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Document Gen Unicode Safe

OrganizationPopular
HKUDS
document-gen-unicode-safe

Unicode-safe fallback workflow for multi-format document generation with character sanitization

Overview

PublisherHKUDS
RepositoryOpenSpace
Skill namedocument-gen-unicode-safe
Stars
7.7K
Forks
918
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 Document Gen Unicode Safe 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/HKUDS/OpenSpace.git /tmp/OpenSpace
mkdir -p .claude/skills
cp -r /tmp/OpenSpace/benchmarks/gdpval/skills/document-gen-fallback-enhanced-enhanced-c5d426 .claude/skills/document-gen-unicode-safe
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Document Gen Unicode Safe 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 Document Gen Unicode Safe 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 Document Gen Unicode Safe 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.

Document Generation Fallback Workflow (Unicode-Safe)

When to Use

First, assess whether to delegate to shell_agent or use manual workflow:

✅ Use shell_agent Directly When:

  • Document is straightforward (no special Unicode characters, symbols, or non-ASCII text)
  • Single format output needed (e.g., just .docx)
  • Content is primarily ASCII text with standard punctuation
  • No complex formatting requirements (tables, equations, custom templates)
  • You want quick iteration and shell_agent has succeeded on similar tasks before

⚠️ Use Manual Workflow When:

  • shell_agent returns unknown or unclear errors
  • Document contains special characters, symbols, or non-ASCII text (see Unicode table below)
  • Generating multiple formats simultaneously (e.g., .docx, .pdf, .html)
  • PDF generation fails due to LaTeX encoding issues
  • You need fine-grained control over each conversion step
  • Previous shell_agent attempts failed on similar content

📋 Decision Checklist

markdown
1. Does the document contain: em-dashes (—), curly quotes (" "), arrows (→), 
   checkmarks (✓), or other special symbols? → Use Manual Workflow

2. Is non-ASCII text present (é, ñ, ü, 中文,العربية)? → Use Manual Workflow with sanitization

3. Did shell_agent already fail on this or similar content? → Use Manual Workflow

4. Need multiple output formats with guaranteed success? → Use Manual Workflow

5. Simple ASCII document, single format, first attempt? → Try shell_agent First

Core Technique

Quick Path (for straightforward documents): Delegate directly to shell_agent with clear instructions:

shell_agent
task: Create a Word document from markdown content. Write the markdown to 
      /tmp/document.md, then convert to .docx using pandoc, and verify the output exists.

Manual Path (for complex/Unicode-heavy documents): Split the workflow into discrete, observable steps:

  1. Content creation → Use write_file to create source document (Markdown)
  2. Unicode sanitization → Preprocess markdown to replace problematic characters before PDF conversion
  3. Format conversion → Use run_shell with pandoc for each target format
  4. Verification → Check output files exist and are valid

Why This Adaptive Approach?

ScenarioRecommended ApproachRationale
Simple ASCII doc, single formatshell_agentFaster, less manual overhead
Unicode symbols presentManual workflowPrevents LaTeX encoding failures
Previous shell_agent failureManual workflowAvoids repeat failures
Multiple formats neededManual workflowGranular control per format
Time-sensitive, low-riskshell_agent firstTry fast path, fallback if needed
  1. Content creation → Use write_file to create source document (Markdown)
  2. Unicode sanitization → Preprocess markdown to replace problematic characters before PDF conversion
  3. Format conversion → Use run_shell with pandoc for each target format
  4. Verification → Check output files exist and are valid

⚠️ Unicode & LaTeX Compatibility Warning

Critical: PDF generation via pandoc typically uses LaTeX (pdflatex or xelatex), which has limited Unicode support. Common problematic characters include:

CharacterIssueSafe Replacement
(em dash)May not render-- or -
(en dash)May not render-
" " (curly quotes)Encoding errors" " (straight quotes)
' ' (curly apostrophe)Encoding errors' (straight apostrophe)
(ellipsis)May not render...
(arrows)LaTeX incompatibility-> <- ^ v
(checkmarks)May not render[x] [ ]
(symbols)May not render* -
© ® May require packages(c) (r) (tm)
Non-ASCII letters (é, ñ, ü)Font-dependentUse xeLaTeX or replace

Step-by-Step Workflow

Step 1: Create Source Content with write_file

Write your document content as Markdown to a temporary source file. This gives you full visibility into the content being generated.

write_file
path: /tmp/document_source.md
content: |
  # Document Title
  
  ## Section 1
  Content here...
  
  ## Section 2
  More content...

Step 2: Sanitize Unicode Characters (Pre-PDF Conversion)

Before PDF conversion, create a sanitized version of your markdown with LaTeX-safe characters:

write_file
path: /tmp/document_source_sanitized.md
content: |
  # Document Title
  
  ## Section 1
  Content here... (with all special chars replaced per table above)

Alternative: Use a shell script to sanitize:

run_shell
command: sed -e 's/—/--/g' -e 's/–/-/g' -e 's/"([^"]*)"/"\1"/g' -e 's/'([^']*)/'\1'/g' /tmp/document_source.md > /tmp/document_source_sanitized.md

Note: Keep the original unsanitized file for DOCX/HTML conversion (these formats handle Unicode better).

Step 3: Convert to Target Formats with run_shell

Use run_shell with explicit pandoc commands for each format. Use sanitized source for PDF, original for other formats.

run_shell
command: pandoc /tmp/document_source.md -o output.docx
run_shell
command: pandoc /tmp/document_source_sanitized.md -o output.pdf
run_shell
command: pandoc /tmp/document_source.md -o output.html

Step 4: Verify Outputs

Check that files were created successfully:

run_shell
command: ls -lh output.docx output.pdf output.html

Complete Example

Quick Path Example (Simple Document)

markdown
# Generate Simple Meeting Notes

## Delegate to shell_agent
shell_agent
task: |
  Create meeting notes document:
  1. Write to /tmp/meeting_notes.md with content:
     "# Team Meeting Notes
     
     ## Date: 2024-01-15
     ## Attendees: Alice, Bob, Carol
     
     ## Action Items
     - Alice: Complete report by Friday
     - Bob: Schedule follow-up meeting
     
     ## Next Meeting: 2024-01-22"
  2. Convert to Word: pandoc /tmp/meeting_notes.md -o meeting_notes.docx
  3. Verify: ls -lh meeting_notes.docx

Manual Path Example (Unicode-Heavy Document)

markdown
# Generate Negotiation Strategy Document

## Step 1: Write Markdown source
write_file
path: /tmp/negotiation_strategy.md
content: |
  # Negotiation Strategy
  
  ## Executive Summary
  [Content with original unicode...]
  
  ## Resolution Path
  [Content...]
  
  ## BATNA Analysis
  [Content...]

## Step 2: Create sanitized version for PDF
write_file
path: /tmp/negotiation_strategy_sanitized.md
content: |
  # Negotiation Strategy
  
  ## Executive Summary
  [Content with unicode replaced: em-dash -> --, curly quotes -> straight, etc.]
  
  ## Resolution Path
  [Content...]
  
  ## BATNA Analysis
  [Content...]

## Step 3: Convert to DOCX (from original)
run_shell
command: pandoc /tmp/negotiation_strategy.md -o negotiation_strategy.docx

## Step 4: Convert to PDF (from sanitized)
run_shell
command: pandoc /tmp/negotiation_strategy_sanitized.md -o negotiation_strategy.pdf

## Step 5: Convert to HTML (from original)
run_shell
command: pandoc /tmp/negotiation_strategy.md -o negotiation_strategy.html

## Step 6: Verify
run_shell
command: ls -lh negotiation_strategy.*

Advantages Over shell_agent

Aspectshell_agentManual Workflow
Error visibilityOpaque, may retry silentlyEach step shows explicit output
RecoveryAutomatic but may loopManual intervention at specific step
DebuggingHard to isolate failure pointClear which step failed
Unicode controlAgent may not handle encodingYou control character sanitization
ControlAgent decides approachYou control each conversion

Common pandoc Commands

bash
# Markdown to Word
pandoc input.md -o output.docx

# Markdown to PDF (requires LaTeX or wkhtmltopdf)
pandoc input.md -o output.pdf

# Markdown to PDF with Unicode-safe engine (better Unicode support)
pandoc input.md -o output.pdf --pdf-engine=xelatex

# Markdown to HTML
pandoc input.md -o output.html

# With custom template
pandoc input.md --template=template.html -o output.html

# With metadata
pandoc input.md -o output.pdf --metadata title="Document Title"

Troubleshooting

  • PDF generation fails with encoding error:

    • Use the sanitized markdown file (Step 2)
    • Or try --pdf-engine=xelatex for better Unicode support
    • Or use --pdf-engine=wkhtmltopdf as alternative
  • PDF generation fails: LaTeX not found:

    • Install LaTeX: apt-get install texlive-latex-recommended texlive-fonts-recommended
    • Or use --pdf-engine=wkhtmltopdf instead
  • DOCX formatting issues: Add --reference-doc=template.docx for custom styles

  • Unicode/encoding errors in any format:

    • Add -f markdown+utf8 to pandoc command
    • Ensure source file is UTF-8 encoded: file -i source.md
  • Special characters not rendering in PDF:

    • Use the character replacement table above
    • Create sanitized version before PDF conversion
  • Missing pandoc: Install via apt-get install pandoc or brew install pandoc

Unicode Sanitization Script (Optional)

For repeated use, create a reusable sanitization script:

bash
#!/bin/bash
# sanitize_for_pdf.sh - Replace problematic unicode chars for LaTeX/PDF
if [ -z "$1" ]; then
  echo "Usage: $0 <input.md> [output.md]"
  exit 1
fi
INPUT="$1"
OUTPUT="${2:-${1%.md}_sanitized.md}"

sed -e 's/—/--/g' \
    -e 's/–/-/g' \
    -e 's/"([^"]*)"/"\1"/g' \
    -e 's/'([^']*)/'\1'/g' \
    -e 's/…/.../g' \
    -e 's/→/->/g' \
    -e 's/←/<-/g' \
    -e 's/✓/[x]/g' \
    -e 's/✗/[ ]/g' \
    -e 's/©/(c)/g' \
    -e 's/®/(r)/g' \
    -e 's/™/(tm)/g' \
    "$INPUT" > "$OUTPUT"

echo "Sanitized: $INPUT -> $OUTPUT"

Save as sanitize_for_pdf.sh, make executable with chmod +x sanitize_for_pdf.sh, then use:

run_shell
command: ./sanitize_for_pdf.sh /tmp/document_source.md /tmp/document_source_sanitized.md

When to Return to shell_agent

After successful shell_agent completion: Continue using shell_agent for similar straightforward documents.

After shell_agent failure on Unicode content: Switch to manual workflow for that document and similar future documents. Document the failure pattern.

After successful manual workflow: You now have a proven approach. For future similar documents:

  • If content is similar (same Unicode patterns): Use manual workflow directly
  • If content is simpler: Try shell_agent first, keep manual workflow as backup
  • Build a library of sanitized templates for repeated use

Related Skills

  • document-gen-fallback: Original fallback workflow without Unicode guidance
  • Use this skill as your primary document generation skill—it adapts to document complexity
  • Fall back to document-gen-unicode-safe (parent) if you need the original prescriptive manual-only approach name: document-gen-adaptive-workflow description: Adaptive document generation with smart fallback to manual Unicode-safe workflow

Quick Path: Delegate to shell_agent

For straightforward documents without Unicode concerns:

shell_agent
task: |
  1. Write markdown content to /tmp/report.md using write_file
  2. Convert to Word format: pandoc /tmp/report.md -o report.docx
  3. Convert to PDF: pandoc /tmp/report.md -o report.pdf --pdf-engine=xelatex
  4. Verify both files exist with: ls -lh report.docx report.pdf
  5. Report the file sizes and confirm successful generation

If shell_agent succeeds: Task complete.

If shell_agent fails: Switch to Manual Path below.

Manual Path: Step-by-Step Workflow

Frequently asked questions

What does the Document Gen Unicode Safe AI skill do?

Unicode-safe fallback workflow for multi-format document generation with character sanitization

Why use Document Gen Unicode Safe on TypingMind?

Because you install it once and use it with any model. Document Gen Unicode Safe 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 Document Gen Unicode Safe in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HKUDS/OpenSpace/tree/main/benchmarks/gdpval/skills/document-gen-fallback-enhanced-enhanced-c5d426. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Document Gen Unicode Safe?

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 Document Gen Unicode Safe?

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

Is the Document Gen Unicode Safe 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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