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MCP server that lets any AI agent discover, search, and install ~7,000 agent skills from across the GitHub ecosystem (Anthropic, Superpowers, wshobson, antigravity, Composio, and more).
MCP server that lets any AI agent discover, search, and install ~7,000 agent skills from across the GitHub ecosystem (Anthropic, Superpowers, wshobson, antigravity, Composio, and more).
skills-mcp is a Claude Code agent skill that mCP server that lets any AI agent discover, search, and install ~7,000 agent skills from across the GitHub ecosystem (Anthropic, Superpowers, wshobson, antigravity, Composio, and more).
npx skills add gengirish/skills-mcpInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
MCP server that lets any AI agent discover, search, and install ~7,000 agent skills from across the GitHub ecosystem (Anthropic, Superpowers, wshobson, antigravity, Composio, and more).
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.