| name | Data Labeling Workflow |
| author | labelai |
| version | 1.0.0 |
| type | workflow |
| category | Machine Learning |
| license | MIT |
| description | Creates data labeling workflows with annotation guidelines, quality control, and active learning |
| tags | ["workflow","machine-learning","ai","automation"] |
| models | ["gpt-4o","claude-3.5-sonnet","gemini-1.5-pro"] |
| parameters | {"temperature":{"type":"number","default":0.7,"min":0,"max":2,"description":"Controls randomness in output generation"},"max_tokens":{"type":"integer","default":4096,"min":256,"max":16384,"description":"Maximum number of tokens to generate"},"streaming":{"type":"boolean","default":false,"description":"Enable streaming output"}} |
| inputs | {"query":{"type":"string","required":true,"description":"Primary input for the skill"},"context":{"type":"object","required":false,"description":"Additional context for processing"}} |
| outputs | {"result":{"type":"string","description":"Primary output from the skill"},"metadata":{"type":"object","description":"Execution metadata including tokens used and latency"}} |
Data Labeling Workflow
Creates data labeling workflows with annotation guidelines, quality control, and active learning
Usage
This skill can be used standalone or as part of an Agent workflow on SkillsHub.
Standalone
skillshub run labelai/Data-Labeling-Workflow --input "Your query here"
In Agent
Add this skill to your Agent configuration to enable its capabilities.
