skills/adonaivera/fiftyone-develop-plugin/SKILL.md
Develop custom FiftyOne plugins (operators and panels) from scratch. Use when user wants to create a new plugin, extend FiftyOne with custom operators, build interactive panels, or integrate external APIs into FiftyOne. Guides through requirements, design, coding, testing, and iteration.
npx skillsauth add aiskillstore/marketplace fiftyone-develop-pluginInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Create custom FiftyOne plugins with full lifecycle support: requirements gathering, code generation, local testing, and iterative refinement.
Use this skill when:
pip install fiftyone)ALWAYS follow these rules:
Ask clarifying questions. Never assume what the plugin should do.
Present file structure and design. Get user approval before generating code.
list_plugins(enabled=True)
list_operators(builtin_only=False)
get_operator_schema(operator_uri="@voxel51/brain/compute_similarity")
Install plugin and verify it works in FiftyOne App.
Refine until the plugin works as expected.
Ask these questions:
@org/plugin-name)See PLUGIN-STRUCTURE.md for file formats.
Create these files:
| File | Required | Purpose |
|------|----------|---------|
| fiftyone.yml | Yes | Plugin manifest |
| __init__.py | Yes | Python operators/panels |
| requirements.txt | If deps | Python dependencies |
| package.json | JS only | Node.js metadata |
| src/index.tsx | JS only | React components |
Reference docs:
# Find plugins directory
python -c "import fiftyone as fo; print(fo.config.plugins_dir)"
# Copy plugin
cp -r ./my-plugin ~/.fiftyone/plugins/
# Verify detection
python -c "import fiftyone as fo; print(fo.plugins.list_plugins())"
Test in App:
launch_app(dataset_name="test-dataset")
# Press Cmd/Ctrl + ` to open operator browser
# Search for your operator
| Type | Language | Use Case | |------|----------|----------| | Operator | Python | Data processing, computations | | Panel | Python | Simple interactive UI | | Panel | JavaScript | Rich React-based UI |
| Option | Effect |
|--------|--------|
| dynamic=True | Recalculate inputs on change |
| execute_as_generator=True | Stream progress |
| allow_delegated_execution=True | Background execution |
| unlisted=True | Hide from browser |
| Type | Method |
|------|--------|
| Text | inputs.str() |
| Number | inputs.int() / inputs.float() |
| Boolean | inputs.bool() |
| Dropdown | inputs.enum() |
| File | inputs.file() |
| View | inputs.view_target() |
fiftyone.yml:
name: "@myorg/hello-world"
type: plugin
operators:
- hello_world
init.py:
import fiftyone.operators as foo
import fiftyone.operators.types as types
class HelloWorld(foo.Operator):
@property
def config(self):
return foo.OperatorConfig(
name="hello_world",
label="Hello World"
)
def resolve_input(self, ctx):
inputs = types.Object()
inputs.str("message", label="Message", default="Hello!")
return types.Property(inputs)
def execute(self, ctx):
print(ctx.params["message"])
return {"status": "done"}
def register(p):
p.register(HelloWorld)
Plugin not appearing:
fiftyone.yml exists in plugin root~/.fiftyone/plugins/Operator not found:
fiftyone.ymlregister() functionlist_operators() to debugSecrets not available:
fiftyone.yml under secrets:Copyright 2017-2025, Voxel51, Inc. Apache 2.0 License
development
Apple Human Interface Guidelines for content display components. Use this skill when the user asks about charts component, collection view, image view, web view, color well, image well, activity view, lockup, data visualization, content display, displaying images, rendering web content, color pickers, or presenting collections of items in Apple apps. Also use when the user says how should I display charts, what's the best way to show images, should I use a web view, how do I build a grid of items, what component shows media, or how do I present a share sheet. Cross-references: hig-foundations for color/typography/accessibility, hig-patterns for data visualization patterns, hig-components-layout for structural containers, hig-platforms for platform-specific component behavior.
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testing
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GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully.