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flower

Route Flower repository tasks for app authoring, strategies and mods, local simulation and deployment, Flower Datasets and examples, and repository maintenance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(31)

  • SKILL.md3.0 KB
  • references/repo-provenance.md1.6 KB
  • references/repo-routing-metadata.json418 B
  • references/troubleshooting.md4.9 KB
  • scripts/catalog_examples.py2.2 KB
  • scripts/check_flower_install.py5.7 KB
  • scripts/check_public_api.py2.8 KB
  • sub-skills/app-development/references/api-reference.md5.6 KB
  • sub-skills/app-development/references/troubleshooting.md3.3 KB
  • sub-skills/app-development/references/workflows.md3.9 KB
  • sub-skills/app-development/scripts/check_flower_app.py7.5 KB
  • sub-skills/app-development/SKILL.md1.7 KB
  • sub-skills/datasets-and-examples/references/api-reference.md6.5 KB
  • sub-skills/datasets-and-examples/references/troubleshooting.md4.5 KB
  • sub-skills/datasets-and-examples/references/workflows.md4.3 KB
  • sub-skills/datasets-and-examples/scripts/catalog_examples.py6.8 KB
  • sub-skills/datasets-and-examples/scripts/check_flwr_datasets.py3.1 KB
  • sub-skills/datasets-and-examples/SKILL.md1.5 KB
  • sub-skills/repository-maintenance/references/maintenance.md14.7 KB
  • sub-skills/repository-maintenance/references/troubleshooting.md9.0 KB
  • sub-skills/repository-maintenance/scripts/check_public_api.py8.0 KB
  • sub-skills/repository-maintenance/SKILL.md2.6 KB
  • sub-skills/simulation-and-deployment/references/cli-reference.md10.3 KB
  • sub-skills/simulation-and-deployment/references/troubleshooting.md3.2 KB
  • sub-skills/simulation-and-deployment/references/workflows.md5.3 KB
  • sub-skills/simulation-and-deployment/scripts/check_flwr_cli.py5.0 KB
  • sub-skills/simulation-and-deployment/SKILL.md2.1 KB
  • sub-skills/strategies-and-mods/references/api-reference.md2.4 KB
  • sub-skills/strategies-and-mods/references/troubleshooting.md2.6 KB
  • sub-skills/strategies-and-mods/references/workflows.md2.8 KB
  • sub-skills/strategies-and-mods/SKILL.md2.5 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Flower

Use this repo skill for the Flower ecosystem: the flwr framework, Flower Datasets, example app patterns, local simulation and deployment workflows, and repo-maintenance commands for the Flower checkout itself.

Start here

If you are trying to decide where a task belongs, route by intent:

  • App authoring and customization → sub-skills/app-development/
  • Strategies, aggregation, mods, and checkpoint-aware behavior → sub-skills/strategies-and-mods/
  • Local simulation, SuperLink/SuperNode, CLI, and deployment routing → sub-skills/simulation-and-deployment/
  • Flower Datasets and example app patterns → sub-skills/datasets-and-examples/
  • Contributor commands, public API exposure, protobufs, migrations, and docs → sub-skills/repository-maintenance/

Install and inspect

Work in an isolated Python 3.11 environment and install the Flower packages you need for the task.

  • For ordinary package use and inspection, install flwr and flwr-datasets.
  • For simulation or deployment workflows, add the documented optional runtime pieces only when the task actually needs them.
  • For maintainer tasks, use the repository's dev commands in the package-owned project directory rather than the runtime inspection environment.

A minimal smoke check is:

python -c "import flwr, flwr_datasets; print(flwr.__version__, flwr_datasets.__version__)"

For a more complete read-only smoke, run scripts/check_flower_install.py.

Useful runtime helpers

Read next

Package surfaces

The inspected runtime packages expose these public roots:

  • flwr → app, clientapp, serverapp, agentapp
  • flwr_datasets → FederatedDataset, partitioner, preprocessor, metrics, utils, visualization

The sub-skills contain the detailed API notes, workflows, and troubleshooting for each workflow family.

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