Turn any website into a structured knowledge base. Firecrawl helps you collect web content and organize it for AI and LLM workflows. You can create reference docs, RAG chunks, or training datasets easily. Just provide a URL or topic and Firecrawl does the rest.
This tool keeps your data clean and well structured. It removes clutter like navigation and boilerplate. It preserves code examples, tables, and source links. You get ready to use markdown files that are perfect for AI agents or documentation.
Whether you need a documentation mirror, a topic corpus, or fine tuning data, Firecrawl makes it simple. The output is organized by hostname and path. You can reuse the same process again and again.
Global
mkdir -p ~/.claude/skills/firecrawl-knowledge-baseProject
mkdir -p .claude/skills/firecrawl-knowledge-baseSource Repository
Lark Baselarksuite/cli
Simplify your Lark Base data with tables, fields, records, and views
Lark Wikilarksuite/cli
Manage your Lark Wiki spaces, members, and documents with simple commands
Paper Context Resolverlllllllama/ai-paper-reproduction-skill
Resolve deep learning paper reproduction gaps with precise primary source evidence
Repo Intake And Planlllllllama/ai-paper-reproduction-skill
Scan a repo, extract commands, and get a minimal reproduction plan
Minimal Run And Auditlllllllama/ai-paper-reproduction-skill
Run commands and capture normalized evidence for reproducible deep learning research
Firecrawl Searchfirecrawl/cli
Search the web and extract full page content as markdown for deeper research
Ai Research Reproductionlllllllama/rigorpilot-skills
Faithful reproduction of deep learning research with auditable steps and minimal changes
Minimal Run And Auditlllllllama/rigorpilot-skills
Capture evidence from deep learning runs and create standardized audit reports