income-investment
FeaturedAI Berkshire skill: Income Investment: Durable and Opportunistic Distribution Analysis. Source: skills/income-investment.md.
AI & Automation 16,284 stars
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## 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
- 5 months ago
- Last Updated
- 3 days ago
- Language
- HTML
- License
- MIT
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