
Performance Benchmark
Measures page, API, and build speed, and flags regressions before and after changes.
- Repository
- affaan-m/ECC
- Stars
- 295,127
- Licence
- MIT
- Files
- 1 file
What it does
When installed, the agent can measure how fast a website, API, or build runs and save those numbers as a baseline. After you change code, it runs the same measurements again and produces a before/after table marking each metric as better or worse. It is aimed at catching slowdowns before they ship, and the skill describes using a browser tool for real page measurements.
Great for
- Developers who want to catch performance regressions in pull requests
- Teams setting performance targets before a product launch
- Developers comparing a web stack against alternatives
Skip it if
- Non-technical users who only need a quick page speed score, since it assumes familiarity with metrics like p95 latency and LCP and with a browser tool being available
- Projects where load tests against live production APIs are not authorised, because the API mode sends 100 requests per endpoint plus 10 concurrent requests
Try asking
- “Set a performance baseline for my site before I make changes”
- “Compare current performance against the saved baseline and show me the table”
- “Benchmark the API endpoints in this project and check p95 latency against our SLA”
- “Measure how long our cold build, hot reload and test suite take”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 1 original files, the MIT licence and an attribution note.
benchmark.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip benchmark.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip benchmark.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Save a baseline on the same machine and network conditions before making changes so comparisons are fair
- Set your own SLA and performance targets in the prompt, since the skill's example thresholds may not match your project
- Only run API load tests against endpoints you own or are permitted to test
What's inside
- SKILL.md
Redistributed unmodified from affaan-m/ECC under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.