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Pdf Generation Troubleshooting

OrganizationPopular
HKUDS
pdf-generation-troubleshooting

Systematic fallback workflow for PDF generation through pandoc, reportlab, and fpdf2 with installation verification

Overview

PublisherHKUDS
RepositoryOpenSpace
Skill namepdf-generation-troubleshooting
Stars
7.8K
Forks
923
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 HKUDS on GitHub. Read the source before you install it.

Installation

Install the Pdf Generation Troubleshooting 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/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-generation-troubleshooting
  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/HKUDS/OpenSpace.git /tmp/OpenSpace
mkdir -p .claude/skills
cp -r /tmp/OpenSpace/benchmarks/gdpval/skills/pdf-generation-troubleshooting .claude/skills/pdf-generation-troubleshooting
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pdf Generation Troubleshooting 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 Pdf Generation Troubleshooting 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 Pdf Generation Troubleshooting 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.

PDF Generation Troubleshooting Workflow

This skill provides a systematic approach to generating PDFs when multiple tools may be unavailable. Follow this fallback sequence to ensure PDF generation succeeds.

Workflow Overview

  1. Try pandoc first (simplest for markdown/HTML conversion)
  2. Fallback to reportlab (Python library for programmatic PDFs)
  3. Fallback to fpdf2 (alternative Python PDF library)

Each step includes installation verification before execution.

Step 1: Attempt pandoc Conversion

Use pandoc for markdown or HTML to PDF conversion. Check availability first:

bash
# Check if pandoc is available
which pandoc || echo "pandoc not found"

If available, convert:

bash
pandoc input.md -o output.pdf

If pandoc fails or is unavailable, proceed to Step 2.

Step 2: Attempt reportlab

Check Installation

bash
python3 -c "import reportlab" 2>/dev/null && echo "reportlab available" || echo "reportlab not found"

Install if Needed

bash
pip install reportlab

Create PDF Script

Use write_file to create a Python script:

python
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas

def create_pdf(filename, content):
    c = canvas.Canvas(filename, pagesize=letter)
    c.drawString(100, 750, content)
    c.save()

if __name__ == "__main__":
    create_pdf("output.pdf", "Your content here")

Execute Script

Use run_shell with proper directory context:

bash
cd /path/to/working/directory && python3 script.py

If reportlab fails, proceed to Step 3.

Step 3: Attempt fpdf2

Check Installation

bash
python3 -c "from fpdf import FPDF" 2>/dev/null && echo "fpdf2 available" || echo "fpdf2 not found"

Install if Needed

bash
pip install fpdf2

Create PDF Script

python
from fpdf import FPDF

def create_pdf(filename, text):
    pdf = FPDF()
    pdf.add_page()
    pdf.set_font("Arial", size=12)
    pdf.cell(200, 10, txt=text, ln=True)
    pdf.output(filename)

if __name__ == "__main__":
    create_pdf("output.pdf", "Your content here")

Execute Script

bash
cd /path/to/working/directory && python3 script.py

Decision Matrix

ToolBest ForLimitations
pandocMarkdown/HTML conversionRequires external installation
reportlabComplex layouts, graphicsSteeper learning curve
fpdf2Simple text PDFsLimited formatting options

Error Handling Pattern

For each tool attempt:

  1. Check availability/installation
  2. Install if missing (pip install <package>)
  3. Create script using write_file
  4. Execute using run_shell with cd <dir> && <command>
  5. Verify output file exists
  6. If fails, move to next tool in sequence

Example Fallback Implementation

bash
# Pseudocode for full workflow
if command -v pandoc >/dev/null 2>&1; then
    pandoc input.md -o output.pdf && exit 0
fi

if python3 -c "import reportlab" 2>/dev/null; then
    # Create and run reportlab script
    exit 0
fi

# Final fallback: fpdf2
pip install fpdf2
# Create and run fpdf2 script

Key Principles

  • Always verify tool availability before attempting use
  • Install on-demand when a tool is missing
  • Use write_file for script creation (ensures clean, versionable code)
  • Use run_shell with explicit directory context (cd <dir> && <cmd>)
  • Progressive fallback ensures at least one method succeeds
  • Verify output after each attempt before moving to next tool

Frequently asked questions

What does the Pdf Generation Troubleshooting AI skill do?

Systematic fallback workflow for PDF generation through pandoc, reportlab, and fpdf2 with installation verification

Why use Pdf Generation Troubleshooting on TypingMind?

Because you install it once and use it with any model. Pdf Generation Troubleshooting 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 Pdf Generation Troubleshooting in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/pdf-generation-troubleshooting. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pdf Generation Troubleshooting?

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 Pdf Generation Troubleshooting?

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

Is the Pdf Generation Troubleshooting AI skill free?

Yes. It is published on GitHub by HKUDS 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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