Agent skill · data analytics · affaan-m
benchmark-optimization-loop
Convert 'make it faster' requests into a bounded measured optimization loop — baseline first, generate one-hypothesis variants, benchmark each against a correctness gate, and promote the fastest safe variant with reproducible commands. Use when asked to speed something up, try many variants, run recursive optimization, benchmark latency/throughput/cost, or pick the best implementation by repeated measured tests.
Why this skill is useful
Adds a structured approach to benchmarking and optimizing performance that the AI wouldn't reliably generate on its own.
What it needs
Requires bash, grep installed locally. About 2k tokens when loaded. Last updated 2026-08-06. 238,342 stars on the source repository.
What this skill does
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: 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 to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills affaan-m/benchmark-optimization-loop--a16ac4