thread-qualify

Consolidate discovery data into an Opportunity Summary, profile JSON, and Demo Goals Brief.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Consolidates all discovery and diagnostic outputs into a living Opportunity Summary for SDR/AE/SA team alignment. Your job is to take everything that has been captured — structured discovery JSON, diagnostic findings, gaps reports, raw notes — and produce three artifacts to ground the opportunity in one source of truth: a living opportunity summary, a machine-readable opportunity profile, and a Demo Goals Brief for SA handoff.

Core Features & Use Cases

  • Generate a Living Opportunity Summary that the full team can review, correct, and sign off on.
  • Produce a structured qualification profile JSON that downstream skills can read to understand scope and priority.
  • Create a Demo Goals Brief to guide the SA handoff and ideation process.

Quick Start

Provide the discovery inputs to the skill and run the thread-qualify workflow to generate the three artifacts.

Frequently Asked Questions about thread-qualify

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

FAQPage Schema
How do I consolidate discovery notes into a build-ready opportunity summary?▼

Consolidating discovery notes into an opportunity summary requires aggregating structured discovery data, diagnostic findings, and gap reports into a living document for team alignment. This skill transforms raw inputs into a unified source of truth.

What is the best way to generate a demo goals brief for sales engineer handoff?▼

Generating a demo goals brief for SA handoff involves processing qualification data and technical landscape scaffolds to guide solution ideation. This skill produces a markdown brief aligning demo objectives with opportunity priorities.

Can I automate MEDDPIC scoring from raw discovery data?▼

Automating MEDDPIC scoring from raw discovery data is possible by processing structured JSON inputs and diagnostic findings. This skill evaluates opportunity metrics and generates a machine-readable profile with embedded scoring.

Does this opportunity qualification tool work with unstructured discovery notes?▼

Opportunity qualification processing accepts unstructured raw notes alongside structured discovery JSON. The skill parses mixed-format inputs to produce a standardized opportunity profile and a living summary document.

How do I create a machine-readable opportunity profile for downstream automation?▼

Creating a machine-readable opportunity profile involves structuring qualification findings into a JSON format that downstream skills can read. This skill outputs an opportunity-profile.json defining scope and priority parameters.

When do I need to update a living opportunity summary during the sales cycle?▼

Updating a living opportunity summary is necessary when initiating a qualification review or when new notes arrive during follow-ups. This skill reprocesses incoming discovery data to maintain team alignment accuracy.