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LLM Wiki Setup (Investment Research Second Brain)

Co-creates a pure-markdown investment research wiki in Karpathy's LLM Wiki style by interviewing you to distill your own analysis framework into CLAUDE.md.

Data & AnalyticsIntermediate★ 1,323⑂ 212AI score 8/10Last updated: Aug 8, 2026

What it does

  • Scaffolds an investment-research wiki built on plain markdown + [[wikilinks]] + grep, deliberately no RAG, vector DB or embeddings.
  • scripts/init_vault.py generates the three-tier directory layout, a linter, a git pre-commit hook, and empty index/log files.
  • The heart of it is an interview: it walks the 8 dimensions in references/interview.md one at a time and writes your answers, in your own wording, into the rules layer of CLAUDE.md — instead of handing you a generic schema.
  • Ingests sell-side reports, earnings-call transcripts and meeting notes through a 5-checkpoint human-in-the-loop SOP, and builds post-earnings prediction→fulfillment review pages.

Who it's for

  • Individual investors and analysts tracking companies, industries, macro and analysts over time
  • Markdown/Obsidian vault users whose notes lack structure and maintenance discipline
  • Anyone who wants their personal investing criteria written down so the AI works by those criteria

Examples

  1. "Build me an investment research wiki from scratch" → scaffolds the vault, then interviews you across 8 dimensions to author your own CLAUDE.md
  2. "Ingest this broker report into my wiki" → splits it into company/industry/analyst pages and wires up the wikilinks per the ingest SOP
  3. "Earnings just dropped — review whether last quarter's thesis played out" → produces a prediction-vs-outcome review page

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/daymade/claude-code-skills/HEAD/llm-wiki-setup/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on AI Skill Mart.
Copy the llm-wiki-setup folder from the GitHub repo daymade/claude-code-skills into my ~/.claude/skills/llm-wiki-setup/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/daymade/claude-code-skills.git && mkdir -p ~/.claude/skills && cp -r claude-code-skills/llm-wiki-setup ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal and clone the repo: git clone https://github.com/daymade/claude-code-skills.git
  2. Create the skills folder: mkdir -p ~/.claude/skills
  3. Copy the skill in: cp -r claude-code-skills/llm-wiki-setup ~/.claude/skills/
  4. Make sure Python 3 and uv are installed (needed by the lint script). If not: pip install uv.
  5. Restart Claude Code and ask: "Set up an investment research LLM Wiki for me".
  6. When asked for a target directory, provide one, then answer the interview questions in your own words. Do not copy the files in examples/ — the skill explicitly forbids it.
  7. Once the vault exists, run git init inside it and git config core.hooksPath .githooks to enable the lint hook.
View source on GitHub ↗License: MIT