content-ideation-pipeline

Name: content-ideation-pipeline
Availability: InStock
Author: chriswestt

Synthesize performance metrics, sales signals, and competitor data into ranked content ideas.

Updated Apr 21, 2026

Search Tags:#performance #ideation #content #data-driven #notebooklm #competitors

Ready to run

npx skills add https://github.com/chriswestt/claude-skills --skill content-ideation-pipeline-chriswestt

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: content-ideation-pipeline
Source: https://github.com/chriswestt/claude-skills/tree/main/content-ideation-pipeline
Command: npx skills add https://github.com/chriswestt/claude-skills --skill content-ideation-pipeline-chriswestt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the generation of data-driven content ideas by synthesizing performance metrics, sales signals, and competitor data into ranked concepts.

Core Features & Use Cases

Performance-driven ideation: leverages past content metrics from content pipelines, social platforms, and deliverables to surface high-potential ideas.
Sales signal integration: pulls pain points and questions from recent calls to ground ideas in real customer needs.
Competitive benchmarking: analyzes outlier competitor content to identify gaps and opportunities.
End-to-end workflow: from data gathering (Supabase, YouTube, vaults) to NotebookLM grounding and ranked output.

Quick Start

Run the Content Ideation Pipeline end-to-end to generate ranked content ideas from performance data, sales signals, and competitor insights.

Frequently Asked Questions about content-ideation-pipeline

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

FAQPage Schema

How do I generate data-driven content ideas from performance metrics and competitor data?▼

Data-driven content ideation automates synthesizing performance metrics, sales signals, and competitor data into ranked concepts. The pipeline loads data from Supabase, YouTube, and Obsidian vaults, then uses NotebookLM to ground analyses and backtest ideas.

How does competitive benchmarking work for content ideation?▼

Competitive benchmarking analyzes outlier competitor content to identify gaps and opportunities. The pipeline synthesizes competitive data with your performance metrics and sales signals to surface high-potential content ideas that fill market gaps.

Do I need Supabase and NotebookLM to run the content ideation pipeline?▼

Yes, the content ideation pipeline requires Supabase for metrics, YouTube data via yt-search, Obsidian vaults for pillars, and NotebookLM for grounding analyses. These sources are necessary to load data and backtest ranked ideas.

Can I integrate sales call signals into my content planning workflow?▼

Yes, sales signal integration pulls pain points and questions from recent calls to ground ideas in real customer needs. This feeds into the end-to-end workflow for weekly content planning across YouTube, Instagram, blogs, and documentation.

What's the best way to rank content ideas using past performance data?▼

The best way to rank content ideas is backtesting them against past content metrics from your pipelines and social platforms. This performance-driven ideation approach surfaces high-potential concepts grounded in actual data.

What are the limitations of automating content ideation across multiple data sources?▼

Automating content ideation depends on consistent access to Supabase metrics, YouTube data, and Obsidian vaults. If these data sources lack structured performance metrics or sales signals, the pipeline cannot accurately backtest or rank ideas.