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orchestration

Coordinate multi-agent NWB conversion workflows with validation and correction loops.

1|1|Updated Aug 11, 2025
Search Tags:#workflow#validation#orchestrate#data-conversion#nwb#conversation-agent#metadata-collection
One-click install
npx skills add https://github.com/Python-AI-Solutions/agentic-neurodata-conversion --skill orchestration-python-ai-solutions
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: orchestration
Source: https://github.com/Python-AI-Solutions/agentic-neurodata-conversion/tree/main/skill_documentation/orchestration
Command: npx skills add https://github.com/Python-AI-Solutions/agentic-neurodata-conversion --skill orchestration-python-ai-solutions

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pydantic, anthropic.

What problem does it solve?

Orchestrate the end-to-end NWB conversion workflow by coordinating multiple skills and maintaining natural, helpful conversations with users.

Core Features & Use Cases

  • End-to-end workflow orchestration: upload data, detect format, collect metadata, trigger conversion, run validation, and manage correction loops.
  • Natural language interaction: keep conversation context, explain steps, and guide users through setup and results.
  • Robust error handling: auto-fixes, iterative corrections, no-progress detection, and graceful escape hatches for difficult cases.

Quick Start

Upload data and say start NWB conversion to begin the guided workflow.

Frequently Asked Questions about orchestration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate an end-to-end NWB conversion workflow?▼

To coordinate an end-to-end NWB conversion workflow, upload your source data and the system orchestrates format detection, metadata collection, conversion, and validation into a single guided process.

Can I collect and validate metadata for NWB files using natural language?▼

Yes, you can collect and validate metadata for NWB files through natural language conversation, which maintains context to guide you step-by-step through setup and results.

How does error handling work during data conversion to NWB format?▼

Error handling during data conversion to NWB format features auto-fixes, iterative correction loops, no-progress detection, and graceful escape hatches for difficult cases.

What is the best way to automate format detection before NWB conversion?▼

The best way to automate format detection before NWB conversion is using an orchestration workflow that automatically identifies uploaded data formats before triggering the metadata collection phase.

Do I need pydantic and anthropic dependencies to orchestrate NWB conversion?▼

Yes, you need pydantic and anthropic dependencies to run this NWB conversion orchestration, as they provide the underlying data validation and conversational agent framework.

What are the limitations when managing correction loops for NWB conversion?▼

Limitations when managing correction loops for NWB conversion include potential no-progress scenarios where the system must trigger graceful escape hatches rather than resolving the error automatically.

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