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write-file-fallback-report

Create a structured Markdown report when multiple retrieval tools fail. Using available domain knowledge, the workflow separates verified facts from general guidance, marks missing data, and saves a document with limitations and practical next steps.

OriginalShow the original description

Generate professional documents using write_file when primary data sources fail, leveraging embedded domain knowledge instead of external retrieval

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Good for

  • Drafting a report when search and file reading fail
  • Organizing general guidance into a structured document
  • Marking missing data for later completion
  • Documenting limitations and practical next steps

Files included (2)

  • SKILL.md4.5 KB
  • .skill_id40 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

Write-File Fallback Report Generation

When to Use This Skill

Use this workflow when attempting to generate a document or report, but multiple primary data source tools fail simultaneously:

  • read_file returns binary/image data instead of text (common with PDFs)
  • search_web returns errors or no results
  • execute_code_sandbox fails unexpectedly
  • Other data retrieval tools are unavailable

Key insight: Rather than getting stuck on failed data retrieval, pivot immediately to generating the document directly with write_file using professionally structured content and embedded domain knowledge.

Step-by-Step Instructions

Step 1: Detect Tool Failure Pattern

Recognize when you're in a fallback scenario:

TOOL_FAILURE_INDICATORS = [
    "read_file returns binary or image data",
    "search_web returns unknown error or empty results",
    "execute_code_sandbox fails repeatedly",
    "Multiple consecutive tool failures on data retrieval"
]

Decision point: If 2+ indicators are present, proceed to Step 2.

Step 2: Pivot to Write-File-First Approach

Stop attempting to fix the failing tools. Instead:

  1. Acknowledge the limitation briefly in your output
  2. Commit to generating the document with available knowledge
  3. Use write_file as your primary tool (not a last resort)

Step 3: Structure the Document Professionally

Create a well-organized markdown document with:

# [Document Title]

## Executive Summary
[Brief overview of key findings/content]

## Background
[Context and scope - use embedded knowledge]

## Main Content
[Organized sections with headers, lists, tables as appropriate]

## Limitations & Notes
[Transparent about data source limitations if relevant]

## Recommendations/Next Steps
[Actionable guidance based on available information]

Step 4: Leverage Embedded Domain Knowledge

When external data is unavailable:

  • Use general domain knowledge appropriately
  • Clearly distinguish between verified facts and general guidance
  • Include actionable frameworks rather than specific unverified data
  • Add placeholder notes where specific data would enhance the document

Example:

> **Note**: Specific [metric/data point] would typically be sourced from 
> [expected source]. The guidance below reflects established best practices 
> in this domain.

Step 5: Execute and Validate

# Example execution pattern
write_file(
    path="output/report.md",
    content=professionally_structured_markdown
)
# Verify the file was created successfully
list_dir(path=".")  # Confirm file exists

Code Example

# Detection and pivot pattern
def detect_and_pivot(task_goal):
    # After detecting tool failures:
    
    report_content = f"""# {task_goal} Report

## Executive Summary
This report was generated using established domain knowledge due to 
temporary unavailability of primary data sources.

## Key Frameworks and Guidance
[Structured content with headers, bullets, tables]

## Limitations
- Specific data points from [expected sources] were unavailable
- Recommendations based on general best practices

## Action Items
1. [Concrete step 1]
2. [Concrete step 2]
"""
    
    write_file(path="generated_report.md", content=report_content)
    return "Report generated successfully with embedded knowledge"

Best Practices

DoDon't
Pivot quickly after 2+ tool failuresKeep retrying failing tools 5+ times
Be transparent about limitationsClaim unverified specifics as facts
Provide actionable frameworksLeave the task incomplete
Use professional document structureOutput unstructured text walls
Include next-step recommendationsEnd without clear guidance

Common Pitfalls

  1. Over-apologizing: Acknowledge limitations once, then deliver value
  2. Under-delivering: A well-structured partial report beats no report
  3. Misrepresenting certainty: Use appropriate hedging language
  4. Skipping structure: Professional formatting increases usability

Success Criteria

The skill is successfully applied when:

  • Document is generated despite tool failures
  • Content is professionally structured (headers, sections, lists)
  • Limitations are transparently noted
  • Actionable guidance is provided
  • File is successfully created and verified

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