customer-discovery
Discover all customers of a given company by scanning websites, case studies, review sites, press, social media, job postings, and more. Use when you need competitive intelligence on who a company sells to.
npx skills add majiayu000/claude-skill-registry --skill customer-discovery-athina-ai-goose-skills --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Customer Discovery Find all customers of a company by scanning multiple public data sources. Produces a deduplicated report with confidence scoring. ## Quick Start ``` Find all customers of Datadog ``` ``` Who are Notion's customers? Use deep mode. ``` ## Inputs | Input | Required | Default | Description | |-------|----------|---------|-------------| | Company name | Yes | — | The company to research | | Website URL | No | Auto-detected | The company's website URL | | Depth | No | standard | `quick`, `standard`, or `deep` | ## Procedure ### Step 1: Gather Inputs Ask the user for: 1. **Company name** (required) 2. **Company website URL** (optional — if not provided, WebSearch for it) 3. **Depth tier** — present these options, default to Standard: - **Quick** (~2-3 min): Website logos, case studies, G2 reviews, press search - **Standard** (~5-8 min): Quick + blog posts, Wayback Machine, LinkedIn, Twitter, Reddit, HN, job postings, YouTube - **Deep** (~10-15 min): Standard + SEC filings, podcasts, GitHub, integration directories, BuiltWith, Crunchbase ### Step 2: Create Output Directory ```bash mkdir -p customer-discovery-[company-slug] ``` ### Step 3: Run Sources for Selected Tier
- Quick Start
- Inputs
- Procedure
- Step 1: Gather Inputs
- Step 2: Create Output Directory
- Step 3: Run Sources for Selected Tier
- Step 4: Deduplicate Results
- Step 5: Assign Confidence
- Step 6: Generate Report
- Scripts Reference
- Cost
mkdir -p customer-discovery-[company-slug] python3 skills/capabilities/customer-discovery/scripts/scrape_website_logos.py \ python3 skills/capabilities/review-scraper/scripts/scrape_reviews.py \ python3 skills/capabilities/customer-discovery/scripts/scrape_wayback_logos.py \ python3 skills/capabilities/customer-discovery/scripts/search_builtwith.py \
What does the customer-discovery skill do?
Discover all customers of a given company by scanning websites, case studies, review sites, press, social media, job postings, and more. Use when you need competitive intelligence on who a company sells to.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill customer-discovery-athina-ai-goose-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.