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scratch-pad

Markdown-based working memory for complex tasks. Use when: 5+ tool calls needed, researching multiple sources, analyzing/comparing items, multi-step workflows. Record process β†’ Reference for response β†’ Delete after use

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SKILL.md
name
scratch-pad
description
|
Markdown-based working memory for complex tasks. Use when
5+ tool calls needed, researching multiple sources,

Scratch Pad - Markdown-Based Task Memory

Simple markdown file for tracking progress during complex tasks. All content is directly written to a .md file for immediate use.

Quick Start

# Initialize scratch pad python scripts/scratch_pad.py init "Task Name" # Add content python scripts/scratch_pad.py append "Finding: The analysis shows..." # Log tool calls python scripts/scratch_pad.py log-tool "web_search" '{"query": "AI trends"}' "Found 10 results" # Read current content python scripts/scratch_pad.py read

Core Commands

Basic Operations

# Start new task python scripts/scratch_pad.py --file /path/to/scratch.md init "Task Name" # Add any content python scripts/scratch_pad.py append "Content to add..." # Add section header python scripts/scratch_pad.py section "Research Findings" # Read entire pad python scripts/scratch_pad.py read

Structured Logging

# Log tool execution python scripts/scratch_pad.py log-tool "tool_name" '{"param": "value"}' "result text" # Add finding python scripts/scratch_pad.py finding "Important discovery" --category "Analysis" # Add checkpoint python scripts/scratch_pad.py checkpoint "Phase 1 Complete" # Add TODO python scripts/scratch_pad.py todo "Follow up on this" python scripts/scratch_pad.py todo "Completed task" --done # Mark complete python scripts/scratch_pad.py complete

When to Use

ALWAYS use for:

  • Tasks with 5+ tool calls
  • Multi-source research ("μ‘°μ‚¬ν•΄μ€˜")
  • Comparative analysis ("λΉ„κ΅ν•΄μ€˜")
  • Information synthesis ("μ •λ¦¬ν•΄μ€˜")
  • Step-by-step processing

Integration Pattern

# 1. Initialize at task start SCRATCH_FILE="FILESYSTEM_BASE_DIR/files/{channel_id}/tmp/scratch_{timestamp}.md" python scripts/scratch_pad.py --file $SCRATCH_FILE init "User request summary" # 2. Log each tool call python scripts/scratch_pad.py --file $SCRATCH_FILE log-tool "mcp__perplexity__search" '{"query": "..."}' # Execute tool... python scripts/scratch_pad.py --file $SCRATCH_FILE append "Result: Found X relevant items" # 3. Add findings python scripts/scratch_pad.py --file $SCRATCH_FILE finding "Key insight from research" # 4. Read content for reference (DO NOT include raw content in response) CONTENT=$(python scripts/scratch_pad.py --file $SCRATCH_FILE read) # Use $CONTENT as reference to write organized response in mcp__slack__answer # 5. Clean up (REQUIRED) rm $SCRATCH_FILE

Important:

  • The scratch pad is for YOUR reference only
  • DO NOT copy/paste the raw markdown into responses
  • USE it to organize and write a proper answer
  • ALWAYS delete the scratch file after use

Output Format

The markdown file is structured for easy reading:

# πŸ“‹ Task Name **Created:** 2025-11-05 10:00:00 **Status:** πŸ”„ In Progress --- ## πŸ“ Task Overview Task: Research competitor products Started: 2025-11-05 10:00:00 --- ## Research Findings (10:05:23) [10:05:30] Found 3 main competitors... ### πŸ”§ [10:06:15] Tool: web_search **Parameters:** ```json { "query": "competitor analysis" }

Result:

Found 10 relevant results

βœ… Checkpoint: Initial Research Complete

Time: 10:15:00 Gathered basic information on all competitors



## Best Practices

1. **Use descriptive section headers** - Makes content easy to navigate
2. **Log tools immediately** - Capture parameters before execution
3. **Add findings as you go** - Don't wait until the end
4. **Use checkpoints** - Mark major milestones
5. **Reference, don't copy** - Use scratch pad as reference for organized response
6. **Always clean up** - Delete scratch files after task completion
7. **Keep it concise** - Focus on key information for YOUR reference

## Module Usage

```python
from scripts.scratch_pad import ScratchPadManager

# Initialize
manager = ScratchPadManager('/tmp/task.md')
manager.init("Complex Analysis Task")

# Add content
manager.add_section("Research Phase")
manager.append("Starting research on topic X...")

# Log tool
manager.log_tool("web_search", {"query": "topic X"}, "10 results found")

# Add finding
manager.add_finding("Topic X is growing 50% annually", "Market Trends")

# Read content
content = manager.read()

# Mark complete
manager.complete()

File Management

  • Location: Always in FILESYSTEM_BASE_DIR/files/{channel_id}/tmp/
  • Naming: scratch_{timestamp}.md or scratch_{task_id}.md
  • Cleanup: Delete after task completion
  • Size limit: Keep under 1MB for performance

Why Markdown?

  • βœ… Human-readable format
  • βœ… No JSON parsing overhead
  • βœ… Direct append operations
  • βœ… Easy to include in responses
  • βœ… Can be viewed/edited manually
  • βœ… Natural structure for documentation
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