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customerio-performance-tuning

Optimize Customer.io API performance for high throughput. Use when improving response times, implementing connection pooling, batching, caching, or regional routing. Trigger: "customer.io performance", "optimize customer.io", "customer.io latency", "customer.io connection pooling".

66

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

62%

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

The content is highly actionable with complete, executable code, but it is verbose and monolithic: full implementations are inlined while two existing reference files go unused and unlinked, and the workflow lacks explicit validation checkpoints for batch throughput operations.

Suggestions

Move the full code implementations into references/implementation-guide.md and implementation.md, keeping SKILL.md as a lean overview that links to them, so the existing bundle files are actually navigable.

Add explicit validation/feedback checkpoints to the workflow — e.g., 'measure baseline p99 latency, apply pooling, re-measure, only proceed if p99 dropped' — so batch/throughput operations close the loop.

Trim restated library mechanics and inline tutorial comments (e.g., explaining what keepAlive does) since Claude already knows Node's https.Agent, reducing token load while keeping the executable code.

DimensionReasoningScore

Conciseness

The body is a long wall of full TypeScript class implementations (LRUCache, batch processor, regional router, etc.) that restates library mechanics and inline comments Claude already knows; while accurate, it is far from lean and could be tightened or pushed to references.

2 / 3

Actionability

Every step ships complete, executable TypeScript with imports, env-var wiring, and concrete parameters (maxSockets, TTL, concurrency), matching the 'fully executable, copy-paste ready' anchor.

3 / 3

Workflow Clarity

The five steps are sequenced and the Performance Targets table gives a baseline, but there are no validation checkpoints or measurement-driven feedback loops (e.g., 'measure p99, then enable pooling') for these batch/throughput operations; the judging guideline caps batch-operation workflows at 2 without explicit validation.

2 / 3

Progressive Disclosure

The body is monolithic — all detailed implementations are inlined despite two real bundle files existing in references/ (implementation-guide.md, implementation.md) that are never linked, so structure exists but navigation/signaling is absent and content that should be split is inline.

2 / 3

Total

9

/

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 strong: it concisely states concrete capabilities, provides an explicit 'Use when' clause, and lists natural trigger phrases scoped to a distinct Customer.io niche. It does not pad with fluff or over-claim.

DimensionReasoningScore

Specificity

Names multiple concrete actions — 'connection pooling, batching, caching, or regional routing' plus 'improving response times' — rather than vague language, matching the level-3 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

It states what ('Optimize Customer.io API performance for high throughput') and when ('Use when improving response times...'), with explicit triggers, clearly answering both 'what' and 'when' per the level-3 anchor.

3 / 3

Trigger Term Quality

The explicit 'Trigger:' list gives natural phrases a user would actually say ('customer.io performance', 'optimize customer.io', 'customer.io latency', 'customer.io connection pooling'), giving good coverage of natural terms.

3 / 3

Distinctiveness Conflict Risk

The Customer.io-specific framing and explicit triggers carve a clear niche unlikely to conflict with generic API or analytics skills; no overlap with unrelated skills is plausible.

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

allowed_tools_field

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

Warning

frontmatter_unknown_keys

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

Warning

Total

14

/

16

Passed

Repository
jeremylongshore/claude-code-plugins-plus-skills
Reviewed

Table of Contents

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