SEC filing analysis (10-K / 10-Q / 8-K / proxy / S-1 / Forms 3-4-144 / 20-F) for the AI Investing course (Week 2+) using the PageIndex vectorless RAG MCP server. Invoke whenever the student asks about a public company's risk factors, MD&A, revenue drivers, year-over-year changes, executive compensation, insider transactions, or anything that requires reading the actual text of a SEC filing. Backed by a local Ollama + gemma4:e2b model — no cloud LLM calls. Ships with BLK + HOOD pre-indexed so the centerpiece exercises work out of the box; fetch_company_filings is fully available from Week 2 for any ticker the student wants to research.
$npx -y skills add jingerzz/ai-investment-courses --skill pageindex-rag-courseInstalls into the current project.
Run `npx skills use "https://github.com/jingerzz/ai-investment-courses" --skill "jingerzz/ai-investment-courses/pageindex-rag-course"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/jingerzz/ai-investment-courses" that are relevant to the current task. Run `npx skills add "https://github.com/jingerzz/ai-investment-courses"` and select the relevant skills, then follow their instructions.