Sister Script

Document-first development. Automate only what’s proven.

The document is the source of truth. Scripts are its children.

[!TIP] LIFT stage of play-learn-lift. Proven procedures become automation.

The Pattern

graph TD
    D[📄 Document] -->|manual test| C[💻 Commands]
    C -->|document| P[📋 Procedure]
    P -->|automate| S[🤖 Sister Script]
    S -->|improve| D

1. Start with natural language (PLAY)
2. Add manual commands (PLAY/LEARN)
3. Document working procedures (LEARN)
4. Generate automation (LIFT)

Bidirectional Evolution

• Document → Script: Proven procedures become automated
• Script → Document: Automation insights improve docs

Contents

The Intertwingularity

Sister-script is the LIFT stage of play-learn-lift — automate proven patterns.

graph LR
    SS[👯 sister-script] -->|LIFT stage of| PLL[🎮📚🚀 play-learn-lift]
    SS -->|automates| DOC[📄 documents]
    SS -->|produces| CODE[🤖 scripts]
    
    RN[📓 research-notebook] -->|feeds| SS
    SL[📜 session-log] -->|source for| SS

Sniffable Python: The Structure

Sister scripts should follow sniffable-python/ conventions:

#!/usr/bin/env python3
"""tool-name: One-line description.

Docstring becomes --help AND is visible to LLM.
"""

import argparse

def main():
    """CLI structure — sniff this to understand the tool."""
    parser = argparse.ArgumentParser(description=__doc__.split('\n')[0])
    # ... CLI tree here ...
    args = parser.parse_args()
    _dispatch(args)

# Implementation below the fold

Why sniffable Python for sister scripts?

• LLM can read main() and understand the CLI
• Human can run --help for the same info
• Single source of truth for documentation
• One sniff and you smell success

Dovetails With

Sister Skills

Protocol Symbols

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