geo-report-pdf – skill Tài liệu & Office cho agent AI
Tạo báo cáo PDF chuyên nghiệp từ audit GEO bằng pandoc + Chrome headless.
Cài skill geo-report-pdf bằng một lệnh
Chọn công cụ bạn đang dùng, copy lệnh và dán vào terminal. Skill sẽ nằm trong thư mục skills của công cụ đó và sẵn sàng dùng ở phiên làm việc tiếp theo.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/geo-report-pdf-38d99.tgz | tar xz -C ~/.claude/skills
Gọi trong Claude Code: /geo-report-pdf – rồi mô tả công việc bạn muốn làm.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/geo-report-pdf-38d99.tgz | tar xz -C ~/.codex/skills
Gọi trong Codex: $geo-report-pdf – rồi mô tả công việc bạn muốn làm.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/geo-report-pdf-38d99.tgz | tar xz -C ~/.hermes/skills
Gọi trong Hermes Agent: /geo-report-pdf – rồi mô tả công việc bạn muốn làm.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/geo-report-pdf-38d99.tgz | tar xz -C ~/.deepcode/skills
Gọi trong DeepSeek: /geo-report-pdf – rồi mô tả công việc bạn muốn làm.
Nội dung SKILL.md
Nội dung SKILL.md gốc bằng tiếng Anh.
GEO PDF Report Generator (pandoc pipeline)
Prerequisites
- pandoc —
brew 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 separately provided reviewed 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 (references/ templates in this skill or user-provided 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:
| Field | Where to find it |
|---|---|
| brand_name | First H1 title (after "GEO Audit Report:") |
| domain | Second bold line (e.g. Domain: alexamediasolutions.com) |
| geo_score | Line matching ## Overall GEO Score: XX / 100 |
| score_label | Word 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
Save extracted metadata with a structured JSON writer to geo-metadata.json. Treat report fields as untrusted values, never executable code or shell fragments. The templates are not bundled: require existing reviewed absolute template/CSS paths in that JSON, or stop and report the missing prerequisite.
import json
import subprocess
from pathlib import Path
config = json.loads(Path("geo-metadata.json").read_text())
args = ["pandoc", "GEO-AUDIT-REPORT.md", "--to", "html5", "--standalone"]
for option, key in [("--template", "template_path"), ("--css", "css_path")]:
path = Path(config[key])
if not path.is_absolute() or not path.is_file():
raise ValueError("An existing reviewed absolute resource path is required")
args.extend([option, str(path)])
allowed = {"title", "brand_name", "domain", "geo_score", "score_label", "date", "business_type", "locations", "platform"}
for key, value in config.get("metadata", {}).items():
if key not in allowed or not isinstance(value, str) or len(value) > 500:
raise ValueError("Invalid report metadata")
args.extend(["--metadata", key + "=" + value])
subprocess.run(args + ["-o", "GEO-REPORT.html"], check=True, shell=False)Render with network access disabled and the browser sandbox enabled; do not embed remote resources or run untrusted template JavaScript.
Step 4: Run Chrome headless
The command below does not itself disable network access. Enforce that separately using the host’s supported sandbox/network policy, choose an isolated temporary browser profile and a new output destination, and inspect the generated HTML for remote resources or active content before rendering.
"/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" \
--headless=new \
--disable-gpu \
--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.pdfwas generated in the current directory- File size
- Optionally:
open GEO-REPORT.pdfto 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/100are color-coded: ≥80 green, ≥65 blue, ≥50 amber, ≥35 orange, <35 red - Finding sections —
h3headings 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
references/templates in this skill or user-provided HTML - Cover layout — Edit
references/templates in this skill or user-provided HTML - Score thresholds for color-coding — Edit the
scoreColor()function in the template's<script>block - Which sections get page breaks — Edit the
breakBeforearray in the template's<script>block
Troubleshooting
| Problem | Fix |
|---|---|
| pandoc: command not found | brew install pandoc |
| Chrome not found | Check path: /Applications/Google Chrome.app/Contents/MacOS/Google Chrome |
| PDF is blank / empty | Increase --virtual-time-budget to 8000 |
| Cover metadata missing | Check GEO-AUDIT-REPORT.md has the standard header format |
| Fonts not loading | PDF is rendered offline; system fonts are used as fallback — this is expected |
When to Use
- You need a Generative Engine Optimization task for a website: audit, citability, crawlers, schema, llms.txt, content, platform tuning, or client reporting.
- Run read-only analysis first; propose site changes before making any.
Limitations
- Audits are read-only analysis; never publish, deploy, or modify the target site without explicit approval.
- Scores and citation likelihoods are heuristics, not guarantees from AI search platforms.
- Docs-only import: upstream scripts, agents, hooks, and schema templates are not bundled.
Example
curl -s https://example.com/robots.txt
curl -s https://example.com/llms.txt> Adapted from [zubair-trabzada/geo-seo-claude](https://github.com/zubair-trabzada/geo-seo-claude) (MIT); frontmatter, When to Use/Limitations, and safety boundaries added for upstream compliance. Docs-only import: upstream runtime helpers not bundled.
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