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clay-performance-tuning

Optimize Clay API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Clay integrations. Trigger with phrases like "clay performance", "optimize clay", "clay latency", "clay caching", "clay slow", "clay batch".

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill clay-performance-tuning
What are skills?

92

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

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 excels across all dimensions. It uses third person voice, specifies concrete optimization techniques, provides explicit 'Use when' guidance with multiple scenarios, and includes a comprehensive list of natural trigger phrases. The description clearly carves out a distinct niche for Clay-specific API performance optimization.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'caching, batching, and connection pooling' - these are distinct, actionable optimization techniques rather than vague language.

3 / 3

Completeness

Clearly answers both what ('Optimize Clay API performance with caching, batching, and connection pooling') and when ('Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput') with explicit trigger guidance.

3 / 3

Trigger Term Quality

Excellent coverage of natural terms users would say: 'clay performance', 'optimize clay', 'clay latency', 'clay caching', 'clay slow', 'clay batch' - includes both technical terms and common user complaints like 'slow'.

3 / 3

Distinctiveness Conflict Risk

Very specific niche targeting Clay API performance optimization specifically - the combination of 'Clay' + performance/optimization terms creates a distinct trigger profile unlikely to conflict with general API or caching 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 strong, actionable skill with excellent code examples and efficient token usage. The main weakness is the workflow section, which lists steps without validation checkpoints to verify each optimization is working before proceeding. The error handling table is helpful but doesn't integrate into a feedback loop.

Suggestions

Add validation steps after each optimization phase (e.g., 'Verify cache hit rate > 80% before proceeding to batching')

Include a simple benchmark script to measure before/after latency for each optimization step

DimensionReasoningScore

Conciseness

The content is lean and efficient, providing code examples without unnecessary explanation of concepts Claude already knows. No verbose descriptions of what caching or batching are—just direct implementation patterns.

3 / 3

Actionability

All code examples are fully executable TypeScript with proper imports, types, and usage patterns. The caching, batching, connection pooling, and pagination examples are copy-paste ready.

3 / 3

Workflow Clarity

Steps are listed in the Instructions section but lack validation checkpoints. There's no guidance on verifying that caching is working, measuring improvement after each step, or feedback loops for troubleshooting if optimizations don't help.

2 / 3

Progressive Disclosure

Content is well-organized with clear sections, a helpful benchmark table upfront, and appropriate references to external resources and related skills at the end. The structure allows quick scanning and targeted reading.

3 / 3

Total

11

/

12

Passed

Validation

75%

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

Validation12 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

metadata_version

'metadata' field is not a dictionary

Warning

frontmatter_unknown_keys

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

Warning

body_steps

No step-by-step structure detected (no ordered list); consider adding a simple workflow

Warning

Total

12

/

16

Passed

Reviewed

Table of Contents

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