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DeepEval pytest-style LLM testing patterns with built-in metrics, custom evaluators, and CI integration. Use when creating LLM tests, evaluating RAG quality, or measuring faithfulness/relevance.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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BullMQ queue configuration patterns including connection pooling, job options, rate limiting, and TypeScript types. Use when setting up queues or configuring job behavior.
BullMQ worker implementation patterns including job processors, concurrency, error handling, and graceful shutdown. Use when creating workers or handling job processing.
DigitalOcean Managed Database provisioning and connection patterns
DigitalOcean networking patterns - VPCs, firewalls, load balancers, DNS
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| name | deepeval-testing |
| description | DeepEval pytest-style LLM testing patterns with built-in metrics, custom evaluators, and CI integration. Use when creating LLM tests, evaluating RAG quality, or measuring faithfulness/relevance. |
| allowed-tools | Bash, Read, Write, Edit, Grep, Glob, WebFetch |
Skill for pytest-style LLM evaluation with DeepEval.
DeepEval provides:
This skill is automatically invoked when:
| Script | Description |
|---|---|
scripts/init-deepeval.sh | Initialize DeepEval project |
scripts/run-tests.sh | Run DeepEval tests |
| Template | Description |
|---|---|
templates/conftest.py | pytest configuration |
templates/test_basic.py | Basic test structure |
templates/test_rag.py | RAG evaluation tests |
AnswerRelevancyMetricFaithfulnessMetricContextualRelevancyMetricHallucinationMetricToxicityMetricBiasMetric