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

Every developer knows this feeling.

You need a vector database. Or a job queue. Or a .dwg parser for Node.js. You open a browser tab, search GitHub, open five more tabs, try to compare stars and last-commit dates, get distracted by a Medium post from 2019, and 45 minutes later you've picked something based on vibes.

There's a better way. I built it.

SKILLmama is an AI-native capability discovery engine. Point it at a capability gap, and it scans your project architecture, searches across five tiers of the ecosystem, scores every candidate against your specific stack, and returns ranked recommendations with evidence and clickable links.

It works with Claude Code, Claude.ai, OpenAI Codex, and Antigravity.

Every developer knows this feeling.

There's a better way. I built it.

It works with Claude Code, Claude.ai, OpenAI Codex, and Antigravity.

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

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

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