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Found 7,342 Skills
Use when writing Roblox game scripts that handle player actions, currencies, stats, damage, or any RemoteEvent/RemoteFunction communication. Use when reviewing code for exploitable patterns, implementing anti-cheat logic, validating client requests on the server, or setting up rate limiting.
AI creative director that turns a user's natural-language idea into a complete storyboard and generates all assets — images, video clips, and audio — automatically. The user only describes what they want; all prompt engineering is handled internally.
One-click installer for all Gate.com MCP servers including spot/futures trading, DEX, market info, and news. Use when users need to install, configure, or manage Gate MCP servers with mcporter.
Configure and operate Codemagic-hosted CodePush for React Native iOS and Android apps, including native plugin wiring, deployment key/server URL setup, Codemagic CI integration, and OTA release lifecycle (release, promote, patch, rollback). Use when requests mention CodePush, codepush, OTA updates, @code-push-next/react-native-code-push, @codemagic/code-push-cli, codepush.pro, deployment keys, or staged iOS/Android rollout workflows.
Enables rich interactive UI components in chat responses. When presenting questions that require structured input (multiple choice, true/false, forms), embed interactive blocks that compatible clients render as native UI elements. Use when user asks for quizzes, exercises, surveys, or any structured input scenario.
Generate AI videos using the Pollo AI API. Supports 13 leading models (Kling, Sora, Runway, Veo, Pixverse, Hailuo, Vidu, Luma, Pika, Wan, Seedance, Hunyuan, Pollo) with 50+ versions. It also supports task polling, credit cost estimation, and credit balance checks. Use this skill whenever the user wants to generate an AI video from text or image, use any AI video model, check Pollo credits, or mentions Pollo AI, pollo.ai, or any of the supported model names. Even if the user just says "generate a video" or "make me a short clip" without mentioning Pollo, this skill should be used.
Search and query your Knowledge Cortex (~/.cortex/). Use when asked to "cortex stats", "cortex search", "cortex client", "cortex contacts", "cortex export", "cortex prune", "search my knowledge base", or "what do I know about COMPANY". Queries portable JSONL/JSON files for contacts, clients, communications, and facts.
Render JSON artifacts into readable UI with an inspect-first, facts-first workflow. Use when Codex needs to turn JSON files, JSON-producing shell commands, CLI output artifacts, or unknown structured payloads into a declarative UI spec that can be rendered natively by the harness or through a terminal-native reference renderer, including cases with repeated child records encoded as aligned arrays.
Implement "Sign In with OpenRouter" using OAuth PKCE — framework-agnostic, no SDK or client registration required. Use when the user wants to add OpenRouter login, authentication, sign-in buttons, OAuth, or AI model inference API keys for browser-based apps. No client registration, no backend, no secrets required.
Goldsky Turbo pipeline YAML reference — the authoritative source for field names, required vs optional fields, and valid values. Use whenever the user asks about specific YAML fields: what does `start_at: earliest` vs `latest` do, what fields does a postgres/clickhouse/kafka sink require, what is the `from:` field in a sink, how does `checkpoint` work, what's the syntax for `batch_size` or `primary_key`. Also use for validation errors like 'unknown field' or 'missing required field'. For interactive pipeline building end-to-end, use /turbo-builder instead.
Design and architect Goldsky Turbo pipelines. Use this skill for 'should I use X or Y' decisions: kafka source vs dataset source, streaming vs job mode, which resource size (xs/s/m/l/xl/xxl) for my workload, postgres vs clickhouse vs kafka sink, fan-in vs fan-out data flow, one pipeline vs many, dynamic table vs SQL join, how to handle multi-chain deployments. Also use when the user asks 'what's the best way to...' for a pipeline design problem, or is unsure how to structure their pipeline before building it.
Expert documentation generator for coding projects. Analyzes codebases to create thorough, comprehensive documentation for developers and users. Supports incremental updates, multi-audience documentation, architecture decision records, and documentation health tracking. Works with any project type (APIs, CLIs, web apps, libraries). Use when you need to document a new project, update docs after adding features, or create comprehensive documentation for open source releases.