qualification-scorer

To score leads automatically, this skill evaluates them using a multi-axis framework (Fit, Timing, Access, Intent) against your ICP definitions and signal data, then classifies them into HOT, WARM, COLD, or PARK tiers. It processes pasted lists, single leads, or CSV files.

Prioritizing a sales pipeline requires evaluating leads on Timing and Intent alongside Fit and Access. This skill loads context from trigger events and account briefs to assign tier classifications, providing actionable next steps for who to contact first.

Yes, you can use a CSV file to bulk score inbound leads. The skill handles various input methods including CSV files and pasted lists, allowing for interactive review and adjustment before outputting the prioritized results to a Markdown file.

Multi-axis lead scoring in GTM prospecting evaluates accounts across four dimensions: Fit, Timing, Access, and Intent. This framework uses ICP definitions and signal data to ensure revenue teams prioritize efforts effectively rather than relying on single metrics.

To get actionable next steps after qualifying a lead, the skill provides specific recommendations for each lead based on its assigned tier. It outputs these prioritized actions to a Markdown file after interactive review and adjustment.

Yes, lead scoring works for single account deep-dives. The skill handles single lead deep-dives by loading context from ICP definitions, signal data, and account briefs to inform the multi-axis scoring and tier classification.