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Agent Orchestration

Checked
parcadei·vlatest·agents·MIT

Parcadei's agent-orchestration dynamically chains and manages multiple AI agents to achieve complex tasks efficiently.

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 parcadei/continuous-claude-v3 --skill agent-orchestration -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

parcadei

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 parcadei/continuous-claude-v3 at d07ff4b06b.

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

Commit
d07ff4b06b
Manifest
.claude/skills/agent-orchestration/SKILL.md
Scanned
1 file, 58 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 allows an AI agent to coordinate and manage multiple other agents, effectively creating a workflow. It can chain together the outputs of different agents, ensuring that each step in a complex task is completed correctly and efficiently. The orchestration includes managing agent context and passing data between them.

When to use it

  • Complex Research Tasks: Break down a large research project into smaller tasks handled by specialized agents (e.g., one for literature review, another for data analysis).
  • Content Creation Pipelines: Automate the process of generating content, from initial brainstorming and outlining to drafting, editing, and publishing.
  • Customer Service Automation: Route customer inquiries through a series of agents specializing in different areas, ensuring efficient resolution.
  • Data Processing Workflows: Orchestrate agents for data extraction, cleaning, transformation, and loading (ETL) processes.

Key capabilities

  • Agent chaining
  • Context management between agents
  • Data passing between agents
  • Workflow definition

Example prompts

  • "Create a workflow that first summarizes this article using Agent A, then generates five questions about it using Agent B."
  • “Orchestrate Agents X and Y to translate the following text into French, ensuring Agent X’s output is used as input for Agent Y.”
  • "Build an agent pipeline where Agent 1 extracts data from a website, Agent 2 cleans that data, and Agent 3 generates a report."

Tips & gotchas

The effectiveness of this skill depends on the quality and reliability of the individual agents being orchestrated. Ensure each agent in the chain is well-defined and performs its task accurately before integrating them into a workflow.