Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
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Routes agents using or contributing to CrewAI, including crews, flows, CLI projects, tools, MCP, memory, RAG, LLM providers, observability, files, multimodal inputs, and repo development.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use this repo skill when the task involves CrewAI, the crewai Python package, the crewai CLI, official CrewAI tools, CrewAI Flows, memory/knowledge/RAG, multimodal file inputs, observability hooks, or contributing to the CrewAI monorepo.
Agent, Task, Crew, Process, kickoff modes, outputs, guardrails, callbacks, planning, reasoning, checkpoint basics, JSONC crew definitions, and direct-code crew design.Flow, @start, @listen, @router, state, routing labels, plotting, persistence, checkpointing, human feedback, event listeners, and event ordering.crewai create, JSON-first and classic project scaffolds, crewai run, train, test, replay, chat, deploy, uv, project templates, and CLI troubleshooting.crewai_tools, custom BaseTool or CrewStructuredTool work, MCP adapters, tool publishing, integration tools, optional packages, and credential boundaries.Memory, Knowledge, knowledge_sources, RAG loaders, embedding providers, vector stores, RagTool, and reset-memories behavior.LLM, provider model strings, API keys, base URLs, Azure/OpenAI-compatible/Anthropic/Bedrock/Google/Snowflake settings, streaming, tool calls, response models, custom LLMs, and LiteLLM migration.crewai-files, input_files, file source resolution, provider file constraints, multimodal agents, upload cache, and file/document tool adjacency.crewai create crew <name> unless the user is maintaining an existing classic Python/YAML crew or needs decorator-heavy customization.custom:<name> tools and {"python": "module.attribute"} JSONC references as trusted-code boundaries; inspect before running projects from untrusted sources.docs/edge/<lang>/...; do not edit docs/v*/ frozen snapshots or delete/rename docs/images/ assets outside release-freeze work.python scripts/check_crewai_environment.py --json reports installed CrewAI package versions, top-level import results, and CLI command names.python sub-skills/core-runtime/scripts/validate_crew_definition.py --help explains static JSONC crew checks without importing project custom code.python sub-skills/flows-and-events/scripts/validate_flow_graph.py --help explains static flow graph checks without calling kickoff().python sub-skills/cli-and-projects/scripts/inspect_crewai_cli.py --help explains CLI/project layout checks that avoid running crews or deploy/login flows.python sub-skills/repo-development/scripts/select_native_tests.py --help suggests focused maintainer checks from changed paths without running them.Run refresh-repo-skill before relying on this skill if the current CrewAI checkout has a different commit than Repository provenance, package versions or CLI entry points changed, docs/edge/en/ workflows changed materially, or major source roots such as lib/crewai/src/crewai, lib/cli/src/crewai_cli, lib/crewai-tools/src/crewai_tools, or lib/crewai-files/src/crewai_files moved.
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Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
中文简介正在准备中。当前显示原文说明。
Guide 3DDFA Python inference, geometry rendering, training/evaluation, and optional C++ ONNX workflows for 3D dense face alignment.
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Routes 3DDFA_V2 face-alignment setup, still-image demos, video tracking, and ONNX benchmarking workflows.
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Operate AB3DMOT 3D multi-object tracking workflows for KITTI and nuScenes data, tracking, evaluation, and visualization.
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Use Hugging Face Accelerate for PyTorch training-loop migration, distributed launch/configuration, DeepSpeed/FSDP/TPU backend setup, big-model inference/offload, checkpointing, tracking, and troubleshooting.
中文简介正在准备中。当前显示原文说明。
Route Acme reinforcement-learning framework tasks across core loops, replay/data, JAX agents, and TensorFlow/Sonnet agents.
中文简介正在准备中。当前显示原文说明。