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Agentkit Seo

CommunityPopular
rohitg00
agentkit-seo

Route broad or ambiguous AgentKit SEO work to the right module while keeping context scoped. Use when a request spans multiple surfaces, asks for overall digital-presence strategy, involves provider or install architecture, needs agent-context planning, or the correct platform skill is unclear.

Overview

Publisherrohitg00
Repositoryawesome-claude-code-toolkit
Skill nameagentkit-seo
Stars
2.6K
Forks
963
Bundled files
Instructions only
LicenseApache-2.0
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by rohitg00 on GitHub. Read the source before you install it.

Installation

Install the Agentkit Seo 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/rohitg00/awesome-claude-code-toolkit.git /tmp/awesome-claude-code-toolkit
mkdir -p .claude/skills
cp -r /tmp/awesome-claude-code-toolkit/skills/agentkit-seo .claude/skills/agentkit-seo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agentkit Seo 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 Agentkit Seo 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 Agentkit Seo 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.

AgentKit SEO

Overview

Use this skill as the orchestrator for the whole repository. Its main job is to select the right module skill, avoid loading irrelevant platform rules, and sequence cross-platform work in a sane order.

Routing workflow

  1. Identify the target surface from the request.
  2. Load only the matching module skill unless the user explicitly asks for a cross-platform pass.
  3. If the request spans multiple surfaces, start with agentkit-seo-agent-context-optimization so the factual source of truth is stable before editing platform outputs.
  4. If the request involves technical issues with the skill system, consult the main repository documentation.

For broad requests with no clear surface:

  • Active applications or job-description tailoring: route to agentkit-seo-cv-ats.
  • Recruiter discovery or profile search: route to agentkit-seo-linkedin.
  • Proof-of-work, repositories, or developer credibility: route to agentkit-seo-github or agentkit-seo-web-portfolio, based on the supplied asset.
  • Audience building, posting strategy, or public conversation loops: route to agentkit-seo-x-twitter.
  • Conflicting, scattered, or cross-platform facts: route to agentkit-seo-agent-context-optimization first.

Token discipline

  • Route to one module by default.
  • Load the agent context file before platform references only when facts, consistency, or cross-surface rewriting matter.
  • Prefer public URL inspection, local search, or a compact pasted section over asking the user to dump every asset into the prompt.
  • Summarize inspected inputs and ask for the smallest missing input set.
  • Do not expand into algorithm explanation unless the user asks why.

Intake workflow

  • If the user already has an agent context file, ask for or use its explicit path before rewriting platform assets.
  • If the task spans multiple surfaces, or the user's facts are scattered, recommend creating or repairing the agent context file first.
  • Do not block a narrow one-off edit on a full context file when the supplied material is already enough.
  • For public URLs, fetch or inspect public material when tools allow it and cite which source was used.
  • For private or login-gated surfaces, ask the user for pasted section text, screenshots, exports, or a local text file instead of guessing.
  • If critical facts are missing, ask only for the minimum extra inputs needed to proceed.

Module map

  • LinkedIn work: agentkit-seo-linkedin
  • GitHub work: agentkit-seo-github
  • CV or ATS work: agentkit-seo-cv-ats
  • Web portfolio work: agentkit-seo-web-portfolio
  • X or Twitter work: agentkit-seo-x-twitter
  • Personal source-of-truth context work: agentkit-seo-agent-context-optimization

More Information

Frequently asked questions

What does the Agentkit Seo AI skill do?

Route broad or ambiguous AgentKit SEO work to the right module while keeping context scoped. Use when a request spans multiple surfaces, asks for overall digital-presence strategy, involves provider or install architecture, needs agent-context planning, or the correct platform skill is unclear.

Why use Agentkit Seo on TypingMind?

Because you install it once and use it with any model. Agentkit Seo 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 Agentkit Seo in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/awesome-claude-code-toolkit/tree/main/skills/agentkit-seo. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agentkit Seo?

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 Agentkit Seo?

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

Is the Agentkit Seo AI skill free?

Yes. It is published on GitHub by rohitg00 under the Apache-2.0 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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