Individual skill

first-customer-finder

Find evidence-backed potential first customers, beta users, or design partners from public demand signals. Use for product-specific prospect research, qualified shortlists, source-grounded outreach drafts, and follow-up searches refined by the user's feedback and local prospect history. Does not send outreach automatically.

first-customer-finder/SKILL.md

Read pinned source

Source commit d3f6964bd989745ac183edbd545c588a68451146

What was checked

Matches the observed repository HEAD: Yes
Scanner rules are current: No
Repository scan complete: No
Skill scan complete: No
Observed behavior: Not checked yet
Last checked: Nov 3, 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): 1,222
Repository last updated: Sep 19, 2026
License: MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

codex Repository topic
codex-skill Repository topic
customer-discovery Repository topic
early-adopters Repository topic
prospecting Repository topic
startup Repository topic
design Derived category
sales Derived category
research 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 · 9,310 bytes
SKILL.mdcore · 9,310 bytes
SKILL.mdcore · 9,310 bytes
SKILL.mdcore · 9,310 bytes
agents/openai.yamlasset · 295 bytes
references/feedback-and-history.mddoc · 4,884 bytes
references/report-artifact.mddoc · 7,308 bytes
references/research-framework.mddoc · 5,754 bytes
scripts/generate_report.pyruns · 20,992 bytes
scripts/prospect_data.pyruns · 14,409 bytes
scripts/prospect_history.pyruns · 2,779 bytes
scripts/report_exports.pyruns · 7,554 bytes

Read excerpt


# First Customer Finder

Turn a startup URL or product description into a short, evidence-backed list of plausible first customers. Use public signals, preserve privacy, and distinguish a prospect from a confirmed buyer.

Read [references/research-framework.md](references/research-framework.md) before researching or scoring prospects and [references/report-artifact.md](references/report-artifact.md) before creating the final report. For saved history, feedback, or a repeat search, also read [references/feedback-and-history.md](references/feedback-and-history.md).

Use English by default; follow an explicit language request. Keep the chat handoff short and put the useful detail in the report. Research requires available web search/browser tools; the bundled Python helpers only validate, export, and manage local files. If live browsing is unavailable, report that limitation instead of inventing leads.

## Workflow

### 1. Understand the product

- Inspect the supplied URL, repository, landing-page copy, or product description.
- Identify the product, outcome, buyer, user, price or buying motion, geography, and strongest use case.