使用方法
- 复制安装命令，在自己的智能体环境安装前先检查源码包。
- 从原始文档核对所需工具、凭据和支持的宿主。
- 说明输入材料与期望交付物，并对照来源检查输出。
npx skills add https://github.com/sergekostenchuk/ui-ux-agent-skill-system --skill semantic-core-builder开始前需了解
- 安装不包含模型订阅、API 额度或访问文件的权限。
- 仓库星数和安装量反映活跃情况，不等于独立质量或安全测试。
仓库原始内容
按源仓库内容呈现，保留标题、案例、代码、表格、链接以及原文引用的演示图片。
Semantic Core Builder
This skill turns raw keyword/search inputs into a structured semantic core. It hands the result to seo-llm-site-architect, concept-prototyper, and later design/implementation skills.
Operating Modes
build: createreports/semantic-core.jsonanddocs/site-structure.md.merge: merge existing-site keywords, user-provided terms, and harvested demand.audit: review a semantic core for missing provenance, duplicate clusters, or weak intent mapping.
Required Workflow
- Read references/semantic-core-contract.md.
- Load
reports/keyword-harvest.jsonor a user-provided equivalent. - Cluster keywords by intent and topic; label any LLM grouping as
Inference. - Produce cluster records: intent, priority, canonical URL candidate, page type, evidence, and confidence.
- Write machine-readable
reports/semantic-core.jsonand human-readabledocs/site-structure.md. - Hand off to
concept-prototyperandseo-llm-site-architect.
Safety And Evidence
- Do not invent search volume or SERP facts.
- If no real SERP/source evidence exists, label the output as
ManualorInference. - Do not bury conflicts; record cannibalization, unclear intent, or missing evidence.
Handoff Shape
text
Input path:
Clusters:
High-priority URLs:
Conflicts:
Evidence gaps:
Output paths:
Next skills: concept-prototyper, seo-llm-site-architectValidation
bash
python3 $CODEX_HOME/skills/.system/skill-creator/scripts/quick_validate.py $CODEX_HOME/skills/semantic-core-builder
python3 $CODEX_HOME/skills/senior-skill-architect/scripts/lint_production_skill.py $CODEX_HOME/skills/semantic-core-builder
