supervisor-agent-launch

Coordinate multi-agent prompts with role templates and gated approvals.

1|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/eron1703/claude-config-loader --skill supervisor-agent-launch
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: supervisor-agent-launch
Source: https://github.com/eron1703/claude-config-loader/tree/main/skills/supervisor-agent-launch
Command: npx skills add https://github.com/eron1703/claude-config-loader --skill supervisor-agent-launch

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates the design and execution of gated, multi-agent prompts with role templates to ensure safe, scalable agent launches.

Core Features & Use Cases

  • Layered loading model: Core, Role, and On-Request Knowledge enable structured, incremental context.
  • Gated access: supervisors approve or deny on-demand knowledge to prevent scope creep.
  • Anti-patterns & launch rules: clear safety guidelines including timer agents and task boundaries.
  • Real-world use: orchestrating a supervisor-agent launch workflow for complex multi-agent tasks.

Quick Start

Provide a prompt that initiates a gated supervisor-agent launch following the layered skill loading model.

Frequently Asked Questions about supervisor-agent-launch

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

FAQPage Schema
How do I coordinate multi-agent prompts safely during complex task orchestration?

Multi-agent prompt orchestration is managed through layered role templates and gated supervisor approvals, ensuring worker agents operate within safe task boundaries. Supervisors control on-demand knowledge loading to prevent scope creep across role and core contexts.

What is a layered skill loading model for multi-agent workflows?

A layered skill loading model structures context incrementally into Core, Layered Role, and On-Request Knowledge. This ensures agents receive only necessary information at each stage, with gated access preventing unauthorized scope expansion during complex task execution.

How do I prevent scope creep in multi-agent prompt pipelines?

Scope creep is prevented by implementing gated access where supervisors approve or deny on-demand knowledge requests. Anti-pattern safeguards and defined task boundaries restrict worker agents from exceeding their assigned roles within the orchestration pipeline.

Can I use role templates to structure worker agent tasks in complex pipelines?

Role templates structure worker agent tasks by defining specific operational boundaries within prompt pipelines. Integrated with the layered loading model, they provide incremental context and gated supervisor approvals to maintain safe multi-agent execution.

What anti-pattern safeguards are needed for safe multi-agent launches?

Safe multi-agent launches require anti-pattern safeguards including timer agents and strict task boundaries. These rules prevent uncontrolled execution and scope creep, ensuring supervisors maintain gating control over on-request knowledge and role assignments.