Small Cap Deepdive — Development skill for Claude Code
Theme-driven small-cap deep-dive Claude Code skill: enumerate a theme's small-cap universe from SEC filings, mechanically de-risk (going-concern / death-spiral / material-weakness), then run disciplin.
How to install Small Cap Deepdive
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open DaizeDong/small-cap-deepdive and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Small Cap Deepdive does
Theme-driven small-cap deep-dive Claude Code skill: enumerate a theme's small-cap universe from SEC filings, mechanically de-risk (going-concern / death-spiral / material-weakness), then run disciplined, falsifiable due diligence with forced disconfirmation and base-rate priors. Discipline as moat, not a stock picker.
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README
small-cap-deepdive
Mechanically de-risk the SEC small-cap universe for a theme or ticker, kill the landmines, then deep-dive the survivors.
[](https://docs.anthropic.com/en/docs/claude-code) [](LICENSE) [](#-read-this-first--the-design-philosophy) [](https://github.com/dgunning/edgartools) [](#languages) [](ROADMAP.md)
[English](README.md) | [中文版](README_CN.md)
⭐ Read this first, the design philosophy
**Being neglected is not the same as being undervalued.**
Why that is true, and what it takes for a neglected name to also be mis-priced: [`reference/cognitive-priors.md`](reference/cognitive-priors.md) §1.
**The output is a landmine-scanner, not a buy list.**
What a top-ranked name does and does not entitle you to conclude: [`reference/cognitive-priors.md`](reference/cognitive-priors.md) §5.
**Zero buys is a feature, not a bug.**
If a theme produces no score-4+ candidates, the tool is telling you the small-cap universe for that theme does not contain clean industrial beneficiaries at this time. That is a correct and useful answer. A scanner that cannot say "nothing found" is not a scanner; it is a narrative generator.
The one-sentence version: **the tool's edge is mechanical discipline applied consistently across the full candidate set, not narrative synthesis on any individual company.** Every tool, invariant, and hard rule in this repo exists because of four principles, root-cause design (not symptom patching), Hybrid-not-thin (the data layer earns its keep), discipline-as-moat, an
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