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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.

78

Quality

100%

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SKILL.md
Quality
Evals
Security

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a tight, well-structured instruction skill with concrete commands, an explicit measured loop, and validation gates. It respects Claude's competence while adding genuine domain-specific process discipline.

DimensionReasoningScore

Conciseness

The body is lean with no padding of concepts Claude already knows; every section (baseline, loop, variant table, recursive search, promotion gate) earns its place. Not below 3 since it assumes competence and adds only domain-specific structure.

3 / 3

Actionability

Concrete executable commands appear in the variant table ('npm run job -- --batch 500', 'npm run job -- --workers 8') plus specific phrases and an exact promotion-gate checklist. Not below 2 because the guidance is copy-paste ready rather than abstract.

3 / 3

Workflow Clarity

An explicit 8-step loop with validation checkpoints (correctness gate, reject failing variants, rerun baseline to confirm delta) and clear promotion/stop conditions. Not below 3 since validation and feedback loops are present for batch/optimization work.

3 / 3

Progressive Disclosure

Under 50 lines, no bundle files, and well-organized into clear sections; as a simple single-purpose skill this satisfies the rubric's simple-skills note. Not below 3 because no external references are needed and structure is clean.

3 / 3

Total

12

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is concise, concrete, and uses third person with an explicit 'Use when' trigger clause. It clearly communicates both what the skill does and when to invoke it, with natural user-facing trigger terms.

DimensionReasoningScore

Specificity

Lists multiple concrete actions: 'try many variants', 'run recursive optimization', 'benchmark latency/throughput/cost', 'choose the best implementation by repeated measured tests'. Not below 3 since it names several specific actions rather than a vague domain.

3 / 3

Completeness

Explicit 'Use when' clause gives clear triggers, and the enumerated actions answer what the skill does. Not below 3 since both what and when are explicitly stated.

3 / 3

Trigger Term Quality

Natural user phrasings are well covered: 'make something faster', 'try many variants', 'recursive optimization', 'benchmark', 'choose the best implementation'. Not below 3 because these are terms users would naturally say.

3 / 3

Distinctiveness Conflict Risk

The benchmark-optimization-loop niche with repeated-measured-test triggers is distinct and unlikely to fire for unrelated skills. Not below 3 because triggers are specific to optimization work.

3 / 3

Total

12

/

12

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

14

/

16

Passed

Repository
affaan-m/ECC
Reviewed

Table of Contents

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