optimizing-cache-performance

Execute this skill enables AI assistant to analyze and improve application caching strategies. it optimizes cache hit rates, ttl configurations, cache key design, and invalidation strategies. use this skill when the user requests to "optimize cache performance"... Use when optimizing performance. Trigger with phrases like 'optimize', 'performance', or 'speed up'.

Quality

—

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Quality

Content

20%

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

The body reads as generic marketing and template filler rather than actionable guidance: no code, no commands, and no links to the bundled scripts that actually exist. It is over-padded with concepts Claude already knows and offers no validation checkpoints in its workflow.

Suggestions

Replace generic filler sections (Instructions, Output, Error Handling, Resources, Prerequisites) and the 'Best Practices' restatement of known TTL/key/invalidation concepts with concise, skill-specific guidance that assumes Claude's competence.

Add concrete, executable steps that invoke the bundled scripts (e.g. 'Run scripts/analyze_cache_hit_rate.py <logfile> to measure hit rate', 'Run scripts/optimize_ttl.py to get TTL suggestions') so the skill is copy-paste actionable instead of descriptive.

Insert a validation checkpoint into the workflow — e.g. after applying TTL/key/invalidation changes, re-measure hit rate and confirm no stale-data regression before declaring done — and link to the relevant scripts at each step for one-level-deep progressive disclosure.

Dimension	Reasoning	Score
Conciseness	Padded with generic filler Claude already knows — 'This skill empowers Claude to diagnose and resolve caching-related performance issues', plus template sections (Prerequisites, Instructions, Output, Error Handling, Resources) that add no skill-specific value. Best-practice bullets restate common TTL/key/invalidation knowledge.	1 / 3
Actionability	No executable code or commands anywhere; it describes rather than instructs ('Analyze the Redis configuration', 'Recommend optimal TTL values'). It never points Claude to the bundled scripts in ./scripts/ that would provide concrete actions.	1 / 3
Workflow Clarity	A three-step sequence exists in 'How It Works' (Identify → Analyze → Recommend), but steps are vague and lack any validation checkpoints or error-recovery feedback loops for changes that alter cache behavior.	2 / 3
Progressive Disclosure	The body has organized sections but never references the existing bundle files (e.g. scripts/analyze_cache_hit_rate.py, optimize_ttl.py), so the real reusable tooling is undiscoverable and content that belongs in references stays as inline generic prose.	2 / 3
	Total	6 / 12 Passed

Description

92%

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 clearly states concrete capabilities and gives explicit, natural trigger phrases. Its main weakness is that the trigger terms are broad performance words rather than cache-specific, raising conflict risk with other optimization skills.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'optimizes cache hit rates, ttl configurations, cache key design, and invalidation strategies' — naming the specific levers the skill acts on. Voice is third person ('it optimizes'), so no specificity penalty applies.	3 / 3
Completeness	Explicitly answers both what ('analyze and improve application caching strategies...') and when ('use this skill when the user requests to optimize cache performance', 'Trigger with phrases like...'), with explicit trigger guidance.	3 / 3
Trigger Term Quality	Provides natural trigger phrases users would actually say — 'optimize', 'performance', 'speed up' — alongside the full phrase 'optimize cache performance', giving good coverage of natural terms.	3 / 3
Distinctiveness Conflict Risk	The 'what' is cache-specific, but the trigger terms 'optimize', 'performance', 'speed up' are generic and would fire for any performance-tuning request, so it could overlap with other performance skills rather than being clearly distinct.	2 / 3
	Total	11 / 12 Passed

Validation

87%

Warnings & errors only

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

Validation — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
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
Commit: 3022dd3

Reviewed: 2 days ago

Table of Contents

Discovery Implementation Validation

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