warp-scout

Parse discovery notes and diagnostics into a structured SA handoff package.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill bridges the AE/ SDR discovery phase to the SA handoff by structuring raw notes, summaries, and diagnostics into a consistent, actionable package. It is the AE/SDR's entry point for exploring opportunities, qualifying them, and preparing a clear brief for the Solutions Architect before any demo build.

Core Features & Use Cases

  • Parse discovery notes, calls, and optional diagnostic exports into a structured discovery package and MEDDPIC-ready qualification.
  • Produce machine-readable opportunity profiles and a concise opportunity summary for internal alignment.
  • Generate a short demo-goals brief for the SA to enable rapid ideation without executing build stages.

Quick Start

Provide discovery notes and optional artifacts to warp-scout to generate the structured handoff package for the SA.

Frequently Asked Questions about warp-scout

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

FAQPage Schema
How do I structure raw discovery notes for a pre-sales handoff?

To structure raw discovery notes for a pre-sales handoff, you can parse call summaries and diagnostic exports into a consistent package. This generates a discovery JSON, opportunity profile, and demo-goals brief for the SA.

Can I use MEDDPIC qualification to prepare an opportunity summary for a Solutions Architect?

Yes, you can apply MEDDPIC-informed qualification to review opportunities and generate a concise opportunity summary. This process outputs a machine-readable profile and gaps list to align internal teams before the SA demo build.

What is the best way to convert unpolished lead summaries into machine-readable opportunity profiles?

The best way to convert unpolished lead summaries into machine-readable opportunity profiles is to parse both raw and polished inputs through a diagnostic extraction process. This yields structured artifacts, confirmations, and a concise brief for internal alignment.

Do I need formatted discovery data to generate a demo-goals brief?

No, you do not need formatted discovery data to generate a demo-goals brief. The parsing mechanism handles both polished and raw inputs to produce a structured handoff package and enable rapid SA ideation without executing build stages.

What components are included in a structured SA handoff package?

A structured SA handoff package includes a discovery JSON, identified gaps, confirmations, an opportunity summary, a machine-readable profile, and a demo-goals brief. These artifacts ensure consistent internal alignment before any demo execution.

What are the limitations when parsing discovery notes for early qualification?

The parsing process focuses on early qualification and SA handoff preparation, meaning it outputs a demo-goals brief for ideation rather than executing the actual demo build stages. It requires discovery data and optional diagnostics to produce complete artifacts.