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Advanced CLI tool for structured, pattern-based prompt optimization and state management
A powerful CLI tool for structured, pattern-based prompt optimization and state management.
# Install
pip install .
# Initialize
cliops init
# Optimize a prompt
cliops "Create a user authentication endpoint"
# Analyze a prompt
cliops analyze "Make this code better"
# List patterns
cliops patterns
pip install .
The installer will attempt to add the necessary directory to your system's PATH. Please restart your terminal after installation.
# Direct prompt optimization
cliops "Fix this bug in my React component"
# With specific pattern
cliops optimize "Refactor this function" --pattern precision_engineering
# Analyze prompt for improvements
cliops analyze "Create API endpoint"
# List available patterns
cliops patterns
# Manage state
cliops state set ARCHITECTURE "React + Node.js"
cliops state show
# Plugin management
cliops plugin list
cliops plugin create my_plugin
# Context-aware optimization
cliops "Create dashboard" --context "React + TypeScript"
# Dry run to preview
cliops "Test prompt" --dry-run
# Override specific fields
cliops "API task" --constraints "RESTful design" --output-format "JSON"
cliops uses YAML-based configuration with environment support:
# ~/.cliops/config.yaml
environment: production
logging:
level: INFO
optimization:
cache_enabled: true
default_pattern: adaptive_generation
performance:
memory_limit_mb: 512
Create custom plugins to extend cliops:
# Create plugin template
cliops plugin create my_plugin
# Edit the generated template
# ~/.cliops/plugins/my_plugin.py
# Enable plugin
cliops plugin enable my_plugin
python run_tests.py
MIT License
cliops is built with:
For detailed architecture documentation, visit cliops.fun/docs.
FAQs
Advanced CLI tool for structured, pattern-based prompt optimization and state management
We found that cliops demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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