Langchain Orchestration
CheckedAutomates complex workflows using LangChain, connecting LLMs, data sources, and tools for advanced task completion.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add manutej/luxor-claude-marketplace --skill langchain-orchestration -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
manutej
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.
Automated safety checks
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 manutej/luxor-claude-marketplace at 1861cc9720.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 1861cc9720
- Scanned
- 3 files, 3,388 lines
About this skill
langchain-orchestration
What it does
This skill enables AI agents to manage complex workflows by coordinating multiple LangChain components and external tools. It allows for the structured execution of multi-step tasks that require state management and sequential logic beyond simple single-turn interactions.
When to use it
- Building automated pipelines that chain together data retrieval, processing, and output generation steps.
- Creating agents capable of handling long-horizon tasks requiring memory retention across multiple turns.
- Integrating custom business logic or external APIs into a cohesive agent workflow.
- Managing stateful interactions where the outcome of one step dictates the parameters of the next.
Key capabilities
- Workflow coordination for multi-step processes
- Integration with LangChain components
- State management across agent interactions
- Tool orchestration for complex task execution
Example prompts
- "Create a workflow that first searches the web for recent news, summarizes the top three articles, and then drafts a newsletter based on those summaries."
- "Set up an agent to monitor specific stock prices every hour, log significant changes to a database, and send me an alert if volatility exceeds a threshold."
- "Orchestrate a process that extracts data from a PDF, validates it against a schema, and generates a formatted CSV report for download."
Tips & gotchas
Ensure your LangChain environment is properly configured with all necessary API keys before attempting to run complex orchestration workflows. This skill is most effective when you clearly define the sequence of steps required to achieve your goal, as the agent relies on this structure to manage state and tool usage effectively.