A dozen ready-to-run recipes for your AI agent, covering the full pipeline: define an ICP, build a TAM, find decision makers, research accounts, enrich records, validate, and skip trace. Each one chains a few tools into a finished list. Describe the outcome, get a CSV.
Take all twelve
Real Claude Code skills, one folder each. Install into ~/.claude/skills/ or let your AI fetch them.
Or let your AI install them. Paste this:
Install the 12 ScraperCity agent skills for Claude Code. Fetch https://scrapercity.com/skills/README.md, then fetch each of these and save it to ~/.claude/skills/<name>/SKILL.md: https://scrapercity.com/skills/icp-list-builder/SKILL.md https://scrapercity.com/skills/tam-builder/SKILL.md https://scrapercity.com/skills/decision-maker-finder/SKILL.md https://scrapercity.com/skills/account-researcher/SKILL.md https://scrapercity.com/skills/local-business-list/SKILL.md https://scrapercity.com/skills/cold-email-list/SKILL.md https://scrapercity.com/skills/email-list-cleaner/SKILL.md https://scrapercity.com/skills/crm-enricher/SKILL.md https://scrapercity.com/skills/mobile-appender/SKILL.md https://scrapercity.com/skills/ecommerce-by-techstack/SKILL.md https://scrapercity.com/skills/skip-tracer/SKILL.md https://scrapercity.com/skills/recruiting-sourcer/SKILL.md. Then set up the ScraperCity MCP server from https://scrapercity.com/mcp and tell me how to run the first skill.Turn a few dream customers into a sharp ICP, then pull the matching contacts from the B2B database and tighten by title, seniority, industry, and location.
My best customers look like Series A fintech companies in the US. Build that ICP and pull heads of engineering, as a CSV.Pull every company in a market across the B2B database and the live scrapers, dedupe, and hand back the total addressable list with contacts attached.
Build my TAM for medical spas in Texas: every business with an owner email and a phone.Give a company or domain, find the people who own the buying decision, and attach verified emails and mobile numbers.
Find the VP of Sales and the CRO at these 50 companies, with verified emails.Build a short brief on a target company and its key people, including tech stack and contact details, before the first email goes out.
Research Acme Corp: who runs marketing, what tools they use, and how to reach them.Scrape Google Maps and Yelp for a category and city, keep the ones with a website and email, validate the emails, and export.
Build me a list of dentists in Austin with a website and a valid email, as a CSV.Start from domains or an ICP, find the right people, get verified emails, and validate before sending.
Find heads of marketing at these 200 domains, get their emails, and validate them.Run an old list through validation, drop the invalid and risky addresses, and return only the contacts that are safe to send to.
Here are 10,000 emails from last year. Verify them and give me back only the ones safe to send.Take a CRM export with missing fields, fill in emails, mobiles, titles, and company data, and hand back a complete file.
This CRM export is missing emails and phones. Fill in what you can and flag the rest.Give LinkedIn URLs or emails, get verified mobile numbers for the people your reps should be calling.
Find mobile numbers for these 300 LinkedIn profiles so my SDRs can dial them.Filter the ecommerce store database by platform, category, and installed apps, then export stores that have an email.
Give me Shopify apparel stores that use Klaviyo and have an email, as a CSV.Take a list of names or addresses, run skip tracing across public records, and return current phones and emails.
Here is a list of property addresses. Find the owners and their phone numbers.Source candidates by role, seniority, and company, then attach verified emails and mobiles for outreach.
Source senior React engineers in Toronto and give me their emails and mobiles.