Browse Skills

Install Skill creates a skill from any source and packages it for a target LLM platform. Use it when you want one command to turn documentation, repositories, or files into a distributable skill.

Skill Builder automatically detects source types and builds AI skills using the Skill Seekers MCP server. Use it to convert documentation, codebases, PDFs, videos, and other knowledge sources into AI-ready skills, with optional export to vector databases.

Skill Builder detects source types and builds AI skills from documentation, repositories, PDFs, videos, and other knowledge sources using Skill Seekers. Use it when you need to convert source material into packaged, LLM-ready skills.

Skill Seekers Bootstrap analyzes the Skill Seekers codebase and generates a Claude Code skill containing its own documentation, API reference, code patterns, and usage examples. Use it to learn Skill Seekers, reference CLI commands, or integrate the API.

Your First Skill walks through creating a Claude skill from documentation using Skill Seekers, covering dry-run preview, scraping, AI enhancement, packaging, and upload.

Your First Skill walks through using Skill Seekers to scrape documentation and package it as a Claude AI skill. Use it when building a new skill from Django docs or other web sources.

Gemini Search searches research papers via Gemini for broad literature discovery, decomposing topics into sub-problems and naming variants to surface papers traditional API searches may miss. Use it when a user says "gemini search", "gemini papers", or wants AI-powered research discovery beyond arXiv and Semantic Scholar.

Grant Proposal drafts structured, reviewer-ready grant applications from research ideas and literature, supporting KAKENHI, NSF, NSFC, ERC, DFG, SNSF, ARC, NWO, and generic formats. Use it when turning research ideas into a funding application.

Ablation Planner designs ablation studies for machine learning research papers, isolating component contributions and prioritizing experiments when main results pass.

AlphaXiv returns LLM-optimized summaries for a single paper from AlphaXiv, with tiered source fallback. Use when asked to explain or summarize a paper, or given an arXiv/AlphaXiv URL or ID.

Analyze Results analyzes ML experiment results, computes statistics, and generates comparison tables and insights. Use when the user says "analyze results", "compare", or needs to interpret experimental data.

ArXiv Paper Search searches arXiv for papers, fetches details by ID, downloads PDFs, and summarizes them; use it when the user asks to search arxiv, get a paper, download a paper, or save PDFs to a local library.