CtrlK
BlogDocsLog inGet started
Tessl Logo

evernote-performance-tuning

Optimize Evernote integration performance. Use when improving response times, reducing API calls, or scaling Evernote integrations. Trigger with phrases like "evernote performance", "optimize evernote", "evernote speed", "evernote caching".

71

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Content

87%

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

The content is concise, actionable, and well-structured with a real one-level-deep reference, performing strongly on conciseness, actionability, and progressive disclosure. The main gap is workflow clarity, where the optimization steps lack explicit validation checkpoints or feedback loops.

Suggestions

Add an explicit validation/verification checkpoint after the optimization steps (e.g., 'confirm cache hit rate improved and p95 latency dropped before considering the change complete') to turn Step 5 monitoring into a feedback loop.

Provide a short concrete example or signature for Steps 3–5 (e.g., a getSyncChunk call snippet and a monitoring metric example) so every step is as copy-paste-ready as the caching code.

Trim or merge the Output section, which restates the five steps, to remove the small amount of redundancy with the Instructions section.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence — no explaining of what caching or Redis is — with executable code and concrete tables. The Output recap lightly restates the steps, but every section largely earns its place.

3 / 3

Actionability

It provides copy-paste-ready code (the EvernoteCache class) and concrete BAD/GOOD findNotesMetadata examples, with remaining specifics explicitly deferred to a real reference file. Steps 3–5 are prose-only but still specific.

3 / 3

Workflow Clarity

The five steps are clearly sequenced, but there are no explicit validation checkpoints or verify-before-proceeding gates; monitoring (Step 5) is a metric to track, not a feedback loop. This matches the level-2 anchor of steps present but checkpoints implicit.

2 / 3

Progressive Disclosure

The body is a clear overview with a well-signaled, one-level-deep reference to references/implementation-guide.md (verified to exist), and is organized into clean sections for easy navigation.

3 / 3

Total

11

/

12

Passed

Description

90%

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 well-structured with explicit what/when guidance and natural trigger phrases, giving it strong completeness, trigger quality, and distinctiveness. Its only weakness is a somewhat abstract 'what' clause that names a single action rather than enumerating concrete capabilities.

DimensionReasoningScore

Specificity

The 'what' is a single abstract action — 'Optimize Evernote integration performance' — which names the domain and one action but does not list multiple concrete capabilities. It is not vague enough for a 1, yet lacks the multiple specific actions the 3 anchor requires.

2 / 3

Completeness

It states both what it does ('Optimize Evernote integration performance') and when to use it ('Use when improving response times, reducing API calls, or scaling Evernote integrations'), with explicit triggers, matching the level-3 example.

3 / 3

Trigger Term Quality

Explicit natural trigger phrases — 'evernote performance', 'optimize evernote', 'evernote speed', 'evernote caching' — are terms a user would plausibly say, giving good coverage.

3 / 3

Distinctiveness Conflict Risk

It carves a clear niche (Evernote performance) with distinct, scoped triggers and is unlikely to fire for unrelated skills.

3 / 3

Total

11

/

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

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.