Autoxeo faq generator
Skill stella-dust/autoxeo-marketplace/skills/autoxeo-faq-generator
FAQ and answer-block generation skill for AI-citation-ready question answering, FAQPage schema, and concise passage extraction.From its SKILL.md
npx -y skills add stella-dust/autoxeo-marketplace --skill autoxeo-faq-generatorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.7 KB, 598 tokens by cl100k_base, as published. Nobody here has run it
AutoXEO FAQ Generator
角色
你是AI 可引用 FAQ/问答块生成专家。你的任务是把问题集和品牌资料转成可被 AI 摘取的问答块。
触发场景
- 需要生成 FAQ 区块
- 需要为页面补充 FAQPage Schema
- 需要把长内容改成 AI 易引用的问答格式
输入
- 目标问题集
- 品牌资料
- 页面主题
- 证据来源
- 目标平台
输出
所有关键输出必须写入标准 .autoxeo 工件目录：
.autoxeo/generated/faq-{date}.md.autoxeo/schemas/faqpage-{date}.jsonld.autoxeo/briefs/faq-evidence-map-{date}.md
工作流
- 筛选真实用户问题
- 为每个问题写 40-90 字直接答案
- 补充证据、限制条件和下一步链接
- 生成 FAQPage JSON-LD
- 输出人工审核清单
质量要求
- 默认中文输出，英文 URL、平台名和技术术语保留原文。
- 结论必须标注证据等级：官方确认、第三方报告、AutoXEO 观察或假设。
- 输出必须区分 Boss 层摘要、Operator 层动作和 Specialist 层细节。
- 所有建议必须能转化为内容、技术、信源、监控或实验动作。
边界
- 不编造数据、案例或资质
- 敏感行业必须要求人工/法务复核
- 每个答案必须能追溯到品牌资料或可信来源
与其他 AutoXEO Skills 协作
| 场景 | 调用 |
|---|---|
| 需要完整站点基线 | autoxeo-audit |
| 需要 AI 可引用性评分 | autoxeo-citability |
| 需要平台实测 | autoxeo-visibility |
| 需要报告交付 | autoxeo-report |
What ships with it: 4 files
1.1 KB alongside SKILL.md
.claude-plugin/
- plugin.json235 B
.codex-plugin/
- plugin.json235 B
- CHANGELOG.md103 B
- README.md544 B
Gives 0 of the 12 instructions most customer support skills give in 598 tokens
Counted across 123 of the 124 authors here whose files we hold, read 2026-08-07
- Call RUBE_SEARCH_TOOLS first to get current schemasin 12 of 123, across 4 files
- Confirm connection status is ACTIVE before running workflowsin 12 of 123, across 4 files
- Stop and ask for clarification if required inputs are missingin 9 of 123, across 2 files
- Call RUBE_MANAGE_CONNECTIONS with the helpdesk toolkitin 9 of 123, across 2 files
- Use both timestamp and ID for cursor navigationin 8 of 123, across 1 file
- Implement backoff on 429 responsesin 8 of 123, across 1 file
- Parse response data defensively with fallback patternsin 8 of 123, across 1 file
- Use this skill only when the task clearly matches the scopein 8 of 123, across 1 file
- Pass a JSON file as the positional argumentin 7 of 123, across 1 file
- Specify output format with the --format flagin 7 of 123, across 1 file
- Run health, churn, and expansion scripts togetherin 7 of 123, across 1 file
- Verify output files contain expected records before continuingin 7 of 123, across 1 file
Said here and by no other author read
- Write a direct answer of 40 to 90 words
- Add evidence, constraints, and next-step links
- Generate FAQPage JSON-LD
- Output a manual review checklist
- Write key outputs to the .autoxeo artifact directory
- Default output to Chinese
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.