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Multi Ai Debugging

Listed
adaptationio·vlatest·testing

Helps with AI, debugging as part of testing, debugging, and quality assurance workflows.

Repository

Install on your platform

This skill no longer installs under the name multi-ai-debugging. adaptationio/skrillz is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

adaptationio

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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scanned

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Not scanned. repository not found or private Source recorded as adaptationio/skrillz.
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About this skill

What it does

This skill allows you to debug interactions between multiple AI agents. It facilitates identifying and resolving conflicts or inefficiencies that arise when different AI components are working together on a task. The skill helps pinpoint which agent is contributing to errors, allowing for targeted adjustments and improved overall system performance.

When to use it

  • Conflicting outputs: When multiple agents produce contradictory results or recommendations.
  • Unexpected behavior: When the combined output of several AI agents doesn't match expectations.
  • Workflow bottlenecks: To identify which agent is slowing down a multi-agent process.
  • Error propagation: When an error from one agent negatively impacts subsequent agents in a chain.

Key capabilities

  • Debugging interactions between multiple AI agents
  • Identifying sources of conflict or inefficiency
  • Pinpointing contributing agents to errors
  • Analyzing combined outputs for unexpected behavior

Example prompts

  • "Debug the conversation flow between Agent A and Agent B when planning this trip."
  • "Trace the error in the order processing pipeline involving Agents 1, 2, and 3."
  • "Show me a log of all communications between the summarization agent and the fact-checking agent."

Tips & gotchas

This skill requires access to logs or records of interactions between the AI agents being debugged. Ensure sufficient logging is enabled for all relevant agents before attempting to use this skill.