idea-pipeline

Audit startup idea pipelines against execution artifacts to identify build-ready candidates.

Updated Jul 16, 2026
One-click install
npx skills add https://github.com/enuno/noesis-aeon --skill idea-pipeline-enuno
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: idea-pipeline
Source: https://github.com/enuno/noesis-aeon/tree/main/skills/idea-pipeline
Command: npx skills add https://github.com/enuno/noesis-aeon --skill idea-pipeline-enuno

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The idea-pipeline skill addresses the challenge of tracking execution within a startup's idea pipeline, surfacing ideas that are ready to be built based on narrative and operator fit.

Core Features & Use Cases

  • Execution Gap Audit: Cross-references idea backlog against shipped skills, prototypes, and PRs.
  • Narrative Context: Uses market context and builder-ecosystem signals to score ideas.
  • Priority Scoring: Scores unexecuted ideas for build-readiness, considering narrative fit, operator fit, recency, and ecosystem gap.

Quick Start

Use the /idea-pipeline skill to run the audit and receive a list of top ideas for building next.

Frequently Asked Questions about idea-pipeline

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

FAQPage Schema
How do I audit my startup idea pipeline to find the best ideas for building next?

To audit a startup idea pipeline, you must cross-reference unexecuted ideas against shipped execution artifacts like prototypes and PRs. This execution-gap audit scores build-readiness by evaluating narrative fit, operator fit, recency, and ecosystem context to highlight top build candidates.

What is an execution gap in an idea backlog and how do I identify it?

An execution gap is the delta between proposed ideas in a backlog and shipped execution artifacts like prototypes and PRs. You identify this gap by cross-referencing your idea pipeline against actual output to surface unexecuted ideas that still require building.

How do I score ideas for build-readiness based on market context and ecosystem signals?

You score ideas for build-readiness by evaluating narrative fit, operator fit, recency, and ecosystem context. This priority-scoring mechanism uses market context and builder-ecosystem signals to determine which ideas are most ready to be built next.

Can I use this skill to track prototypes and PRs against my startup idea backlog?

Yes, the skill processes ideas by comparing them against execution artifacts including shipped skills, prototypes, and PRs. It cross-references these artifacts with your idea backlog to determine whether an idea has already been executed or remains a viable build candidate.

What's the best way to surface unexecuted ideas that are ready to be built?

The best way to surface unexecuted ideas is to run an execution-gap audit that cross-references your idea pipeline with shipped artifacts. By scoring ideas on narrative fit, operator fit, and ecosystem context, you receive a prioritized list of top suggestions for building next.

When should I not use an automated execution-gap audit for idea scoring?

You should avoid an automated execution-gap audit if your startup lacks a baseline of execution artifacts like prototypes or PRs to compare against. Without these shipped outputs, the skill cannot accurately calculate the execution gap or score unexecuted ideas for build-readiness.