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.
95
93%
Does it follow best practices?
Impact
98%
1.03xAverage score across 3 eval scenarios
Passed
No known issues
Quality
Discovery
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.
This is a well-crafted skill description that follows best practices. It uses third person voice, lists specific concrete capabilities, includes an explicit 'Use when...' clause with natural trigger terms, and carves out a distinct niche around API performance optimization that minimizes conflict risk with other skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'payload reduction', 'caching strategies', and 'compression techniques'. These are distinct, actionable optimization approaches. | 3 / 3 |
Completeness | Clearly answers both what (optimizes API performance through payload reduction, caching, compression) AND when (explicit 'Use when...' clause covering response times, bandwidth, and caching scenarios). | 3 / 3 |
Trigger Term Quality | Includes natural keywords users would say: 'API performance', 'response times', 'bandwidth usage', 'caching'. These are terms developers commonly use when discussing API optimization. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused specifically on API performance optimization with distinct triggers like 'payload reduction', 'bandwidth usage', and 'compression'. Unlikely to conflict with general coding or other API skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-crafted skill with excellent conciseness and actionability. The code examples are production-ready and cover the key optimization techniques effectively. The main weakness is the lack of explicit validation steps to verify optimizations are working and guidance on troubleshooting when targets aren't met.
Suggestions
Add a validation section showing how to measure before/after metrics (e.g., using curl with timing, checking response headers for compression)
Include a troubleshooting flow: 'If response time still >100ms: check N+1 queries -> verify compression enabled -> profile with APM'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, providing only essential code examples and guidance without explaining basic concepts Claude already knows. Every section delivers actionable value without padding. | 3 / 3 |
Actionability | All code examples are complete and executable JavaScript/Node.js snippets that can be directly used. The sparse fieldsets, caching headers, and compression examples are copy-paste ready with real implementations. | 3 / 3 |
Workflow Clarity | The checklist provides a sequence of optimization steps, but lacks explicit validation checkpoints or feedback loops. There's no guidance on how to verify optimizations worked or what to do if targets aren't met. | 2 / 3 |
Progressive Disclosure | For a skill of this size (~60 lines), the content is well-organized with clear section headers. Each technique is self-contained, and the structure allows easy navigation without needing external file references. | 3 / 3 |
Total | 11 / 12 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 — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Repository
- secondsky/claude-skills
- Commit
90d6bd7
- Reviewed
Table of Contents
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