Documentation
README
Codex adapter note
This skill is generated from skills/quality-screen.md so Claude Code and Codex users share one canonical workflow.
This is the opening of the README. Read the full README on GitHub.
Quality Screen is a Data skill for Claude Code, published by xbtlin in ai-berkshire.
Quality Screen applies seven elimination indicators to quickly exclude companies that do not meet first-class standards. Use it for individual stocks, industries, indices, or themes to get a pass/fail summary and sector quality ranking.
Quality Screen is cataloged under Data on DirSkills. Quality Screen comes from a repository tagged ai, ai-agent, anthropic, berkshire-hathaway and charlie-munger.
Documentation
This skill is generated from skills/quality-screen.md so Claude Code and Codex users share one canonical workflow.
This is the opening of the README. Read the full README on GitHub.
Quality Screen is one of 21 skills that DirSkills catalogs from xbtlin/ai-berkshire, the repository it ships in. Its siblings there include Bottleneck Hunter, Buffett Value Investing Checklist and Deep Company Series. Each one is a separate skill with its own page in this directory, installs the same way Quality Screen does, and is maintained by xbtlin in that same repository. The rest of the collection is listed on the xbtlin/ai-berkshire page.
Quality Screen ranks #111 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Quality Screen against them. Open each page to compare what they document and how they install.
Quality Screen is one of 21 skills cataloged on DirSkills from xbtlin/ai-berkshire.
Quality Screen is one of 668 Data skills cataloged on DirSkills, ranked #111 by stars among them.