GoKawiil*A language for agents to write themselves in.*
skillscript.ai • docs
TL;DR — npm install -g skillscript-runtime && skillfile init && skillfile dashboard . See Quickstart.
Contents
The problem
AI agents are mostly transient. Every routine task is re-derived from prose reasoning. The agent that summarized a thread yesterday will summarize one tomorrow by reasoning from scratch about how to summarize threads, burning frontier inference on a procedure with a known shape, a known output format, and known failure modes.
The waste compounds in three directions: cost (every routine operation runs through the most expensive reasoning layer in the system), latency (every operation pays the full inference cost), and drift (the same task produces slightly different results each invocation because nothing crystallizes).
The deeper problem is that agents have no substrate to write themselves down in. Agents are partly defined by what they can do and what they can do is currently held entirely in a soft, transient form of reasoning at inference time. There's no hard form. No place for an agent to crystallize a learned procedure into something cheap to execute, cheap to inspect, and cheap to improve.
Most agent infrastructure projects today focus on memory — episodic recall, retrieval-augmented context, conversation summarization. Those projects answer "what does the agent know." They don't answer "what can the agent do" in any persistent, executable, inspectable form.
Skillscript intends to answer the second question.
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