Frontend-specific technical decision criteria, anti-patterns, debugging techniques, and quality check workflow. Use when making frontend technical decisions or performing quality assurance.
50
54%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/frontend-ai-guide/SKILL.mdQuality
Discovery
67%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 provides a reasonable structure with both 'what' and 'when' clauses, but the capabilities listed are abstract categories rather than concrete actions. The trigger terms are too broad and could benefit from specific frontend technologies, file types, or common user phrasings to improve selection accuracy.
Suggestions
Replace abstract categories with concrete actions, e.g., 'Evaluates component architecture, identifies CSS/JS anti-patterns, debugs rendering issues, and runs frontend quality checks'.
Add more specific trigger terms users would naturally use, such as 'CSS', 'JavaScript', 'React', 'UI bugs', 'layout issues', 'responsive design', 'browser compatibility', or 'performance optimization'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (frontend) and lists categories of actions (technical decision criteria, anti-patterns, debugging techniques, quality check workflow), but these are abstract categories rather than concrete specific actions like 'extract text' or 'fill forms'. | 2 / 3 |
Completeness | Answers both 'what' (frontend technical decision criteria, anti-patterns, debugging techniques, quality check workflow) and 'when' explicitly with 'Use when making frontend technical decisions or performing quality assurance.' | 3 / 3 |
Trigger Term Quality | Includes some relevant terms like 'frontend', 'debugging', 'quality assurance', and 'anti-patterns', but misses many natural user terms like 'CSS', 'React', 'UI bugs', 'layout issues', 'responsive design', 'browser compatibility', or specific frontend frameworks. | 2 / 3 |
Distinctiveness Conflict Risk | 'Frontend technical decisions' is somewhat specific to frontend work, but 'quality assurance' and 'debugging techniques' are broad enough to overlap with general debugging or QA skills. The term 'technical decisions' is also quite generic and could conflict with architecture or backend decision-making skills. | 2 / 3 |
Total | 9 / 12 Passed |
Implementation
42%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill covers a broad range of frontend development concerns including anti-patterns, debugging, quality checks, and decision criteria. Its main weakness is being a monolithic document that tries to cover too many topics without progressive disclosure or external references, making it token-heavy for context loading. The actionability is moderate—while some sections provide concrete commands and code, many sections remain at the conceptual/principle level rather than providing executable guidance.
Suggestions
Split the content into separate focused files (e.g., ANTI_PATTERNS.md, DEBUGGING.md, QUALITY_CHECKS.md, DECISION_CRITERIA.md) and make SKILL.md a concise overview with clear links to each.
Make code examples complete and executable rather than using placeholder comments like `/* ... */`—show actual minimal implementations.
Remove explanations of concepts Claude already knows (SRP, DRY, Rule of Three attribution to Fowler) and focus on the project-specific application of these principles.
Add explicit validation/feedback loops to workflows, especially the Quality Check Workflow (e.g., 'If build fails with type errors, run type-check first to isolate issues before fixing').
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is moderately efficient but includes some unnecessary explanations that Claude would already know (e.g., explaining what DRY means, what SRP is, basic debugging concepts like reading error messages). Some sections like the anti-patterns list could be more terse, and the design anti-patterns descriptions are somewhat verbose. | 2 / 3 |
Actionability | The skill provides some concrete guidance (grep commands for impact analysis, debug log format, TypeScript examples) but much of the content is conceptual rather than executable. The code examples are incomplete (e.g., EmailInput with `/* ... */`), and many sections describe principles rather than providing copy-paste ready instructions. The quality check commands are concrete but lack the actual package manager invocation syntax. | 2 / 3 |
Workflow Clarity | The Quality Check Workflow has clear phases and the Impact Analysis has a 3-stage process, but validation checkpoints are mostly implicit. The debugging section has a reasonable sequence but lacks explicit feedback loops. The 'Implementation Completeness Assurance' section has good structure but the overall document lacks clear 'if X fails, do Y' recovery steps in most workflows. | 2 / 3 |
Progressive Disclosure | The content is a monolithic wall of text with no references to external files and no clear navigation structure. Multiple distinct topics (anti-patterns, debugging, quality checks, technical decisions, impact analysis) are all inlined in a single large document with no signposting to separate reference materials. This would benefit significantly from being split into focused files with a concise overview. | 1 / 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.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
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Table of Contents
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