Skip to content
cccskills
FreePublished on GitHub

flower

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

The English summary is being prepared. Showing the original description.

See how to install

Files included (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 (original)

Review the instructions the agent will receive before you install.

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.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill340Updated Sep 3, 2026

3ddfa

Free

Guide 3DDFA Python inference, geometry rendering, training/evaluation, and optional C++ ONNX workflows for 3D dense face alignment.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill340Updated Sep 3, 2026

Routes 3DDFA_V2 face-alignment setup, still-image demos, video tracking, and ONNX benchmarking workflows.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill340Updated Sep 3, 2026

Operate AB3DMOT 3D multi-object tracking workflows for KITTI and nuScenes data, tracking, evaluation, and visualization.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill340Updated Sep 3, 2026

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.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill340Updated Sep 3, 2026

acme

Free

Route Acme reinforcement-learning framework tasks across core loops, replay/data, JAX agents, and TensorFlow/Sonnet agents.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill340Updated Sep 3, 2026

See all skills by VectorSpaceLab

Report a problem with this skill