productivity▌

Create, rename, and manage services; check deployment status and health. \n \n Check service status, deployment history, and health via CLI commands returning JSON \n Create services with Docker images or empty (GitHub repos configured via environment skill) \n Rename services and update icons using GraphQL mutations; supports image URLs, animated GIFs, and Railway Devicons \n Link or switch between services in the current directory with railway service link \n

Pre-install security vetting for OpenClaw skills using a structured red-flag checklist. \n \n Evaluates metadata, permission scope, and content against critical, warning, and informational risk categories \n Detects typosquatting, credential file references, obfuscated content, and command injection patterns \n Flags high-risk permission combinations like network + shell that enable data exfiltration \n Produces a standardized vetting report with verdict (Safe/Warning/Danger/Block) and install r

Reference guide for building agents and workflows with current Mastra APIs. \n \n Always verify against embedded docs in node_modules/@mastra/*/dist/docs/ (installed version) or remote docs at https://mastra.ai/llms.txt before writing code; training data is outdated \n Core building blocks: Agents (autonomous, decision-making), Workflows (structured sequences), Tools (extend capabilities), Memory (maintain context), and RAG (external knowledge) \n Requires ES2022 modules in TypeScript config and

Fast JavaScript/TypeScript development with Bun runtime, including package management, testing, bundling, and Node.js migration. \n \n Native TypeScript and JSX support with no transpiler required; 10-100x faster package installation and ~25ms startup time compared to Node.js \n Built-in tools: HTTP/WebSocket server, SQLite database, test runner, bundler, and password hashing via Bun.serve() , Bun.sql() , bun test , and Bun.build() \n File system and environment variable APIs ( Bun.file() , auto

Clone real voices from online video or design voices from photos, then roleplay as that person with synthetic speech. \n \n Two workflows: extract voice from public video (interviews, speeches) by name, or generate a matching voice from an uploaded image of an unrecognizable person \n Requires ffmpeg , yt-dlp , the tts skill, and a Noiz API key; includes setup verification and dependency installation steps \n Built-in ethical guardrails: agent must refuse requests targeting non-consenting privat

Validate and standardize SKILL.md files against the Agent Skills specification. \n \n Validates frontmatter fields (name, description, allowed-tools, metadata) and enforces naming conventions, length constraints, and format rules \n Converts legacy skill formats to standard structure, including section heading normalization and directory layout alignment \n Provides templates and step-by-step guidance for creating new skills, improving descriptions for reliable triggering, and batch-validating s

Strip designs to their essence by removing unnecessary complexity and revealing core functionality. \n \n Analyzes complexity sources across information architecture, visual design, layout, interactions, and content to identify what can be removed or hidden \n Applies ruthless simplification strategies including progressive disclosure, element consolidation, color/typography reduction, and flattened component hierarchies \n Requires the frontend-design skill and its Context Gathering Protocol as

Identifies error-prone APIs, configurations, and designs that enable developer security mistakes. \n \n Evaluates six categories of sharp edges: algorithm selection footguns, dangerous defaults, primitive vs. semantic APIs, configuration cliffs, silent failures, and stringly-typed security \n Provides a four-phase analysis workflow: surface identification, edge case probing, threat modeling against three adversary types (malicious, lazy, confused), and validation \n Includes severity classificat

USPTO provides specialized APIs for patent and trademark data. Search patents by keywords/inventors/assignees, retrieve examination history via PEDS, track assignments, analyze citations and office actions, access TSDR for trademarks, for IP analysis and prior art searches.

Generates GitHub Copilot migration instructions by analyzing code differences between project versions. \n \n Compares two project states (branches, commits, or tags) to extract transformation patterns, API changes, and architectural shifts \n Creates a .github/copilot-migration-instructions.md file with mandatory rules, validated transformations, API correspondences, and obsolete patterns to avoid \n Supports multiple migration types: framework version upgrades, architecture refactoring, techno