What are the recommended token limits for skills?

This skill suggests keeping skill prompts under 2,000 tokens and agent prompts under 5,000 tokens to maintain optimal performance and responsiveness.

How does this skill help reduce API costs?

By identifying high token consumption and redundant file access patterns, it provides actionable insights to minimize the data sent to the LLM, directly lowering operational costs.

What does the efficiency score represent?

The efficiency score is a 0-100 rating that evaluates your plugin against predefined targets for token size, file reads, and startup speed, where a higher score indicates better resource management.

Can I automate the performance testing process?

Yes, the skill includes specific Python scripts for measuring context, analyzing loading patterns, and calculating efficiency that can be integrated into your development workflow.

PopKit Performance Assessment

Name: PopKit Performance Assessment
Author: jrc1883

byjrc1883

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分析と監視

Evaluates AI plugin efficiency by measuring context usage, token consumption, and initialization speed.

The PopKit Performance Assessment skill provides a comprehensive auditing framework for AI-powered development workflows, specifically designed to optimize the efficiency of the PopKit plugin suite. It utilizes automated scripts and standardized checklists to analyze context window usage, estimate token consumption, and validate lazy loading patterns. By comparing results against established performance targets, it helps developers identify bottlenecks, reduce resource overhead, and ensure that AI agents remain responsive and cost-effective.

主な機能

01Lazy loading validation for optimized plugin initialization

02Metric-driven efficiency scoring (0-100)

03Identification of performance bottlenecks and optimization recommendations

04Standardized performance checklists for file access and startup

055 GitHub stars

06Automated context and token usage measurement scripts

ユースケース

01Auditing the token efficiency of complex AI workflows to reduce API costs

02Optimizing plugin startup times and file access patterns for faster response

03Validating that custom skills meet performance standards before deployment

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jrc1883/popkit-claude pop-assessment-performance

For use in Claude.ai and ChatGPT

Download Skill