Intelligent Agent Skill Router with Auto-Selection
C5/10May 5, 2026
WhatA lightweight middleware layer that automatically selects and composes the right agent skills/prompts for a given coding task, eliminating the need for developers to memorize commands or manually pick workflows.
SignalMultiple developers independently converged on the same problem: manually choosing which skill or command to invoke is friction that defeats the purpose of AI assistance — they want a single entry point that intelligently routes to the right workflow without human memory overhead.
Why NowThe number of available agent skills and prompt libraries is exploding, making manual selection increasingly impractical; LLM costs have dropped enough to use a cheap model as a routing layer.
MarketPower users of AI coding agents (est. 1-2M developers); could be a premium feature within existing tools or a standalone CLI; no direct competitor owns this niche yet — individual developers are rolling their own.
MoatRouting accuracy improves with usage data across many developers and task types, creating a data flywheel that solo implementations cannot replicate.
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