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langchain-multi-env-setup

7.0

by jeremylongshore

62Favorites
342Upvotes
0Downvotes

Configure LangChain multi-environment setup for dev/staging/prod. Use when managing multiple environments, configuring environment-specific settings, or implementing environment promotion workflows. Trigger with phrases like "langchain environments", "langchain staging", "langchain dev prod", "environment configuration", "langchain env setup".

langchain

7.0

Rating

0

Installs

AI & LLM

Category

Quick Review

Excellent skill for managing LangChain multi-environment configurations. The description clearly indicates when to use it (multi-environment management, env-specific settings, promotion workflows). Task knowledge is comprehensive with complete code for config loaders, YAML structures, secrets management, and Docker Compose setup. Structure is clear with logical progression from base config through environment overrides to secrets and deployment. Novelty is good - while environment configuration is a common pattern, the LangChain-specific integration (LangSmith tracing, LLM factory, provider-specific configs) and the complete implementation with Pydantic settings, deep merging, and env variable resolution would require significant tokens for an agent to construct from scratch. Minor improvement areas: could benefit from a quick-reference table of which files to create first, and slightly more explicit triggers for specific sub-tasks (e.g., 'add staging environment' vs 'full multi-env setup').

LLM Signals

Description coverage8
Task knowledge9
Structure8
Novelty7

GitHub Signals

1,046
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Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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