warp-discovery

Parses discovery notes into a MEDDPIC-qualified opportunity with four output artifacts.

1|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/ajmeyers42/loom --skill warp-discovery
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: warp-discovery
Source: https://github.com/ajmeyers42/loom/tree/main/skills/warp-discovery
Command: npx skills add https://github.com/ajmeyers42/loom --skill warp-discovery

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Consolidates SDR/AE discovery notes into a structured MEDDPIC-qualified opportunity, reducing manual synthesis and handoffs across the sales cycle.

Core Features & Use Cases

  • Discovery parsing: Accepts raw notes, transcripts, or attachments and extracts a structured discovery profile.
  • Qualification & artifacts: Produces a MEDDPIC-based qualification, a customer-facing confirmation document, an internal gaps report, and an SA handoff brief.
  • No pipeline runtime required: Works in chat sessions without needing an active Elastic deployment.

Quick Start

Paste discovery notes (or transcript) into the chat and review the four outputs produced in this bundle

Frequently Asked Questions about warp-discovery

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I qualify SDR discovery notes into a MEDDPIC framework?

MEDDPIC discovery parsing works by accepting raw notes, transcripts, or attached files and extracting a structured opportunity profile that produces a qualification recommendation, customer confirmation document, gaps report, and SA handoff brief.

Can I parse sales call transcripts to generate an SA handoff brief?

Yes, you can parse sales call transcripts to generate an SA handoff brief by providing the transcript or raw notes to the chat, which then outputs the brief alongside a MEDDPIC qualification and customer confirmation document.

Do I need an active pipeline runtime to structure raw discovery notes?

No active pipeline runtime or Elastic deployment is needed to parse raw discovery notes. The Skill operates entirely within chat sessions using a lightweight workflow defined by YAML-frontmatter metadata.

What is the best way to consolidate SDR and AE discovery notes for sales handoffs?

The best way to consolidate SDR and AE discovery notes for handoffs is to parse them into a MEDDPIC-qualified opportunity package, which reduces manual synthesis by outputting a qualification recommendation, customer confirmation, gaps report, and SA handoff brief.

What output artifacts can I expect from MEDDPIC qualification of raw notes?

The output artifacts from MEDDPIC qualification of raw notes include four specific documents: a qualification recommendation, a customer-facing confirmation document, an internal gaps report, and an SA handoff brief.