Analyze A/B test results for statistical significance with ship, extend, or kill recommendations
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Takes raw leads and enriches them to outreach-ready status. Chains company-researcher, cro-auditor, decision-maker-finder, apollo-lead-finder, email-validator, and personalization-enricher.
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Takes leads in NEW stage and enriches them through research, contact discovery, email validation, and personalization. Moves them to OUTREACH_READY.
agency.config.json populated (tools, ICP, CRM)signal-to-lead)company-researcher -- business researchcro-auditor -- website auditdecision-maker-finder -- find contactsapollo-lead-finder or manual enrichment -- get email/phone/LinkedInemail-validator -- validate emailspersonalization-enricher -- build personalization packet (for HOT leads)Read agency.config.json:
tools.lead_enrichment -- determines enrichment methodtools.email_validation -- determines validation methodcrm.tabs -- where to read/write leadsQuery CRM for leads with stage = NEW, sorted by score (HOT first).
Ask user:
For each lead, execute company-researcher:
For each lead with a website, execute cro-auditor:
For each lead, execute decision-maker-finder:
tools.lead_enrichment:APPROVAL GATE (API path only): "About to enrich N contacts using N Apollo credits. Proceed?"
Execute email-validator for all discovered emails:
APPROVAL GATE: "About to validate N emails using N credits. Proceed?"
For leads scored HOT, execute personalization-enricher:
WARM leads skip this step (Tier 2 personalization at message generation).
For each lead:
ENRICHMENT PIPELINE SUMMARY
---
Leads processed: N
Company research completed: N
CRO audits completed: N
Decision makers found: N contacts across M companies
Emails validated: N (X valid, Y catch-all, Z invalid)
Personalization packets built: N (HOT leads)
Credits used:
- Apollo: N credits
- ZeroBounce: N credits
Leads now OUTREACH_READY: N
Next step: Run /outreach-draft-pipeline to generate messages
Trigger phrases:
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Analyze A/B test results for statistical significance with ship, extend, or kill recommendations
中文简介正在准备中。当前显示原文说明。
Reallocate ad budget across campaigns and channels using ROAS and marginal return analysis
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Generate structured creative briefs for ad designers with brand-consistent direction
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Mine winning ad angles, hooks, and creative patterns from top-performing ads
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Monitor competitor ads across Meta, Google, and LinkedIn with strategic analysis
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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.
中文简介正在准备中。当前显示原文说明。