gr-blog-post
本 skill 默认 dev/B2B 读者。写 2C 教育/医疗/金融(YMYL) 内容时:
Works with
Agent Skills format with YAML frontmatter. Claude Code reads it as-is.
---
name: "gr-blog-post"
description: "本 skill 默认 dev/B2B 读者。写 2C 教育/医疗/金融(YMYL) 内容时:"
license: "MIT"
---
## ⚠️ 2C 产品的写作调整
本 skill 默认 dev/B2B 读者。写 **2C 教育/医疗/金融(YMYL)** 内容时:
- **E-E-A-T 加重**:需可验证作者/审核资质 + 方法论透明页,不能只靠"团队"署名(Google:Trust 是 E-E-A-T 核心)。
- **选题双轨**:红利词(政策/改革/新版)+ 长尾高转化词(题型/场景/分数级)。
- **Key Stats 表格的数字必须有权威来源、前后一致**——YMYL 品类不可编造,否则排名修复极难。
- **分发渠道换成 2C 社区/短视频**(小红书/Reddit/TikTok/Naver 카페),而非 dev blog。
完整 2C 渠道数据库 + 公开来源见 → `gingiris-seo-geo/references/2c-adaptation.md`
---
# gr-blog-post — Jekyll 博客发布
## 产出的文章必须符合
### Iris 文风 5 要素(详见 `references/writing-voice-iris.md`)
1. **时间锚定开场** —— 不说"SEO 很重要",说"2026-04-10,凌晨 3 点,后台流量归零"
2. **括号旁白** —— 正文一句,括号里挤私货("...—— 别问怎么知道的")
3. **em-dash 转折** —— 不用"但是",用 `——`
4. **Key Stats 表格** —— 文章开头或 H2 下第一屏放一个硬数据表,3-5 行
5. **GEO 直接答案段落** —— 文章顶部一段 30-50 字直接回答主问题,方便 AI 爬虫抽取
### 技术 frontmatter 模板
```yaml
---
layout: post
title: "主关键词前置,副标题用冒号:不超过 60 字"
date: 2026-04-15 14:30:00 +0800
categories: [seo, growth]
tags: [...]
canonical_url: https://gingiris.tools/blog/2026/04/15/slug/
hreflang_ja: /blog/2026/04/15/slug-ja/
hreflang_ko: /blog/2026/04/15/slug-ko/
post_description: "150-160 字 meta description,含主关键词"
faq:
- q: "直接问句"
a: "30-50 字硬答案"
---
```
---
## 发布流程
### 1. 选题
- 读 `gr-seo-patrol` 输出,找"top 30 但没 top 10"的关键词
- 或读 `gr-competitor`,找对手新打法
- ❌ 不做重复主题(先 `site:` 查站内是否已有)
### 2. 写初稿
- 时间锚定开场(当前日期 + 具体场景)
- 第一屏:GEO 直接答案段(30-50 字)+ Key Stats 表(硬数据)
- H2 结构:问题 → 框架 → 案例 → 陷阱 → 下一步
- 每个 H2 下 200-400 字,不超过 600 字
### 3. 内链
- 向前:链接 2-3 篇已发布的同主题文章(用主关键词作 anchor)
- 向后:站内 index / hub 页
- 权重传导:从流量最大的 3 篇文章加内链到新文
### 4. FAQ Schema
- 3-5 个问答
- 问句必须是用户真实搜索句(从 GSC / People also ask 抓)
- 答案硬、短、可引用
### 5. Canonical 策略
- **默认 self-canonical**
- 如果是同主题系列的分篇 → canonical 指向 master
- ja/ko 翻译版 → 自身 canonical + hreflang 互指
### 6. 多语言同步
- 用 `scripts/sync-i18n.py`(roadmap)从英文自动产日韩草稿
- 人工过一遍(机翻硬伤 + 文化适配)
- 日韩版本独立 slug,不复用英文 slug
### 7. 发布(可执行清单)
**目标 repo**:`Gingiris-1031/growth-tools`(真站 gingiris.tools,Vercel 部署 `origin/main`,写入后 ~50-90s 自动构建)
**⚠️ 前置:先过 Gingiris-1031 GitHub 安全规则**(memory `gingiris_1031_safety_rules.md`,P0):
- [ ] 提交身份 = `Iris Wei <iris.wei@gingiris.com>`(不是机器名/本机 hostname)
- [ ] **单行 commit message**:`post: {slug} ({lang})`——无 Claude trailer、无多段正文
- [ ] 不 burst:能合并就合并成 1 个 commit;>10 commits/小时 = 停下重排
**发布 = GitHub Contents API PUT**(不要本地 `git push`):
```bash
# token 只从 secrets.env 读,绝不内联/硬编码进脚本或 SKILL.md
source ~/.config/gingiris/secrets.env # 提供 GITHUB_PAT
SLUG="your-post-slug"; LANG="en"
FILE="_posts/$(date +%F)-${SLUG}.md"
curl -s -X PUT \
-H "Authorization: Bearer $GITHUB_PAT" \
-H "Accept: application/vnd.github+json" \
"https://api.github.com/repos/Gingiris-1031/growth-tools/contents/${FILE}" \
-d "{\"message\":\"post: ${SLUG} (${LANG})\",
\"content\":\"$(base64 < draft.md | tr -d '\n')\",
\"committer\":{\"name\":\"Iris Wei\",\"email\":\"iris.wei@gingiris.com\"}}"
```
> 更新已存在的文件:先 `GET .../contents/{path}` 拿 `sha`,把 `"sha":"..."` 加进 PUT body。
**发布后验证(按顺序全过才算发完)**:
1. [ ] 等 Vercel 部署完成(~50-90s;可 `curl -sI https://gingiris.tools/` 确认站点存活)
2. [ ] `curl -sI https://gingiris.tools/blog/{yyyy}/{mm}/{dd}/{slug}/` → **HTTP 200**(404 = permalink/date/`future: true` 配错,先修再往下)
3. [ ] GSC 手动 Request Indexing(URL 检查 → 请求编入索引;新域抓取慢,这步不能省)
4. [ ] IndexNow 推送到 Bing(大模型 discover 主要走 Bing 索引,见 `gr-geo-cite`)
### hreflang 验收 checklist(发 ja/ko 版或补翻译时必做)
> 背景:i18n 基线曾有多处 hreflang bug(KO self-loop、JA→EN 指 `/en/` 首页弱链、EN 缺 alternate),后果是日韩索引长期 0(memory `i18n_baseline.md`)。全站修复 commit b667208 后抽检全绿——**新文章不要把 bug 加回来**。
- [ ] EN/JA/KO frontmatter 互指:`hreflang_ja` / `hreflang_ko` / `hreflang_en` 指向**具体对端文章**(绝不指 `/en/` 首页)
- [ ] 每页 emit 自指 hreflang(ko 页必须有 `hreflang="ko"` 指自己,不能出现指自己的 `hreflang="ja"`)
- [ ] `x-default` 存在且指 EN 版
- [ ] 每页 self-canonical(ja/ko 不 canonical 到 EN;带尾斜杠,和 sitemap 一致)
- [ ] 发布后 curl 抽验:
```bash
for u in "$EN_URL" "$JA_URL" "$KO_URL"; do
echo "== $u"
curl -s "$u" | grep -oE '<link rel="(alternate|canonical)"[^>]*>'
done
# 验收:每页 hreflang 完整(self + 对端 + x-default)且三页双向回链成对,canonical 自指
```
### 8. 发布后 24h
- 加入 `gr-seo-patrol` 监控名单
- 社交平台分发(推特 / LinkedIn / dev.to,走 `gr-social-distill`)
---
## dev.to 二发规则(⚠️ canonical 红线)
- ✅ **dev.to 文章 canonical_url 必须指向 dev.to 自身**(self-canonical),绝不指向 gingiris.tools
- 正确:`canonical_url: https://dev.to/iris1031/article-slug-xxxx`
- 错误:`canonical_url: https://gingiris.tools/blog/...`(会让 dev.to 文章被 Google 视为副本,不参与 SERP)
- ✅ **发布时间差 ≥7 天**(不要和 gingiris.tools 同天发)
- ✅ 末尾加 "Originally published at gingiris.tools" 建立双向 reference
- ❌ **不要从 Jekyll frontmatter 直接复制 canonical_url 到 dev.to**,那个是 gingiris.tools 的地址
## 反模式
- ❌ 不要用 AI 味重的模板("In today's digital landscape...")—— 发布前跑 `skills/gr-geo-cite/scripts/citability-scorer.py`,页面分 ≥ 75 才算过
- ❌ 不要 H1 堆关键词
- ❌ 不要忘记 hreflang —— 已发布的旧文补翻译时要回改原文 frontmatter
- ❌ 不要同一关键词发 3 篇 —— cannibalization 立刻找上门
- ❌ **dev.to canonical 指向 gingiris.tools** —— 死链或副本问题,永远 self-canonical
---
## 级联推荐
- 写完 → `gr-seo-patrol` 加监控
- 发现是系列稿 → `gr-blog-post` 继续产第 2 篇并设 canonical
- 英文发完 24h → 手动触发日韩翻译
---
## API 依赖
| Service | Env var | 来源 |
|---|---|---|
| GitHub PAT | `GITHUB_PAT` | `~/.config/gingiris/secrets.env`(source 后使用,不内联) |
| DeepSeek / Teamo(翻译) | `DEEPSEEK_API_KEY` / `TEAMOROUTER_API_KEY` | 同上 |
---
## Citability-by-Design Spec (mandatory for NEW articles, 2026-05-18+)
**Rationale**: Verified 2026-05-07 that retrofitting old articles hits a ~65-68/100 citability ceiling no matter what (booster passages, surgical rewrites, splitting all produce diminishing returns). **Writing new articles from this spec produces 75-85 baseline directly.** Spec saves ~3 hours of post-hoc citability fixing per article.
### Per-section structural requirements
Every H2/H3 section must satisfy ALL of:
1. **Word count: 134-167** (the AI-extraction sweet spot validated by zubair-trabzada/geo-seo-claude scoring)
- Under 134 → self_containment drops below 10/25
- Over 167 → same penalty for being too long for AI chunks
- Use a word counter as you draft
2. **Opening sentence = definition pattern**, one of:
- `[Thing] is [definition]`
- `[Thing] refers to [scope]`
- `[Thing] means [unpacking]`
- `In other words, [Thing] is...`
- `[Thing] can be defined as...`
3. **Section contains at least ONE of each**:
- ✅ Original research signal: "Our X-launch dataset", "We tracked", "Our 2026 audit measured", "Our analysis of N samples"
- ✅ Specific number with unit: "60K stars", "30 launches", "$79/mo", "67%"
- ✅ Specific named product/tool: "Taplio ($39/mo)", "Surfe", "PH Deck", "Loom" — by name not "[the tool]"
### Heading conventions
- H1 = page title (≤ 70 chars after title-suffix fix from 2026-05-07)
- H2 should be **question form** ~40% of the time:
- ✅ "How do I get cited by Perplexity in 2026?"
- ✅ "What is the GEO three-piece set?"
- ❌ "Perplexity citation strategy"
- Each H2 should contain primary keyword **or** clear question intent
### Article-level requirements
- 5-12 H2 sections (sweet spot: 7-8)
- TL;DR or "Citable Statistics" block IN FIRST H2 (becomes top-scored passage)
- FAQ Schema JSON-LD at end (5+ Q&A using exact User-Search-Form questions)
- `last_modified_at:` frontmatter (flows through to dateModified schema)
- canonical_url self-reference
- hreflang_ja / hreflang_ko if multilingual variants exist
### Citability self-check before publishing
Run **before** committing the article:
```bash
# 兼容两种安装位置:优先 monorepo 相对路径,fallback 本机安装
SCORER="skills/gr-geo-cite/scripts/citability-scorer.py"
[ -f "$SCORER" ] || SCORER="$HOME/.claude/skills/gr-geo-cite/scripts/citability-scorer.py"
python3 "$SCORER" --file /local/path/to/draft.html
```
Target: page score ≥ 75. If under 70, revise top 2 weakest passages.
### Anti-patterns (avoid)
- ❌ Long expository paragraphs (200+ words) — split into 2 sections at 134-167 each
- ❌ Generic transitions ("Now let's discuss...") — replace with definition pattern
- ❌ Marketing fluff ("the best way to") — replace with measured claims with data
- ❌ "[Tool name]" placeholders — always cite the specific tool by name + price
- ❌ Bullet lists with single words — combine into prose with definition + example pattern
### Real-data benchmark
Articles from 2026-05-07 audit (without this spec):
| Article (old, retrofit) | Score | Pattern |
|---|---|---|
| PH playbook master | 65 | Top passage 74, dragged by 62s |
| Social listening | 68 | Best of the 5 (early Citable Stats) |
| Community directory | 62 | Lifted from 54 via booster (+12% from 0 to 1 sweet-spot passage) |
Predicted from spec (NEW articles):
| Spec compliance | Predicted score |
|---|---|
| All sections 134-167 + definition pattern + 1 original signal | **78-85** |
| 80% sections compliant, 20% legacy structure | 72-77 |
| 50% compliant | 65-70 (same as retrofit ceiling) |
The marginal value of strict compliance is **~10 points** vs partial compliance.More General & Other skills
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