Agent skill · Workflow & Productivity

synapse-specialized-actions

Explains specialized Synapse action classes for specific workflows. Use when the user mentions "BaseTrainAction", "BaseExportAction", "BaseUploadAction", "BaseInferenceAction", "BaseDeploymentAction", "AddTaskDataAction", "train action", "export action", "upload action", "inference action", "deployment action", "pre-annotation", "add_task_data", "autolog", "get_dataset", "create_model", or needs workflow-specific action development help.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill specialized-actions --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Path: skills/ai-ml/specialized-actions/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Specialized Action Classes Synapse SDK provides specialized base classes for common ML workflows. Each extends `BaseAction` with workflow-specific helper methods and default settings. ## Available Specialized Actions | Class | Category | Purpose | |-------|----------|---------| | `BaseTrainAction` | `NEURAL_NET` | Training models | | `BaseExportAction` | `EXPORT` | Exporting data | | `BaseUploadAction` | `UPLOAD` | Uploading files | | `BaseInferenceAction` | `NEURAL_NET` | Running inference | | `BaseDeploymentAction` | - | Ray Serve deployment | | `AddTaskDataAction` | `PRE_ANNOTATION` | Pre-annotation workflows | ## Quick Comparison ```python # Training - autolog, get_dataset, create_model class TrainAction(BaseTrainAction[TrainParams]): def execute(self) -> dict: self.autolog('ultralytics') # Auto-log metrics dataset = self.get_dataset() # ... train ... return self.create_model('./model.pt') # Export - get_filtered_results class ExportAction(BaseExportAction[ExportParams]): def get_filtered_results(self, filters: dict) -> tuple[Any, int]: return self.client.get_assignments(filters) # Upload - step-based workflow required class UploadAction(BaseUploadAction[UploadParams]): def s

What's inside
Steps it walks through
  1. Available Specialized Actions
  2. Quick Comparison
  3. Execution Modes
  4. Detailed References
Ships with 1 file
  • metadata.json
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About this skill
What does the synapse-specialized-actions skill do?

Explains specialized Synapse action classes for specific workflows. Use when the user mentions "BaseTrainAction", "BaseExportAction", "BaseUploadAction", "BaseInferenceAction", "BaseDeploymentAction", "AddTaskDataAction", "train action", "export action", "upload action", "inference action", "deployment action", "pre-annotation", "add_task_data", "autolog", "get_dataset", "create_model", or needs workflow-specific action development help.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill specialized-actions --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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