yq
Extract specific fields from YAML files efficiently without reading entire files, saving 80-95% of context window usage.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
498 skills found
Extract specific fields from YAML files efficiently without reading entire files, saving 80-95% of context window usage.
TypeScript development standards for LobeHub, covering type safety, async patterns, import organization, UI component integration, and performance optimization.
A comprehensive library of 305+ modular instruction packages, Python CLI tools, and agent workflows designed to extend the capabilities of AI coding assistants like Claude Code, Cursor, Aider, and Gemini CLI.
Manage, deploy, and debug GitHub MCP servers and gateways. Orchestrate Docker-based MCP containers, troubleshoot connectivity, handle authentication, and integrate with Copilot CLI and Agentic Workflow Firewalls.
Analyze project structures, dependencies, and patterns using parallel agent execution to generate comprehensive context documentation for rapid codebase onboarding and AI-assisted development.
CLI-based Linear integration for AI-assisted task management, issue tracking, and automated development workflows.
Reverse-engineering specialist for codebase analysis, dependency mapping, and specification extraction from legacy or undocumented systems.
Expert guidance for designing and implementing high-quality tool schemas and descriptions for Julia's agent systems, ensuring reliable tool execution and reducing model hallucinations.
Generate high-quality text-to-speech audio using Microsoft Edge's neural TTS service. Supports multiple languages, voices, and adjustable audio parameters.
Expert assistant for writing high-quality, modern, and memory-safe C++ code for V8 FFI wrappers and native integrations.
Automated CI/CD incident response, failure analysis, and remediation for GitHub Actions pipelines. Resolves build and test failures with safety guardrails.
A nested plugin architecture for Claude Code that optimizes context by dynamically loading playbooks, skills, and agents to save over 90% in token usage.