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Benchmark suite manager

Skill a5c-ai/babysitter/library/specializations/domains/science/computer-science/skills/benchmark-suite-manager

Manage benchmarks for algorithm engineering experiments and evaluationsFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill benchmark-suite-manager

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.4 KB, 152 tokens by cl100k_base, as published. Nobody here has run it

Benchmark Suite Manager

Purpose

Provides expert guidance on managing benchmark suites for algorithm engineering and experimental evaluation.

Capabilities

  • Standard benchmark suite access (DIMACS, TSPLIB, etc.)
  • Instance generation for specific problem classes
  • Statistical analysis of results
  • Performance comparison tables
  • Visualization of scaling behavior
  • Reproducibility support

Usage Guidelines

  1. Suite Selection: Choose appropriate benchmark suite
  2. Instance Selection: Select representative instances
  3. Execution: Run experiments systematically
  4. Analysis: Perform statistical analysis
  5. Reporting: Generate comparison tables and plots

Tools/Libraries

  • DIMACS
  • TSPLIB
  • SuiteSparse Matrix Collection
  • Statistical tools

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.