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Found 2,394 Skills
Systematic documentation audit and maintenance. This skill should be used when documentation may be stale, missing, or misorganized — after feature work, refactors, dependency upgrades, or as a periodic health check. It prescribes folder structure for docs/ and manual/, dispatches haiku subagents for codebase/doc scanning, and routes doc creation to specialized agents (reference-builder, technical-writer, learning-guide) with docs-architect as quality gate.
Convenciones de formato: framework Diátaxis, español/LATAM, estilos de código, Conventional Commits.
Complete design system reference for React applications. Covers colors, typography, spacing, component patterns, glassmorphism effects, GPU-accelerated animations, and WCAG AA accessibility. Use when implementing UI, choosing colors, applying spacing, creating components, or ensuring brand consistency.
A micro-prompt that reminds the agent that it is an interactive programmer. Works great in Clojure when Copilot has access to the REPL (probably via Backseat Driver). Will work with any system that has a live REPL that the agent can use. Adapt the prompt with any specific reminders in your workflow and/or workspace.
Review and merge GitHub pull requests for Spatie packages. Use when asked to review a PR, review a pull request, merge a PR, or when given a GitHub PR URL to review. Also triggers on 'review this PR,' 'check this pull request,' 'merge this,' or '/review-pr'. Uses gh CLI for all GitHub operations.
Production-grade UI/UX guidance and review skill. Transforms vague design feedback into actionable, implementable recommendations. Two modes: `guide` (principles + do/don't rules for modern interfaces) and `review` (structured audit with prioritized fixes). Covers task-first UX, information architecture, CRAP visual hierarchy, accessibility, responsive design, typography, color systems, cognitive psychology, and interaction patterns. Enforces a modern minimal aesthetic — clean, spacious, typography-led — with zero tolerance for emoji-as-icons, decoration-first design, or AI-generated visual excess.
This skill should be used when the user asks to "configure moon", "set up moonrepo", "create moon tasks", "run moon commands", "configure moon workspace", "add moon project", "moon ci setup", "moon docker", "moon query", "migrate to moon v2", or mentions moon.yml, .moon/workspace.yml, .moon/toolchains.yml, moon run, moon ci, or moonrepo in general.
Visual design intelligence and UI aesthetics. Integrates: chrome-devtools, ai-multimodal, media-processing. Capabilities: design analysis, visual hierarchy, color theory, typography, micro-interactions, animation, design systems, accessibility. Actions: analyze, design, create, capture, evaluate, implement UI aesthetics. Keywords: Dribbble, Behance, Mobbin, design inspiration, visual hierarchy, color palette, typography, spacing, animation, micro-interaction, design system, style guide, accessibility, WCAG, contrast ratio, golden ratio, whitespace, visual rhythm. Use when: building beautiful UIs, analyzing design inspiration, implementing visual hierarchy, adding animations/micro-interactions, creating design systems, evaluating aesthetic quality, capturing design screenshots.
Provides NodeReal MegaNode blockchain infrastructure APIs for 25+ chains including BSC, Ethereum, opBNB, Optimism, Polygon, Arbitrum, and Klaytn. Covers standard JSON-RPC endpoints, Enhanced APIs (nr_ methods for ERC-20 token balances, NFT holdings, asset transfers), MegaFuel gasless transactions via BEP-322 paymaster, Direct Route MEV protection, Debug/Trace APIs, WebSocket subscriptions, ETH Beacon Chain consensus layer, Portal API usage monitoring, API Marketplace (NFTScan, Contracts API, SPACE ID, Greenfield, BNB Staking, PancakeSwap, zkSync), non-EVM chains (Aptos, NEAR, Avalanche), and JWT authentication. Use when building blockchain dApps with NodeReal, querying token or NFT data, setting up RPC infrastructure, configuring gasless transactions, protecting against MEV, tracing transactions, verifying smart contracts, resolving .bnb domains, or monitoring validators and API usage.
Inline adversarial plan review — 3 sequential checks (Feasibility, Completeness, Scope & Alignment) performed by the calling LLM in its own context. No subagents spawned. Call after saving a plan. Returns GATE_PASS or GATE_FAIL with blocking issues.
Expert patterns for Godot 3D physics (Jolt/PhysX), including Ragdolls, PhysicalBones, Joint3D constraints, RayCasting optimizations, and collision layers. Use for rigid body simulations, character physics, or complex interactions. Trigger keywords: RigidBody3D, PhysicalBone3D, Jolt, Ragdoll, Skeleton3D, Joint3D, PinJoint3D, HingeJoint3D, Generic6DOFJoint3D, RayCast3D, PhysicsDirectSpaceState3D.
Reviews finished and in-progress digital products to assess adherence to design specifications and discover potential issues. Use when user says "design review", "design QA", "QA review", "check implementation", "visual bugs", "compare to design", "match the specs", "review the build", "before launch", "pre-launch review", "implementation review", "verify design", "design validation", "spacing issues", "visual discrepancies", "accessibility review", "WCAG compliance", or "responsive testing". Validates implementation against design intent, identifies visual and interaction discrepancies, and provides actionable feedback. Do NOT use when still designing concepts (use design-concepts), need to understand users (use design-research), or nothing has been built yet.