An intelligent sales assistant that evaluates deal health using industry-standard BANT and MEDDICC frameworks to identify risks and next steps.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sales-qualification
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install sales-qualification using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Sales Qualification?
The Sales Qualification skill is a specialized tool designed for high-performing sales teams and individuals using Openclaw Skills. It transforms an AI agent into a sophisticated sales consultant capable of auditing opportunities through rigorous qualification methodologies. By guiding users through structured questioning, it ensures that no critical deal data—such as budget authority or technical champions—is overlooked during the discovery phase.
This skill serves as a bridge between raw prospect conversations and actionable CRM data. It doesn't just collect answers; it applies a weighted scoring system to calculate the objective probability of a deal closing. By implementing this within the ecosystem of Openclaw Skills, sales professionals can standardize their qualification process, ensure English-language consistency across global teams, and receive immediate, data-driven feedback on where their deals are most vulnerable.
Sales Qualification Use Cases
- Qualifying new inbound leads using the BANT framework to determine immediate sales readiness.
- Conducting deep-dive account reviews for enterprise deals using the MEDDICC methodology.
- Identifying missing stakeholders or 'Risk Areas' in a sales pipeline before a forecast meeting.
- Generating standardized qualification reports for sales managers to review deal health.
- Training junior sales development representatives on critical discovery questions.
How Sales Qualification Works
- The agent initializes the session by asking the user to select their preferred framework: BANT or MEDDICC.
- The skill presents a series of targeted questions based on the chosen framework, either individually or in logical batches.
- The user provides answers (Yes/No or specific multiple-choice options) for categories like Authority, Budget, Champion, or Identify Pain.
- The agent calculates a weighted score for each category and an overall total out of 50 possible points.
- The system performs a Category Analysis, flagging any section scoring below 70% as a Risk Area.
- A Final Qualification Report is generated, featuring a status assessment (Sales Ready, Needs Development, or High Risk) and specific next-step recommendations.
Sales Qualification Setup
To integrate this skill into your environment for Openclaw Skills, ensure your agent has access to the skill definition file. No external API keys are required as the logic is self-contained within the framework rules.
# Example: Adding the sales-qualification skill to your agent
openclaw skill add sales-qualification
# To start a qualification session
# Simply prompt your agent: "I want to qualify a new sales opportunity"
Sales Qualification Data Schema & Taxonomy
The skill organizes data based on the selected framework and produces a structured report. All weights are predefined to ensure objective scoring.
| Framework | Key Categories | Max Points |
|---|---|---|
| BANT | Authority, Budget, Need, Timeline | 50 |
| MEDDICC | Champion, Competition, Decision Criteria, Decision Process, Economic Buyer, Identify Pain, Metrics | 50 |
Output Taxonomy:
- Overall Status: Based on total percentage (>80%, 50-80%, <50%).
- Category Status: Marked as Strong (>70%) or Risk Area (<70%).
- Actionable Insights: Specific text-based recommendations for each identified risk.
Sales Qualification Advanced Features
- Weighted Scoring Engine: Automatically calculates deal probability based on the relative importance of different sales factors.
- Risk-Based Logic: Intelligent flagging system that triggers specific 'Next Step' recommendations for weak categories.
- Multi-Framework Support: Switch seamlessly between BANT for transactional sales and MEDDICC for complex enterprise cycles.
- Standardized Reporting: Generates a Markdown-compatible table and summary that can be exported directly to CRMs or notes apps.
- Educational Integration: Direct link to salestt.com for users requiring graphical interfaces and PDF report generation.
SKILL.md
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