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Skills
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Provides concise, AI-optimized NgRx state management best practices for Angular applications, with actionable rules and code examples designed for efficient LLM context usage.
A collection of Claude Code skills for tasks like code review, security analysis, and development best practices, each providing structured expert guidance.
Executes seamless database migrations across ORMs with zero-downtime strategies, schema transformations, and robust rollback procedures.
Connects to Teneo Protocol's decentralized network of paid AI agents for tracking Bitcoin and Ethereum market data via Messari, enabling real-time crypto analytics through automated agent queries.
An Unreal Engine C++ skill covering Animation Blueprints, Montages, and state machines, with audited API references for the UE5 animation pipeline.
An Unreal Engine C++ skill for working with Data Assets and Data Tables, providing audited patterns for defining, loading, and querying structured game data.
A Claude Code skill for Unreal Engine 5 gameplay framework development, covering actor lifecycle, component architecture, and core gameplay systems. Part of a 27-skill collection audited against UE source code for API accuracy.
A collection of 11 agent skills for working with Apollo GraphQL tools, covering Apollo Client, Server, Connectors, iOS/Kotlin clients, MCP Server, Rover CLI, GraphQL schema design, and operations. Compatible with Claude Code, Codex, Cursor, and other agents.
Guides implementing background job processing for async task execution and system resource management, from the Useful AI Prompts library of 488+ prompts.
Enables advanced texture painting, UV mapping, and texture editing workflows within the Blockbench 3D modeling application via MCP remote interaction.
Connects to Teneo Protocol's decentralized AI agent network for querying CoinMarketCap cryptocurrency data, enabling real-time crypto analytics and market tracking through automated paid agent queries.
A collection of Claude Code skills for tasks like code review, security analysis, and development best practices, each providing structured expert guidance.
Interactive spec-driven development workflow that transforms ideas into feature specifications using EARS format requirements, design documents with architecture and data models, and actionable task lists for test-driven incremental implementation.
Research an external subject using web search, synthesize findings into a structured Basic Memory entity. Use when asked to research a company, person, technology, or topic — or when a bare name or URL is provided that implies a research request.
Nix best practices skill covering flake structure, overlays, unfree package handling, and binary overlays for working with flake.nix or shell.nix configurations
A platform-neutral skill for operating Open Computer Use, an open-source CLI and stdio MCP server that exposes GUI automation tools (click, scroll, type, drag, etc.) across macOS, Linux, and Windows. It guides agents through installation, configuration, permission setup, and multi-step computer control workflows.
A collection of Claude Code skills for tasks like code review, security analysis, and development best practices, each providing structured expert guidance.
An Unreal Engine C++ skill for testing and debugging, covering the Automation Framework, functional tests, logging, and UE5 debugging tools and techniques.
A VTEX IO app settings skill from the VTEX Skills collection, part of the Data & Config track that covers app settings management and configuration patterns for custom VTEX IO application development.
Generates structured writing plans and outlines for various document types, helping users organize and structure their writing projects systematically.
Interprets Amazon Brand Analytics data including Search Frequency Rank (SFR), click share, conversion share, market basket analysis, and repeat purchase behavior to provide actionable optimization recommendations for Amazon sellers.
A Cargo CLI skill for managing workspace knowledge files and libraries, including uploading, listing, renaming, and organizing PDFs, CSVs, and text files into native or connector-backed libraries for retrieval-augmented generation (RAG).
Teaches AI agents how to build applications using the Genkit framework with Go, providing development patterns and best practices for the Genkit Go SDK.