benchmark-optimization-loop
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.
How do I install this agent skill?
npx skills add https://github.com/affaan-m/ecc --skill benchmark-optimization-loopIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The benchmark-optimization-loop skill provides a structured framework for performance testing and system optimization. It guides the AI agent through a controlled process of measuring baselines, generating hypothesis-driven variants, and verifying improvements through rigorous testing. The skill explicitly incorporates safety and correctness checks, requiring the agent to reject any variants that fail these gates before promoting them to the final implementation.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
What does this agent skill do?
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
- Measure the baseline.
- Identify bottlenecks from evidence.
- Generate variants that test one hypothesis each.
- Run variants with the same input shape.
- Reject variants that fail correctness, safety, or reproducibility.
- Promote the fastest safe variant.
- Codify the winning path in a script, command, test, config, or doc.
- 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.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/affaan-m/ecc/benchmark-optimization-loop">View benchmark-optimization-loop on skillZs</a>