AI agent skills / coding efficiency
A Claude Code/agent skill that makes AI coding agents write minimal code, reducing code volume, token cost, and latency.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Use when you need token reduction via input compression instead of behavioral code-minimalism — it's a proxy/MCP library, not a skill.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
These projects were analysed and named ponytail among their alternatives. The relationship is not symmetric — how ponytail rates them is a separate judgement, made when ponytail is analysed in its own right.
calls ponytail “Adds a single 'lazy senior dev' instinct, much narrower than seed's full set.”
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.