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Workflow Router

Checked
parcadei·vlatest·backend·MIT

Automatically routes tasks to optimal agents based on skills, availability, and priority within defined 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 parcadei/continuous-claude-v3 --skill workflow-router -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/workflow-router/SKILL.md
Scanned
1 file, 179 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

The workflow-router skill directs tasks to specific AI agents based on their capabilities and the nature of the request. It evaluates incoming requests, determines the appropriate agent for handling them, and then routes the task accordingly. This allows for efficient distribution of workload and ensures specialized expertise is applied to each task.

When to use it

  • Complex Projects: Distribute tasks like writing code, generating marketing copy, and researching data across different AI agents specializing in those areas.
  • Multi-Step Workflows: Route a request through a sequence of agents – for example, first to an agent for summarization, then to another for translation.
  • Specialized Needs: Automatically assign tasks requiring specific knowledge domains (e.g., legal or medical) to agents trained in those fields.
  • High Volume Requests: Manage a large influx of requests by intelligently distributing them among available AI agents.

Key capabilities

  • Request evaluation and categorization
  • Agent selection based on task requirements
  • Task routing to designated agents
  • Workflow sequencing for multi-step processes

Example prompts

  • "Route this customer support ticket to the agent specializing in billing inquiries."
  • "Send this code snippet to the AI agent trained in Python development."
  • "Can you route this request for a marketing campaign outline to the content generation specialist?"

Tips & gotchas

The effectiveness of this skill depends on accurate agent profiles and clear task categorization. Ensure your agents are properly tagged with their capabilities for optimal routing.