income-investment

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AI Berkshire skill: Income Investment: Durable and Opportunistic Distribution Analysis. Source: skills/income-investment.md.

AI & Automation 14,533 stars 2040 forks Updated yesterday MIT

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Skill Content

## Codex adapter note This skill is generated from `skills/income-investment.md` so Claude Code and Codex users share one canonical workflow. - Treat `$ARGUMENTS` as the user's request in the current Codex thread. - When the source mentions Claude-only surfaces such as Task, Agent, WebSearch, Bash, Read, or Write, use the closest Codex capability available in this session: subagents when available, web search when needed, shell commands for local tools, and normal file edits for workspace files. - Use shared project tools from `tools/` in this repository. Prefer running commands from the repository root with paths like `python3 tools/financial_rigor.py ...`; if the current thread starts outside the repo, locate the actual checkout path first instead of assuming a fixed home-directory path. - Before starting research, run the `date` command to confirm today's date; treat it as the baseline for "latest" data and state the data cutoff date in the report header. Never assume the current date from training data. - Preserve the research quality rules from `AGENTS.md`: cross-check financial data, use exact arithmetic tools for valuation/math, and clearly label uncertainty and source gaps. # Income Investment: Durable and Opportunistic Distribution Analysis Analyze `$ARGUMENTS` to answer: > Can this company produce sufficiently durable and attractive distributable income to justify a portfolio role, either as a long-term income conviction or as an opportunistic yield position? ...

Details

Author
xbtlin
Repository
xbtlin/ai-berkshire
Created
3 months ago
Last Updated
yesterday
Language
Python
License
MIT

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