Works with the AI tools you already use

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    AI Lead Qualification Automation Skill

    1

    Automated lead scoring, ICP fit analysis, and routing logic for sales and marketing workflows.

    $5

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    AI Lead Qualification Automation Skill

    AI Lead Qualification Automation Skill

    Example session with this skill installed

    Qualify this lead: John Doe, CTO at TechGrowth (50 employees, SaaS industry). Downloaded our 'Scaling API Infrastructure' whitepaper twice. No budget mentioned. Use standard SaaS ICP.

    • Read your context and instructions
    • Compiled the ai lead qualification
    • Generated the document

    The lead shows strong firmographic fit but early-stage intent. High confidence in ICP alignment, low confidence in immediate purchase intent.

    Lead Qualification Summary

    • Lead: John Doe, CTO @ TechGrowth
    • Qualification status: Qualified (Marketing)
    • Total score: 62/100
    • Segment: High-Fit Nurture
    • Confidence: Medium
    • Recommended next action: Send 'API Performance Case Study'

    ICP Fit Analysis

    DimensionEvidenceAssessmentScore Impact
    IndustrySaaSStrong Fit+20
    RoleCTOStrong Fit+20
    Company Size50 employeesPartial Fit+10

    Intent Analysis

    SignalEvidenceStrengthScore Impact
    Content Engagement2x Whitepaper DownloadsModerate+12
    Direct RequestNoneN/A0

    Score Breakdown

    DimensionScoreWeightEvidence
    Fit500.6Matches core persona and industry.
    Intent120.4Educational content engagement only.

    Segment Decision

    The lead is categorized as

    High-Fit Nurture because while the persona (CTO) and industry (SaaS) are ideal, the actions taken (whitepaper downloads) indicate research behavior rather than a direct buying signal.

    Next Action

    • Action: Nurture via relevant case study
    • Reason: High fit suggests long-term value; lacks urgency for sales call.
    • Timing: Within 24 hours.
    • Required information: Budget, Timeline, Current API pain points.

    CRM-Ready Record

    {
  "lead_score": 62,
  "fit_status": "Strong",
  "intent_signal": "Low-Medium",
  "segment": "High-Fit Nurture",
  "recommended_action": "nurture_sequence_api",
  "missing_fields": ["budget", "timeline", "authority_level"]
}

    Next steps

    1. Add John Doe to the "Infrastructure Scaling" email sequence.
    2. Set a task for SDR to check LinkedIn engagement in 3 days.
    3. Update CRM lead record with the provided JSON data.

    ai-lead-qualification-automation-skill.pdf

    PDF · document

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Score inbound leads based on firmographic fit and engagement signals.Segment prospects into sales-ready vs. marketing-nurture categories.Identify missing qualification data points for SDR follow-up.Generate CRM-ready data packets for automated lead routing.

    About this skill

    The problem

    Sales teams waste hours manualy vetting low-quality leads, while high-intent prospects go cold due to slow response times. Inconsistent scoring models lead to misaligned handovers between marketing and sales.

    What it does

    • Evaluates lead data against your Ideal Customer Profile (ICP) across dimensions like industry, company size, and persona.
    • Calculates evidence-based scores for intent, urgency, and engagement using a transparent weighting system.
    • Segments leads into categories like Sales Ready, High-Fit Nurture, or Unqualified based on explicit gates.
    • Identifies high-value missing data and generates specific follow-up questions to bridge the gap.
    • Outputs CRM-ready fields and structured audit trails to justify every routing decision.

    Why this beats prompting it yourself

    Generic prompts often hallucinate intent or ignore missing data, leading to false positives. This skill enforces a strict evidence-only policy, ensuring that "Sales Ready" status is earned through verified signals rather than inferred guesses.

    Use cases

    • Automating the triage of inbound demo requests to ensure immediate routing to the right AE.
    • Cleaning and segmenting cold outreach lists based on firmographic fit.
    • Analyzing product-led growth (PLG) signals to identify high-intent trial users.

    Known limitations

    Does not perform third-party data enrichment (Clearbit/ZoomInfo) on its own. Requires provided ICP and scoring parameters to function at peak accuracy.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Security scanned

    Verified clean 12 days ago

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    Listed12 days ago

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