python-cli
Python CLI
What I Do
Provide universal patterns for developing command-line interfaces in Python that work across different projects and domains.
Universal CLI Architecture
Framework Selection
Recommended Frameworks:
- Typer: For simple, type-annotated CLIs
- Click: For more complex CLI applications
- Argparse: For standard library compatibility
# Universal Typer CLI structure
import typer
More from jr2804/prompts
python-ultimate
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35output-quality
Detect and eliminate generic, low-quality "AI slop" patterns in natural language, code, and design. Use when REVIEWING existing content (text, code, or visual designs) for quality issues, cleaning up generic patterns, or establishing quality standards. Focuses on pattern detection—not content creation.
11coding-discipline
Language-agnostic behavioral guidelines to reduce common LLM coding mistakes. Use for ANY coding task (all languages) to avoid overcomplication, make surgical changes, surface assumptions before coding, and define verifiable success criteria. Applies behavioral rigor—separate from language-specific technical standards.
10code-deduplication
Pre-write workflow to prevent semantic code duplication. Use BEFORE creating new utility functions, shared modules, or helper code to verify equivalent capabilities don't already exist in the codebase. Requires maintaining CODE_INDEX.md as a capability index organized by purpose (not file location).
6cli-vstash
Local document memory with semantic search for AI-assisted workflows. Use when managing project documentation, codebases, or research papers that need persistent memory across sessions. Triggers on: vstash add/search/ask commands, document ingestion, semantic search, RAG pipelines, local knowledge bases, or configuring vstash for personal projects.
5mcp-vstash
MCP server integration for vstash document memory. Use when configuring Claude Desktop or other MCP-compatible AI assistants with persistent document memory, setting up vstash MCP tools for semantic search and Q&A, or integrating vstash with AI assistant workflows via Model Context Protocol.
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