skills/smithery.ai/blossom-operator-generator

blossom-operator-generator

Installation
SKILL.md

Blossom Operator Generator

Overview

Use this skill to create consistent Blossom operators that follow existing patterns and integrate cleanly with Context, Provider, DataFrame, and Schema.

Workflow

  1. Clarify intent and schema
  • Identify schema type (ChatSchema, TextSchema, CustomSchema, or generic Schema).
  • Decide whether the operator is map, filter, transform, metric filter, or DataFrame-level.
  • Capture output location (mutate content, add metadata, or replace messages).
  1. Choose the right base class
  • Use MapOperator for one-to-one transforms and failed-item skipping.
  • Use FilterOperator for boolean keep/drop with reverse support.
  • Use TransformOperator for batch-level transforms.
  • Use MetricFilterOperator when you must compute per-item metrics once and cache them.
  • Use Operator only when you need DataFrame-level behavior.
Installs
1
First Seen
Apr 6, 2026
blossom-operator-generator from smithery.ai