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Stateful LLDB debugging via LLDB Python API

Xiaohongshu/RED-tuned short-form video workflow for raw voice-over, talking-head, tutorials, interviews, podcasts, long videos, screen recordings, B-roll, captions, and generated assets. Covers edit routing, project bootstrap, transcription, semantic transcript review, multi-take packs, audio sync, source-bound video stabilization, cleanup, highlights/shorts, hook/story rewrite, content/source gates, B-roll/enrich/gpt-image-2/video-generation planning, reference-frame/style-lock preflight, screen focus, PIP, color grade, local speed ramps, explicit J-cut/L-cut audio transitions, reversible edit revisions, portable edit-recipe export/replay, preflight/render/QA/audio master, source-time edit comparison, retention-rhythm, subtitle-readability, platform-safe-area and rendered-speech continuity QA, review proxies, subtitles, CapCut import, multi-platform and target-size delivery exports, cover A/B variants, captions, publish packages, dashboards, resume packets, EDL/FCPXML/OTIO, and Remoti

LangGraph 1.x (LTS) Python workflow patterns for state management, delta channels, resilience (node timeouts, error handlers, graceful drain), routing, parallel execution, supervisor-worker, tool calling, checkpointing, human-in-loop, streaming (v2 format), subgraphs, and functional API. Use when building LangGraph pipelines, multi-agent systems, or AI workflows.

Inspect the host operating system, Python runtime, and local files

Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).