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axiom-analyze-swiftui-performance

Use when the user mentions SwiftUI performance, janky scrolling, slow animations, or view update issues.

52

Quality

57%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./axiom-codex/skills/axiom-analyze-swiftui-performance/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

This is a highly actionable, well-sequenced audit skill with concrete patterns, fixes, and verification checkpoints; its main weaknesses are some preamble padding and a monolithic structure with no progressive disclosure.

Suggestions

Trim the "Tool Use Is Mandatory" section to a one-line directive and consolidate the repeated per-pattern "verify near `var body`" instruction into a single Phase 2 note.

Move the 10 known anti-pattern definitions and/or the Phase 3/4 cross-reference tables into a `references/` file (e.g. `anti-patterns.md`), keeping SKILL.md as an overview that links one level deep.

Hoist the reusable exclude-path glob list into a short variable-style block referenced once instead of restating exclusions inline.

DimensionReasoningScore

Conciseness

The body is mostly efficient and well-organized, but the "Tool Use Is Mandatory" preamble and the repeated "verify near `var body`" phrasings across patterns add padding that could be tightened.

2 / 3

Actionability

It gives concrete, copy-paste-ready Grep patterns and specific fix snippets (e.g. `ForEach(items, id: \.id)`, `.onDisappear { timer?.invalidate() }`, `static let`), leaving little ambiguity about what to run or change.

3 / 3

Workflow Clarity

A clearly sequenced five-phase pipeline with an explicit validation checkpoint ("use Read to verify the surrounding context before reporting") and a fully specified output format; being a read-only audit, the destructive-operation cap does not apply.

3 / 3

Progressive Disclosure

Content is well-sectioned into phases but lives entirely in one ~250-line monolithic file with no bundle files or one-level-deep references to split the 10 detection patterns or Phase 3/4 tables; the under-50-line simple-skill exception does not apply.

2 / 3

Total

10

/

12

Passed

Description

37%

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 a strong, natural trigger clause but functions only as a "when" — it never states what the skill does, leaving both specificity and completeness weak.

Suggestions

Prepend a "what" clause naming concrete actions, e.g. "Detects SwiftUI performance anti-patterns and context-dependent frame-drop causes by scanning view bodies. Use when the user mentions…".

Keep the existing trigger terms, but add the action verbs (detects, analyzes, cross-references) so the capability is explicit rather than implied by the skill name.

Disambiguate from the sibling `axiom-swiftui` skill by noting this one is specifically for scrolling/animation jank and frame drops, not general SwiftUI debugging.

DimensionReasoningScore

Specificity

The description is purely a trigger clause ("Use when the user mentions…") and names no concrete actions or capabilities at all — there is no verb describing what the skill does.

1 / 3

Completeness

It explicitly answers "when" ("Use when the user mentions…") but omits "what" entirely; per the score-only-what-is-stated guideline, the missing capability statement cannot be inferred.

1 / 3

Trigger Term Quality

It surfaces natural phrases a user would actually say — "SwiftUI performance", "janky scrolling", "slow animations", "view update issues" — giving good coverage of common variations.

3 / 3

Distinctiveness Conflict Risk

The triggers are specific to SwiftUI performance, but the body references a sibling `axiom-swiftui` skill that also covers performance, so overlap with a similar skill remains possible.

2 / 3

Total

7

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
CharlesWiltgen/Axiom
Reviewed

Table of Contents

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