Document Gen Resilient Workflow logo

Document Gen Resilient Workflow

OrganizationPopular
HKUDS
document-gen-resilient-workflow

Robust document generation with engine fallback chain, error diagnostics, and Python alternatives

Overview

PublisherHKUDS
RepositoryOpenSpace
Skill namedocument-gen-resilient-workflow
Stars
7.7K
Forks
918
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by HKUDS on GitHub. Read the source before you install it.

Installation

Install the Document Gen Resilient Workflow 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 .claude/skills/document-gen-resilient-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Document Gen Resilient Workflow 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 Resilient Workflow 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 Resilient Workflow 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.

Resilient Document Generation Workflow

When to Use

Use this skill when document generation tasks encounter tool errors or failures, especially:

  • run_shell commands return 'unknown error' without diagnostic details
  • PDF generation fails with LaTeX encoding or missing engine errors
  • You need fallback options when primary conversion methods fail
  • Workspace or path issues cause file access problems
  • Unicode/special characters cause rendering issues in PDF output
  • shell_agent has failed multiple times on similar tasks

Core Technique

Split document generation into observable, verifiable steps with explicit error capture and progressive fallback:

  1. Validate workspace → Confirm current directory and write permissions
  2. Pre-flight checks → Verify required tools (pandoc, LaTeX engines) are available
  3. Content creation → Use write_file for source Markdown with full visibility
  4. Unicode sanitization → Preprocess for PDF conversion when needed
  5. Progressive conversion → Try multiple engines/methods until one succeeds
  6. Explicit error capture → Redirect stderr to diagnose failures
  7. Verification → Confirm output files exist and are readable

⚠️ Critical: Tool Error Patterns

'unknown error' from run_shell: This typically indicates:

  • Sandbox execution context issues (not the command itself)
  • Missing stderr capture preventing diagnosis
  • Transient file access problems

Solution: Use explicit error capture with 2>&1 and verify tool availability first:

run_shell
command: pandoc --version 2>&1 || echo "PANDOC NOT AVAILABLE"

Pre-Flight Checklist

Before starting conversion, verify your environment:

markdown
## Pre-Flight Checks

### Check 1: Verify working directory
run_shell
command: pwd && ls -la

### Check 2: Verify pandoc availability
run_shell
command: pandoc --version 2>&1 | head -3 || echo "PANDOC MISSING"

### Check 3: Check LaTeX engines
run_shell
command: which pdflatex xelatex wkhtmltopdf 2>&1 || echo "Some engines missing"

### Check 4: Check Python libraries (fallback option)
run_shell
command: python3 -c "import fpdf; print('fpdf OK')" 2>&1 || echo "fpdf missing"
run_shell
command: python3 -c "import docx; print('python-docx OK')" 2>&1 || echo "python-docx missing"

Complete Step-by-Step Workflow

Step 1: Validate Workspace

Confirm you're in the correct directory and can write files:

run_shell
command: pwd && echo "Test write" > /tmp/workspace_test_$$.txt && ls -la /tmp/workspace_test_$$.txt && rm /tmp/workspace_test_$$.txt

If this fails, you may have directory permission issues. Use absolute paths for all files.

Step 2: Create Source Content with write_file

Write document content as Markdown to a source file:

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

Step 3: Unicode Sanitization (PDF Only)

Only needed for PDF conversion via LaTeX engines. DOCX and HTML handle Unicode natively.

Create a sanitized version replacing LaTeX-problematic characters:

write_file
path: /tmp/document_source_sanitized.md
content: |
  # Document Title
  
  [Same content with: em-dash → --, curly quotes → straight, → arrows → text, etc.]

Common replacements (see full table below):

OriginalReplace With
(em dash)--
" " (curly quotes)" " (straight)
(ellipsis)...
(arrows)-> <-
[x] [ ]
© ® (c) (r) (tm)

Alternative: Use sanitization script (see Scripts section below).

Step 4: Progressive Format Conversion

Try multiple methods in order of preference. Capture stderr explicitly for diagnosis.

Method A: DOCX Conversion (Most Reliable)
run_shell
command: pandoc /tmp/document_source.md -o output.docx 2>&1 && echo "SUCCESS" || echo "FAILED: $?"

If this fails, try with explicit UTF-8 flag:

run_shell
command: pandoc /tmp/document_source.md -f markdown+utf8 -o output.docx 2>&1
Method B: PDF Conversion (Progressive Fallback)

Try engines in this order until one succeeds:

run_shell
command: pandoc /tmp/document_source_sanitized.md -o output.pdf 2>&1 | tee /tmp/pdf_error.log && echo "PDF SUCCESS"

If Method B fails, check error log and try next engine:

run_shell
command: pandoc /tmp/document_source_sanitized.md --pdf-engine=xelatex -o output.pdf 2>&1 | tee /tmp/pdf_error.log && echo "PDF SUCCESS"

If xelatex fails:

run_shell
command: pandoc /tmp/document_source_sanitized.md --pdf-engine=wkhtmltopdf -o output.pdf 2>&1 | tee /tmp/pdf_error.log && echo "PDF SUCCESS"
Method C: Python Library Fallback (When pandoc Unavailable)

If all pandoc methods fail, use Python libraries:

Option C1: FPDF2 for PDF

execute_code_sandbox
language: python
code: |
  from fpdf import FPDF
  
  pdf = FPDF()
  pdf.add_page()
  pdf.set_font('Arial', 'B', 16)
  pdf.cell(40, 10, 'Document Title')
  pdf.ln(20)
  pdf.set_font('Arial', '', 12)
  pdf.multi_cell(0, 10, 'Your content here...')
  pdf.output('output.pdf')
  print('PDF created successfully')

Option C2: python-docx for DOCX

execute_code_sandbox
language: python
code: |
  from docx import Document
  
  doc = Document()
  doc.add_heading('Document Title', 0)
  doc.add_paragraph('Your content here...')
  doc.save('output.docx')
  print('DOCX created successfully')

Step 5: Verify Output Files

Don't just check existence—verify files are valid:

run_shell
command: ls -lh output.* 2>&1
run_shell
command: file output.docx output.pdf 2>&1

For DOCX, verify content:

run_shell
command: unzip -p output.docx word/document.xml 2>&1 | head -50 || echo "Cannot read DOCX"

For PDF, check page count:

run_shell
command: pdfinfo output.pdf 2>&1 | grep Pages || echo "pdfinfo not available"

Alternative verification via Python:

execute_code_sandbox
code: |
  import os
  for f in ['output.docx', 'output.pdf', 'output.html']:
    if os.path.exists(f):
      size = os.path.getsize(f)
      print(f'{f}: {size} bytes')
    else:
      print(f'{f}: NOT FOUND')

Complete Example: Generating a Report

markdown
# Generate Quarterly Report (DOCX + PDF)

## Step 1: Pre-flight checks
run_shell
command: pandoc --version 2>&1 | head -1

## Step 2: Write Markdown source
write_file
path: /tmp/quarterly_report.md
content: |
  # Quarterly Business Report
  
  ## Executive Summary
  Q4 performance exceeded expectations...
  
  ## Key Metrics
  - Revenue: $1.2M
  - Growth: 15%
  
  ## Recommendations
  Continue current strategy...

## Step 3: Create sanitized version for PDF
write_file
path: /tmp/quarterly_report_sanitized.md
content: |
  # Quarterly Business Report
  
  ## Executive Summary
  Q4 performance exceeded expectations...
  
  [Rest of content with special chars replaced]

## Step 4: Generate DOCX
run_shell
command: pandoc /tmp/quarterly_report.md -o quarterly_report.docx 2>&1 && echo "DOCX OK"

## Step 5: Generate PDF (try xelatex for Unicode safety)
run_shell
command: pandoc /tmp/quarterly_report_sanitized.md --pdf-engine=xelatex -o quarterly_report.pdf 2>&1 && echo "PDF OK"

## Step 6: Verify outputs
run_shell
command: ls -lh quarterly_report.* && file quarterly_report.*

Full Unicode Replacement Table

CharacterUnicodeIssueSafe Replacement
U+2014LaTeX incompatible--
U+2013LaTeX incompatible-
" "U+201C/U+201DEncoding errors" (straight)
' 'U+2018/U+2019Encoding errors' (straight)
U+2026May not render...
U+2192LaTeX incompatible-> or to
U+2190LaTeX incompatible<-
U+2191/U+2193LaTeX incompatible^ v
U+2022Font-dependent- or *
U+2713May not render[x]
U+2717May not render[ ]
U+2605/U+25CFMay not render* -
©U+00A9May require packages(c)
®U+00AEMay require packages(r)
U+2122May require packages(tm)
é ñ üVariousFont-dependentUse xelatex or replace

Reusable Sanitization Script

Save this script for repeated use:

bash
#!/bin/bash
# sanitize_for_pdf.sh - Replace problematic unicode chars for LaTeX/PDF
set -e
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/↑/^/g' \
    -e 's/↓/v/g' \
    -e 's/•/-/g' \
    -e 's/✓/[x]/g' \
    -e 's/✗/[ ]/g' \
    -e 's/★/*/g' \
    -e 's/©/(c)/g' \
    -e 's/®/(r)/g' \
    -e 's/™/(tm)/g' \
    "$INPUT" > "$OUTPUT"

echo "Sanitized: $INPUT -> $OUTPUT"

Usage:

run_shell
command: chmod +x sanitize_for_pdf.sh && ./sanitize_for_pdf.sh /tmp/document_source.md /tmp/document_source_sanitized.md

Error Diagnosis Guide

Error: "unknown error" from run_shell

Diagnosis:

run_shell
command: pandoc --version 2>&1
run_shell
command: echo "test" | pandoc -f markdown -t plain 2>&1

If pandoc works in isolation, the issue is likely:

  • File path problems (use absolute paths)
  • Sandbox context issues (retry or use shell_agent)
  • Transient errors (retry the same command)

Error: "LaTeX not found" or "pdflatex: command not found"

Solutions in order:

  1. Try xelatex: --pdf-engine=xelatex
  2. Try wkhtmltopdf: --pdf-engine=wkhtmltopdf
  3. Install LaTeX: apt-get install texlive-latex-recommended texlive-fonts-recommended
  4. Use Python fpdf2 fallback (see Step 4, Method C)

Error: "Encoding error" or "Invalid UTF-8"

Solutions:

  1. Add UTF-8 flag: pandoc -f markdown+utf8
  2. Check file encoding: file -i source.md
  3. Re-save with explicit UTF-8:
    run_shell
    command: iconv -f UTF-8 -t UTF-8 source.md -o source_utf8.md
  4. Use sanitization step

Error: PDF generated but empty or garbled

Diagnosis:

run_shell
command: pdfinfo output.pdf 2>&1
execute_code_sandbox
code: |
  import fitz  # PyMuPDF
  doc = fitz.open('output.pdf')
  print(f'Pages: {doc.page_count}')
  if doc.page_count > 0:
      page = doc[0]
      print(f'Text: {page.get_text()[:200]}')

Solutions:

  1. Use xelatex engine with Unicode content
  2. Check sanitization step (if using pdflatex)
  3. Verify source markdown is valid

Error: DOCX file won't open or shows error

Diagnosis:

run_shell
command: unzip -l output.docx 2>&1 | head -10

Solutions:

  1. Add --reference-doc with valid template
  2. Ensure markdown syntax is valid
  3. Try pandoc verbose mode: pandoc -v input.md -o output.docx 2>&1

Workspace Troubleshooting

Files appearing in wrong directory

Diagnosis:

run_shell
command: pwd && find /tmp -name "*.docx" -o -name "*.pdf" 2>/dev/null | head -10

Solutions:

  1. Use absolute paths in all commands
  2. Explicitly change to target directory: cd /path/to/workspace && ...
  3. After generation, copy files to correct location:
    run_shell
    command: cp /tmp/output.docx ./output.docx

Permission denied errors

Solutions:

  1. Use /tmp directory for intermediate files
  2. Copy final output to target location
  3. Check disk space: df -h .

When to Use shell_agent vs Manual Workflow

SituationRecommended Approach
Simple DOCX generation, no special charsshell_agent (faster)
PDF with Unicode/symbolsManual workflow with sanitization
Multiple 'unknown error' failuresManual workflow with error capture
Need to debug conversion issuesManual workflow (visible steps)
Time-critical, simple formatshell_agent
Critical document, must succeedManual workflow with fallbacks

Alternative: Hybrid Approach

For reliability with less manual effort:

markdown
## Hybrid Workflow

1. **First attempt**: `shell_agent` with clear task description

2. **On first error**: Switch to manual workflow:
   - `write_file` for source
   - `run_shell` with error capture (2>&1)
   - Verify with explicit checks

3. **On repeated errors**: Use Python library fallback (execute_code_sandbox)

This balances speed with reliability.

Related Skills

  • workspace-path-troubleshooting: For diagnosing file location issues
  • pdf-verification-cli: For validating generated PDFs
  • write-file-fallback-report: For content-first document creation when web sources fail

Quick Reference Card

QUICK START: Generate Document in 3 Formats

1. Write source: write_file → /tmp/doc.md

2. Sanitize (PDF only): 
   Replace: — → --, "" → "", … → ...

3. Convert with error capture:
   DOCX: pandoc /tmp/doc.md -o out.docx 2>&1
   PDF:  pandoc /tmp/doc_sanitized.md --pdf-engine=xelatex -o out.pdf 2>&1
   HTML: pandoc /tmp/doc.md -o out.html 2>&1

4. Verify: ls -lh out.* && file out.*

5. If pandoc fails: Use execute_code_sandbox with fpdf2 or python-docx

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Document Gen Resilient Workflow AI skill do?

Robust document generation with engine fallback chain, error diagnostics, and Python alternatives

Why use Document Gen Resilient Workflow on TypingMind?

Because you install it once and use it with any model. Document Gen Resilient Workflow 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 Resilient Workflow 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. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Document Gen Resilient Workflow?

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 Resilient Workflow?

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

Is the Document Gen Resilient Workflow 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 👇