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react-ui

Opinionated constraints for building better interfaces with agents.

67

1.41x
Quality

50%

Does it follow best practices?

Impact

99%

1.41x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./tests/ext_conformance/artifacts/agents-mikeastock/skills/react-ui/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Discovery

0%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This description is too vague and abstract to be useful for skill selection. It fails to specify concrete actions, lacks natural trigger terms, provides no guidance on when to use the skill, and is not distinguishable from other potentially overlapping skills. It reads more like a tagline than a functional description.

Suggestions

Replace abstract language with concrete actions the skill performs, e.g., 'Provides layout patterns, component guidelines, and interaction rules for designing agent-facing UIs.'

Add an explicit 'Use when...' clause with natural trigger terms, e.g., 'Use when designing chat interfaces, agent dashboards, conversational UIs, or building front-ends for AI agents.'

Clarify the specific domain niche to reduce conflict risk — specify what kind of interfaces (web, chat, dashboard) and what kind of agents (AI assistants, chatbots, autonomous agents).

DimensionReasoningScore

Specificity

The description uses vague, abstract language ('opinionated constraints', 'better interfaces') without listing any concrete actions. It does not describe what the skill actually does in actionable terms.

1 / 3

Completeness

The description neither clearly explains what the skill does nor when Claude should use it. There is no 'Use when...' clause or equivalent explicit trigger guidance.

1 / 3

Trigger Term Quality

The terms 'opinionated constraints', 'interfaces', and 'agents' are abstract and not natural keywords a user would say when seeking help. There are no concrete trigger terms like 'UI design', 'agent UI', 'chatbot interface', etc.

1 / 3

Distinctiveness Conflict Risk

The description is extremely generic — 'building better interfaces with agents' could overlap with UI design skills, agent development skills, UX guidelines, or many other domains. There is nothing to distinguish it clearly.

1 / 3

Total

4

/

12

Passed

Implementation

100%

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

This is an excellent constraint-based skill file. It is maximally concise, using a consistent MUST/SHOULD/NEVER pattern that makes every rule immediately actionable. The categorical organization is clean and logical, and the content avoids explaining anything Claude already knows while providing specific, opinionated guidance that Claude wouldn't have by default.

DimensionReasoningScore

Conciseness

Every line is a constraint or rule that Claude wouldn't inherently know as project-specific opinion. No filler, no explanations of what Tailwind or shadcn are. Each bullet earns its place.

3 / 3

Actionability

Rules are concrete and directly actionable: specific utility names (`cn`, `text-balance`, `tabular-nums`), specific tools (`npx shadcn@latest add`), specific thresholds (`200ms`), and specific CSS properties to avoid. Claude can apply these immediately without ambiguity.

3 / 3

Workflow Clarity

This is a constraint-based skill rather than a multi-step workflow, so sequential steps aren't applicable. The rules are clearly categorized by domain (Stack, Components, Interaction, Animation, etc.) with unambiguous MUST/SHOULD/NEVER modifiers, making the priority and enforcement level of each rule crystal clear.

3 / 3

Progressive Disclosure

Content is well-organized into logical sections with clear headings. At under 80 lines with no need for external deep-dives, the single-file format is appropriate. The one external link (shadcn/ui docs) is properly signaled.

3 / 3

Total

12

/

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.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
Dicklesworthstone/pi_agent_rust
Reviewed

Table of Contents

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