Geo Report Pdf logo

Geo Report Pdf

CommunityPopular
zubair-trabzada
geo-report-pdf

Generate a professional PDF report from a GEO audit using pandoc + Chrome headless. Converts GEO-AUDIT-REPORT.md into a styled, client-ready PDF with a cover page, color-coded score tables, severity-tagged findings, and a 90-day roadmap.

Overview

Publisherzubair-trabzada
Repositorygeo-seo-claude
Skill namegeo-report-pdf
Stars
10.7K
Forks
1.6K
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 zubair-trabzada on GitHub. Read the source before you install it.

Installation

Install the Geo Report Pdf 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/zubair-trabzada/geo-seo-claude.git /tmp/geo-seo-claude
mkdir -p .claude/skills
cp -r /tmp/geo-seo-claude/skills/geo-report-pdf .claude/skills/geo-report-pdf
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Geo Report Pdf 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 Geo Report Pdf 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 Geo Report Pdf 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.

GEO PDF Report Generator (pandoc pipeline)

Prerequisites

  • pandocbrew install pandoc
  • Google Chrome — must be installed at /Applications/Google Chrome.app/

No Python dependencies. No ReportLab. No JSON data wrangling.

How It Works

  1. Read GEO-AUDIT-REPORT.md in the current directory (created by /geo audit)
  2. Extract cover metadata from the report (brand name, domain, GEO score, date, locations)
  3. Run pandoc with the bundled CSS + HTML template to produce a self-contained GEO-REPORT.html
  4. Run Chrome headless to print the HTML to GEO-REPORT.pdf

The pandoc template (~/.claude/skills/geo/templates/geo-report-template.html) injects:

  • A full-bleed dark navy cover section with the GEO score badge
  • Per-section cover metadata (date, business type, locations, platform)
  • JavaScript that runs inside Chrome before printing to color-code score cells and severity-tag finding sections

Workflow

Step 1: Check for audit report

Look for GEO-AUDIT-REPORT.md in the current directory. If absent, tell the user to run /geo audit <url> first.

Step 2: Extract cover metadata from the report

Read the top of GEO-AUDIT-REPORT.md and extract:

FieldWhere to find it
brand_nameFirst H1 title (after "GEO Audit Report:")
domainSecond bold line (e.g. **Domain:** alexamediasolutions.com)
geo_scoreLine matching ## Overall GEO Score: XX / 100
score_labelWord after the score on that same line (e.g. "Poor", "Fair", "Good")
date**Audit Date:** line
business_type**Business Type:** line
locations**Locations:** line
platform**CMS:** line

Step 3: Run pandoc

bash
pandoc GEO-AUDIT-REPORT.md \
  --to html5 \
  --standalone \
  --embed-resources \
  --template ~/.claude/skills/geo/templates/geo-report-template.html \
  --css ~/.claude/skills/geo/templates/geo-report-style.css \
  --metadata title="GEO Audit Report — <brand_name>" \
  --metadata brand_name="<brand_name>" \
  --metadata domain="<domain>" \
  --metadata geo_score="<geo_score>" \
  --metadata score_label="<score_label>" \
  --metadata date="<date>" \
  --metadata business_type="<business_type>" \
  --metadata locations="<locations>" \
  --metadata platform="<platform>" \
  -o GEO-REPORT.html

Replace <field> placeholders with values extracted in Step 2. If a field is not found in the report, omit that --metadata flag — the template has sensible defaults.

Step 4: Run Chrome headless

bash
"/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" \
  --headless=new \
  --disable-gpu \
  --no-sandbox \
  --print-to-pdf="$(pwd)/GEO-REPORT.pdf" \
  --print-to-pdf-no-header \
  --no-pdf-header-footer \
  --virtual-time-budget=5000 \
  "file://$(pwd)/GEO-REPORT.html"

Step 5: Report completion

Tell the user:

  • GEO-REPORT.pdf was generated in the current directory
  • File size
  • Optionally: open GEO-REPORT.pdf to preview it

What the PDF Contains

  • Cover page — Dark navy gradient, brand name, domain, GEO score badge (colored by score), audit date, business type, locations, CMS platform
  • Score tables — Cells containing XX/100 are color-coded: ≥80 green, ≥65 blue, ≥50 amber, ≥35 orange, <35 red
  • Finding sectionsh3 headings containing "Critical / High / Medium / Low" get severity-colored left-border callout blocks (red / orange / yellow / green)
  • Section page breaks — Major sections (High Priority, 90-Day Roadmap, Component Score Summary, Generated Schema) break to new pages automatically
  • Code blocks — JSON schema templates render with dark theme monospace styling
  • Page footer — Brand name · GEO Audit · date + page numbers (via CSS @page)

Customizing the Report

  • Colors / typography — Edit ~/.claude/skills/geo/templates/geo-report-style.css
  • Cover layout — Edit ~/.claude/skills/geo/templates/geo-report-template.html
  • Score thresholds for color-coding — Edit the scoreColor() function in the template's <script> block
  • Which sections get page breaks — Edit the breakBefore array in the template's <script> block

Troubleshooting

ProblemFix
pandoc: command not foundbrew install pandoc
Chrome not foundCheck path: /Applications/Google Chrome.app/Contents/MacOS/Google Chrome
PDF is blank / emptyIncrease --virtual-time-budget to 8000
Cover metadata missingCheck GEO-AUDIT-REPORT.md has the standard header format
Fonts not loadingPDF is rendered offline; system fonts are used as fallback — this is expected

Frequently asked questions

What does the Geo Report Pdf AI skill do?

Generate a professional PDF report from a GEO audit using pandoc + Chrome headless. Converts GEO-AUDIT-REPORT.md into a styled, client-ready PDF with a cover page, color-coded score tables, severity-tagged findings, and a 90-day roadmap.

Why use Geo Report Pdf on TypingMind?

Because you install it once and use it with any model. Geo Report Pdf 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 Geo Report Pdf in TypingMind?

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

Which AI models can use Geo Report Pdf?

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 Geo Report Pdf?

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

Is the Geo Report Pdf AI skill free?

Yes. It is published on GitHub by zubair-trabzada 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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