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- lead qualification scoring agent
lead qualification scoring agent
A rigorous lead scoring system that prioritizes sales pipelines based on evidence, fit, and economic intent.
$5
Works with the AI tools you already use
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
| Item | Value | Status |
|---|---|---|
| Lead A Revenue | $10M | Supported |
| Lead A Problem | Traffic Drop | Verified |
| Lead B Revenue | Unknown (Startup) | Hypothesis |
| Lead B Authority | CEO | Verified |
3. Lead Comparison Analysis
| Dimension | Lead A Score | Lead B Score | Why It Matters |
|---|---|---|---|
| Firmographic Fit | 5 | 1 | $10M brands have the margin for $5k audits; 2-person startups rarely do. |
| Problem Evidence | 5 | 2 | Lead A explicitly stated a pain point; Lead B is asking for general advice. |
| Budget/Economic | 4 | 0 | Lead A's scale suggests budget availability; Lead B is signaling $0 intent. |
| Timing Signal | 5 | 1 | Lead 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
| Question | Evidence Needed | Cheapest Test | Pass Signal |
|---|---|---|---|
| Does Lead A have budget? | Verbal confirmation | Ask "Do you have a budget allocated for recovery?" | "Yes, we need this fixed now." |
| Is Lead B a buyer? | Willingness to pay | Send a link to a $99 mini-audit | Lead B purchases the mini-audit. |
Next steps
- Draft the Loom script for Lead A focusing on the traffic recovery.
- Send the automated "Free Resource" email to Lead B to protect your calendar.
- Check Lead A's LinkedIn for the Head of Growth to include in the CC.
lead-qualification-scoring-agent.pdf
PDF · document
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
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.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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