Pdf Checklist Generation logo

Pdf Checklist Generation

OrganizationPopular
HKUDS
pdf-checklist-generation

Generate structured PDF checklists and reports using Python libraries in sandbox

Overview

PublisherHKUDS
RepositoryOpenSpace
Skill namepdf-checklist-generation
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 Checklist Generation 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-checklist-generation
  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-checklist-generation .claude/skills/pdf-checklist-generation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pdf Checklist Generation 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 Checklist Generation 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 Checklist Generation 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 Checklist Generation

This skill provides a workflow for creating professional PDF documents (checklists, reports, scorecards) using Python libraries within an execute_code_sandbox environment.

When to Use

  • Need to generate downloadable PDF reports or checklists
  • Require structured documents with tables, sections, or scoring criteria
  • Working in a sandbox environment without direct file system access

Available Libraries

Choose one based on your needs:

LibraryBest ForComplexity
reportlabProfessional layouts, tables, precise controlMedium
fpdfSimple documents, quick generationLow
matplotlibCharts, graphs, visual reportsMedium

Step-by-Step Workflow

Step 1: Install Required Library

python
!pip install reportlab  # or fpdf, matplotlib

Step 2: Create PDF Generation Script

Example using reportlab:

python
from reportlab.lib.pagesizes import letter
from reportlab.platypus import SimpleDocTemplate, Table, TableStyle, Paragraph, Spacer
from reportlab.lib.styles import getSampleStyleSheet
from reportlab.lib import colors

def create_checklist_pdf(filename, checklist_items):
    doc = SimpleDocTemplate(filename, pagesize=letter)
    styles = getSampleStyleSheet()
    elements = []
    
    # Title
    elements.append(Paragraph("Assessment Checklist", styles['Heading1']))
    elements.append(Spacer(1, 12))
    
    # Table data
    data = [['Item', 'Status', 'Score']]
    for item in checklist_items:
        data.append([item['name'], item['status'], item['score']])
    
    # Create table
    table = Table(data)
    table.setStyle(TableStyle([
        ('BACKGROUND', (0, 0), (-1, 0), colors.grey),
        ('TEXTCOLOR', (0, 0), (-1, 0), colors.whitesmoke),
        ('ALIGN', (0, 0), (-1, -1), 'CENTER'),
        ('GRID', (0, 0), (-1, -1), 1, colors.black),
    ]))
    elements.append(table)
    
    doc.build(elements)
    print(f"PDF created: {filename}")

# Usage
checklist = [
    {'name': 'Security Check', 'status': 'Pass', 'score': 10},
    {'name': 'Performance Test', 'status': 'Fail', 'score': 5},
]
create_checklist_pdf('report.pdf', checklist)

Step 3: Execute in Sandbox

Run the script using execute_code_sandbox:

execute_code_sandbox(code="<your pdf generation code>")

Step 4: Verify Output

After generation, verify the PDF was created:

read_file(path="report.pdf")

Or inspect via shell:

execute_code_sandbox(code="import os; print(os.path.exists('report.pdf'))")

Best Practices

  1. Keep it simple: Start with basic layouts before adding complexity
  2. Test incrementally: Generate a minimal PDF first, then add features
  3. Handle errors: Wrap PDF generation in try/except blocks
  4. Verify file existence: Always confirm the PDF was created before proceeding
  5. Use UTF-8: Ensure text encoding is proper for special characters

Common Pitfalls

  • Forgetting to install the library before import
  • Not checking if file was created successfully
  • Using paths that don't exist in sandbox environment
  • Missing required dependencies for advanced features

Troubleshooting

IssueSolution
Import errorRun !pip install <library> first
File not foundCheck working directory with !pwd
Blank PDFEnsure doc.build() is called
Encoding issuesUse Unicode strings, specify encoding

Frequently asked questions

What does the Pdf Checklist Generation AI skill do?

Generate structured PDF checklists and reports using Python libraries in sandbox

Why use Pdf Checklist Generation on TypingMind?

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

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

Which AI models can use Pdf Checklist Generation?

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 Checklist Generation?

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

Is the Pdf Checklist Generation 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇