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skippy-cache-family-bench

Benchmark Skippy cache by model family and generate README-ready tables.

3.1k|376|Updated Feb 11, 2026
Search Tags:#readme#evaluation#cache#benchmark#family#skippy
One-click install
npx skills add https://github.com/Mesh-LLM/mesh-llm --skill skippy-cache-family-bench
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skippy-cache-family-bench
Source: https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/skippy-cache-family-bench
Command: npx skills add https://github.com/Mesh-LLM/mesh-llm --skill skippy-cache-family-bench

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides reproducible Skippy cache benchmarking by family, enabling side-by-side comparisons of cache payloads across model families and surfacing gaps in performance or coverage.

Core Features & Use Cases

  • Reproducible benchmarks across model families, including Qwen3Next, Falcon-H1, Llama, and other dense or recurrent configurations.
  • Production evidence generation such as README tables and update artifacts for crates/skippy-cache.
  • Diagnostic insights to identify cache coverage gaps by family or specific Hugging Face use cases.

Quick Start

Run the reproducible wrapper to build, benchmark, and render a README-ready report for the selected family set.

Frequently Asked Questions about skippy-cache-family-bench

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I benchmark Skippy cache performance across different model families?▼

To benchmark Skippy cache across model families, use the reproducible wrapper to build, run baselines, and produce README-ready outputs comparing cache payloads across diverse configurations.

What is Skippy cache benchmarking by family used for?▼

Skippy cache benchmarking by family is used for evaluating production cache modes across diverse families and Hugging Face use cases, generating diagnostic tables to surface coverage gaps.

Does the Skippy cache benchmark support Qwen3Next, Falcon-H1, and Llama model families?▼

Yes, the Skippy cache benchmark supports reproducible comparisons across Qwen3Next, Falcon-H1, Llama, and other dense or recurrent configurations to evaluate production cache modes.

How do I generate README-ready tables and diagnostics for Skippy cache evaluations?▼

You generate README-ready tables and diagnostics for Skippy cache by running reproducible benchmark scripts and report renderers that execute builds and produce update artifacts.

Why do I need reproducible benchmark scripts for Skippy cache evaluation?▼

Reproducible benchmark scripts are needed for Skippy cache evaluation to ensure consistent side-by-side comparisons across model families and accurately surface performance or coverage gaps.

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