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
8,868 results · page 272 of 296
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resumeSkillAI & models
Use when writing or tailoring a CV or resume. Covers evidence over adjectives, tailoring to a specific role without lying, structure, and the specific patterns that get a resume discarded.
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rustSkillAI & models
Use when writing Rust or resolving borrow-checker, lifetime, and trait errors. Covers ownership models, error handling with thiserror and anyhow, async with Tokio, and safe abstractions over unsafe code.
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rust-error-handlingSkillAI & models
Use when designing Rust error handling — thiserror vs anyhow, typed error enums, #[from] conversions, or recoverable errors vs panics. Not for ownership/borrowing (rust-core-language).
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rust-testing-qualitySkillAI & models
Use when writing, organizing, or running Rust tests — unit, integration, doc-tests, proptest, criterion benchmarks, or cargo-mutants. Not for CI pipeline wiring (rust-tooling-cicd).
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rust-tooling-cicdSkillAI & models
Use when structuring a Cargo workspace or building a Rust CI pipeline — fmt, clippy, cargo-deny/audit, nextest, coverage, MSRV. Not for writing the tests themselves (rust-testing-quality).
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seo-entitySkillAI & models
Use when optimizing entity-based / semantic SEO — Knowledge Graph resolution, salience scoring, about/sameAs/knowsAbout schema.
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seo-featured-snippetsSkillAI & models
Use when optimizing for position 0 featured snippets and AI Overviews with format-specific HTML recipes.
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seo-internal-linkingSkillAI & models
Use when designing or auditing internal linking strategy — pillar/cluster architecture, anchors, orphan pages.
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seo-redirectsSkillAI & models
Use when planning redirects or a site migration — status codes, link equity, redirect chains.
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shadcn-detectionSkillAI & models
Use when determining which primitive (Radix UI or Base UI) a shadcn/ui project uses, before any component work or migration.
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shadcn-migrationSkillAI & models
Use when migrating a shadcn/ui project between Radix UI and Base UI primitives, or validating a migration's API transformations.
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shadcn-registriesSkillAI & models
Use when configuring shadcn/ui registries, components.json, or CLI add/init commands.
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shellSkillAI & models
Use when writing Bash scripts or command-line automation. Covers strict mode, safe quoting, argument parsing, trap-based cleanup, portability, and ShellCheck-clean scripts.
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site-reliabilitySkillAI & models
Use when establishing reliability practice. Covers SLOs and error budgets, capacity planning, graceful degradation, load shedding, retry and timeout policy, and the arithmetic of availability.
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slash-commandsSkillAI & models
Use when creating reusable slash commands for an agent. Covers when a command beats a skill, argument handling, composing tool calls, and writing commands that are worth typing.
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sniper-checkSkillAI & models
Use when validating code quality after modifications. Runs sniper agent in isolated forked context for clean, fast validation.
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sparkSkillAI & models
Use when building distributed data pipelines with Apache Spark. Covers partitioning, shuffles, skew, joins, caching, and reading the Spark UI to find why a job is slow.
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spring-bootSkillAI & models
Use when building Spring Boot services. Covers dependency injection, transaction boundaries, JPA performance, configuration, validation, and testing slices.
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subagentsSkillAI & models
Use when delegating work to a separate agent with its own context. Covers when delegation pays off, designing a subagent's scope and prompt, parallel fan-out, and the cost of a cold start.
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supply-chainSkillAI & models
Use when assessing dependency and build-pipeline risk. Covers dependency vetting, lockfiles, SBOMs, provenance and signing, pinning CI actions, and responding to a compromised package.
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technical-analysisSkillAI & models
Use when analyzing price and volume structure. Covers trend identification, support and resistance, volume confirmation, moving-average structure, and the limits of what chart analysis can tell you.
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temporary_waiver_auditSkillAI & models
PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents
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test-strategySkillAI & models
Use when deciding what to test and at which level. Covers the test pyramid, what belongs in unit versus integration versus end-to-end tests, coverage as a signal rather than a target, and eliminating flakiness.
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themingSkillAI & models
Use when building a theme or theming system for an interface. Covers token architecture, dark mode, contrast preservation across themes, and generating a coherent palette from a seed colour.
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theory-of-mindSkillAI & models
A comprehensive skill for understanding, modeling, and implementing theory of mind capabilities in AI systems. Covers belief attribution, perspective-taking, mental state inference, false belief understanding, intentionality detection, social cognition, and empathic accuracy.
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typescriptSkillAI & models
Use when writing or hardening TypeScript in strict mode. Covers advanced types, discriminated unions, runtime validation at trust boundaries, generics, and removing `any` from an existing codebase.
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universal-reasoning-manifoldSkillAI & models
The definitive, all-in-one cognitive framework for the Quillan-Ronin system. Synthesizes 8 specialized reasoning modes with the best reasoning trace patterns from frontier models. Operationalized via the 33-Node Council, the 5-Wave Penta-Process, and the v5.3.1 Neural Kernel (AQCS ⊗ E_ICE ⊗ EGGROLL)
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user-researchSkillAI & models
Use when planning, running, or synthesizing user research. Covers interview questions that produce evidence rather than opinions, usability testing, and turning transcripts into findings.
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world-modelSkillAI & models
A comprehensive skill for creating dynamic internal representations of the world.
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\"algo-ad-bidding\"SkillAI & models
\"Implement and select ad bidding strategies from manual CPC to automated target-CPA and target-ROAS. Use this skill when the user needs to choose a bidding strategy, set up automated bidding, or optimize bid parameters — even if they say 'what bidding strategy should I use', 'target CPA setup', or
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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.
53,585 of the 54,017 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.