B2B Lead Qualification Scorecard Builder v1.0

Install

Start with the ZIP package, then choose the AI tool workflow that fits your setup.

1. Download b2b-lead-qualification-scorecard-builder.zip (6.4 KB).
2. Open the package and read SKILL.md, plus any included references, templates, or scripts.
3. Use the instructions directly in any AI tool that supports reusable instructions, project knowledge, custom agents, or uploaded reference files.

For Claude Code, unzip into ~/.claude/skills/ so the folder lands at ~/.claude/skills/b2b-lead-qualification-scorecard-builder/, then reload Claude Code. For Claude.ai, upload the same ZIP from Customize → Skills.

Use with other AI tools

This package is not locked to one vendor. If your AI tool does not support Claude-style skills, copy the core instructions from SKILL.md into the tool's custom instructions, project prompt, agent setup, or reusable prompt library.

• Upload or paste any included reference files as project knowledge where your tool supports it.
• Keep the output format from SKILL.md intact so results stay predictable.
• Run a small test with your own data before using the workflow in production.

Compatibility depends on the features your AI tool provides. Treat scripts as optional local helpers unless your environment can run them safely.

Claude installation reference

What it does

The B2B Lead Qualification Scorecard Builder is an AI workflow skill that automates the repetitive and often inconsistent work of judging which leads to contact first. Instead of skimming a spreadsheet and relying on gut feeling, you get a clean, data-driven scorecard that ranks every lead based on fit, intent, and timing—using clear fit, urgency, and timing criteria.

You provide a list of leads (from your CRM export, a CSV, or even a conference badge scan), and the skill scores each one, flags the hottest opportunities, and suggests a clear next step. It’s like having a senior SDR coach run triage on your pipeline in seconds.

The Problem: Manual Lead Qualification Is Inconsistent and Slow

Sales teams waste hours every week sorting leads. Common issues:

• Repetition: The same questions (Do they have budget? Are they a decision maker?) get asked in every team member’s head, with no shared standard.
• Bias: High-profile company names get attention while great-fit smaller accounts get ignored.
• No Traceability: When a rep says "this lead is cold," there’s often no record of why, making it hard to coach or improve.
• Missed Signals: A lead from a webinar who downloaded a follow‑up whitepaper might be hotter than a random “Contact Sales” demo request—but you need to weigh those signals consistently.

The result? Slower response times, lower conversion rates, and pipeline bloat. Research from InsideSales shows that 35–50% of sales go to the vendor that responds first. Manual qualification kills speed.

Who This Skill Is For

• SDRs and BDRs who need to hit 50+ calls a day and can’t afford to waste time on bad leads.
• Account Executives triaging inbound leads before the first meeting.
• Sales Managers looking to enforce a qualification standard across the team.
• RevOps professionals building lead routing or scoring models as a proof of concept.

If you work in B2B sales and touch a lead list more than once a week, this skill fits.

How It Works

The skill works in three phases:

1. Parse & Validate: It reads your lead data—CSV, pasted table, or even plain text—and checks for required columns (Company, Industry, Size, Contact, Title, Source).
2. Score Using Your Framework: Choose BANT (Budget, Authority, Need, Timeline) or MEDDIC (Metrics, Economic Buyer, Decision Criteria, Decision Process, Paper Process, Champion). You can adjust weights. The skill maps available data points to each dimension and infers a score for every lead.
3. Produce Scorecard & Action Plan: The output is a prioritized table with scores, tiers (Hot/Warm/Cold), and specific recommended actions for each tier (e.g., “Call within 1 hour” for Hot, “Send case study” for Warm).

All logic is transparent. You can ask the skill, “Why is Acme a 92?” and it will explain which signals drove the score.

Installing and Using the Skill

1. Download the ZIP file from the button above. It contains SKILL.md, README.md, and supporting docs.
2. Place the `skill/` folder in your Claude Code working directory.
3. Activate and load your leads:

> Claude: "Use the B2B Lead Qualification Scorecard Builder to score this lead list." > Then paste your CSV or upload it.

1. Choose a framework and optionally tweak weights. If you’re unsure, start with the defaults.
2. Review the output. You can refine by asking to re-weight dimensions, ignore certain industries, or flag specific keywords.
3. Export the final table as markdown or copy it into your CRM/Google Sheets.

Pro tip: The skill remembers your scoring tweaks for the session, so you can compare different frameworks on the same data set.

Input Requirements

To get the most accurate scores, provide at least:

• Company Name
• Industry
• Company Size (employees or ARR)
• Contact Name and Title
• Lead Source (e.g., “Demo Request”, “Event – SaaStr Annual”, “Inbound White Paper”)
• Any notes on behavior or interactions (email opens, content downloads, past conversations)

The more context you include, the better. If you have custom signals (funding rounds, technographics, job changes), add them as notes—the skill can parse them.

Example Use Case

Imagine you’re an SDR for a SaaS company selling a sales engagement platform. After a conference, you have a list of 150 scanned badges. Some are obvious (CTOs at mid‑market tech companies), others mild interest (Marketing Intern). You load the list into the skill with BANT weighting and get back:

• 12 Hot leads (score ≥80): C‑suite contacts from SaaS companies who mentioned “demo” or “evaluate” in the notes.
• 37 Warm leads (60–79): Directors and VPs from adjacent industries who downloaded your ROI calculator.
• 101 Cold leads (<60): Interns, non‑target industries, no clear need.

Now you can call the 12 hot leads immediately, send a tailored email to the 37 warm ones, and either discard or route the rest to a low‑touch nurture campaign. All in under two minutes.

Example Output

Your scorecard looks like this (sample rows):

| Company | Contact | Score | Tier | Fit | Intent | Timing | Key Signals | Recommended Action | Notes | |---------------|-----------------|-------|------|-----|--------|--------|---------------------------------|--------------------------|----------------------------------| | Acme FinTech | John Smith (CTO)| 92 | Hot | 10 | 9 | 8 | Demo request, series‑B funded | Call within 1 hour | Reference our case study in FinTech | | Globex Mfg | Lisa Chen (VP) | 64 | Warm | 7 | 6 | 5 | Downloaded whitepaper, mid‑market | Send follow‑up email | Ask about their timeline | | Initech HC | Bob Vance (Dir) | 45 | Cold | 4 | 5 | 3 | General list, no interaction | Nurture sequence 4 weeks | Monitor for any new signals |

The output is plain markdown, so you can paste it directly into Notion, Slack, or any spreadsheet.

Limitations

• Does not enrich: It won’t pull LinkedIn data or firmographics for you. You need to provide the information.
• Heuristic, not clairvoyant: Scores are rule‑based. If a lead looks great on paper but isn’t actually in‑market, the score can’t detect that.
• B2B only: The frameworks assume a business‑to‑business sales cycle. B2C or one‑call‑close metrics don’t apply.
• No CRM integration: The skill works on the data you give it; it doesn’t write back to Salesforce or HubSpot. You’ll need to manually enter the results.

Despite these limits, the skill dramatically reduces qualification time and makes your process auditable and consistent.

Get the B2B Lead Qualification Scorecard Builder

This skill is available for download right here. Click the button below to get the ZIP file with SKILL.md, README.md, COPYRIGHT.md, and metadata.json. Install it into your Claude Code environment and start qualifying leads in minutes—without any setup fees or subscriptions.

[Download Now]

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FAQ

Q: Can I customize the scoring weights for my company’s ideal customer profile? A: Absolutely. You can adjust the weight of each dimension (e.g., Budget heavier for enterprise sales). You can also tell the skill, “Treat all leads with ‘FinTech’ industry as high intent,” and it will learn that rule for the session.

Q: What if my lead data is messy or missing fields? A: The skill will warn you and assign default scores (5/10) for missing dimensions. It’s better to provide complete data where possible. You can also give it partial info and ask it to suggest enrichment steps.

Q: Does this skill replace my CRM’s lead scoring? A: This is a lightweight, portable alternative that doesn’t require administrative access to your CRM. Use it for manual triage, pipeline reviews, or as a sandbox to test scoring models before you automate in‑product.

Q: Is there a limit to how many leads I can score at once? A: The skill handles lists of up to about 500 leads comfortably. For larger volumes, you may need to split the file. Performance depends on your Claude environment.

Q: Can I use it for account‑based marketing (ABM) target account lists? A: Yes. Provide your ABM target list alongside your leads, and the skill will flag which ones are on the list and score them accordingly.

Q: What frameworks are available besides BANT and MEDDIC? A: This version includes BANT and MEDDIC. Future releases may add GPCT (Goals, Plans, Challenges, Timeline) and custom frameworks. You can also instruct the skill to use a variation of BANT that matches your sales process.

Q: Do I need to be a Claude Code expert? A: No. The skill is designed to work with natural language. You don’t need to write any code or complex prompts. Just “use the skill with this data.”

Related Skills

• `saas-churn-risk-lead-screener` – Identify leads at risk of churning before they cancel.
• `linkedin-outreach-automator` – Turn your scored list into personalized LinkedIn messages.
• `email-followup-campaign-builder` – Create tailored email sequences based on lead tier.

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