terminator

Python asyncio - Modern concurrent programming with async/await, event loops, tasks, coroutines, primitives, aiohttp, and FastAPI async patterns

mypy - Static type checker for Python with gradual typing, strict mode, Protocol support, and framework integration

Python data validation using type hints and runtime type checking with Pydantic v2's Rust-powered core for high-performance validation in FastAPI, Django, and configuration management.

Essential Git patterns for effective version control, eliminating redundant Git guidance per agent.

Use git worktrees for parallel development on multiple branches simultaneously

Create and manage stacked (dependent) pull requests for complex features

Safe patterns for evolving database schemas in production with decision trees and troubleshooting guidance.

CI security scanning: secrets, deps, SAST, triage, expiring exceptions

Comprehensive TDD patterns and practices for all programming languages, eliminating redundant testing guidance per agent.

Best practices for documenting APIs and code interfaces, eliminating redundant documentation guidance per agent.

DSPy declarative framework for automatic prompt optimization treating prompts as code with systematic evaluation and compilers. Use when optimizing prompts systematically, building production LLM systems, implementing RAG/classification tasks, or requiring version-controlled reproducible prompts.

LangChain LLM application framework with chains, agents, RAG, and memory for building AI-powered applications. Use when implementing RAG (Retrieval Augmented Generation), creating AI agents with tools, or chaining multiple LLM calls.

LangGraph framework for building stateful, multi-agent AI applications with cyclical workflows, human-in-the-loop patterns, and persistent checkpointing.

MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.

AI session compression techniques for managing multi-turn conversations efficiently through summarization, embedding-based retrieval, and intelligent context management.

pytest - Python's most powerful testing framework with fixtures, parametrization, plugins, and framework integration for FastAPI, Django, Flask

Systematic debugging methodology emphasizing root cause analysis over quick fixes. Use when debugging complex issues, investigating production failures, or avoiding symptom-based patches in favor of understanding underlying problems.

Test quality inspection framework for reviewing test coverage, identifying gaps, and ensuring comprehensive validation. Use when reviewing test suites, performing QA inspections, or establishing testing quality standards.