ClaudeSuperPower

deepeval

Skill

DeepEval evaluation workflow for AI agents and LLM applications. TRIGGER when the user wants to evaluate or improve an AI agent, tool-using workflow, multi-turn chatbot, RAG pipeline, or LLM app; add evals; generate datasets or goldens; use deepeval generate; use deepeval test run; send results to C

Install

git clone https://github.com/confident-ai/deepeval.git ~/.claude/skills/deepeval

What is deepeval?

DeepEval evaluation workflow for AI agents and LLM applications. TRIGGER when the user wants to evaluate or improve an AI agent, tool-using workflow, multi-turn chatbot, RAG pipeline, or LLM app; add evals; generate datasets or goldens; use deepeval generate; use deepeval test run; send results to Confident AI; monitor production; run online evals; inspect traces; or iterate on prompts, tools, retrieval, or agent behavior from eval failures. AI agents are the primary use case. Covers Python SDK, pytest eval suites, CLI generation, traced evals, Confident AI reporting, and agent-driven improvement loops. DO NOT TRIGGER for unrelated generic pytest, non-AI test setup, or non-DeepEval observability work unless the user asks to compare or migrate to DeepEval; for instrumenting an app with DeepEval tracing, @observe, or framework integrations (use the `deepeval-tracing` skill); or for raw OpenTelemetry / OTLP export without the deepeval package (use the `deepeval-otel` skill).

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~247 tokens of context used while enabled, before you invoke anything

Documentation

README · ~4 min read

DeepEval

Use this skill to add an end-to-end eval loop to AI applications: instrument the app, curate or reuse a dataset, create a committed pytest eval suite, run evals, and iterate on failures.

Prerequisites

Requires Python 3.9+ and pip install deepeval in the target project. Metrics and synthetic generation need model credentials. Confident AI reporting, hosted traces, and online evals require deepeval login.

Workflow Summary

  1. Inspect the target app and existing DeepEval usage.

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