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
9,017 results · page 256 of 301
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feature-testSkillAI & models
Create or update Agentty PTY feature tests and their GIF, PNG, and Zola artifacts. Use for visible UI behavior demonstrable without live agent backends, or when maintaining the recording workflow.
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fiberSkillAI & models
Fiber Go web framework inspired by Express. Covers routing, middleware, context, WebSocket, and prefork. Use for Express-like Go development.
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final-grainSkillAI & models
Use when asked to push an already-working artifact to finished composition, texture, and feel. Not for remote or irreversible changes. Not for hygiene routing: use clean-and-true.
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finish-branch-menuSkillAI & models
Use when implementation is complete, the test suite is green, and an integration decision is needed for a development branch or worktree. Not for failing tests or starting new work.
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fix-p0-issuesSkillAI & models
Use when the user asks to fix P0s, address critical issues, or work on priorities from the weekly product briefing. Don''t use for non-P0 issues or local bug fixes.
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flaskSkillAI & models
Flask lightweight Python framework. Covers routing, blueprints, and extensions. Use for simple Python APIs and microservices.
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framer-motionSkillAI & models
Framer Motion animation library for React. Declarative, physics-based and gesture-aware: variants and orchestration, AnimatePresence, FLIP layout animation, scroll-linked motion, spring configuration and gestures.
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from-perspectiveSkillAI & models
Use when an answer is wanted from one named seat only: breaking, business, career, codebase, human, impact, innovation, moat, rent-seeking, skeptic, or stability. Not for multi-lens synthesis: use prism. Not for rebuilding from primitives: use from-first-principle.
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fromzeroSkillAI & models
Use when replacing a greenfield attempt with a clean pad of verified requirements. Not for rebuilding from primitives: use from-first-principle. Requires a committed, VCS-recoverable attempt.
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frontend-fidelity-rebuildSkillAI & models
Use when an authorized reference surface needs a clean-room frontend reconstruction across static, motion, and responsive fidelity. Not for styling or component work without a reference surface.
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fuzz-harness-writingSkillAI & models
Use when a user needs to create or improve a deterministic, engine-agnostic fuzz harness for raw or structured target inputs. Not for coverage measurement: use fuzzing-coverage-analysis.
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fuzzing-obstaclesSkillAI & models
Helps your agent patch out checksum checks and other obstacles so a fuzzer can explore more code.
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gate-and-mergeSkillAI & models
Use when landing a queue of open PRs: gate each PR, sweep its review feedback to root cause, then merge, repair, hold, or close it. Human-only.
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gh-review-requestsSkillAI & models
Lets your agent find GitHub pull requests where your team's review is requested.
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git-cleanupSkillAI & models
Use when the user explicitly invokes branch or worktree cleanup for a repo with accumulated local branches. Don''t use for remote branch deletion or force-push operations.
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git-guardrailsSkillAI & models
Use when a repository needs a guard against force-push, forced reset, clean, branch deletion, working-tree discard, stash drop, reflog expire, or gc prune. Not for remote or irreversible changes.
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github-backlog-triageSkillAI & models
Use when the user invokes backlog triage for a GitHub repo''s open issues and PRs. Not for proactive triage, non-GitHub trackers, or single bug issues: use github-bug-report-triage.
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github-bug-report-triageSkillAI & models
Use when evaluating whether a bug issue has sufficient detail and identifying missing reporter information. Not for non-bug issues or backlog triage: use github-backlog-triage.
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github-issue-dedupeSkillAI & models
Use when finding duplicate GitHub issues or checking for similar issues against a target issue. Not for closing, labeling, or modifying any duplicate issue.
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gradle-kmpSkillAI & models
Gradle build system for Kotlin Multiplatform projects. Covers settings.gradle.kts, version catalogs (libs.versions.toml), KMP plugin configuration, source set hierarchy, target binaries (JAR, AAR, XCFramework, JS bundle), publishing (Maven Central, GitHub Packages), CI presets (build matrix, caching
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grpcSkillAI & models
gRPC service development. Protocol Buffers (protobuf), service definitions, streaming (unary, server, client, bidirectional), interceptors, and code generation for Node.js, Go, Java, and Python.
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gsapSkillAI & models
GSAP (GreenSock Animation Platform) — high-performance JavaScript animation engine with a plugin ecosystem. Covers tweens, easing, timelines, ScrollTrigger and the useGSAP React hook.
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guillotineSkillAI & models
Use when dead, duplicate, superseded, or generated residue must leave more than one artifact class of a repo or subsystem, preserving behavior. Not for one enumerated record set: use clean-clean-cut.
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honoSkillAI & models
Lets your agent build fast web APIs and full-stack apps that run on Cloudflare, Deno, Bun, and Node.js.
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hook-authoringSkillAI & models
Creates and configures Claude Code hooks for lifecycle automation. Covers all 17 hook events, 4 hook types (command, prompt, agent, http), matchers, input/output formats, and exit codes. Follows official Anthropic best practices.
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hrsd-chat-reply-recommendationSkillAI & models
Generate recommended replies for HR agents handling employee inquiries via chat, considering HR policies, case history, and confidentiality requirements
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http-clientsSkillAI & models
HTTP clients for frontend and Node.js. Covers Axios, Fetch API, ky, and ofetch. Includes interceptors, error handling, retry logic, and auth token management. Use for configuring API clients and HTTP communication.
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hybrid-edge-cloudSkillAI & models
Hybrid edge-cloud AI architecture: local-first inference with cloud escalation, model cascading, and splitting the workload across device and datacenter to balance latency, cost, privacy, and quality. Architect-level topology.
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inference-serving-topologySkillAI & models
LLM/model inference serving architecture: the engine → serving → orchestration layering (vLLM/SGLang/TensorRT-LLM, Triton, KServe/Ray Serve), KV-cache & continuous batching, prefill-decode disaggregation, and scaling. Architect-level topology, not model training.
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interactive-drop-selectorSkillAI & models
Use when the user explicitly asks to choose which issues or pull requests to close interactively. Don''t use for closing items without per-item selection and explicit approval.
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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.
55,004 of the 55,435 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.