Works with the AI tools you already use
adaptive sales qualification
by AgentHouse
The problem Sales teams often mistake high activity for actual progress and optimism for evidence.
Free
See it in action
You say
Assess the ACME Corp opportunity. We've had three meetings with the IT Manager. They say there is budget, but we haven't seen a formal RFP yet or met the CFO.
Your agent does
Status: Conditionally Qualified Priority: Medium Probability: 15-25% Evidence: Seller-reported (Low Confidence) Risk: Missing economic buyer (CFO). Budget is buyer-reported, not verified. Next Action: Request a meeting with Finance to verify budget allocation before further technical demo.
About this skill
The problem
Sales teams often mistake high activity for actual progress and optimism for evidence. Manual qualification leads to bloated pipelines full of unwinnable deals and wasted effort on low-value prospects.
What it does
- Separates lead, account, and opportunity assessments to identify structural weaknesses in the sales cycle.
- Scores evidence based on source reliability, distinguishing between buyer-reported claims and verified facts.
- Determines pursuit priority and probability to close based on contribution margins and cost-of-sale economics.
- Identifies missing stakeholders and critical evidence gaps to recommend the next best verification action.
- Adapts qualification depth (Lightweight to Strategic) based on deal value, risk, and competitive intensity.
Frameworks & tools
Designed for B2B and high-consideration B2C environments. Integrates with CRM data from Salesforce, HubSpot, Microsoft Dynamics 365, Pipedrive, and Zoho CRM when accessible.
Why this beats prompting it yourself
Standard prompts often output generic advice or halluncinate buying signals. This skill enforces a rigorous evidence-based logic that prevents optimism bias and accounts for opportunity costs, ensuring your agent acts like a cynical sales VP rather than a cheerleader.
Use cases
- Reviewing pipeline quality to purge stalled or unverified opportunities.
- Deciding whether to bid on complex formal tenders or RFPs.
- Preparing discovery questions that target specific information gaps.
- Determining when to nurture, partner, or abandon an account to protect margins.
Known limitations
Requires localized configuration files for optimal weighting. It does not provide legal or compliance advice and should not be used for low-value, high-volume transactional sales.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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