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contextual-intelligence

Analyze project fingerprints and recommend plugins via cosine similarity.

18|2|Updated Dec 12, 2025
Search Tags:#developer tools#project analysis#code intelligence#cosine similarity#plugin recommendation#association rules
One-click install
npx skills add https://github.com/markus41/claude --skill contextual-intelligence
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: contextual-intelligence
Source: https://github.com/markus41/claude/tree/main/plugins/marketplace-pro/skills/intelligence
Command: npx skills add https://github.com/markus41/claude --skill contextual-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of understanding a project's technical landscape and recommending relevant plugins, bridging the gap between existing infrastructure and potential enhancements.

Core Features & Use Cases

  • Project Fingerprinting: Analyzes project files to identify languages, frameworks, and infrastructure patterns.
  • Association Rule Mining (Apriori): Discovers common co-occurring features across projects to identify capability gaps.
  • Plugin Recommendations: Ranks plugins based on similarity to the project fingerprint and their ability to fill identified gaps.
  • Use Case: A new project is built with FastAPI, Docker, and Kubernetes. This Skill analyzes it, identifies a lack of CI/CD tooling, and recommends a suitable CI/CD plugin.

Quick Start

Use the contextual-intelligence skill to recommend plugins for the current project.

Frequently Asked Questions about contextual-intelligence

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

FAQPage Schema
How do I discover relevant plugins for an existing project technology stack?▼

To discover relevant plugins for an existing project technology stack, this Skill analyzes project fingerprints to identify languages and frameworks, then ranks plugin recommendations via cosine similarity to fill capability gaps.

What is association rule mining for developer tooling discovery?▼

Association rule mining for developer tooling discovery uses the Apriori algorithm to find common co-occurring features across projects, identifying capability gaps to suggest automated project enhancements.

How do I identify capability gaps in my project infrastructure?▼

You identify capability gaps in project infrastructure by analyzing project fingerprints and mining association rules to discover missing feature co-occurrences, like detecting absent CI/CD tooling in a FastAPI setup.

Can I use project fingerprinting to recommend Docker and Kubernetes plugins?▼

Yes, you can use project fingerprinting to recommend Docker and Kubernetes plugins by analyzing infrastructure patterns and matching identified technology stacks against relevant tooling capabilities.

What is the best way to automate developer tooling discovery for a new codebase?▼

The best way to automate developer tooling discovery is analyzing project files to extract technical fingerprints, mining association rules for co-occurring features, and ranking plugin relevance based on identified gaps.

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