Legout Flowerpower Skill
- 2 repo stars
- Updated December 17, 2025
- legout/flowerpower-skill
legout-flowerpower-skill is a Claude Code plugin that helps you build, configure, and manage FlowerPower Hamilton pipelines with APScheduler or RQ.
About
legout-flowerpower-skill is a Claude Code plugin bundling skills for the FlowerPower workflow framework, which combines Hamilton for explicit data DAGs with APScheduler or RQ for scheduling and queue-backed execution. developers shipping APIs, internal tools, or small SaaS with batch or ETL workloads can install it so Claude Code speaks the same vocabulary when defining nodes, wiring dependencies, and operating workers. The canonical journey placement is Operate infra because the value peaks when pipelines must run reliably on a schedule or queue, though you will also use it during Build backend while authoring graphs and during Grow analytics when pipelines feed metrics. Expect intermediate complexity: you should already understand Python job scheduling concepts. This is a specialized automation plugin, not a general agent core or MCP integration catalog.
- Skills target FlowerPower: Hamilton DAGs combined with APScheduler and/or RQ
- Coverage themes: building, configuring, and managing data-processing pipelines
- Keyword set spans pipeline, scheduler, workflow, Hamilton, and data-processing
- Suited to backend and analytics-style solo products with recurring jobs
- Single-plugin bundle (1 plugin) focused on the FlowerPower framework
Legout Flowerpower Skill by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
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| repo stars | ★ 2 |
|---|---|
| Last updated | December 17, 2025 |
| Repository | legout/flowerpower-skill ↗ |
What it does
Install when you build or run FlowerPower data workflows with Hamilton graphs plus APScheduler or RQ scheduling in Claude-assisted sessions.
Who is it for?
Best when you're running Python data or backend jobs on FlowerPower and want agent help that matches Hamilton plus scheduler semantics.
Skip if: Pure frontend or no-code founders with no scheduled Python pipelines or interest in Hamilton.
What you get
After you add the plugin, Claude Code can follow FlowerPower patterns for DAG design, scheduler setup, and ongoing pipeline management.
- Agent-guided FlowerPower pipeline configuration patterns
- Scheduler and queue management prompts aligned to the framework
- Faster iteration on Hamilton graph structure without generic scheduling guesses
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FlowerPower workflow and scheduler skill plugin, not a generic NAT agents core pack or Shannon framework bundle.
FAQ
Who is Legout Flowerpower Skill for?
It is for developers using FlowerPower (Hamilton with APScheduler or RQ) who want Claude Code skills aligned to that stack.
When should I use Legout Flowerpower Skill?
Use it while implementing backend pipelines and when operating scheduled or queued jobs in production.
How do I add Legout Flowerpower Skill to my agent?
Install the plugin from legout/flowerpower-skill via Claude Code, ensure Python and your FlowerPower project are in the workspace, then enable the bundled skills for pipeline tasks.