opportunity-matrix

Scan software opportunity signals across platforms and store scored results in SQLite.

Updated Mar 9, 2026

Search Tags:#reporting #market intelligence #data retrieval #opportunity scanning #signal scoring

Ready to run

npx skills add https://github.com/OmarA1-Bakri/Claude_Code_Automations --skill opportunity-matrix

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: opportunity-matrix
Source: https://github.com/OmarA1-Bakri/Claude_Code_Automations/tree/main/agent_workflows/opportunity_matrix
Command: npx skills add https://github.com/OmarA1-Bakri/Claude_Code_Automations --skill opportunity-matrix

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires state_manager, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The opportunity-matrix skill addresses the need for market intelligence by providing a tool that scans and scores software opportunity signals across multiple platforms, facilitating targeted business development and content ideation.

Core Features & Use Cases

Cross-Platform Opportunity Scanning: Monitors Reddit, Hacker News, GitHub, and X/Twitter for software opportunities.
Signal Scoring: Assigns a score based on engagement, cross-platform validation, and feasibility.
Data Retrieval & Reporting: Enables querying stored opportunities by score, platform count, or category, and generating opportunity reports in markdown or JSON.
Content Ideation & BD Targeting: Helps find content ideas and multi-platform opportunities suitable for business development.

Quick Start

Use 'scan opportunities' to start scanning for software market opportunities and trigger further actions like scoring or generating reports.

Frequently Asked Questions about opportunity-matrix

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

FAQPage Schema

How do I scan social platforms for software opportunity signals and score them?▼

You can scan software opportunity signals across Reddit, Hacker News, GitHub, and X/Twitter by triggering a scan command, which scores opportunities based on engagement, cross-platform validation, and feasibility, then stores them in a SQLite database.

What is the best way to automate market intelligence reporting from multi-platform engagement data?▼

Market intelligence reporting is automated by querying stored opportunity signals from the database and generating reports in markdown or JSON format, allowing you to retrieve data filtered by score, platform count, or category for business development.

Can I use Python to retrieve and query stored business development opportunities by score?▼

Yes, you can use Python to run retrieval commands that query a SQLite database for stored business development opportunities, filtering the results by signal score, platform count, or specific category to identify high-value targets.

Do I need a state manager script to run cross-platform opportunity scanning and signal scoring?▼

Yes, a state_manager script is required for registration and operation, alongside a Python environment, to successfully run cross-platform opportunity scanning and execute signal scoring commands.

How does cross-platform validation work when finding content ideas from GitHub and Reddit?▼

Cross-platform validation assesses content ideas by monitoring GitHub and Reddit for overlapping engagement signals, assigning a feasibility score based on the number of platforms validating the same opportunity.

What are the limitations of using markdown reports for opportunity scanning and signal scoring data?▼

A limitation is that opportunity scanning and signal scoring data stored in the SQLite database is exported strictly as markdown or JSON reports, which may require additional parsing if integration into automated pipelines is needed.