Scaffold or starterAI and agent development

Skill_Seekers

Converts docs, repositories, PDFs, videos, and other sources into reusable knowledge assets for AI systems.

Stars
14,421
Forks
1,470
License
MIT
Updated
Updated Jul 10, 2026

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Project overview

Skill Seekers uses a Python CLI and MCP server to turn documentation sites, GitHub repositories, PDFs, videos, and other sources into structured knowledge assets. It can compare code with documentation, generate example-rich SKILL.md files, and export for Claude, Gemini, OpenAI, LangChain, and multiple vector-database formats. It also supports caching, resumable jobs, and project-configuration scanning. Basic use requires Python 3.10+ and Git; AI enhancement or upload features may need provider credentials.

Repository facts

Primary language
Python
License
MIT
Repository updated
Jul 10, 2026
Default branch
development

Resource types

Scaffold or starterCLI appFrameworkMCP server

Use cases

AI and agent developmentDocument productivityKnowledge managementResearch and knowledgeWorkflow automation

Platforms

ChatGPTClaude CodeCursorOpenCode

Runtime

Command lineLocal

Protocols & integrations

CLI integrationModel Context ProtocolOpenAPI

Capabilities

Content managementData retrievalDocument generationSummarizationTool useTranscriptionWorkflow automation

Audience

Data analystsDevelopersResearchers

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