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seo-flow
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 optim
概览
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.
展开完整说明
以下为来源文档,不是本网站的操作指令。执行命令前请先核实权限。
FLOW Framework: Find · Leverage · Optimize · Win
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.
Framework and prompts © Daniel Agrici, CC BY 4.0: github.com/AgriciDaniel/flow
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)
- Read
references/flow-framework.md - Show the FLOW stage overview with a one-line description of each stage
- Ask: which stage matches the user's current situation?
On /seo flow find [url|topic]
- Read all files in
references/prompts/find/ - Apply each prompt to the URL or topic
- Cross-reference: "For deeper SERP clustering, see
/seo cluster <seed-keyword>"
On /seo flow leverage [url]
- Read the file in
references/prompts/leverage/ - Apply to the URL's current backlink context
- Cross-reference: "For raw backlink data, see
/seo backlinks <url>"
On /seo flow optimize [url]
- Read all file names in
references/prompts/optimize/ - Read prior analysis context (URL, industry vertical, any prior skill output in conversation)
- Select 2-3 most relevant prompts; load only those files
- Apply selected prompts; note the others are accessible via
/seo flow prompts - Cross-reference: "For full content quality analysis, see
/seo content <url>and/seo geo <url>"
On /seo flow win [url]
- Read all files in
references/prompts/win/ - Apply each prompt to the URL's conversion and BOFU context
- Cross-reference: "For SXO persona scoring, see
/seo sxo <url>"
On /seo flow local [url]
- Read all files in
references/prompts/local/ - Apply to the URL's local SEO context
- Cross-reference: "For full local SEO analysis, see
/seo local <url>and/seo maps [command]"
On /seo flow prompts
- Read
references/prompts/README.md - Display the full index: all 41 prompts with stage, name, trigger conditions
On /seo flow sync
- Run:
claude-seo run sync_flow.py - Display the JSON summary (files added, updated, unchanged)
- Show attribution notice after sync completes
Context Matching (Optimize stage)
The optimize stage has 21 prompts. Dumping all 21 is noise. Select by priority:
- Industry vertical (SaaS → on-page + technical; local → citations + GBP; publisher → E-E-A-T + freshness)
- Prior skill output (seo-technical flagged crawl issues → technical optimize prompts; seo-content flagged E-E-A-T gaps → content optimize prompts)
- 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 flowactivation)references/bibliography.md: Evidence sources; load when citing studies or statisticsreferences/prompts/README.md: Prompt index; load for/seo flow promptsreferences/prompts/find/: 5 prompts; load for/seo flow findreferences/prompts/leverage/: 1 prompt; load for/seo flow leveragereferences/prompts/optimize/: 21 prompts; load selectively for/seo flow optimizereferences/prompts/win/: 3 prompts; load for/seo flow winreferences/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. |
文件元数据
name: seo-flow description: > 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. user-invocable: true argument-hint: "[stage] [url|topic]" license: MIT metadata: author: AgriciDaniel version: "2.2.5" category: seo
查看原始文本
--- name: seo-flow description: > 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. user-invocable: true argument-hint: "[stage] [url|topic]" license: MIT metadata: author: AgriciDaniel version: "2.2.5" category: seo --- # FLOW Framework: Find · Leverage · Optimize · Win 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. > Framework and prompts © Daniel Agrici, CC BY 4.0: github.com/AgriciDaniel/flow **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: `claude-seo run 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. |
查看并核实来源
获取价格与运行成本
- 获取 Skill
- 价格未确认
- 运行 Skill
- 尚未确认运行要求,请查看来源中的 Agent、API 和服务费用。
- 许可证
- MIT
- 价格未确认
- 我们尚未确认此 Skill 的价格,现有来源与安装入口仍可使用。
免费获取不代表免费运行,价格标签不代表安全评级。 提交价格信息 →
已记录技能来源
已记录技能指令路径,不代表本站运行测试、安全保证或兼容性认证。
安装前审查: 避免自动安装
许可证: MIT
- Permission surface may require sandboxing
- The skill references a sync script (`claude-seo run sync_flow.py`) that is not included in the provided files; ensure it exists in the repository or document its absence.
- No explicit setup or dependency instructions are provided in SKILL.md, though the skill is self-contained as a prompt library.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Permission surface: secrets or environment access, shell or command execution
工具列表来自元数据,并非已测试的兼容性;Agent 提示词是建议的交接方式。
从一个小任务开始
- 1阅读来源,确认输入、预期输出、依赖和权限。
- 2先让 Agent 提出计划,批准环境配置和费用,再进行隔离的小规模测试。
- 3检查输出和变更文件,只报告实际执行结果,并保留来源版本以便复现。
请在来源中核实依赖、API 密钥及第三方费用。公开仓库不代表所有服务免费。
来源与使用须知
仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。
- 来源仓库
- AgriciDaniel/claude-seo
- 许可证
- MIT
- 版本
- 1.0.0
- 最近 GitHub 推送
- 2026年8月26日
- 目录更新于
- 2026年9月1日
版本来自目录元数据,使用前请核实来源发布记录。
质量
86/100
优秀
信任
65/100
仅限沙盒
审计
81/100
需审查
- Permission surface may require sandboxing
- The skill references a sync script (`claude-seo run sync_flow.py`) that is not included in the provided files; ensure it exists in the repository or document its absence.
- No explicit setup or dependency instructions are provided in SKILL.md, though the skill is self-contained as a prompt library.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Permission surface: secrets or environment access, shell or command execution
- Verified installs
- —
- 结果
- —
复制不等于安装。安装数需有成功安装回报,不代表全面的质量保证。
Agent 接入
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
更多详情
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"No explicit setup or dependency instructions are provided in SKILL.md, though the skill is self-contained as a prompt library.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution"
],
"agent_contract": {
"task_input": "Use seo-flow in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 73/100 Strong shortlist",
"Audit: 81/100 Needs review",
"Safety: 41/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "agricidaniel-seo-flow (seo-flow)",
"install_command": "npx skills add AgriciDaniel/claude-seo --skill seo-flow",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "agricidaniel-seo-flow",
"task": "Use seo-flow in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/agricidaniel-seo-flow",
"api": "https://www.openagentskill.com/api/agent/skills/agricidaniel-seo-flow",
"audit": "https://www.openagentskill.com/skills/agricidaniel-seo-flow/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=agricidaniel-seo-flow&task=Use%20seo-flow%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20seo-flow%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20seo-flow%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/agricidaniel-seo-flow/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/agricidaniel-seo-flow"
}
}创作者工具
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 创作者
- AgriciDaniel
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
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认领此 Skill 页面
这条 Registry 收录 列表归属于 AgriciDaniel,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
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[](https://www.openagentskill.com/skills/agricidaniel-seo-flow?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/agricidaniel-seo-flow?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/agricidaniel-seo-flow/audit)
[](https://www.openagentskill.com/skills/agricidaniel-seo-flow?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)社区信号
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