dual-agent
CommunityMaintain parity between LangChain and PydanticAI agents
Authorcurtismu7
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill ensures that both the LangChain and PydanticAI agents have identical capabilities, maintaining feature parity and shared architecture.
Core Features & Use Cases
- Feature Parity Enforcement: Ensures every user-visible capability in one agent exists in the other.
- Shared Architecture Decisions: Consistent implementation of wire protocol contracts, run.sh registration, and architecture patterns.
- LLM Provider Parity: Supports the same LLM providers in both agents.
- Use Case: Before making changes to either agent, this Skill provides guidelines and a checklist to maintain parity between the two.
Quick Start
Review the dual-agent skill before making changes to either the LangChain or PydanticAI agent to ensure feature parity.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 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: dual-agent Download link: https://github.com/curtismu7/AI-demo/archive/main.zip#dual-agent Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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