langchain-architecture

Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.

1.66x

Quality

68%

Does it follow best practices?

Impact

83%

1.66x

Average score across 3 eval scenarios

Securityby

Passed

No findings from the security scan

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tessl review fix ./tests/ext_conformance/artifacts/agents-wshobson/llm-application-dev/skills/langchain-architecture/SKILL.md

The canonical home for this skill is langchain-architecture in wshobson/agents

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Run	Type	Date	Status
baseline vs usage-spec With / without context 7 months ago Completed	With / without context	7 months ago	Completed

Eval run

019cc841-ece6-7168-81aa-64b7266615fc

Run 7 months ago

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Repository: Dicklesworthstone/pi_agent_rust
Path: tests/ext_conformance/artifacts/agents-wshobson/llm-application-dev/skills/langchain-architecture/SKILL.md
Commit: a65ce00

Evaluated: 7 months ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Customer Support Chatbot with Persistent Memory Internal Knowledge Base Search System Automated Research and Writing Pipeline

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