lead qualification scoring agent

    1

    A rigorous lead scoring system that prioritizes sales pipelines based on evidence, fit, and economic intent.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    lead qualification scoring agent

    Example session with this skill installed

    I have two leads for my $5k SEO audit. Lead A: E-commerce manager at a $10M brand, just posted about traffic drops. Lead B: CEO of a new 2-person startup, asking for 'free advice'. Score them.

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

    I have analyzed these two leads against your $5k SEO audit offer. Lead A shows strong evidence of problem and fit, while Lead B is a high-risk time investment with low economic alignment.

    Lead Qualification Analysis

    1. Decision Snapshot

    Lead A is a high-priority prospect with a verified timing signal (traffic drop) and firmographic fit ($10M revenue). Lead B lacks the economic scale for a $5k offering and currently matches the profile of a "free seeker" rather than a qualified buyer.

    2. Inputs & Assumptions

    ItemValueStatus
    Lead A Revenue$10MSupported
    Lead A ProblemTraffic DropVerified
    Lead B RevenueUnknown (Startup)Hypothesis
    Lead B AuthorityCEOVerified

    3. Lead Comparison Analysis

    DimensionLead A ScoreLead B ScoreWhy It Matters
    Firmographic Fit51$10M brands have the margin for $5k audits; 2-person startups rarely do.
    Problem Evidence52Lead A explicitly stated a pain point; Lead B is asking for general advice.
    Budget/Economic40Lead A's scale suggests budget availability; Lead B is signaling $0 intent.
    Timing Signal51Lead A has an active fire to put out; Lead B is in an exploration phase.

    4. Key Risks / Gaps

    • Lead A Authority: We know the contact is a manager, but not if they have the $5k signing authority.
    • Lead B Intent: The "free advice" request is a primary disqualifier for a paid service.
    • Data Confidence: High for Lead A's problem; low for Lead B's actual funding status.

    5. Recommended Next Move

    Primary Action: Send a tailored Loom video to Lead A highlighting one specific technical SEO error contributing to their traffic drop.

    Supporting Action: Set a hard boundary for Lead B by sending a link to a free resource or blog post instead of a meeting.

    • Supporting Action: Verify the reporting structure for Lead A to identify the VP of Marketing.

    6. Validation Plan

    QuestionEvidence NeededCheapest TestPass Signal
    Does Lead A have budget?Verbal confirmationAsk "Do you have a budget allocated for recovery?""Yes, we need this fixed now."
    Is Lead B a buyer?Willingness to paySend a link to a $99 mini-auditLead B purchases the mini-audit.

    Next steps

    1. Draft the Loom script for Lead A focusing on the traffic recovery.
    2. Send the automated "Free Resource" email to Lead B to protect your calendar.
    3. Check Lead A's LinkedIn for the Head of Growth to include in the CC.

    lead-qualification-scoring-agent.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

    Prioritize high-intent leads to increase sales team efficiency.Identify missing qualification data before wasting time on discovery calls.Apply a consistent 0-5 rubric to remove bias from pipeline reporting.Filter out low-budget prospects using explicit disqualification rules.

    About this skill

    The problem

    Sales teams and founders often waste hours chasing prospects who lack the budget or authority to buy. Without a consistent way to separate high-intent signals from noise, pipelines become bloated with leads that never close.

    What it does

    • Qualifies leads against a structured 0-5 rubric covering fit, need, authority, and timing.
    • Creates an evidence ledger to distinguish verified facts from assumptions and hypotheses.
    • Calculates a data confidence score to highlight where you are guessing versus where you have proof.
    • Generates a specific validation plan to resolve high-impact uncertainties with low-cost tests.
    • Ranks leads to identify exactly which prospect should be contacted first based on economic fit.

    Why this beats prompting it yourself

    General LLMs often suffer from "optimism bias," treating every lead as a great opportunity. This skill enforces an analytically strict quality gate and an evidence-based ledger that prevents the agent from inventing market data or ignoring disqualifiers. It transforms vague lead descriptions into a prioritized action plan with clear "Pass/Fail" signals for your next outreach.

    Use cases

    • Prioritizing a list of inbound demo requests to focus on high-value accounts.
    • Auditing an agency sales pipeline to identify which deals are stalled due to lack of authority.
    • Scoring cold outreach prospects based on firmographic fit and recent timing signals.
    • Determining the cheapest way to validate a lead's problem evidence before a discovery call.

    Known limitations

    Cannot access live CRM data, LinkedIn profiles, or private databases without authorized external tools. Does not provide legal or regulated financial advice.

    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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    Recently published to Agensi

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    Verified clean 11 days ago

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    Listed11 days ago

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