by step, having them do the work rather than watching. Use when the learner wants to practice, build something, do the exercise, or learn by doing for a module.
Ready to connect★ 87
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claude-managed-agents-webhooksSkillAI & models
Receive and verify Anthropic Claude Managed Agents (CMA) webhooks. Use when setting up Claude Managed Agents webhook handlers, debugging signature verification, or handling agent session and vault events like session.status_idled, session.status_terminated, session.thread_created, vault.created, or
Ready to connect★ 87
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completion-gateSkillAI & models
Validates agent claims against evidence trail. Use when verifying an agent has actually done what it claims — auto-fires at workflow end. Catches 'done' without proof, 'tests pass' without output, 'fixed' without verification. Called by cook and team.
Ready to connect★ 87
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compose-multiplatform-patternsSkillAI & models
Compose Multiplatform and Jetpack Compose patterns for KMP projects — state management, navigation, theming, performance, and platform-specific UI.
Ready to connect★ 87
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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
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continuous-agent-loopSkillAI & models
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
Ready to connect★ 87
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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
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csharp-testingSkillAI & models
C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.
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.