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Found 3,545 Skills
Routes any game-development request to the right specialized skill(s): it detects the engine (Godot, Unity, Unreal, Bevy, Phaser, PixiJS, three.js, LÖVE, pygame, Roblox) and the task, then reads the chosen skill before acting. Use to make a game or to decide which skill applies — for players, levels, enemies, shaders, UI/UX, cameras, game feel, physics, input, audio, saving, multiplayer, AI, dialogue, procedural generation, or performance, for genres (platformer, roguelike, RPG, FPS, tower-defense, card game, visual novel, survival-crafting, puzzle), and for shipping (game jam, Steam, itch). Start here when unsure which gamedev skill to use.
Catalyst SDKs — initialization patterns, service access, and method reference for Node.js, Web (browser), Python, Java, Android, iOS, and Flutter. Trigger on 'SDK', 'zcatalyst-sdk-node', 'Node.js SDK', 'Web SDK', 'Python SDK', 'Java SDK', 'Android SDK', 'iOS SDK', 'Flutter SDK', or 'initialize SDK'.
Generate and maintain description frontmatter for Rspress documentation files (.md/.mdx). Use when a user wants to add SEO descriptions, improve search engine snippets, generate llms.txt metadata, prepare docs for AI summarization, or batch-update frontmatter across an Rspress doc site. Also use when adding new documentation pages to an Rspress project — every new doc file needs a description.
Shiplight QA toolkit — the single entry point for all Shiplight test/QA work. Use ONLY when the user explicitly says 'shiplight' (e.g. 'write a shiplight test', 'use shiplight to verify X', 'shiplight cover') or invokes /shiplight. Routes to subcommands: init, auth, update, create-yaml-tests, create-agent-verification, cover, fix, verify, review, ci, cloud, support, help.
OpenTelemetry Collector component configuration. Use when authoring, reviewing, or debugging Collector YAML for a specific receiver, processor, exporter, connector, or extension — config keys, defaults, validation rules, signal support, stability levels, and component-level gotchas. Triggers on Collector component questions including receivers, processors, exporters, connectors, extensions, component renames, signal support, and pipeline wiring.
Transform user requests into detailed, precise prompts for AI models. Use when users say "promptify", "promptify this", or explicitly request prompt engineering or improvement of their request for better AI responses.
Guide AI agents through TypeScript coding best practices including type safety, error handling, code organization, and architecture patterns. This skill should be used when generating TypeScript code, reviewing TypeScript files, creating new TypeScript modules, refactoring JavaScript to TypeScript, or when the user asks about TypeScript patterns, types, or coding standards. Keywords: typescript, types, coding standards, best practices, type safety, generics, architecture, refactoring.
Best practices for using Pulumi Automation API to programmatically orchestrate infrastructure operations. Covers multi-stack orchestration, embedding Pulumi in applications, architecture choices, and common patterns.
TanStack Query (React Query) patterns for data fetching, caching, mutations, and optimistic updates. Use when implementing server state management, API caching, or data synchronization in React applications.
Defines repo layout, workflow, and full-stack architecture patterns for TypeScript applications. Use when starting a project, setting team conventions, or designing backend modules, request context, middleware, and frontend/backend boundaries.
Transform AI-generated text into natural, human-like content that bypasses AI detectors like GPTZero, Turnitin, and Originality.ai. Uses credits based on word count.
High-velocity solo development workflow. Idea to production same-day. 9 commands: plan, spike, ship, review, spec-review, focus, done, drop, workflow. Auto-activates on: "plan", "spec", "ship", "spike", "spec-review", "review spec", "analyze spec", "challenge spec", "focus", "what should i do", "prioritize", "overwhelmed", "what should i work on", "done", "finish", "complete", "drop", "abandon", "workflow", "what's next", "whats next", "next step", "what now".