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Seo Flow

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AgriciDaniel
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 optimize win", or wants stage-specific SEO prompts.

Overview

PublisherAgriciDaniel
Repositoryclaude-seo
Skill nameseo-flow
Stars
17.1K
Forks
2.5K
Bundled files
44
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 44 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by AgriciDaniel on GitHub. Read the source before you install it.

Installation

Install the Seo Flow AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git /tmp/claude-seo
mkdir -p .claude/skills
cp -r /tmp/claude-seo/skills/seo-flow .claude/skills/seo-flow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Flow in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Seo Flow on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Seo Flow is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

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: "${CLAUDE_PLUGIN_ROOT}/scripts/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

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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Seo Flow AI skill do?

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.

Why use Seo Flow on TypingMind?

Because you install it once and use it with any model. Seo Flow is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Seo Flow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-flow. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Seo Flow?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Seo Flow?

As many as you like. As long as a model supports skills, you can use Seo Flow with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Seo Flow AI skill free?

Yes. It is published on GitHub by AgriciDaniel under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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