Agent skill · Data & Analytics

langchain-data-handling

Load and chunk documents for LangChain 1.0 RAG pipelines correctly \u2014\ \nlanguage-aware splitters, table-safe PDF loaders, Cloudflare-compatible web\n\ loaders, chunk-boundary strategies that survive real-world structure. Use when\n\ building a RAG pipeline, diagnosing why retrieval misquotes a table, or\ndebugging\ \ a crawler returning blank content. Trigger with \"langchain document\nloader\"\ , \"text splitter\", \"chunking strategy\", \"pdf loader\",\n\"markdown splitter\"\ , \"webbaseloader\".\n"

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

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

Facts
Files in the skill folder: 6
SKILL.md size: 16 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-data-handling/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 Data Handling — Loaders and Splitters (Python) ## Overview You have a RAG system over a Python docs site. A user asks "what does `trim_messages` do?" and the retriever returns this chunk: ``` ### `trim_messages(strategy="last", include_system=True)` Trim a message history to fit a token budget. The newest messages are kept; older messages are dropped. Pass `include_system=True` to pres

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About this skill
What does the langchain-data-handling skill do?

Load and chunk documents for LangChain 1.0 RAG pipelines correctly \u2014\ \nlanguage-aware splitters, table-safe PDF loaders, Cloudflare-compatible web\n\ loaders, chunk-boundary strategies that survive real-world structure. Use when\n\ building a RAG pipeline, diagnosing why retrieval misquotes a table, or\ndebugging\ \ a crawler returning blank content. Trigger with \"langchain document\nloader\"\ , \"text splitter\", \"chunking strategy\", \"pdf loader\",\n\"markdown splitter\"\ , \"webbaseloader\".\n"

How do I install it?

Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langchain-data-handling --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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