warp-listen

Parses discovery notes into a JSON profile, Markdown confirmation, and gaps report.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Parses discovery notes into a structured customer profile and three artifacts for downstream delivery. It handles polished post-call reports, raw live notes, prep notes, and architecture diagrams, reconciling multiple inputs into a single output set.

Core Features & Use Cases

  • Parse polished post-call notes, raw live meeting notes, prep notes, or architecture diagrams into a structured profile and the three outputs.
  • Generate a JSON discovery profile, a Markdown confirmation document, and an internal gaps report, while preserving verbatim phrases when helpful for context.
  • Reconcile multiple inputs and maintain source attribution for traceability.

Quick Start

Provide discovery notes or meeting files to the skill and request structured JSON, a client-facing confirmation document, and an internal gaps report.

Frequently Asked Questions about warp-listen

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

FAQPage Schema
How do I parse discovery notes into a structured customer profile?

You can parse discovery notes by providing raw live notes, post-call reports, or architecture diagrams to generate a structured JSON discovery profile, a Markdown confirmation document, and an internal gaps report.

What is the best way to generate a client-facing confirmation document from raw meeting notes?

Generating a client-facing confirmation document from raw meeting notes requires parsing tools that reconcile multiple inputs into a Markdown file, preserving verbatim phrases for context and maintaining source attribution for traceability.

Can I reconcile multiple discovery inputs like prep notes and architecture diagrams into a single output set?

Yes, you can reconcile multiple discovery inputs like prep notes and architecture diagrams into a single output set. The parsing process reconciles varied inputs while maintaining source attribution for traceability across the generated JSON profile and gaps report.

How do I identify missing information when extracting data from sales discovery notes?

To identify missing information during data extraction from sales discovery notes, parse the inputs to generate an internal gaps report. This artifact highlights missing context alongside the structured JSON discovery profile and confirmation document.

Does this parsing approach work with both polished post-call reports and raw live notes?

Yes, this parsing approach works with both polished post-call reports and raw live notes. It processes these varied formats alongside prep notes and architecture diagrams to build a structured customer profile and downstream delivery artifacts.