Stop Guessing Which Library to Use — I Built an AI Capability Discovery Engine

Short summary

SKILLmama is an AI-powered library discovery engine that eliminates guesswork in technology selection. It searches across five ecosystem tiers (community skills, GitHub, MCP ecosystem, package registries, and curated templates), scans your project architecture, and scores every candidate on a transparent formula: compatibility (40%), popularity (30%), maintenance (15%), simplicity (15%). The tool integrates with Claude Code, Claude.ai, and OpenAI Codex to surface the best library for your stack with evidence and links.

• •Replaces manual library selection with systematic AI-driven evaluation across five ecosystem tiers
• •Transparent weighted scoring methodology: compatibility (40%), popularity (30%), maintenance (15%), simplicity (15%)
• •Integrates with Claude Code and other AI environments for direct workflow integration

Generated with AI, which can make mistakes.