#639 · Primary category: AI Agents & Automation
investorskills
Open-source library that turns durable investing judgment into portable, structured skills for AI finance agents.
Project last updated:08/23/26
GitHub Stars
1.6K
Forks
78
Contributors
1
License
MIT
Why we included this project
Investor Skills packages how well-known investors actually reason into plain-text skill files, so the judgment is already structured before an AI agent touches it. That makes it a useful starting point if you are building an agent that handles investing. Each skill is a SKILL.md package that spells out when to apply a model, what inputs it needs, how to run the process, and which guardrails to respect, with an optional invest.md schema covering signals, filters, sizing, and risk. Because the packages are plain markdown, they run in Claude Code, Codex, Cursor, or any harness that reads SKILL.md instructions, not just Questflow. Even if you skip the prebuilt skills, the templates and the documented schema give you a concrete way to turn your own judgment into something an agent can follow, and the examples plus the reading, podcast, and video lists are useful for stress-testing and enriching a skill before you rely on it.
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