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seo-flow

@georgekhananaev · 收录于 1 周前

FLOW framework integration — evidence-led SEO using the Find → Leverage → Optimize → Win loop. Surfaces stage-specific AI prompts from the FLOW knowledge base (41 prompts, CC BY 4.0). Use when user says "FLOW", "FLOW framework", "seo flow", "evidence-led SEO", "find leverage optimize win", or wants stage-specific SEO prompts.

场景seo策略内容优化

适合你，如果正在用FLOW框架做证据驱动的SEO

/ 下载安装
seo-flow.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 georgekhananaev/claude-skills-vault/seo-flow
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- georgekhananaev/claude-skills-vault/seo-flow
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify georgekhananaev/claude-skills-vault/seo-flow
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。
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怎么用

技能原文 SKILL.md作者撰写 · MIT · 3d1c537

FLOW Framework — Find · Leverage · Optimize · Win

Framework and prompts © Daniel Agrici, CC BY 4.0 — github.com/AgriciDaniel/flow

FLOW is an evidence-led SEO operating model built for the AI-search era. Claude SEO integrates the FLOW prompt library (41 prompts across 5 stages) so every analysis can be driven by structured, evidence-backed AI prompts rather than improvised queries.

Runtime context: Load references/flow-framework.md on every /seo flow activation. Load prompt files on demand — only for the stage the user requests.

Commands

| Command | What it does | |---------|-------------| | /seo flow | Show FLOW overview + stage menu | | /seo flow find [url\|topic] | Find-stage: keyword research, gap analysis, SERP intent mapping (5 prompts) | | /seo flow leverage [url] | Leverage-stage: backlink strategy, off-site authority (1 prompt) | | /seo flow optimize [url] | Optimize-stage: select 2-3 most relevant of 21 prompts based on context | | /seo flow win [url] | Win-stage: BOFU, conversion rate, dual-surface scorecard (3 prompts) | | /seo flow local [url] | Local-stage: GBP optimization, meta, title tags, local audits (11 prompts) | | /seo flow prompts | Full index of all 41 prompts — stage, name, trigger conditions | | /seo flow sync | Pull latest prompt files from github.com/AgriciDaniel/flow |

Orchestration Logic
On /seo flow (no sub-command)
  1. Read references/flow-framework.md
  2. Show the FLOW stage overview with a one-line description of each stage
  3. Ask: which stage matches the user's current situation?
On /seo flow find [url|topic]
  1. Read all files in references/prompts/find/
  2. Apply each prompt to the URL or topic
  3. Cross-reference: "For deeper SERP clustering, see /seo cluster <seed-keyword>"
On /seo flow leverage [url]
  1. Read the file in references/prompts/leverage/
  2. Apply to the URL's current backlink context
  3. Cross-reference: "For raw backlink data, see /seo backlinks <url>"
On /seo flow optimize [url]
  1. Read all file names in references/prompts/optimize/
  2. Read prior analysis context (URL, industry vertical, any prior skill output in conversation)
  3. Select 2-3 most relevant prompts; load only those files
  4. Apply selected prompts; note the others are accessible via /seo flow prompts
  5. Cross-reference: "For full content quality analysis, see /seo content <url> and /seo geo <url>"
On /seo flow win [url]
  1. Read all files in references/prompts/win/
  2. Apply each prompt to the URL's conversion and BOFU context
  3. Cross-reference: "For SXO persona scoring, see /seo sxo <url>"
On /seo flow local [url]
  1. Read all files in references/prompts/local/
  2. Apply to the URL's local SEO context
  3. Cross-reference: "For full local SEO analysis, see /seo local <url> and /seo maps [command]"
On /seo flow prompts
  1. Read references/prompts/README.md
  2. Display the full index: all 41 prompts with stage, name, trigger conditions
On /seo flow sync
  1. Run: python scripts/sync_flow.py
  2. Display the JSON summary (files added, updated, unchanged)
  3. Show attribution notice after sync completes
Context Matching (Optimize stage)

The optimize stage has 21 prompts. Dumping all 21 is noise. Select by priority:

  1. Industry vertical (SaaS → on-page + technical; local → citations + GBP; publisher → E-E-A-T + freshness)
  2. Prior skill output (seo-technical flagged crawl issues → technical optimize prompts; seo-content flagged E-E-A-T gaps → content optimize prompts)
  3. URL signals (product pages → conversion; blog → freshness + authority)

Always surface exactly 2-3 prompts. State which prompts you chose and why.

Reference Files

Load on-demand — do NOT load all at startup:

  • references/flow-framework.md — FLOW operating model (load on every /seo flow activation)
  • references/bibliography.md — Evidence sources; load when citing studies or statistics
  • references/prompts/README.md — Prompt index; load for /seo flow prompts
  • references/prompts/find/ — 5 prompts; load for /seo flow find
  • references/prompts/leverage/ — 1 prompt; load for /seo flow leverage
  • references/prompts/optimize/ — 21 prompts; load selectively for /seo flow optimize
  • references/prompts/win/ — 3 prompts; load for /seo flow win
  • references/prompts/local/ — 11 prompts; load for /seo flow local
Attribution

Every /seo flow activation (any sub-command) outputs before analysis:

Framework and prompts © Daniel Agrici, CC BY 4.0 — github.com/AgriciDaniel/flow

Do not omit or modify the attribution.

Error Handling

| Scenario | Action | |----------|--------| | references/flow-framework.md missing | "FLOW reference files not synced. Run: /seo flow sync" | | Prompt file missing | "Run /seo flow sync to pull the latest prompts from the FLOW repo." | | sync_flow.py network error | Display the script's stderr. Check rate limits: gh api rate_limit. | | sync_flow.py auth error | Run gh auth login then retry. |

按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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