Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
日本語の概要は準備中です。原文の説明を表示しています。
Use Atomic Agents to build schema-driven agents, integrate tools and MCP connectors, adapt example applications, and maintain the monorepo safely.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Use this skill when a task mentions Atomic Agents, atomic-agents, atomic-assembler, Atomic Forge, MCP connectors, the example projects, or editing this repository.
references/package-summary.md for the monorepo map, package names, and core terminology.references/repo-provenance.md before deciding whether this skill matches the current checkout or needs refresh.references/troubleshooting.md for cross-cutting install, import, CLI, and version-mismatch issues.pip install atomic-agentsuv sync or pip install -e .python -c "import atomic_agents, atomic_assembler; print(atomic_agents.__version__)"atomic --help| User task | Use subskill | Why |
|---|---|---|
Build, run, stream, or debug a typed AtomicAgent with schemas, history, prompts, hooks, token counting, or multimodal content | sub-skills/agent-core/SKILL.md | Owns the core agent API, memory, context providers, hooks, and the fundamental schema contract. |
Define tools/resources/prompts, reason about Atomic Forge tool families, use the atomic CLI, or adapt tool-selection patterns | sub-skills/tooling-and-forge/SKILL.md | Owns BaseTool, BaseResource, BasePrompt, Atomic Forge, Atomic Assembler, and tool orchestration surfaces. |
| Connect to MCP servers or troubleshoot dynamic MCP-generated tools, resources, and prompts | sub-skills/mcp-integrations/SKILL.md | Owns the MCP transport, schema transformation, and generated tool/resource/prompt factory surface. |
Adapt a concrete example project such as quickstart, multimodal, RAG, orchestration, memory, hooks, YouTube, DSPy, FastAPI, progressive disclosure, or mcp-agent | sub-skills/example-workflows/SKILL.md | Owns the example catalog, dependencies, and recipe-level guidance. |
| Modify this checkout, run focused tests, update docs, or reason about release/CI behavior | sub-skills/repo-development/SKILL.md | Owns monorepo development commands, packaging conventions, docs checks, and maintainer workflow guidance. |
references/repo-routing-metadata.json records the router metadata consumed during import into the repo-skills router.scripts/check_atomic_agents_env.py performs a safe import/version/CLI smoke check.references/ and scripts/ for workflow-specific guidance.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
日本語の概要は準備中です。原文の説明を表示しています。
Guide 3DDFA Python inference, geometry rendering, training/evaluation, and optional C++ ONNX workflows for 3D dense face alignment.
日本語の概要は準備中です。原文の説明を表示しています。
Routes 3DDFA_V2 face-alignment setup, still-image demos, video tracking, and ONNX benchmarking workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Operate AB3DMOT 3D multi-object tracking workflows for KITTI and nuScenes data, tracking, evaluation, and visualization.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Route Acme reinforcement-learning framework tasks across core loops, replay/data, JAX agents, and TensorFlow/Sonnet agents.
日本語の概要は準備中です。原文の説明を表示しています。