idea-pipeline

Audit startup idea backlogs against executed signals and recommend top three ideas.

626|225|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/aaronjmars/aeon --skill idea-pipeline-aaronjmars
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: idea-pipeline
Source: https://github.com/aaronjmars/aeon/tree/main/skills/idea-pipeline
Command: npx skills add https://github.com/aaronjmars/aeon --skill idea-pipeline-aaronjmars

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

It exposes which startup ideas are still unexecuted by auditing your backlog against what has actually shipped via skills, prototypes, and merged PRs.

Core Features & Use Cases

  • Weekly execution gap audit: Compares the full idea backlog to screened ideas and to executed signals.
  • Top-3 build recommendations: Produces this week’s best three picks using narrative fit and estimated operator fit, plus recency and ecosystem gaps.
  • Execution log + notification: Generates a report and a separate operator notification from the latest audit.

Quick Start

Run idea-pipeline with an optional theme filter and ensure your memory/topics files (startup-ideas, screened results, market context, and ecosystem feed if available) are present so it can select the top three ideas for the week.

Frequently Asked Questions about idea-pipeline

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

FAQPage Schema
How do I audit a startup idea backlog against executed signals like merged PRs?

Weekly execution gap audits compare your idea backlog against screened ideas and executed signals like merged GitHub PRs and deployed prototypes. This exposes which startup ideas remain unexecuted to prioritize future builds.

What is the best way to pick which startup ideas to build next from a large backlog?

Scoring unexecuted ideas using narrative fit, estimated operator fit, recency, and ecosystem gaps generates top-three weekly build recommendations. This helps prioritize startup ideas by selecting the best picks from your backlog.

How do I generate weekly execution reports and operator notifications from local markdown files?

Reading local memory markdown files for startup ideas and screening tables lets you generate two markdown outputs: an article report and an operator notification draft. This automates recurring weekly product ideation reporting.

Do I need the GitHub CLI to scan merged PRs for startup idea execution tracking?

Yes, the GitHub CLI is required to look up merged PRs for tracking startup idea execution. It scans merged PRs alongside the skills directory, deployed prototypes, and recent build logs to identify execution gaps.

Can I filter weekly build recommendations by a specific theme or market context?

Applying an optional theme filter when running the idea pipeline narts down weekly build recommendations. It leverages local memory markdown files containing market context and ecosystem feed data to refine the selected startup ideas.