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Llm Application Dev Langchain Agent

Checked
rmyndharis·vlatest·ai-ml·MIT

Helps with LLMs, LangChain as part of building AI and machine learning applications workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add rmyndharis/antigravity-skills --skill llm-application-dev-langchain-agent -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

rmyndharis

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned rmyndharis/antigravity-skills at 3eff4af253.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3eff4af253
Manifest
skills/llm-application-dev-langchain-agent/SKILL.md
Scanned
1 file, 230 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables the development of LLM (Large Language Model) applications using LangChain agents. It facilitates building AI agents capable of complex task execution by chaining together various tools and models, allowing for dynamic decision-making based on real-time information. The skill streamlines application creation through LangChain's framework.

When to use it

  • Automating data extraction from multiple websites and consolidating the findings into a report.
  • Creating an AI assistant that can book flights, reserve hotels, and manage travel itineraries.
  • Developing a chatbot capable of answering complex questions by querying various knowledge bases and APIs.
  • Building an agent to monitor social media for specific keywords and generate automated responses.

Key capabilities

  • LangChain Agent Integration
  • LLM Application Development
  • Tool Chaining
  • Dynamic Task Execution

Example prompts

  • "Create a LangChain agent that can summarize news articles from CNN and Reuters."
  • "Build an AI assistant to answer questions about our company's products, using the product documentation as context."
  • "Develop a tool-chaining agent to calculate shipping costs based on destination and weight."

Tips & gotchas

This skill requires familiarity with LangChain concepts and Python programming. Ensure you have the necessary libraries installed before attempting to use this skill for application development.