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Goodeye-Labs

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• 3 skills
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• 1 week ago last updated

1. ▌
   Create Evaluation · goodeye-labs

   Scope what quality should be measured, convert it into one or more actionable binary evaluations, deploy those evaluations through Truesight MCP, and generate a companion skill that applies them correctly. Use when a user wants to create new evals, quality checks, guardrails, or pass/fail criteria for AI outputs.
   1 install
2. ▌
   Truesight Workflows · goodeye-labs

   Orchestrator for Truesight MCP skills. Use this when the user needs help choosing the right Truesight workflow or when intent is ambiguous across LLM evaluate, error analysis, review, templates, or evaluation creation.
   1 install
3. ▌
   Generate Synthetic Data · goodeye-labs

   Generate synthetic test data for LLM evaluations using dimension-based tuple expansion. Use when the user needs synthetic traces, test cases, eval datasets, or when create-evaluation needs synthetic fallback data.
   1 install