Audit SKILL.md files for token efficiency and structural compliance.
npx skills add https://github.com/gke-labs/kube-agents --skill skill-review-gke-labs
Please help me install this Agent Skill. Skill: skill-review Source: https://github.com/gke-labs/kube-agents/tree/main/.agents/skills/skill-review Command: npx skills add https://github.com/gke-labs/kube-agents --skill skill-review-gke-labs
This skill addresses the common issue of bloated, overly conversational, or poorly structured agent instructions that lead to token waste and inconsistent AI performance.
Use the skill-review skill to audit the SKILL.md file located in the current directory for token efficiency and structural compliance.
High-intent search queries and answers about installing and using this skill.
To optimize agent skills for token efficiency, you can audit the SKILL.md file to enforce standardized formatting, strict imperative voice, and eliminate conversational filler. This process refines operational instructions to reduce token waste.
Conversational filler and passive voice cause inconsistent AI performance by bloating agent instructions with poorly structured prose, which wastes tokens and obscures the direct operational instructions required for precise execution.
The best way to audit agent instructions before deployment is to analyze skill definitions for structural compliance. This validates that definitions follow a standardized layout with clear task and workflow sections, ensuring functional precision.
You enforce concise header structures in agent skill definitions by applying structural enforcement rules during an audit. This validates that the documentation follows a strict, standardized layout with clear task and workflow sections.
Yes, you can use this approach to audit a new library of agent instructions before deployment. The process checks for token efficiency and structural compliance to ensure the documentation is concise and functionally precise.
Automated prose optimization for agentic systems requires strict adherence to imperative voice and standardized formatting. It focuses solely on eliminating conversational filler and structural validation, without evaluating the underlying logic of the operational instructions.
yeeehaoooStandardize Claude skill definitions with SKILL.md frontmatter validation.
felixsimRestructure flat markdown memory files into a hierarchical domain tree.
agentjidoConvert temperature and distance inputs into standardized units for downstream workflows.
KenTaniguchi-RAdd, edit, and remove Pier CLI tools via conversational prompts.
