Python asyncio - Modern concurrent programming with async/await, event loops, tasks, coroutines, primitives, aiohttp, and FastAPI async patterns
Quellsprache: Englisch
Menü
SkillsMP hat 18 Skills aus bobmatnyc/terminator gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 18 von 18 gesammelten Skills angezeigt.
Python asyncio - Modern concurrent programming with async/await, event loops, tasks, coroutines, primitives, aiohttp, and FastAPI async patterns
Quellsprache: Englisch
mypy - Static type checker for Python with gradual typing, strict mode, Protocol support, and framework integration
Quellsprache: Englisch
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.
Quellsprache: Englisch
Essential Git patterns for effective version control, eliminating redundant Git guidance per agent.
Quellsprache: Englisch
Use git worktrees for parallel development on multiple branches simultaneously
Quellsprache: Englisch
Create and manage stacked (dependent) pull requests for complex features
Quellsprache: Englisch
Safe patterns for evolving database schemas in production with decision trees and troubleshooting guidance.
Quellsprache: Englisch
CI security scanning: secrets, deps, SAST, triage, expiring exceptions
Quellsprache: Nicht bestimmbar
Comprehensive TDD patterns and practices for all programming languages, eliminating redundant testing guidance per agent.
Quellsprache: Englisch
Best practices for documenting APIs and code interfaces, eliminating redundant documentation guidance per agent.
Quellsprache: Englisch
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…
Quellsprache: Englisch
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.
Quellsprache: Englisch
LangGraph framework for building stateful, multi-agent AI applications with cyclical workflows, human-in-the-loop patterns, and persistent checkpointing.
Quellsprache: Englisch
MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
Quellsprache: Englisch
AI session compression techniques for managing multi-turn conversations efficiently through summarization, embedding-based retrieval, and intelligent context management.
Quellsprache: Englisch
pytest - Python's most powerful testing framework with fixtures, parametrization, plugins, and framework integration for FastAPI, Django, Flask
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch