[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6C2KYEHWXF2KSK2C5E8RRS3":3,"skill-same:01M6C2KYEHWXF2KSK2C5E8RRS3":248},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":28,"publishedAt":51,"linkOnly":52,"markdownContent":53,"markdownBody":54,"frontMatter":55,"refName":62,"commitSha":63,"skillDirectory":64,"forksCount":14,"repositoryHtmlUrl":65,"repositoryHomepageUrl":6,"ownerHtmlUrl":66,"ownerBlogUrl":6,"ownerDescription":67,"updatedAt":68,"install":69,"resources":81},"01M6C2KYEHWXF2KSK2C5E8RRS3","seo-flow",null,"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.","noirelab\u002Flinux-setup","noirelab","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142925921?v=4","01M6C29R3FEDGFAXAT0KXY28QX","Kaíque M. Lima","01M6C29R811WX04B0GYHTH1XV6",0,"MIT","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-flow\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000019","营销推广","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000035","市场营销","PROFESSION","适用职业",[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],"flow","seo","seo flow","prompts","when","true","URL","leverage","stage","knowledge base","base","optimize","cc","surfaces","framework","evidence","use","user","find","loop","knowledge","integration","2026-11-10 10:12:30",false,"---\nname: seo-flow\ndescription: >\n  FLOW framework integration: evidence-led SEO using the Find → Leverage →\n  Optimize → Win loop. Surfaces stage-specific AI prompts from the FLOW\n  knowledge base (41 prompts, CC BY 4.0). Use when user says \"FLOW\", \"FLOW\n  framework\", \"seo flow\", \"evidence-led SEO\", \"find leverage optimize win\",\n  or wants stage-specific SEO prompts.\nuser-invocable: true\nargument-hint: \"[stage] [url|topic]\"\nlicense: MIT\nmetadata:\n  author: AgriciDaniel\n  version: \"2.2.4\"\n  category: seo\n---\n\n# FLOW Framework: Find · Leverage · Optimize · Win\n\nFLOW is an evidence-led SEO operating model built for the AI-search era. Claude SEO\nintegrates the FLOW prompt library (41 prompts across 5 stages) so every analysis can\nbe driven by structured, evidence-backed AI prompts rather than improvised queries.\n\n> Framework and prompts © Daniel Agrici, CC BY 4.0: github.com\u002FAgriciDaniel\u002Fflow\n\n**Runtime context:** Load `references\u002Fflow-framework.md` on every `\u002Fseo flow` activation.\nLoad prompt files on demand, only for the stage the user requests.\n\n---\n\n## Commands\n\n| Command | What it does |\n|---------|-------------|\n| `\u002Fseo flow` | Show FLOW overview + stage menu |\n| `\u002Fseo flow find [url\\|topic]` | Find-stage: keyword research, gap analysis, SERP intent mapping (5 prompts) |\n| `\u002Fseo flow leverage [url]` | Leverage-stage: backlink strategy, off-site authority (1 prompt) |\n| `\u002Fseo flow optimize [url]` | Optimize-stage: select 2-3 most relevant of 21 prompts based on context |\n| `\u002Fseo flow win [url]` | Win-stage: BOFU, conversion rate, dual-surface scorecard (3 prompts) |\n| `\u002Fseo flow local [url]` | Local-stage: GBP optimization, meta, title tags, local audits (11 prompts) |\n| `\u002Fseo flow prompts` | Full index of all 41 prompts (stage, name, trigger conditions) |\n| `\u002Fseo flow sync` | Pull latest prompt files from github.com\u002FAgriciDaniel\u002Fflow |\n\n---\n\n## Orchestration Logic\n\n### On `\u002Fseo flow` (no sub-command)\n1. Read `references\u002Fflow-framework.md`\n2. Show the FLOW stage overview with a one-line description of each stage\n3. Ask: which stage matches the user's current situation?\n\n### On `\u002Fseo flow find [url|topic]`\n1. Read all files in `references\u002Fprompts\u002Ffind\u002F`\n2. Apply each prompt to the URL or topic\n3. Cross-reference: \"For deeper SERP clustering, see `\u002Fseo cluster \u003Cseed-keyword>`\"\n\n### On `\u002Fseo flow leverage [url]`\n1. Read the file in `references\u002Fprompts\u002Fleverage\u002F`\n2. Apply to the URL's current backlink context\n3. Cross-reference: \"For raw backlink data, see `\u002Fseo backlinks \u003Curl>`\"\n\n### On `\u002Fseo flow optimize [url]`\n1. Read all file names in `references\u002Fprompts\u002Foptimize\u002F`\n2. Read prior analysis context (URL, industry vertical, any prior skill output in conversation)\n3. Select 2-3 most relevant prompts; load only those files\n4. Apply selected prompts; note the others are accessible via `\u002Fseo flow prompts`\n5. Cross-reference: \"For full content quality analysis, see `\u002Fseo content \u003Curl>` and `\u002Fseo geo \u003Curl>`\"\n\n### On `\u002Fseo flow win [url]`\n1. Read all files in `references\u002Fprompts\u002Fwin\u002F`\n2. Apply each prompt to the URL's conversion and BOFU context\n3. Cross-reference: \"For SXO persona scoring, see `\u002Fseo sxo \u003Curl>`\"\n\n### On `\u002Fseo flow local [url]`\n1. Read all files in `references\u002Fprompts\u002Flocal\u002F`\n2. Apply to the URL's local SEO context\n3. Cross-reference: \"For full local SEO analysis, see `\u002Fseo local \u003Curl>` and `\u002Fseo maps [command]`\"\n\n### On `\u002Fseo flow prompts`\n1. Read `references\u002Fprompts\u002FREADME.md`\n2. Display the full index: all 41 prompts with stage, name, trigger conditions\n\n### On `\u002Fseo flow sync`\n1. Run: `\u002Fhome\u002Fnoirelab\u002F.config\u002Fopencode\u002Fskills\u002Fseo\u002Fbin\u002Fclaude-seo run sync_flow.py`\n2. Display the JSON summary (files added, updated, unchanged)\n3. Show attribution notice after sync completes\n\n---\n\n## Context Matching (Optimize stage)\n\nThe optimize stage has 21 prompts. Dumping all 21 is noise. Select by priority:\n\n1. **Industry vertical** (SaaS → on-page + technical; local → citations + GBP; publisher → E-E-A-T + freshness)\n2. **Prior skill output** (seo-technical flagged crawl issues → technical optimize prompts; seo-content flagged E-E-A-T gaps → content optimize prompts)\n3. **URL signals** (product pages → conversion; blog → freshness + authority)\n\nAlways surface exactly 2-3 prompts. State which prompts you chose and why.\n\n---\n\n## Reference Files\n\nLoad on-demand, do NOT load all at startup:\n- `references\u002Fflow-framework.md`: FLOW operating model (load on every `\u002Fseo flow` activation)\n- `references\u002Fbibliography.md`: Evidence sources; load when citing studies or statistics\n- `references\u002Fprompts\u002FREADME.md`: Prompt index; load for `\u002Fseo flow prompts`\n- `references\u002Fprompts\u002Ffind\u002F`: 5 prompts; load for `\u002Fseo flow find`\n- `references\u002Fprompts\u002Fleverage\u002F`: 1 prompt; load for `\u002Fseo flow leverage`\n- `references\u002Fprompts\u002Foptimize\u002F`: 21 prompts; load selectively for `\u002Fseo flow optimize`\n- `references\u002Fprompts\u002Fwin\u002F`: 3 prompts; load for `\u002Fseo flow win`\n- `references\u002Fprompts\u002Flocal\u002F`: 11 prompts; load for `\u002Fseo flow local`\n\n---\n\n## Attribution\n\nEvery `\u002Fseo flow` activation (any sub-command) outputs before analysis:\n\n```\nFramework and prompts © Daniel Agrici, CC BY 4.0: github.com\u002FAgriciDaniel\u002Fflow\n```\n\nDo not omit or modify the attribution.\n\n---\n\n## Error Handling\n\n| Scenario | Action |\n|----------|--------|\n| `references\u002Fflow-framework.md` missing | \"FLOW reference files not synced. Run: `\u002Fseo flow sync`\" |\n| Prompt file missing | \"Run `\u002Fseo flow sync` to pull the latest prompts from the FLOW repo.\" |\n| `sync_flow.py` network error | Display the script's stderr. Check rate limits: `gh api rate_limit`. |\n| `sync_flow.py` auth error | Run `gh auth login` then retry. |\n","# FLOW Framework: Find · Leverage · Optimize · Win\n\nFLOW is an evidence-led SEO operating model built for the AI-search era. Claude SEO\nintegrates the FLOW prompt library (41 prompts across 5 stages) so every analysis can\nbe driven by structured, evidence-backed AI prompts rather than improvised queries.\n\n> Framework and prompts © Daniel Agrici, CC BY 4.0: github.com\u002FAgriciDaniel\u002Fflow\n\n**Runtime context:** Load `references\u002Fflow-framework.md` on every `\u002Fseo flow` activation.\nLoad prompt files on demand, only for the stage the user requests.\n\n---\n\n## Commands\n\n| Command | What it does |\n|---------|-------------|\n| `\u002Fseo flow` | Show FLOW overview + stage menu |\n| `\u002Fseo flow find [url\\|topic]` | Find-stage: keyword research, gap analysis, SERP intent mapping (5 prompts) |\n| `\u002Fseo flow leverage [url]` | Leverage-stage: backlink strategy, off-site authority (1 prompt) |\n| `\u002Fseo flow optimize [url]` | Optimize-stage: select 2-3 most relevant of 21 prompts based on context |\n| `\u002Fseo flow win [url]` | Win-stage: BOFU, conversion rate, dual-surface scorecard (3 prompts) |\n| `\u002Fseo flow local [url]` | Local-stage: GBP optimization, meta, title tags, local audits (11 prompts) |\n| `\u002Fseo flow prompts` | Full index of all 41 prompts (stage, name, trigger conditions) |\n| `\u002Fseo flow sync` | Pull latest prompt files from github.com\u002FAgriciDaniel\u002Fflow |\n\n---\n\n## Orchestration Logic\n\n### On `\u002Fseo flow` (no sub-command)\n1. Read `references\u002Fflow-framework.md`\n2. Show the FLOW stage overview with a one-line description of each stage\n3. Ask: which stage matches the user's current situation?\n\n### On `\u002Fseo flow find [url|topic]`\n1. Read all files in `references\u002Fprompts\u002Ffind\u002F`\n2. Apply each prompt to the URL or topic\n3. Cross-reference: \"For deeper SERP clustering, see `\u002Fseo cluster \u003Cseed-keyword>`\"\n\n### On `\u002Fseo flow leverage [url]`\n1. Read the file in `references\u002Fprompts\u002Fleverage\u002F`\n2. Apply to the URL's current backlink context\n3. Cross-reference: \"For raw backlink data, see `\u002Fseo backlinks \u003Curl>`\"\n\n### On `\u002Fseo flow optimize [url]`\n1. Read all file names in `references\u002Fprompts\u002Foptimize\u002F`\n2. Read prior analysis context (URL, industry vertical, any prior skill output in conversation)\n3. Select 2-3 most relevant prompts; load only those files\n4. Apply selected prompts; note the others are accessible via `\u002Fseo flow prompts`\n5. Cross-reference: \"For full content quality analysis, see `\u002Fseo content \u003Curl>` and `\u002Fseo geo \u003Curl>`\"\n\n### On `\u002Fseo flow win [url]`\n1. Read all files in `references\u002Fprompts\u002Fwin\u002F`\n2. Apply each prompt to the URL's conversion and BOFU context\n3. Cross-reference: \"For SXO persona scoring, see `\u002Fseo sxo \u003Curl>`\"\n\n### On `\u002Fseo flow local [url]`\n1. Read all files in `references\u002Fprompts\u002Flocal\u002F`\n2. Apply to the URL's local SEO context\n3. Cross-reference: \"For full local SEO analysis, see `\u002Fseo local \u003Curl>` and `\u002Fseo maps [command]`\"\n\n### On `\u002Fseo flow prompts`\n1. Read `references\u002Fprompts\u002FREADME.md`\n2. Display the full index: all 41 prompts with stage, name, trigger conditions\n\n### On `\u002Fseo flow sync`\n1. Run: `\u002Fhome\u002Fnoirelab\u002F.config\u002Fopencode\u002Fskills\u002Fseo\u002Fbin\u002Fclaude-seo run sync_flow.py`\n2. Display the JSON summary (files added, updated, unchanged)\n3. Show attribution notice after sync completes\n\n---\n\n## Context Matching (Optimize stage)\n\nThe optimize stage has 21 prompts. Dumping all 21 is noise. Select by priority:\n\n1. **Industry vertical** (SaaS → on-page + technical; local → citations + GBP; publisher → E-E-A-T + freshness)\n2. **Prior skill output** (seo-technical flagged crawl issues → technical optimize prompts; seo-content flagged E-E-A-T gaps → content optimize prompts)\n3. **URL signals** (product pages → conversion; blog → freshness + authority)\n\nAlways surface exactly 2-3 prompts. State which prompts you chose and why.\n\n---\n\n## Reference Files\n\nLoad on-demand, do NOT load all at startup:\n- `references\u002Fflow-framework.md`: FLOW operating model (load on every `\u002Fseo flow` activation)\n- `references\u002Fbibliography.md`: Evidence sources; load when citing studies or statistics\n- `references\u002Fprompts\u002FREADME.md`: Prompt index; load for `\u002Fseo flow prompts`\n- `references\u002Fprompts\u002Ffind\u002F`: 5 prompts; load for `\u002Fseo flow find`\n- `references\u002Fprompts\u002Fleverage\u002F`: 1 prompt; load for `\u002Fseo flow leverage`\n- `references\u002Fprompts\u002Foptimize\u002F`: 21 prompts; load selectively for `\u002Fseo flow optimize`\n- `references\u002Fprompts\u002Fwin\u002F`: 3 prompts; load for `\u002Fseo flow win`\n- `references\u002Fprompts\u002Flocal\u002F`: 11 prompts; load for `\u002Fseo flow local`\n\n---\n\n## Attribution\n\nEvery `\u002Fseo flow` activation (any sub-command) outputs before analysis:\n\n```\nFramework and prompts © Daniel Agrici, CC BY 4.0: github.com\u002FAgriciDaniel\u002Fflow\n```\n\nDo not omit or modify the attribution.\n\n---\n\n## Error Handling\n\n| Scenario | Action |\n|----------|--------|\n| `references\u002Fflow-framework.md` missing | \"FLOW reference files not synced. Run: `\u002Fseo flow sync`\" |\n| Prompt file missing | \"Run `\u002Fseo flow sync` to pull the latest prompts from the FLOW repo.\" |\n| `sync_flow.py` network error | Display the script's stderr. Check rate limits: `gh api rate_limit`. |\n| `sync_flow.py` auth error | Run `gh auth login` then retry. |\n",{"name":5,"license":15,"metadata":56,"description":59,"argument-hint":60,"user-invocable":61},{"author":57,"version":58,"category":30},"AgriciDaniel","2.2.4","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). 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