B2B Lead Finder

The problem

Sales teams and founders often waste hours chasing "lukewarm" leads from trade shows or scraped lists without a clear priority. Manual scoring is slow, subjective, and usually lacks a repeatable logic for why one account deserves more effort than another.

What it does

• Cleans and deduplicates raw prospect lists from pasted text or research snippets.
• Applies a weighted-fit model scoring accounts on Firm Fit, Need Signal, Access Path, and Momentum.
• Generates a ranked shortlist with specific rationale for each lead's position.
• Creates tailored, low-friction outreach drafts based on the identified signals.
• Segments low-scoring prospects into a "do not chase" bucket with clear disqualification gaps.

Why this beats prompting it yourself

Generic prompts often hallucinate buyer intent or give every lead a high score to be helpful. This skill uses a fixed mathematical framework (35/30/20/15 weighting) to ensure objective triage, forcing the model to defend every rank with evidence found in your notes.

Use cases

• Triage a messy list of names gathered from a recent industry conference.
• Rank a list of target accounts before a outbound sprint to maximize conversion.
• Analyze research notes on competitor clients to find high-momentum switchers.
• Quickly draft personalized LinkedIn openers for a specific batch of high-fit leads.

Known limitations

Output quality depends entirely on the detail of your input notes. The skill does not perform live web searches to verify claims or find missing contact data.