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api-response-optimization

Optimizes API performance through payload reduction, caching strategies, and compression techniques. Use when improving API response times, reducing bandwidth usage, or implementing efficient caching.

69

Quality

87%

Does it follow best practices?

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Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

80%Weight 40%Scale 1-5

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

A lean, highly actionable skill with three executable code examples and useful performance targets, essentially free of token waste. Its main gap is workflow clarity: the techniques are presented as parallel sections with an unordered checklist, and no profile-first or verify-after measurement loop sequences them.

Suggestions

Sequence the Optimization Checklist into an ordered workflow: profile the current endpoint, record a baseline, apply techniques, then re-measure against the Performance Targets table.

Move 'Profile before optimizing' to the top of the checklist (or its own first step) so measurement leads the process instead of appearing last under Best Practices.

Add brief code or a concrete pointer for the two checklist items that currently have no implementation detail: pagination for collections and eager loading to prevent N+1 queries.

DimensionReasoningScore

Conciseness

Every section is executable code, a compact metrics table, or terse directives with zero padding or explanation of concepts Claude already knows. Not 4: there is essentially nothing left to trim.

5 / 5

Actionability

Three copy-paste-ready Express snippets (sparse fieldsets, ETag/304 flow, compression with filter and level) cover the core techniques. Not 5: pagination and eager-loading for N+1 appear only as bare checklist bullets with no code, and the compression snippet mixes require() with ESM-style usage elsewhere.

4 / 5

Workflow Clarity

The Optimization Checklist lists relevant steps but is an unordered list, and 'Profile before optimizing' sits last in Best Practices rather than leading the sequence; there is no measure-baseline, apply, re-measure feedback loop. Not 4: validation/checkpoint gaps are structural, not minor; not 2: the per-technique guidance is unambiguous.

3 / 5

Progressive Disclosure

No bundle files exist, and nothing in the body (short code blocks, a table, checklists) needs to be split out; sections are clearly organized and navigable. Per the simple-skill guidance, well-organized sections with no need for external references merit a 5.

5 / 5

Total

17

/

20

Passed

Description

88%Weight 40%Scale 1-5

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

A strong description that names three concrete techniques in third person and provides an explicit multi-trigger 'Use when' clause with natural user phrasing. Its only weakness is modest keyword coverage — synonyms like latency, slow API, or payload size would make triggers more comprehensive.

DimensionReasoningScore

Specificity

Names the domain and three concrete, distinct actions ('payload reduction, caching strategies, and compression techniques') that comprehensively mirror the skill's actual scope. Not 4: coverage shows no gaps relative to what the skill delivers.

5 / 5

Completeness

Explicitly answers both 'what' (three named techniques, third person 'Optimizes') and 'when' ('Use when improving API response times, reducing bandwidth usage, or implementing efficient caching') with concrete trigger phrases. Not 4: the when-clause is explicit and multi-trigger, not merely adequate.

5 / 5

Trigger Term Quality

'improving API response times, reducing bandwidth usage, or implementing efficient caching' are phrases users would naturally say. Not 5: common variations like 'slow API', 'latency', 'API speed', or 'payload size' are absent.

4 / 5

Distinctiveness Conflict Risk

The API-response-optimization niche with response-time/bandwidth/caching triggers is mostly distinct. Not 5: 'caching' is a broadly shared trigger with general web-performance and database-tuning skills; not 3: the triggers are clearly tied to API response optimization.

4 / 5

Total

18

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

secondsky/claude-skills

Path

plugins/api-response-optimization/skills/api-response-optimization/SKILL.md

Reviewed

Table of Contents

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