run

Execute HQ worker skills inline with optional arguments and checkpoint recording.

54|12|Updated Apr 21, 2026
One-click install
npx skills add https://github.com/indigoai-us/hq-core --skill run-indigoai-us
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: run
Source: https://github.com/indigoai-us/hq-core/tree/main/.claude/skills/run
Command: npx skills add https://github.com/indigoai-us/hq-core --skill run-indigoai-us

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Run and manage HQ worker skills directly within the current session, without sub-agent isolation, enabling immediate execution and rapid experimentation.

Core Features & Use Cases

  • List available workers and inspect their skills
  • Execute a specific skill inline with optional arguments
  • Maintain context, policies, and knowledge loading during skill execution
  • Support ad-hoc automation and demonstrations in live sessions

Quick Start

Run a worker's skill by providing the worker ID and a skill name, for example, run x-user contentidea.

Frequently Asked Questions about run

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I execute worker skills inline without sub-agent isolation?

To execute worker skills inline without sub-agent isolation, use the run command by providing the worker ID and skill name, such as run x-user contentidea, which loads worker context and records a checkpoint after completion.

What is inline execution for worker skills and when do I need it?

Inline execution runs HQ worker skills directly within the current session without sub-agent isolation, enabling immediate execution and rapid experimentation for ad-hoc automation and live demonstrations.

Can I list available workers and inspect their skills before running them?

Yes, you can list available workers and inspect a specific worker's available skills before execution. This helps you discover worker-specific tool constraints and verify the correct skill name before running it with optional arguments.

Does inline skill execution maintain worker context and policies during the session?

Yes, inline skill execution maintains context, policies, and knowledge loading during execution. It enforces worker-specific tool constraints while running the chosen skill directly within the current session.

What is the best way to run ad-hoc automation and skill demonstrations in a live session?

The best way to run ad-hoc automation and demonstrations in live sessions is using inline execution, which bypasses sub-agent isolation to run worker skills immediately while preserving session context and recording completion checkpoints.

When should I avoid inline execution and use sub-agent isolation instead?

You should avoid inline execution when you need strict environmental separation or independent task sandboxing. Inline execution runs skills within the current session, which is ideal for rapid experimentation but lacks sub-agent isolation boundaries.