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Skills/affaan-m/ecc/benchmark-optimization-loop
benchmark-optimization-loop logo

benchmark-optimization-loop

affaan-m/ecc
575 installs216K stars
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Installation

npx skills add https://github.com/affaan-m/ecc --skill benchmark-optimization-loop

Summary

Use when the user asks to make something faster, try many variants, run recursive optimization, benchmark latency/throughput/cost, or choose the best implementation by repeated measured tests.

SKILL.md

Benchmark Optimization Loop

Use this skill to convert "make it 20x faster" or "try 50 recursive optimizations" into a bounded measured loop that can actually improve a system.

Required Baseline

Do not optimize until these exist:

  • the operation being optimized;
  • the correctness gate that must stay green;
  • the metric: wall time, p95 latency, rows/sec, cost/run, memory, error rate;
  • the current baseline;
  • the search budget: max variants, max time, max spend, max data impact.

If the user asks for an unrealistic target, keep the ambition but make the loop bounded and measurable.

Loop

  1. Measure the baseline.
  2. Identify bottlenecks from evidence.
  3. Generate variants that test one hypothesis each.
  4. Run variants with the same input shape.
  5. Reject variants that fail correctness, safety, or reproducibility.
  6. Promote the fastest safe variant.
  7. Codify the winning path in a script, command, test, config, or doc.
  8. Rerun the baseline and winner to confirm the delta.

Variant Table

Track variants like this:

Variant | Hypothesis | Command | Time | Correct? | Notes
baseline | current path | npm run job | 120s | yes | stable
batch-500 | fewer round trips | npm run job -- --batch 500 | 42s | yes | winner
parallel-8 | more workers | npm run job -- --workers 8 | 31s | no | rate limited

Recursive Search

For recursive or hyperparameter work:

  • persist every run to a ledger;
  • compare against the prior accepted winner, not only the previous run;
  • keep a holdout or replay check;
  • stop when improvement is within noise, correctness fails, cost exceeds the

budget, or the search starts changing more variables than it can explain.

Use phrases like "best measured safe variant" instead of "global optimum" unless the search space was actually exhaustive.

Promotion Gate

A variant cannot become the new default until:

  • correctness tests pass;
  • the performance delta is repeated or explained;
  • rollback is obvious;
  • the change is encoded in source control or a durable runbook;
  • the final summary includes exact commands and measurements.

Score

0–100
65/ 100

Grade

C

Popularity17/30

575 installs — growing adoption. Source repo has 215,584 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Benchmark Optimization Loop skill score badge previewScore badge

Markdown

[![Benchmark Optimization Loop skill](https://www.remoteopenclaw.com/skills/affaan-m/ecc/benchmark-optimization-loop/badges/score.svg)](https://www.remoteopenclaw.com/skills/affaan-m/ecc/benchmark-optimization-loop)

HTML

<a href="https://www.remoteopenclaw.com/skills/affaan-m/ecc/benchmark-optimization-loop"><img src="https://www.remoteopenclaw.com/skills/affaan-m/ecc/benchmark-optimization-loop/badges/score.svg" alt="Benchmark Optimization Loop skill"/></a>

Benchmark Optimization Loop FAQ

How do I install the Benchmark Optimization Loop skill?

Run “npx skills add https://github.com/affaan-m/ecc --skill benchmark-optimization-loop” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Benchmark Optimization Loop skill do?

Use when the user asks to make something faster, try many variants, run recursive optimization, benchmark latency/throughput/cost, or choose the best implementation by repeated measured tests. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Benchmark Optimization Loop skill free?

Yes. Benchmark Optimization Loop is a free, open-source skill published from affaan-m/ecc. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Benchmark Optimization Loop work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Benchmark Optimization Loop works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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