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taro-ui-guide

Guides installation, Taro config, styling, and usage of taro-ui (At* components) for WeChat/Alipay/H5/RN. Use when building Taro apps with taro-ui, picking components, theming, i18n, or modifying packages/taro-ui source.

73

Quality

90%

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SecuritybySnyk

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SKILL.md
Quality
Evals
Security

Quality

Content

93%Weight 40%Scale 1-5

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

The content is lean, executable, and well-structured, with concrete config snippets and a clear agent workflow. Its only gap is the absence of an explicit validate-then-retry feedback loop in the troubleshooting workflow.

Suggestions

In the Agent 工作流 troubleshooting steps, add an explicit validate-and-retry loop (e.g. "if styles still missing after fix, re-check prebundle.exclude and rebuild") to strengthen workflow_clarity.

Consider noting in the troubleshoot-steps that build commands (pnpm build:ui) should be re-run after source changes before re-verifying, closing the edit-build-verify loop.

DimensionReasoningScore

Conciseness

Lean body of tables and short config snippets with no padding of concepts Claude already knows; every framing sentence (e.g. styles not auto-injected) conveys genuinely non-obvious information.

5 / 5

Actionability

Fully executable, copy-paste-ready config (h5.esnextModules, prebundle.exclude), import paths, SCSS and babel-plugin-import snippets, exact build commands, and a complete AtMessage example covering common cases.

5 / 5

Workflow Clarity

The Agent 工作流 section gives a clear 5-step sequence with concrete troubleshooting checkpoints, but lacks an explicit validate/fix/retry feedback-loop phrasing for the troubleshooting stages.

4 / 5

Progressive Disclosure

Clear overview in SKILL.md with well-signaled one-level-deep references: references/README.md indexes per-component references/<slug>.md files (verified real), with explicit "open only when using that component" guidance.

5 / 5

Total

19

/

20

Passed

Description

86%Weight 40%Scale 1-5

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 concise yet specific, clearly stating both what the skill does and when to use it with concrete trigger phrases. It carves a distinct niche via the taro-ui/At* component identifier and the monorepo-source-modification trigger.

DimensionReasoningScore

Specificity

Lists four concrete action domains ("installation, Taro config, styling, and usage") with the At* components artifact and four platforms, but actions remain domain-level rather than individually enumerated as required for a 5.

4 / 5

Completeness

Explicitly answers both what ("Guides installation, Taro config, styling, and usage of taro-ui") and when ("Use when building Taro apps with taro-ui, picking components, theming, i18n, or modifying packages/taro-ui source") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Strong natural phrases users would say ("building Taro apps with taro-ui", "picking components", "theming", "i18n"), but lacks common synonyms or colloquial variants a user might actually utter.

4 / 5

Distinctiveness Conflict Risk

The taro-ui (At* components) niche, platform list, and the unique "modifying packages/taro-ui source" trigger carve a clear niche with minimal conflict risk against other skills.

5 / 5

Total

18

/

20

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
jd-opensource/taro-ui
Reviewed

Table of Contents

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