Individual skill
list-expander
Expand a hard-to-build niche list from ~10 known-good seed companies into a full qualified TAM. Seed fingerprinting (how do good-fit companies ACTUALLY show up in the company database's filters) → lookalike generation (Prospeo company_lookalike, Exa findSimilar, Parallel.ai entity search) → filter mining with a precision/volume scorecard → wide pull with auto-sharding → cheap-AI qualification → live-website verification → client transparency report. Use when a vertical list feels "too small" (medical groups, hedge funds, Medicare brokerages), when known good-fit companies don't show up in keyword searches, or when someone says "expand this list", "the TAM should be bigger", "find more companies like these".
skills/list-expander/SKILL.md
Source commit 25c5d85fbb5dd3efec97b0ca457cbbc286547476
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 10, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 809
- Repository last updated
- Oct 5, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- data Derived category
- data-databases Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 10,832 bytesSKILL.mdcore · 10,832 bytesSKILL.mdcore · 10,832 bytesSKILL.mdcore · 10,832 bytesSKILL.mdcore · 10,832 bytesSKILL.mdcore · 10,832 bytesSKILL.mdcore · 10,832 bytesSKILL.mdcore · 10,832 bytesscripts/contact-count.tsruns · 3,316 bytesscripts/fingerprint.tsruns · 4,348 bytesscripts/lib.tsruns · 20,814 bytesscripts/lookalikes.tsruns · 6,997 bytesscripts/mine-filters.tsruns · 9,136 bytesscripts/pull.tsruns · 6,835 bytesscripts/report.tsruns · 7,735 bytesscripts/score-batch.tsruns · 8,261 bytesscripts/verify-website.tsruns · 7,563 bytes
Read excerpt
# List Expander — seed companies → lookalikes → mined filters → qualified TAM
## The problem this solves
Niche lists come out tiny because we search databases with narrow explicit keywords, but real
good-fit companies (e.g. Atlantic Medical Group, Hackensack Meridian) often don't carry that
keyword in their database record. Instead of guessing keywords top-down, this skill works
bottom-up: take companies you KNOW fit, discover how the database actually tags them, expand via
lookalike engines, and only then derive the wide-net filters — with measured precision per filter
— before pulling and AI-qualifying at scale.
## Pipeline (5 phases)
All scripts live in `scripts/`, run with `npx tsx`, and are dependency-free (node ≥ 18 native