Contextual Plugin Intelligence

Analyze a project's technology stack and recommend plugins using machine learning techniques: $ARGUMENTS

Overview

The intelligence module provides three core capabilities:

1. Project Fingerprinting — Scans a project directory to extract a feature vector covering frameworks, languages, infrastructure, and architectural patterns.
2. Association Rule Mining (Apriori) — Discovers which features commonly co-occur across projects, then identifies capability gaps in the current project.
3. Plugin Recommendations — Ranks available plugins by cosine similarity to the project fingerprint, weighted by gap-filling potential.

Architecture

ProjectFingerprinter
  |
  |-- detectFrameworks()    -> package.json, pyproject.toml, go.mod, Cargo.toml
  |-- detectLanguages()     -> file extension distribution (recursive walk)