AI SDR (BANT Scout)
Qualify and score a whole lead list with BANT or MEDDIC, automatically. Researches each account for buying signals like funding and leadership changes, scores it with a reason code for every point, and returns a prioritized queue with outreach drafts tied to what it found. CSV in, sales-ready queue out.
- Score bulk account lists from CSVs using weighted BANT/MEDDIC logic.
- Identify high-intent "buying signals" like funding or leadership changes.
- Generate prioritized sales queues with specific reason codes for every score.
$29
· or 145 creditsSecure checkout via Stripe
Included in download
- Score bulk account lists from CSVs using weighted BANT/MEDDIC logic.
- Identify high-intent "buying signals" like funding or leadership changes.
- terminal, file_write, network automation included
- Includes example output and usage patterns
Sample input
Qualify this lead list using BANT. Look for recent funding or hiring signals and generate a prioritized queue with recommended actions.
Sample output
Priority Queue
- Acme Corp | Score: 92 | Action: book_now | Signal: Hiring VP Sales | Reason: Authority + Timeline alignment.
- Globex | Score: 78 | Action: personalize | Signal: New Series B | Reason: High Need, Budget confirmed via funding. [Exported qualification_report.csv]
Qualify and score a whole lead list with BANT or MEDDIC, automatically. Researches each account for buying signals like funding and leadership changes, scores it with a reason code for every point, and returns a prioritized queue with outreach drafts tied to what it found. CSV in, sales-ready queue out.
$29
· or 145 creditsSecure checkout via Stripe
Also available in a bundle
Included in download
- Score bulk account lists from CSVs using weighted BANT/MEDDIC logic.
- Identify high-intent "buying signals" like funding or leadership changes.
- terminal, file_write, network automation included
- Includes example output and usage patterns
- Instant install
Sample input
Qualify this lead list using BANT. Look for recent funding or hiring signals and generate a prioritized queue with recommended actions.
Sample output
Priority Queue
- Acme Corp | Score: 92 | Action: book_now | Signal: Hiring VP Sales | Reason: Authority + Timeline alignment.
- Globex | Score: 78 | Action: personalize | Signal: New Series B | Reason: High Need, Budget confirmed via funding. [Exported qualification_report.csv]
About This Skill
What it does
The AI SDR (BANT Scout) is an autonomous lead qualification agent designed to turn raw account lists into prioritized sales queues. It processes lead data in parallel to detect buying signals—such as recent funding, hiring trends, or news—and applies professional scoring frameworks like BANT (Budget, Authority, Need, Timeline) or MEDDIC.
Why use this skill
Manual lead research is a bottleneck for sales teams. This skill replaces hours of manual LinkedIn and "about us" page browsing with multi-agent parallel research. Unlike simple prompting, this skill uses structured reason codes to explain every score (e.g., deducting 45 points for unknown budget) and generates personalized outreach drafts tied to the specific "buying signals" discovered during research.
Supported tools
- Frameworks: Comprehensive support for BANT and MEDDIC scoring logic.
- Inputs: CSV, Excel exports, Markdown tables, or CRM exports (HubSpot/Salesforce).
- Integrations: Technical logic for Cal.com/Calendly link generation and CRM sync dry-runs.
- Outputs: Generates structured CSVs with prioritized rankings and ready-to-use outreach copy.
Output format
The prompt results in a high-density CSV export containing granular score components, signal evidence, and outreach templates, followed by a clean Markdown summary highlighting the top prospects and their "Reason for Action."
Use Cases
- Score bulk account lists from CSVs using weighted BANT/MEDDIC logic.
- Identify high-intent "buying signals" like funding or leadership changes.
- Generate prioritized sales queues with specific reason codes for every score.
- Draft personalized outreach emails based on detected company news.
- Prepare CRM-ready data exports for HubSpot or Salesforce lead syncing.
Known Limitations
- Performance depends on public data availability; private company financials often restricted.
- High-volume batches may hit API rate limits.
- CRM sync requires pre-configured API keys.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/ai-sdr-bant-scout -o /tmp/ai-sdr-bant-scout.zip && unzip -o /tmp/ai-sdr-bant-scout.zip -d ~/.claude/skills && rm /tmp/ai-sdr-bant-scout.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Security Scanned
Passed automated security review
Permissions
Allowed Hosts
File Scopes
AI SDR needs terminal access to spawn parallel agent processes for concurrent lead qualification. Network access calls enrichment APIs (Clearbit, Hunter, Apollo), CRM APIs (HubSpot, Salesforce), and meeting scheduler APIs (Cal.com, Calendly). File read access reads lead CSVs and qualification rule files. File write access saves scored lead outputs and qualification logs. Environment variables read API keys. No browser access required.
Works with Claude Code and Codex. Requires API keys for enrichment (free tiers available). Meeting scheduler optional.
Creator
JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.
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