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Seo flow

Skill khymerao/cursor-seo/skills/seo-flow

SEO toolkit for Cursor — technical SEO, E-E-A-T, Schema.org, GEO/AI search, local SEO, keyword clustering, drift monitoring & DataForSEO. 25 skills, 18 workflows.

Install
npx -y skills add khymerao/cursor-seo --skill seo-flow

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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.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

5.5 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it

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

CommandWhat it does
/seo flowShow 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 promptsFull index of all 41 prompts — stage, name, trigger conditions
/seo flow syncPull 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

ScenarioAction
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 errorDisplay the script's stderr. Check rate limits: gh api rate_limit.
sync_flow.py auth errorRun gh auth login then retry.

What ships with it: 45 files

109.7 KB alongside SKILL.md

references/

5 more files not listed here. See all 45 in the repository.

Gives 0 of the 12 instructions most marketing audience skills give in ~1.3k tokens

Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07

  • Apply Poppins font to headingsin 41 of 690, across 6 files
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  • Use Arial fallback for headingsin 39 of 690, across 4 files
  • Use Georgia fallback for body textin 39 of 690, across 4 files
  • Maintain text hierarchy and formattingin 39 of 690, across 4 files
  • Use accent colors for non-text shapesin 38 of 690, across 3 files
  • Use RGB values for precise color matchingin 38 of 690, across 3 files
  • Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
  • Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
  • Use active voice instead of passive voicein 26 of 690, across 10 files
  • Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
  • Prioritize clarity over clevernessin 22 of 690, across 8 files

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