seo-image-gen
AI image generation for SEO assets: OG/social preview images, blog hero images, schema…
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
$ npx -y skills add agricidaniel/codex-seo --skill seo-flow --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/seo-flowContext preview
The summary Claude sees to decide when to auto-load this skill.
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
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-invokable: true argument-hint: "[stage] [url|topic]" license: MIT metadata: author: AgriciDaniel version: "1.9.6" category: seo
**Step 0 -- Check shared data cache:**
Before gathering, check `.seo-cache/` for reusable context from related SEO skills. Reference: `../seo/references/shared-data-cache.md` for schemas and dependency map.
Check these cache files when present:
> 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. Codex 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.
---
| 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 |
---
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?
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>`"
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>`"
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>`"
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>`"
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]`"
1. Read `references/prompts/README.md` 2. Display the full index: all 41 prompts with stage, name, trigger conditions
1. Run: `python scripts/sync_flow.py` 2. Display the JSON summary (files added, updated, unchanged) 3. Show attribution notice after sync completes
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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.
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Load on-demand — do NOT load all at startup:
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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.
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| Scenario | Action | |----------|--------| | `
Codex-first SEO analysis suite with 1 orchestrator skill, 26 specialist workflows, 24 TOML agent profiles, MCP/API extensions, deterministic headless runners, and premium audit report generation.
Repo: agricidaniel/codex-seo
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