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Langchain Workflow Builder

Checked
patricio0312rev·vlatest·ai-ml·MIT

Automates complex workflows using LangChain, streamlining tasks and boosting productivity through AI orchestration.

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 patricio0312rev/skills --skill langchain-workflow-builder -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

patricio0312rev

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 patricio0312rev/skills at 79ea6af485.

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

Scanned
1 file, 491 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 automates complex workflows by leveraging LangChain to orchestrate AI agents for streamlined task execution. It boosts productivity by managing multi-step processes that require intelligent coordination between different tools or models.

When to use it

  • You need to automate a multi-stage business process involving data retrieval, analysis, and reporting without manual intervention.
  • Your team requires an orchestrated system where AI agents must pass context and results between one another seamlessly.
  • You want to reduce repetitive administrative tasks by creating a self-running workflow that handles end-to-end operations.
  • You are building a solution that demands high-level logic to connect disparate APIs or data sources through a unified interface.

Key capabilities

  • Automates complex, multi-step workflows using the LangChain framework.
  • Streamlines task execution through intelligent AI orchestration.
  • Boosts overall productivity by reducing manual oversight in automated processes.

Example prompts

  • "Create a workflow that automatically scrapes competitor pricing data, analyzes trends, and generates a weekly summary report."
  • "Build an agent chain to handle customer support tickets by routing them, drafting responses based on context, and logging outcomes."
  • "Design a process to ingest unstructured documents, extract key entities, and update our internal database with the findings."

Tips & gotchas

Ensure you have access to the necessary APIs or data sources required for your specific workflow steps before deployment. While this skill handles orchestration effectively, complex logic may still require fine-tuning of individual agent behaviors to match precise business rules.