‹ 首页

seo-geo-answerblocks

@hainrixz · 收录于 1 周前

Audit and generate answer-extractable content — verify each question heading is followed by a ~40-60 word direct answer, passages are self-contained (~134-167 words, no unresolved anaphora), and lists/tables/definitions/TL;DR blocks exist; draft answer-block and summary rewrites for the user to accept. Module M11. Feeds the AI Visibility score.

适合你,如果正在做SEO内容优化,希望页面在搜索结果中展示摘要。

/ 下载安装
seo-geo-answerblocks.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add hainrixz/claude-seo-ai/seo-geo-answerblocks
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- hainrixz/claude-seo-ai/seo-geo-answerblocks
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify hainrixz/claude-seo-ai/seo-geo-answerblocks
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
27GitHub stars
~919上下文体积 · 单文件
镜像托管

怎么用

技能原文 SKILL.md作者撰写 · MIT · 788e7b4

seo-geo-answerblocks (M11)

AI engines cite passages they can lift whole, without surrounding context — so passage structure is the highest-leverage on-page AI signal. This module checks extractability; for who is allowed to fetch and cite the page, see references/ai-crawlers.md.

Audits

Working from the PageSnapshot (rendered_dom if present, else raw_html):

  1. Heading → direct answer: for each H2/H3 that reads as a question (or implies one), is the first paragraph a direct, ~40-60 word answer — not a windup ("In this section we'll explore…")?
  2. Self-contained passages: are top-level passages ~134-167 words and answerable on their own? Flag unresolved anaphora ("as mentioned above", "this", "the latter") that needs prior context to parse.
  3. Structured forms: presence of lists, comparison tables, and explicit term definitions where the content warrants them — these are disproportionately quoted.
  4. Question-shaped headings: do headings phrase real user questions (how/what/why/when), matching likely prompts?
  5. TL;DR / summary blocks: an up-front summary or key-takeaways block the engine can extract verbatim.
  6. Semantic completeness: can each passage answer its heading with zero external context — the strongest single correlate of AI citation. This is the check that gates the score.
Fixes
  • PROPOSED: answer-block rewrites (heading → tight 40-60 word lead) and TL;DR drafts, generated from existing page content, surfaced one item at a time for the user to accept/edit. Each becomes a fix_preview diff only after acceptance.
  • ADVISORY: structural suggestions ("split this 400-word passage", "add a definition list here") where intent is editorial.
  • Never silently rewrite published prose, and never invent facts to fill a passage — if a claim is missing leave a clearly-marked TODO placeholder for the user. No finding here is auto.
Verification
  • Method is manual_review. The deterministic part is reproducible offline: word-count windows (answer 40-60w; passage 134-167w), question-heading detection, anaphora openers, and TL;DR presence via node ${CLAUDE_SKILL_DIR}/../../scripts/check-answerblocks.mjs --url <u> (or --file <path>). Use manual_review as the finding's verification.method (the enum has no heuristic value); the script is the verification.reproduce command.
  • Semantic completeness and anaphora resolution still require a judgment pass; when that pass or the rendered DOM is unavailable, status is needs_api (or warn), never a false pass.
Findings

Findings conform to schema/finding.schema.json. Examples:

  • M11.heading.no_direct_answer — a question H2 followed by a windup, not an answer (status fail, severity 5, fixable: proposed, axis ai, confidence directional).
  • M11.passage.unresolved_anaphora — passage opens with "As mentioned above…" and is not self-contained (status warn, severity 5, fixable: proposed, axis ai, confidence directional).
  • M11.summary.missing_tldr — no up-front summary/key-takeaways block on a long-form page (status warn, severity 2, fixable: proposed, axis ai, confidence directional).

Each finding's evidence.observed quotes the page (heading text + first sentence, or the offending clause) and verification.reproduce is the runnable command above; expected_impact is banded + confidence-tagged with no naked percentage.

Honesty
  • Word-count windows are heuristics from observed AI-citation patterns, not engine-published thresholds — they are directional, not established; flag a passage, don't hard-fail purely on length.
  • Adding a "TL;DR" label or stuffing question headings does nothing if the passage still can't answer standalone — semantic completeness is what carries weight, formatting alone is a myth this tool does not ship.
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

评论

登录即可评论;带「已验证安装」的,是发布者名下有本店的安装或持有记录。