langfuse-agent-advisor
CommunityStrategize your AI agent development.
Authormberto10
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill helps users brainstorm and strategize about AI agent development, providing guidance on evaluation, dataset creation, and iteration.
Core Features & Use Cases
- Evaluation Strategy: Offers frameworks and methods for assessing agent performance (output quality, process quality, trust & safety).
- Dataset Curation: Provides strategies for building and maintaining evaluation datasets, including synthesis and production data curation.
- Improvement Cycles: Guides users on iterative development based on evaluation feedback.
- Use Case: A user is building a web research agent and needs advice on how to best evaluate its accuracy and relevance. This skill will help them define metrics, create test cases, and set up an evaluation framework.
Quick Start
Use the agent-advisor skill to brainstorm an evaluation strategy for a new customer support bot.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: langfuse-agent-advisor Download link: https://github.com/mberto10/mberto-compound/archive/main.zip#langfuse-agent-advisor Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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