destiny520537work-lab/fate-skill — explained in plain English
Analysis updated 2026-05-18
Paste the SKILL.md content into an AI chat to analyze a stock from three different perspectives.
Set up the framework once in Claude Projects so it stays available across new conversations.
Install it as an Agent Skill in a compatible AI coding tool with a one-line command.
Read the individual persona documents to study different investment analysis frameworks.
| destiny520537work-lab/fate-skill | 09catho/axon | 0x1-1/revival | |
|---|---|---|---|
| Stars | 13 | 13 | 13 |
| Language | — | JavaScript | C++ |
| Setup difficulty | easy | moderate | hard |
| Complexity | 1/5 | 4/5 | 5/5 |
| Audience | general | researcher | developer |
Figures from each repo's GitHub metadata at analysis time.
No installation required beyond copying a markdown file or running the one-line Agent Skills install command. Outputs are explicitly not investment advice.
This repository contains a market analysis framework designed to be loaded into AI chat tools such as Claude, Cursor, or Codex. The framework is described as educational only and explicitly states that nothing it produces should be treated as investment advice. The project is written primarily in Chinese, though an English README is also referenced. The core idea is a set of three fictional analytical personas, each representing a different way of thinking about a stock or market situation. Seri focuses on supply chain structure: instead of looking at price charts, she traces the full AI hardware supply chain to find the single bottleneck node that cannot easily be replaced. Daoshi takes the macro view first, asking about interest rate direction, global liquidity, and geopolitical risk before touching any individual stock. Cat handles execution and timing: she classifies today as a trending day, a range day, or a news day, confirms a breakout with volume, and applies strict position-size rules before acting. The three personas are not real people. The README is explicit that they are composite archetypes assembled from widely-discussed public investment frameworks. No real identities, account histories, or performance records are attached to them. To use the framework, you copy the contents of a file called SKILL.md and paste it into a new AI conversation as context, then ask your question. The README also shows how to set this up once inside Claude Projects so you do not have to paste on every new session. An Agent Skills-compatible install command is provided for runtimes that support that protocol, including a one-line npx command. The repository includes separate documentation files for each persona, plus a combined file that walks through a three-step decision flow: macro environment first, then supply-chain stock selection, then technical entry timing. The README contains several fictional example dialogues showing how each persona responds differently to the same question about whether to buy a particular stock.
A set of three fictional AI personas you load into Claude, Cursor, or Codex to analyze stocks from different angles: supply chain, macro trends, and trade timing. Educational only, not investment advice.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.