Agent Skill to Benchmark Optimization Loop
Agent Skill to Benchmark Optimization Loop is a verified SKILL blueprint on Promptally in Fullstack & Backend Engineering optimized for leading AI models. 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. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Technical Specifications
| Specification | Value |
|---|---|
| Artifact type | SKILL (Fullstack & Backend Engineering) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 664 |
| Source file | SKILL.md |
| Access tier | Free public (MIT) |
Pre-Filled Template
--- name: benchmark-optimization-loop description: 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. license: MIT metadata: origin: ECC tools: Read, Write, Edit, Bash, Grep, Glob --- # 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: ```text 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 to use this skill
- Review the pre-filled example and source files above.
- Copy the template or download
SKILL.md, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use Agent Skill to Benchmark Optimization Loop?
Open the skill on Promptally, review the pre-filled example, then copy the template or download SKILL.md and paste it into your model, IDE or workflow tool. Agent Skill to Benchmark Optimization Loop is a static blueprint with no dynamic variables. Copy it and use it as-is.
Is Agent Skill to Benchmark Optimization Loop free?
Yes. Agent Skill to Benchmark Optimization Loop is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does Agent Skill to Benchmark Optimization Loop need?
Agent Skill to Benchmark Optimization Loop is a static blueprint with no dynamic variables. Copy it and use it as-is.