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
9,028 results · page 290 of 301
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skill-authorSkillAI & models
Meta-skill for creating, editing, evaluating and optimizing kit skills. Use when adding a new skill, refactoring an existing one, or measuring skill discovery quality (description triggering). Trigger on: "criar nova skill", "nova capacidade", "skill author", "skill creator", "editar skill", "avalia
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smart-suggestionsSkillAI & models
Skill for intelligent next-action suggestions. Analyzes the current pipeline state, artifacts produced, pending items, and project context to suggest the most relevant next action to the user. Triggered by: "o que fazer agora", "sugestao", "suggest", "proximo passo", "next", "what now", "me ajuda a
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step11-packagerSkillAI & models
Build complete manual Step 11 refinement prompts for Claude-Fable/Opus or OpenRouter Fusion per-pair use from step10+step11 output with full personality YAML, Suno construction rules, and production mandates.
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sweepsSkillAI & models
Apply when running, resuming, ticking, adding or retiring a repo-wide sweep or its ledger, or when deciding whether a mechanical pass needs one. Esposter repo-wide sweep conventions — progress as a ledger in .agents/ledgers/ named after the owning skill, a find recipe proven able to fail, one behavi
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testpoint-plannerSkillAI & models
RAG-backed. Measure and improve explicit standalone-pad testpoint coverage through a guarded DipTrace PCB transaction. Use when the user says “Plan guarded fixture testpoints for these PCB nets.”
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ui-polishSkillAI & models
Interface polish skill — the small details that make a UI feel refined instead of "ok". Use when building components, reviewing frontend code, implementing animations, hover states, shadows, borders, typography, or any visual detail work. Trigger words: "polish", "deixar mais ref
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unreal-best-practicesSkillAI & models
Comprehensive best practices guide for modern Unreal Engine 5.x development. Covers Epic's strategic direction toward modern systems (GAS, Enhanced Input, StateTree, MetaSounds, Niagara, PCG, CommonUI, World Partition, Game Feature Plugins, Gameplay Tags), the "research first" philosophy of always c
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unreal-pcg-pythonSkillAI & models
Guide for Unreal Engine 5.x PCG (Procedural Content Generation) Python integration. Covers the PCGPythonInterop plugin, the Execute Python Script node, PCG Python API (PCGComponent, PCGBlueprintElement, PCGSpatialData, PCGPointData), editor automation, custom PCG nodes via Python, and known limitati
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unreal-thirdpartySkillAI & models
Expert guide for integrating third-party C/C++ libraries into Unreal Engine 5.x projects and plugins. Covers static linking, dynamic linking (DLL/SO/dylib), Build.cs configuration, ModuleType.External, delay loading, runtime dependency staging, wrapping patterns, cross-platform considerations (Windo
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ux-researchSkillAI & models
Qualitative UX Research / Discovery skill — user interviews, research-based persona creation, journey mapping, qualitative usability testing, information architecture, card sorting, and problem validation before specification. Precedes the PO (01) and UI/UX (02): ent
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academy-learnSkillAI & models
Use when the user wants to be taught an Anthropic product or feature - "teach me Claude Code", "learn Cowork", "academy lesson", "train me on MCP or the Claude API", "quiz me", "next lesson" - or asks for structured learning rather than a one-off answer. Covers Claude Code, Claude.ai, Cowork, Tag, P
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academy-reviewSkillAI & models
Use when the user wants their way of working with Claude assessed — "review my session", "how am I using Claude Code", "audit my setup / workflow", "am I following best practices", "coach me", "what should I improve" — or pastes a Claude.ai/Cowork/Tag transcript and asks how they could have worked b
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agent-fungibility-philosophySkillAI & models
Fungible agent architecture for multi-agent coding. Use when scaling agent swarms, designing multi-agent workflows, recovering from agent failures, or choosing specialized vs. interchangeable agent patterns.
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agent-guardrailsSkillAI & models
Stop an AI agent damaging your repo: PreToolUse hooks, permission deny rules, protected paths, verification gates. Use when "claude keeps force pushing", "CLAUDE.md says X but it still does Y", "stop the agent touching prod or .env", or making a repo safe for unattended agent work. For AI features y
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agentpingSkillAI & models
Structured agent-to-human pings for approvals, selections, and open questions across surfaces. Use for human-in-the-loop or async feedback.
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ai-slop-cleanerSkillAI & models
Lets your agent clean up AI-generated code bloat while keeping features working, checking tests after each pass.
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apple-testerSkillAI & models
CLI-first Apple UI tester for iOS Simulator and macOS app automation. Use for deterministic observe/act/verify testing and promotion to XCTest artifacts.
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arxiv-fetchSkillAI & models
Fetch the latest arXiv papers and generate an on-demand digest. Use when the user asks to fetch/check today's (or the latest) arXiv papers, find new papers on a topic, or generate an ad-hoc arXiv digest. The agent judges relevance itself — no API keys needed.
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asupersync-mega-skillSkillAI & models
Replace Tokio Rust stacks with Asupersync. Use when migrating tokio/axum/hyper/tonic apps, designing native Cx/region-based services, or debugging Asupersync internals.
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asyncopenai-concurrency-httpx-poolSkillAI & models
Raise real concurrency in asyncio LLM batch scorers built on the OpenAI SDK (AsyncOpenAI, including OpenAI-compatible providers like DeepSeek). Use when: (1) raising an asyncio.Semaphore above ~100 produces no throughput gain, (2) a batch pipeline saturates near 100 in-flight requests despite a larg
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auto-enrichSkillAI & models
Use when source-faithful planning artifacts need simple host-only, standard, or deep enrichment before SDLC proposal review or a non-coding domain handoff.
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auto-levSkillAI & models
Use when running a visible Lev autopilot that coordinates research, interview, arch, propose, AgentPing, warm-worker intent, realtime dashboard intent, and lev exec updates across the lifecycle.
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autodev-levSkillAI & models
Heartbeat-driven autonomous development loop using lev loop autodev, with interval, budget, and tick controls for in-process SDLC execution.
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axiom-xctest-automationSkillAI & models
Use when writing, running, or debugging XCUITests. Covers element queries, waiting strategies, accessibility identifiers, test plans, and CI/CD test execution patterns.
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bare-metal-bringupSkillAI & models
Use when bringing up bare-metal or kernel code on a new architecture, SoC, or board (RISC-V, ARM, x86, ESP32) and it won't boot, hangs after boot, or faults early; covers trap vectors, MMU/PMP, syscall ABI, and boot ordering
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bcc-plan-sparSkillAI & models
BCC align+lock+review PLAN.md for one slice (no product code). Slash: /bcc-plan-spar · chat: bcc:plan-spar · "lock PLAN" · spar the plan. Args: rounds=N (auto-review cap), review=self|subagent|cli|auto|off. Grill until clear enough (no default Q&A quota). Hand off to bcc-clean-cut after human APPROV
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bd-attributeSkillAI & models
Add a new declarative attribute to the better-data library (e.g. #[ArrayOf], #[Default], domain hint). Attributes live in src/Attribute/ as final readonly classes with constructor-promoted public properties — pure data carriers, never business logic. The failure mode that catches every contributor i
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bd-better-route-bridgeSkillAI & models
Compose better-data DTOs with the better-route library — use BetterRouteBridge::{get, post, put, patch, delete} to register a REST route that hydrates the request into a DTO, validates, calls the handler with (DataObject, mixed $request), and presents returned DataObject values through Presenter wit
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bd-companion-pluginSkillAI & models
Work on better-data-plugin-test — the companion plugin
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bd-data-objectSkillAI & models
Add or modify DataObject subclasses inside the better-data library — the immutable, attribute-decorated DTOs the whole library is built around. Every DTO is final readonly class extends DataObject with constructor-promoted typed parameters; sources hydrate via ::fromArray, sinks project via SinkProj
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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.
55,483 of the 55,914 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.