confident-trace
claudecodexSkills for instrumenting AI applications with the confident-trace SDK, exporting raw OpenTelemetry traces to Confident AI, and migrating from Langfuse.
3 skills
2
claudecodex
confident-eval-setup
Skills for getting an LLM app ready to evaluate on Confident AI: create and verify an AI connection over the Confident AI MCP server, connect an app with no endpoint through the Confident Agent's handler mode, and upload a dataset.
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Plugin confident-eval-setup from marketplace confident-skills in confident-ai/confident-skills. Commands read from the repo's manifest — 6 days ago.
What it installs
Skills (2)
confident-agent-handlerConnect an AI app that has no HTTP endpoint to Confident AI with the Confident Agent's handler mode: write a handler function that calls the app's pipeline in-process, run the agent beside it, and create and verify an Agent Handler AI connection. TRIGGER when the user wants Confident AI to evaluate
confident-eval-setupGet an LLM application ready to evaluate on the Confident AI platform through the Confident AI MCP server. TRIGGER when the user wants to set up evals on Confident AI, connect or register their app's endpoint as a Confident AI AI connection, fix or debug an AI connection that is inactive or failing
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