本文へ移動
cccskills
無料GitHub で公開

agent-starter-pack

Routes Agent Starter Pack tasks to the right workflow for creating, maintaining, and deploying generated agent projects.

インストール方法を見る

含まれるファイル(23)

  • SKILL.md2.6 KB
  • references/cli-reference.md2.4 KB
  • references/package-overview.md2.0 KB
  • references/repo-provenance.md677 B
  • references/repo-routing-metadata.json508 B
  • references/template-catalog.md2.4 KB
  • references/troubleshooting.md2.7 KB
  • scripts/check_agent_starter_pack.py3.3 KB
  • sub-skills/deployment-ops/references/ci-cd-reference.md1.8 KB
  • sub-skills/deployment-ops/references/data-ingestion.md1.3 KB
  • sub-skills/deployment-ops/references/gemini-enterprise.md1.3 KB
  • sub-skills/deployment-ops/references/generated-project-commands.md1.6 KB
  • sub-skills/deployment-ops/references/observability.md1.2 KB
  • sub-skills/deployment-ops/references/troubleshooting.md1.7 KB
  • sub-skills/deployment-ops/references/workflows.md2.1 KB
  • sub-skills/deployment-ops/SKILL.md3.0 KB
  • sub-skills/project-maintenance/references/troubleshooting.md2.1 KB
  • sub-skills/project-maintenance/references/workflows.md2.7 KB
  • sub-skills/project-maintenance/SKILL.md2.3 KB
  • sub-skills/project-scaffolding/references/remote-templates.md2.3 KB
  • sub-skills/project-scaffolding/references/troubleshooting.md1.7 KB
  • sub-skills/project-scaffolding/references/workflows.md2.3 KB
  • sub-skills/project-scaffolding/SKILL.md3.0 KB

SKILL.md(原文)

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。

Agent Starter Pack

Use this repo skill for the agent-starter-pack Python package and CLI. It helps future agents choose templates, generate projects, maintain generated output, and wire projects into deployment and Gemini Enterprise workflows.

First check

If you only need to confirm that the package is installed and importable, use the bundled helper first:

python scripts/check_agent_starter_pack.py

For a quick command discovery check, also run:

agent-starter-pack --help

Route map

User intentGo here
Create a new project, compare templates, or parse a remote templatesub-skills/project-scaffolding/SKILL.md
Enhance, extract, or upgrade an existing generated projectsub-skills/project-maintenance/SKILL.md
Set up CI/CD, deploy a generated project, inspect observability, configure data ingestion, or register with Gemini Enterprisesub-skills/deployment-ops/SKILL.md

Read these shared references

  • references/package-overview.md for package identity, install guidance, and the command family map.
  • references/cli-reference.md for the command-to-subskill mapping.
  • references/template-catalog.md for the built-in agent/template list.
  • references/troubleshooting.md for cross-cutting install, import, and CLI issues.
  • references/repo-provenance.md for the source snapshot used to build this skill.

How to navigate

  1. Identify whether the user is starting from a blank slate or an existing project.
  2. Decide whether the question is about template selection, project maintenance, or cloud deployment.
  3. Read the owning sub-skill’s workflow reference before giving command details.
  4. If the user asks about a cloud prerequisite or generated Makefile target, switch to deployment-ops instead of staying in the root router.

What this skill is not

  • It is not a runtime agent framework.
  • It is not a source-repo maintenance guide for the ASP checkout itself.
  • It does not import or execute the generated skill here.

Safety notes

  • Generated projects can vary by language, deployment target, and template family.
  • Remote templates and cloud setup may require network or credentials; do not treat those as default-safe checks.
  • Do not assume the same commands exist in every generated project; use the template catalog and generated-project references to confirm.

レビュー

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。

同じリポジトリのスキル

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。

VectorSpaceLab/AREX-Skill3322026年9月3日 更新

3ddfa

無料

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。

VectorSpaceLab/AREX-Skill3322026年9月3日 更新

3ddfa-v2

無料

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。

VectorSpaceLab/AREX-Skill3322026年9月3日 更新

ab3dmot

無料

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。

VectorSpaceLab/AREX-Skill3322026年9月3日 更新

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。

VectorSpaceLab/AREX-Skill3322026年9月3日 更新

acme

無料

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。

VectorSpaceLab/AREX-Skill3322026年9月3日 更新

VectorSpaceLab のスキルをすべて見る

このスキルの問題を報告する