Agent skill · Design & Presentation

langchain-sdk-patterns

Compose LangChain 1.0 Python runnables with the production defaults the docs do not warn about: parallel batching, narrow fallbacks, and brace-safe prompts. Use when building an LCEL chain with RunnableSequence / RunnableParallel, adding resilience via `.with_fallbacks()`, tuning throughput with `.batch()` or `.abatch()`, or wrapping user input in a prompt template. Trigger with "langchain runnable", "with_fallbacks", "langchain batch", "runnable sequence", "lcel", "runnableparallel", "chain composition". '

jeremylongshoregithub.com/jeremylongshoreGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langchain-sdk-patterns --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 13 KB
Bundled scripts: none
Version: 2.5.0
Declared author: Jeremy Longshore <jeremy@intentsolutions.io>
Allowed tools: ReadWriteEditBash(python:*)Bash(pip:*)
Requires: Designed for Claude Code, also compatible with Codex
Path: skills/.curated/langchain-sdk-patterns/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,596
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# LangChain SDK Patterns (Python) ## Overview `chain.batch(inputs)` in LangChain 1.0 does **not** parallelize by default. The `max_concurrency` parameter defaults to **1** in several provider packages (notably older `langchain-openai`), so a call like `chain.batch(inputs_1000)` runs 1,000 sequential round-trips — same wall-clock time as a `for` loop, plus the overhead of the batch machinery. Users

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About this skill
What does the langchain-sdk-patterns skill do?

Compose LangChain 1.0 Python runnables with the production defaults the docs do not warn about: parallel batching, narrow fallbacks, and brace-safe prompts. Use when building an LCEL chain with RunnableSequence / RunnableParallel, adding resilience via `.with_fallbacks()`, tuning throughput with `.batch()` or `.abatch()`, or wrapping user input in a prompt template. Trigger with "langchain runnable", "with_fallbacks", "langchain batch", "runnable sequence", "lcel", "runnableparallel", "chain composition". '

How do I install it?

Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langchain-sdk-patterns --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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