Openseo Review Web Content logo

Openseo Review Web Content

OrganizationPopular
every-app
openseo-review-web-content

Write and review content for the OpenSEO website (web/) — blog posts, guides, feature pages, FAQs. Distills the philosophy for on-brand, useful, accurate content. Use whenever adding or editing user-facing prose in web/content or web/src.

Overview

Publisherevery-app
Repositoryopen-seo
Skill nameopenseo-review-web-content
Stars
22K
Forks
2.8K
Bundled files
Instructions only
LicenseMIT
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 every-app on GitHub. Read the source before you install it.

Installation

Install the Openseo Review Web Content 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.
    https://github.com/every-app/open-seo/tree/main/.agents/skills/openseo-review-web-content
  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/every-app/open-seo.git /tmp/open-seo
mkdir -p .claude/skills
cp -r /tmp/open-seo/.agents/skills/openseo-review-web-content .claude/skills/openseo-review-web-content
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openseo Review Web Content 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 Openseo Review Web Content 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 Openseo Review Web Content 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.

OpenSEO Web Content

Everything we publish must be traceable to what the product actually does and costs, and must read like a practitioner wrote it. The reader's interest comes first: teach something they can act on, and answer straight — including when the honest answer is "no" or "it costs money."

Principles

  1. Traceable truth. Every capability claim, price, and screenshot is verifiable against the code, the fact sheet (src/server/features/onboarding/openseo-fact-sheet.md), or the live product. If you can't point to where it's true, it doesn't ship.
  2. Lead with the real answer. "No," "not unlimited," and "it costs money" are complete answers. Hedging that lets a reader infer something more flattering than the truth is a way of misleading them.
  3. Honest pricing, with its reasoning. Quality SEO data is expensive everywhere — that's why the big suites run $100/month and up. OpenSEO is the affordable option: $10/month, free to start. Never simply "free."
  4. Sound like a person. Fix AI tells by restating the underlying claim plainly, not by polishing the flourish. The deslop skill is the reference for what to hunt and how to fix it.
  5. Reader-first altitude. Guides teach actionable SEO that stands on its own — not product documentation, not generic filler. Credit free resources to their real owners (Google's autocomplete, the reader's own Search Console).
  6. One bar, whole surface. When a standard improves, sweep everything to it — all the FAQs, all the pages — not just the instance that got noticed.
  7. Playbook terminology. Call each approach within any OpenSEO playbook a "strategy," never a "play." Use "workflow" for the steps readers execute; use "playbook" only for the complete collection.

Questions to ask while reviewing

  • If a reader trusted every claim and screenshot, then opened OpenSEO right now, where would reality not match?
  • Does each answer open with the real answer, or quietly steer toward a more flattering inference?
  • Read the sharpest line aloud: would a person say it that way?
  • Is anything called free that actually costs credits?
  • Is this teaching the reader something useful on its own, or drifting into product docs or padding?
  • Does every link, image, and example on the page earn its place for the reader?

Facts to verify, not remember

Check these against code before repeating any of them — they change: pricing and credits (src/shared/billing.ts, the pricing page), free-plan limits (src/shared/audit-limits.ts), MCP capabilities (src/server/mcp/tools/ — one file per tool), and any UI affordance copy tells the reader to use (the column, sort, or filter must exist in the client code).

Process

Spawn subagents to run the review passes (voice/deslop, claims accuracy, directness) and have them return exact old → new proposals rather than editing directly. Do not accept their proposals blindly: verify each one against the actual file, and each factual claim against the code, before applying — subagent rewrites can introduce their own awkwardness or errors, and a proposal that mismatches the file means it reviewed stale text. After applying, sweep the changed surface yourself (patterns cluster — one em dash or hedge usually has neighbors), then run npm --prefix web run types:check and prettier on touched TS/TSX.

Frequently asked questions

What does the Openseo Review Web Content AI skill do?

Write and review content for the OpenSEO website (web/) — blog posts, guides, feature pages, FAQs. Distills the philosophy for on-brand, useful, accurate content. Use whenever adding or editing user-facing prose in web/content or web/src.

Why use Openseo Review Web Content on TypingMind?

Because you install it once and use it with any model. Openseo Review Web Content 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 Openseo Review Web Content in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/every-app/open-seo/tree/main/.agents/skills/openseo-review-web-content. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Openseo Review Web Content?

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 Openseo Review Web Content?

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

Is the Openseo Review Web Content AI skill free?

Yes. It is published on GitHub by every-app 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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