1. Software Development

Automates project environment setup with wrapper scripts and Nix flakes for consistent development configurations.

Provides step-by-step guidance for writing database queries using SQLAlchemy, a Python ORM library for efficient database interactions.

Provides best practices for writing effective unit and integration tests in backend development workflows.

Guidelines for writing clear and effective Git commit messages to maintain a clean version history and improve team collaboration.

Provides step-by-step instructions for defining and implementing custom color variables in CSS for consistent styling across projects.

Generates unit and integration tests for Prompture features following pytest standards, including shared fixtures and marker patterns.

Automates creation of a new LLM provider driver in Prompture, including class generation, registry registration, and configuration setup.

Creates new Prompture example scripts adhering to project conventions for file structure, docstrings, and output formatting to demonstrate extraction use cases or provider integrations.

Automates updating LLM model pricing data in codebase by checking provider pages and maintaining MODEL_PRICING dictionaries for new and discontinued models.

Executes Prompture's test suite using pytest with configurable modes for unit, integration, and debugging.

Creates complete code scaffolds for data extraction pipelines with Pydantic models, field definitions, example scripts, and tests for domains like medical records or invoices.

Syncs a feature branch with main by fetching, rebasing, and resolving conflicts to maintain up-to-date code.

Adds reusable field definitions to the Prompture registry with support for structure, categories, enums, and thread-safe registration for prompt extraction.

Initializes Trigger.dev configuration for event-driven workflows, generating trigger.config.ts and setting up project directory structure.

Enables real-time subscription to Trigger.dev task runs for frontend and backend, facilitating progress indicators, live dashboards, and streaming responses in applications.

Compares current branch changes to main branch for code quality assessment, identifying potential issues and improvements.

Provides interactive access to Smalltalk environments (Cuis/Squeak) for code evaluation, class browsing, and method inspection.

Interacts with live Smalltalk (Cuis/Squeak) for code evaluation, class browsing, and method source inspection.

Assists in building Ethereum dApps and smart contracts via Scaffold-ETH 2 with real protocol state testing using fork mode.

Automates Git worktree creation for isolated development environments, handling branch naming and dependency setup.

Executes development tasks by leveraging GitHub Issue content and git worktree for isolated, efficient code changes.

Generates implementation plans and creates GitHub Issues from task requirements for efficient development tracking.

Automates resolution of code review comments on specified Git branches, accelerating development cycles.

Automates Git commit and push with squash strategy for clean history, ideal for code completion and user requests.