Benchmark Methodology

by affaan-m

Benchmark Methodology is a Data skill for Claude Code, published by affaan-m in ECC.

239.8K stars36.4K forkson affaan-m/ECCAdded 2026/08/13Repository updated 2026/08/12

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Install in seconds

Install Benchmark Methodology

Copy Benchmark Methodology into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/affaan-m/ECC/tree/main/skills/benchmark-methodology ~/.claude/skills/benchmark-methodology

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/affaan-m/ECC.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/benchmark-methodology/SKILL.md in affaan-m/ECC
Installs to: ~/.claude/skills/benchmark-methodology
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Benchmark Methodology does

Benchmark Methodology scores competitors across nine weighted dimensions using explicit 1–5 rubrics and a tension plot. Use it after competitive-platform-analysis to produce comparable, evidence-anchored profile cards for a competitive report.

Benchmark Methodology is cataloged under Data on DirSkills. Benchmark Methodology comes from a repository tagged ai-agents, anthropic, claude, claude-code and developer-tools.

Documentation

README

Excerpt

Benchmark Methodology

Use this skill to turn a scoped competitor set into comparable, defensible scores. Each competitor is assessed on the same nine dimensions, with explicit 1–5 rubrics, then captured in a uniform profile card. Consistency is the point: scores are only useful if the same evidence would earn the same number for any competitor.

When to Activate

A scoped, tiered competitor set from competitive-platform-analysis is ready to score.
Need comparable, evidence-anchored scores across competitors — not gut-feel rankings.
Client's strategic tension (the paired axes defining their target white-space) has been established.
Preparing to produce profile cards for assembly in competitive-report-structure.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Benchmark Methodology

What else does affaan-m publish alongside Benchmark Methodology?
Benchmark Methodology is one of 25 skills that DirSkills catalogs from affaan-m/ECC, the repository it ships in. Its siblings there include AI Regression Testing, AI-First Engineering and API Connector Builder. Each one is a separate skill with its own page in this directory, installs the same way Benchmark Methodology does, and is maintained by affaan-m in that same repository. The rest of the collection is listed on the affaan-m/ECC page.
How does Benchmark Methodology compare to other Data skills?
Benchmark Methodology ranks #1 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Jupyter Notebook, Solana and Hyperliquid. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Benchmark Methodology against them. Open each page to compare what they document and how they install.