Analyze A/B test results for statistical significance with ship, extend, or kill recommendations
日本語の概要は準備中です。原文の説明を表示しています。
Find 5 decision makers at a company via Apollo.io UI using Chrome DevTools MCP. No enrichment, no credits used.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Finds 5 decision makers at a target company using Apollo.io UI via Chrome DevTools MCP. Search only, no enrichment, no credits consumed.
agency.config.json at repo root with icp.segments[].titles, icp.segments[].seniority, and tools.lead_enrichmentmcp__chrome-devtools__*)agency.config.json from the project root.icp.segments[] -- each segment's titles and seniority arraystools.lead_enrichment.tool -- must be "apollo"tools.lead_enrichment.access -- must be "chrome_devtools"tools.lead_enrichment.contacts_per_company -- number of contacts to find (default: 5)tools.browser_automation -- Chrome DevTools MCP configcompany_name -- (required) the target companywebsite -- (optional) company website domaincompany_size -- (optional) if known, skip the size detection stepsegment -- (optional) which ICP segment to use for title targetingmax_contacts -- (optional) how many contacts to return (default: 5)If company_size is not provided, determine it:
WebSearch:
"{{company_name}}" "employees" OR "team size" OR "people" site:linkedin.com/company"{{company_name}}" employees site:crunchbase.com"{{company_name}}" "about us" "team"Classify into size tiers:
Based on company size, determine which titles to target:
Primary targets:
Rationale: Small companies have flat hierarchies. The founder decides on agency partnerships.
Primary targets:
Rationale: Mid-market companies have functional leads. Target the person who owns the ecommerce P&L or the marketing budget.
Primary targets:
Rationale: Large companies have multiple layers. Target VP+ who can approve agency contracts without escalating.
Cross-reference these defaults with the icp.segments[].titles and icp.segments[].seniority arrays from config to ensure alignment with the agency's actual target persona.
Use Chrome DevTools MCP to search Apollo.io UI. This is the ONLY path. No API, no WebSearch fallback.
mcp__chrome-devtools__navigate_page to https://app.apollo.io/mcp__chrome-devtools__fill company filter with {{company_name}}mcp__chrome-devtools__fill title filter with target titles from Phase 2mcp__chrome-devtools__click search/apply filtersmcp__chrome-devtools__wait_for results to loadmcp__chrome-devtools__take_snapshot to read resultsIf fewer than 5 results: accept what Apollo returns. Note the shortfall.
For each found contact, record:
email-validator (Snov.io) skill.phone-finder (Lemlist) skill.DO NOT attempt to enrich or find emails at this stage. That's handled by downstream skills.
Rank the found contacts:
Sort by total priority score, descending.
Return structured JSON:
{
"company": "BrandX",
"website": "https://brandx.com",
"company_size": "Mid-market (120 employees)",
"size_tier": "mid-market",
"targeting_rationale": "Mid-market company, targeting Head/Director of Ecommerce or VP Marketing.",
"contacts": [
{
"name": "Jane Doe",
"title": "Head of Ecommerce",
"linkedin_url": "https://linkedin.com/in/janedoe",
"confidence": "HIGH",
"method_used": "apollo_chrome_devtools",
"priority_score": 27,
"notes": "Joined 4 months ago. Likely building her vendor stack."
}
],
"recommended_contact": "Jane Doe -- Head of Ecommerce, highest priority score",
"searched_at": "2026-03-16T09:30:00Z"
}
Use crm-writer to log the decision maker data to the Pipeline tab. Write: company, contact name, title, LinkedIn URL, confidence, found_at timestamp.
No approval gate. Contacts are logged directly.
Trigger phrases:
User: Find the decision maker at BrandX
Assistant: [reads config, determines company size = mid-market, targets Head of Ecommerce / VP Marketing, searches via Apollo Chrome DevTools MCP, returns 5 prioritized contacts]
User: Who should I email at this 10-person startup?
Assistant: [size = early-stage, targets Founder/CEO, searches via Apollo Chrome DevTools MCP, returns contacts]
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Analyze A/B test results for statistical significance with ship, extend, or kill recommendations
日本語の概要は準備中です。原文の説明を表示しています。
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Interactive onboarding wizard that generates agency.config.json for any B2B agency. Asks structured questions about the agency, services, ICP, tools, outreach preferences, and CRM setup. Outputs a complete config file.
日本語の概要は準備中です。原文の説明を表示しています。