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.