thread-suggest

Evaluate Elastic standard demo fit against three criteria and decide predefined or custom path.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Determine whether an existing Elastic standard demo satisfies the customer's needs based on the frozen ideation, platform-audit, and opportunity profile, and explicitly decide between a predefined path or a custom path to hand off to scripting.

Core Features & Use Cases

  • Evaluates whether the Elastic standard demo catalog (referenced in references/standard-demos.md) covers the customer's top pains and technical win criteria.
  • Applies a three-criterion test (use-case coverage, platform compatibility, and absence of customer-specific data) to determine fit.
  • Produces outputs for SA review: predefined_recommended with updated opportunity docs and pipeline state, or custom_required with a handoff to weave-script.
  • Records decision details to the engagement workspace for traceability (decision_date, decided_by, pipeline_ends_here).

Quick Start

Feed the frozen ideation, platform-audit, and opportunity profile into the decision gate to obtain a predefined recommendation or a custom path decision.

Frequently Asked Questions about thread-suggest

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

FAQPage Schema
How do I decide between a predefined demo and a custom build for an Elastic opportunity?

Evaluate the standard demo catalog against use-case coverage, platform compatibility, and customer data requirements to determine if an existing Elastic demo fits the opportunity profile and ideation inputs.

What criteria determine if an Elastic standard demo satisfies customer requirements?

The decision applies three criteria: use-case coverage, platform compatibility, and the absence of customer-specific data. It assesses frozen ideation and platform-audit inputs to verify standard demo fit.

When should I hand off an Elastic engagement to custom scripting?

You hand off to custom scripting when the standard demo catalog lacks fit for the customer's use case, platform compatibility, or data requirements, triggering a custom_required pipeline state.

How do I start the standard demo evaluation process for a pipeline opportunity?

Feed the frozen ideation, platform-audit, and opportunity profile inputs into the decision gate. The evaluation matches these against the standard demo catalog to output a predefined recommendation or custom handoff.

Does the predefined vs custom decision process work with customer-specific data requirements?

The decision process checks for the absence of customer-specific data. If customer-specific data is required, the evaluation flags the opportunity as custom and routes it to weave-script.