diff --git a/README.md b/README.md index 219ac27..4aee8c9 100644 --- a/README.md +++ b/README.md @@ -791,6 +791,13 @@ Official Web3 and trading skills from the Binance team. Includes crypto market d - **[NeoLabHQ/ddd](https://github.com/NeoLabHQ/context-engineering-kit/tree/master/plugins/ddd)** - Domain-driven development skills that also include Clean Architecture, SOLID principles, and design patterns. - **[NeoLabHQ/sadd](https://github.com/NeoLabHQ/context-engineering-kit/tree/master/plugins/sadd)** - Dispatches independent subagents for individual tasks with code review checkpoints between iterations for rapid, controlled development. - **[NeoLabHQ/kaizen](https://github.com/NeoLabHQ/context-engineering-kit/tree/master/plugins/kaizen)** - Applies continuous improvement methodology with multiple analytical approaches, based on Japanese Kaizen philosophy and Lean methodology. +- **[hamelsmu/eval-audit](https://github.com/hamelsmu/prompts/tree/main/evals-skills/skills/eval-audit)** - Audit LLM eval pipelines and surface problems +- **[hamelsmu/error-analysis](https://github.com/hamelsmu/prompts/tree/main/evals-skills/skills/error-analysis)** - Systematically identify failure modes in LLM pipelines +- **[hamelsmu/generate-synthetic-data](https://github.com/hamelsmu/prompts/tree/main/evals-skills/skills/generate-synthetic-data)** - Create diverse synthetic test inputs for LLM evals +- **[hamelsmu/write-judge-prompt](https://github.com/hamelsmu/prompts/tree/main/evals-skills/skills/write-judge-prompt)** - Design LLM-as-Judge evaluators for subjective criteria +- **[hamelsmu/validate-evaluator](https://github.com/hamelsmu/prompts/tree/main/evals-skills/skills/validate-evaluator)** - Calibrate LLM judges against human labels +- **[hamelsmu/evaluate-rag](https://github.com/hamelsmu/prompts/tree/main/evals-skills/skills/evaluate-rag)** - Evaluate RAG retrieval and generation quality +- **[hamelsmu/build-review-interface](https://github.com/hamelsmu/prompts/tree/main/evals-skills/skills/build-review-interface)** - Build annotation interfaces for reviewing LLM traces