blitz-list-builder
Skill1 starsChanged 2 months agoMITView on GitHub
Use when a list of company domains already exists (competitors, Google Maps export, named accounts) and the job is finding the owner, founder, CEO, or VP at each one via the Blitz API. Best for SMB owner-finding and named-account ABM. Also use when Prospeo's title-first search misses small companies.
- Reads credentials
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 1 is distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 17
If you already know the target companies (from Google Maps, a CSV of competitors, or a manually-curated list), Blitz finds the people for …
- Very specific: line 98
Default keywords (owner, founder, ceo, president, cto, vp) are broad.
- Very specific: line 128
Before pulling more than 500 companies' worth of contacts, sample ~50 and run /icp-prompt-builder on them:
- Very specific: line 166
After the scorecard, proceed to /campaign-copywriting → /smartlead-campaign-upload-public.
- Very specific: line 168
Or wait: if the required /icp-prompt-builder step (above) showed <40% qualification rate, your source list of domains is off.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Blitz List Builder
Prospeo is title-first: "all VPs of Marketing in B2B SaaS." Blitz is domain-first: "for each of these 500 restaurant domains, find the owner."
If you already know the target companies (from Google Maps, a CSV of competitors, or a manually-curated list), Blitz finds the people for you.
When to use Blitz vs Prospeo
| Your situation | Use |
| "I have 5,000 domains, find the owners" | Blitz |
| "Find all CFOs at US SaaS companies 100-500 employees" | Prospeo |
| "I need to supplement Prospeo results with additional contacts at the same companies" | Blitz |
| "I want the widest net possible in a vertical" | Prospeo |
| "I'm targeting specific named accounts (ABM)" | Blitz |
Often: use Prospeo to build the initial list, then Blitz to add 1-2 more contacts per company.
Prerequisites
- Blitz API key (env:
BLITZ_API_KEY) — sign up at their website - List of target company domains (CSV with a
company_domaincolumn, or one domain per line)
Inputs
--domains-file=<path>— CSV or txt with company domains (one per line, or a column namedcompany_domain)--titles=<csv>— comma-separated title keywords to filter (default:owner,founder,ceo,president,cto,vp)--out=<path>— CSV output path
Outputs
CSV with columns: company_domain, first_name, last_name, job_title, linkedin_url, email, email_source, company_name, company_industry, company_headcount, company_phone
Email will be populated when Blitz returns one. Use /email-waterfall skill on the output to fill in missing emails via Prospeo/ZenRows/etc.
Usage
export BLITZ_API_KEY=xxx
# Pull owner/founder/CEO contacts for 5000 SMB domains
npx tsx scripts/find-contacts.ts \
--domains-file=restaurants.csv \
--titles=owner,founder,ceo,general-manager \
--out=restaurant-owners.csv
# Domain-first discovery with custom title match
npx tsx scripts/find-contacts.ts \
--domains-file=saas-companies.txt \
--titles=vp-marketing,head-of-growth,cmo,director-marketing \
--out=saas-marketers.csvAPI overview
Blitz has two main endpoints we use:
Company enrichment (find employees):
POST {BLITZ_BASE_URL}/api/enrichment/company
Body: { "domain": "acme.com" }
Response: { employees: [{ first_name, last_name, title, linkedin_url, email }], company: { name, industry, headcount, phone } }Email enrichment (find email for a LinkedIn URL):
POST {BLITZ_BASE_URL}/api/enrichment/email
Body: { "linkedin_profile_url": "https://linkedin.com/in/..." }
Response: { email: "...", status: "verified" }Rate limiting
The script throttles at 30 requests/second with concurrency 10. This matches Blitz's published limits. If you see 429s, lower the concurrency flag.
Hit rate expectations
Rough benchmarks (from real campaigns):
- SMBs (restaurants, clinics, salons): 70-80% contact-found rate, 40-60% email-found
- B2B tech (10-500 employees): 80-90% contact-found, 50-70% email-found
- Enterprise (>1000 employees): 90%+ contact-found, but filtering for the RIGHT person matters more than the found-rate
- Solo operators / micro-businesses: 30-50% — often no public LinkedIn
Title filtering — write specific keywords
Default keywords (owner, founder, ceo, president, cto, vp) are broad. Narrow them per campaign:
# Restaurants
--titles=owner,operator,general-manager
# SaaS RevOps
--titles=revops,revenue-operations,vp-sales,director-sales
# Dental practices
--titles=dentist,owner,practice-manager
# Law firms
--titles=partner,managing-partner,principalThe script does case-insensitive substring match. "vp" matches "VP Sales" but also "VP Product" — narrow further if that's too loose.
Common gotchas
- Domain must be just the bare domain. Blitz wants
acme.com, nothttps://acme.com/orsub.acme.com. - Huge companies return truncated employee lists. Blitz caps at ~50-100 employees per domain. For enterprise-heavy lists, use Prospeo or LinkedIn search instead.
- Stale LinkedIn data. Blitz's cache can be 3-12 months old. Job titles may have changed. Validate with the email waterfall.
- No email returned ≠ person unreachable. 40% of hits have no email. Feed them to
/email-waterfall— it'll try Prospeo + ZenRows. - Rate-limit errors. 429 = you hit the cap. Script retries with exponential backoff, but long bursts still fail.
Required step: Qualify with /icp-prompt-builder
This is a required step. Do not skip it.
Before pulling more than 500 companies' worth of contacts, sample ~50 and run /icp-prompt-builder on them:
- Evaluates the first 10 with an AI qualification prompt
- You give corrections ("this one should be NO because they're a competitor")
- Refines the prompt, runs next 10
- Stops after 2 rounds with zero corrections — prompt is tuned
- Apply the tuned prompt to the remaining leads to filter before paying for email enrichment
Why it's required: Blitz contact-finding is cheap, but email enrichment downstream is not. A typical 5,000-contact run costs $150+ in email-finding API calls. If 40% of your list is wrong-fit, you burn ~$60 finding emails at companies that will never convert. The ICP prompt builder takes 10-15 min and saves that.
How to skip safely: you can't. If you're sure your list is already perfectly qualified (e.g., it came from a curated seed list of named accounts you want to pitch), run /icp-prompt-builder anyway on 10 of them and confirm your existing qualification matches — the prompt builder becomes a sanity check instead of a filter.
Cost
Per Blitz pricing (check their current rates):
- Company enrichment: ~$0.02-0.05 per domain
- Email enrichment: ~$0.05-0.10 per email
5,000 domains = ~$150 for contacts alone. Plan your budget.
Output → next step
Once you have the CSV, the typical flow:
- Deduplicate — remove duplicate emails, duplicate LinkedIn URLs
- Filter — drop rows where
job_titledoesn't cleanly match your ICP - Fill missing emails — run
/email-waterfallon rows with emptyemail - Validate — run MillionVerifier on all emails (see
/email-waterfallscript) - Upload — pass to Smartlead via
/cold-email-starter-kitscriptsmartlead-add-leads.ts
Scripts
scripts/find-contacts.ts— main batch enrichment script
What to do next
Run /email-waterfall to fill in emails for rows Blitz didn't return. Then /list-quality-scorecard to grade the final list.
After the scorecard, proceed to /campaign-copywriting → /smartlead-campaign-upload-public.
Or wait: if the required /icp-prompt-builder step (above) showed <40% qualification rate, your source list of domains is off. Fix that before spending more Blitz credits.
Related skills
/icp-prompt-builder— qualify the contacts this skill returns BEFORE running email waterfall/prospeo-full-export— the title-first alternative/google-maps-list-builder— for local-business domain lists/disco-like— lookalike companies from seed domains/email-waterfall— when Blitz doesn't return an email/cold-email-starter-kit→06-list-building-prospeo.mdfor broader list-building context
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- growthenginenowoslawski/coldoutboundskills★ 75984% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository58 other files it gives its agents.
- abm-measurementSkill
- abm-retargetingSkill
- abm-target-accountsSkill
- auto-research-publicSkill
- b2b-cold-email-copywritingSkill
- buying-committee-mapperSkill
- campaign-copywritingSkill
- campaign-strategySkill
- champion-move-detectionSkill
- clay-playbooksSkill
- closed-won-replication-playSkill
- cold-email-kickoffSkill
- cold-email-starter-kitSkill
- cold-email-weekly-rhythmSkill
- competitor-engagersSkill
- deliverability-incident-responseSkill
- deliverability-test-publicSkill
- disco-likeSkill
- email-deliverability-auditSkill
- email-gateway-detectionSkill
- email-waterfallSkill
- experiment-designSkill
- google-maps-list-builderSkill
- icp-onboardingSkill
- icp-prompt-builderSkill
- lead-magnet-brainstormSkill
- list-builderSkill
- list-expanderSkill
- list-quality-scorecardSkill
- personalization-subagent-patternSkill
- playbook-ad-librarySkill
- playbook-ai-specificitySkill
- playbook-case-study-pageSkill
- playbook-company-name-cleaningSkill
- playbook-creative-ideasSkill
- playbook-first-name-cleaningSkill
- playbook-fundraisingSkill
- playbook-google-site-searchSkill
- playbook-hiring-surgeSkill
- playbook-job-posting-languageSkill
- playbook-linkedin-engagementSkill
- playbook-lookalikesSkill
- playbook-name-to-other-prospectsSkill
- playbook-new-in-roleSkill
- playbook-pricing-pageSkill
- playbook-social-link-findingSkill
- playbook-social-postsSkill
- playbook-tech-on-websiteSkill
- playbook-warm-introsSkill
- positive-reply-scoringSkill
- prospeo-full-exportSkill
- prospeo-search-apiSkill
- smartlead-apiSkill
- smartlead-campaign-upload-publicSkill
- smartlead-inbox-managerSkill
- smartlead-spintaxSkill
- spam-word-checkerSkill
- zapmail-domain-setup-publicSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

