Seo Fix Plan logo

Seo Fix Plan

Organization
unifapi-agent
seo-fix-plan

When the user has SEO audit evidence and wants a concrete, prioritized plan for what to fix next. Also use on "SEO fixes," "SEO fix plan," "technical SEO fixes," "on-page fix list," "prioritize SEO issues," "turn this SEO audit into tasks," "SEO remediation plan," or "what should I fix first for SEO." For diagnosing issues from scratch, run seo-audit first; for schema implementation details, see schema.

Overview

Publisherunifapi-agent
Repositoryagents
Skill nameseo-fix-plan
Stars
590
Forks
115
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 unifapi-agent on GitHub. Read the source before you install it.

Installation

Install the Seo Fix Plan 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/unifapi-agent/agents/tree/main/skills/seo-agent/seo-fix-plan
  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/unifapi-agent/agents.git /tmp/agents
mkdir -p .claude/skills
cp -r /tmp/agents/skills/seo-agent/seo-fix-plan .claude/skills/seo-fix-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Fix Plan 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 Fix Plan 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 Fix Plan 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.

SEO Fix Plan

Turn SEO findings into an execution-ready fix plan. The job is not to run another generic audit; it is to take live SERP, rendered-page, backlink, and keyword evidence and sequence the smallest set of fixes most likely to improve crawlability, rankings, and click-through.

This is an enhanced skill: it reads live public data through UnifAPI when evidence is missing or stale, but it remains eyes, not hands. It does not edit the site, submit to Search Console, disavow links, or open PRs. It returns a plan the operator's own assistant or team can execute.

Use UnifAPI for live evidence

Start from an existing seo-audit report whenever possible. Re-pull only the evidence needed to confirm priority or fill a gap:

  • Rendered page reality - browser/markdown, browser/html, and browser/links for titles, meta, headings, JSON-LD, internal links, canonicals, robots directives, and orphan/depth signals.
  • Rank and competitor reality - seo/serp, seo/competitors/domain, seo/competitors/relevant-pages, and seo/competitors/ranked-keywords to see whether a fix targets a real ranking gap.
  • Keyword and intent fit - seo/keywords/overview and seo/keywords/intent to avoid optimizing a page for a query with weak demand or mismatched intent.
  • Authority and links - seo/backlinks/summary, seo/backlinks/referring-domains, seo/backlinks/anchors, seo/backlinks/bulk-spam-score, and seo/backlinks/domain-intersection when link risk or link gap changes priority.

Keep run dates and billing metadata in the output.

Workflow

  1. Load the diagnosis. Use the latest seo-audit output if present. If the user only provides a domain and asks for fixes, run the minimum live reads needed to identify the current blockers.
  2. Deduplicate issues into fix units. Merge repeated symptoms into one action when they share the same root cause, template, or component. A title-tag problem across 40 pages is one template fix, not 40 tasks.
  3. Classify every fix by type. Use: Crawl/indexation, Technical, On-page, Content quality, Internal links, Schema, Authority/links.
  4. Score priority. Rank by impact, confidence, effort, and dependency:
    • Impact: blocked indexation or high-volume ranking gap beats cosmetic polish.
    • Confidence: live evidence and competitor contrast beat best-practice hunches.
    • Effort: template/sitewide fixes and striking-distance pages usually move first.
    • Dependency: crawl/indexation fixes come before content and schema polish.
  5. Write exact acceptance checks. Every task needs a "done when" that can be verified with a live read, validator, or SERP re-check.
  6. Hand off cleanly. Point implementation details to schema, the operator's code assistant, CMS, or site team. Do not pretend this skill made the change.

Priority rubric

Score each fix from 1-5:

FactorMeaning
ImpactExpected upside if fixed: indexation unlock, ranking lift, CTR gain, or reduced risk.
ConfidenceStrength of evidence: rendered page, live SERP, competitor contrast, backlink data.
Effort5 = easy/template fix, 1 = heavy content or engineering project.
Dependency5 = unblocks other fixes, 1 = can wait.
text
FixPriority = Impact * 0.4 + Confidence * 0.25 + Effort * 0.2 + Dependency * 0.15

Output tiers:

  • Now - critical blockers and high-confidence quick wins.
  • Next - material ranking or CTR fixes after blockers are cleared.
  • Later - content expansion, authority campaigns, and lower-confidence bets.

Output

Return a concise execution plan:

markdown
# SEO Fix Plan - {domain} ({YYYY-MM-DD})

## Summary

- Highest-leverage fix: ...
- Main blocker: ...
- Quick wins: ...
- Evidence refreshed: ...

## Fix Plan

| Priority | Fix                                           | Type             | Evidence                                               | Action               | Acceptance check                                   | Owner     |
| -------- | --------------------------------------------- | ---------------- | ------------------------------------------------------ | -------------------- | -------------------------------------------------- | --------- |
| Now      | Add canonical self-reference on product pages | Crawl/indexation | browser/html 2026-06-05: missing canonical on /pricing | Update page template | browser/html shows canonical; sitemap contains URL | Site/code |

## Implementation Notes

- Schema handoff: ...
- Content handoff: ...
- Link/outreach handoff: ...

## Re-check Plan

- Re-render affected templates after deploy.
- Re-run SERP checks for the target queries after the next crawl window.
- Record UnifAPI cost from billing metadata.

Guardrails

  • Do not invent fixes that lack evidence. If evidence is missing, mark the task needs-read and name the operation to run.
  • Do not promise rankings or timelines. A fix plan is a prioritized bet backed by live evidence.
  • Do not mix implementation with diagnosis. This skill can produce exact copy, JSON-LD suggestions, or code-assistant instructions, but the operator's own tools make the change.
  • Keep destructive SEO actions gated. Disavow, canonical consolidation, noindex, redirect changes, and URL removals need explicit human review.

Related Skills

  • seo-audit: diagnose the site and produce the findings this skill turns into an execution plan.
  • keyword-research: expand or validate the keyword gaps behind a content or on-page fix.
  • schema: generate and validate JSON-LD for structured-data fixes.
  • unifapi: the shared data skill (connect MCP, discover the SEO and browser operations this skill reads).

Frequently asked questions

What does the Seo Fix Plan AI skill do?

When the user has SEO audit evidence and wants a concrete, prioritized plan for what to fix next. Also use on "SEO fixes," "SEO fix plan," "technical SEO fixes," "on-page fix list," "prioritize SEO issues," "turn this SEO audit into tasks," "SEO remediation plan," or "what should I fix first for SEO." For diagnosing issues from scratch, run seo-audit first; for schema implementation details, see schema.

Why use Seo Fix Plan on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/unifapi-agent/agents/tree/main/skills/seo-agent/seo-fix-plan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Seo Fix Plan?

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 Fix Plan?

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

Is the Seo Fix Plan AI skill free?

Yes. It is published on GitHub by unifapi-agent 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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