local-skills-mcp-guide
Repository implementation guide for local-skills-mcp. Provides technical documentation on MCP tool handlers, skill loading, aggregation logic, and project structure for developers.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
520 skills found
Repository implementation guide for local-skills-mcp. Provides technical documentation on MCP tool handlers, skill loading, aggregation logic, and project structure for developers.
A precision-focused UX/UI engineering agent for identifying bugs, optimizing usability, and ensuring flawless interface performance in workflow applications.
Expert-level Java codebase analysis and Maven dependency management skill. Enables deep bytecode inspection, multi-version dependency conflict resolution, and automated project building via MCP integration.
GitHub operations via gh CLI. Use for repository inspection, issues, PRs, releases, and deep codebase analysis including cloning for architectural insights.
High-quality Feishu/Lark Docx writing via OpenClaw. Convert Markdown into well-formatted Feishu Docx with support for headings, lists, nesting, and code blocks using feishu_docx_write_markdown.
Transform passive learning content like transcripts and tutorials into actionable Ship-Learn-Next cycles with concrete implementation plans and progress-oriented quests.
Free AI-powered web search via Exa MCP. Includes deep research, company/people lookup, and code context without API keys.
Automated GitHub issue analysis, triage, and resolution planning tool integrated with Specification Driven Development (SDD) workflows.
Build, audit, and iterate high-converting landing pages using React, Vite, TypeScript, Tailwind, and shadcn/ui. Expert in CRO, hero structures, and conversion-focused design with Iconify icons.
Tools for deploying, managing, and monitoring DataRobot models, including prediction environment configuration, champion/challenger workflows, and deployment operations.
Fetch, index, and search developer documentation from GitHub and websites to provide AI agents with accurate, grounded, and version-specific code context.
Analyze AppWorld task failures to extract specific API patterns and generate actionable playbook bullets with concrete code examples.