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supervisor-conversation

Monitor and control running AI agents with status-based resumption and capability grants.

1|Updated Feb 6, 2026
Search Tags:#agents#orchestration#resume#capability#monitor#agent-workflow#supervise
One-click install
npx skills add https://github.com/eron1703/claude-config-loader --skill supervisor-conversation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: supervisor-conversation
Source: https://github.com/eron1703/claude-config-loader/tree/main/skills/supervisor-conversation
Command: npx skills add https://github.com/eron1703/claude-config-loader --skill supervisor-conversation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Monitor and control running AI agents to ensure reliable supervision, timely resumption, and proper handling of blockers in supervisor-worker conversations.

Core Features & Use Cases

  • Peeking: non-blocking checks on running agents to observe progress without stopping execution.
  • Status-driven resumption: interpret STATUS signals to decide when and how to resume with precise answers.
  • Capability governance: grant or deny NEED_CAPABILITY requests to keep tasks scoped and safe.
  • Stuck-agent management: terminate or re-launch agents when progress stalls or loops are detected.

Quick Start

Launch an agent and supervise it by peeking its output, granting capabilities when asked, and resuming with precise answers to move the task forward.

Frequently Asked Questions about supervisor-conversation

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

FAQPage Schema
How do I monitor a running AI agent without interrupting its execution?▼

Stuck agent management handles stalled progress or detected loops by terminating or re-launching agents. This supervisory workflow enforces guardrails to prevent indefinite waiting and recover blocked tasks.

How do I resume an agent workflow that is blocked waiting for information?▼

You resume a blocked agent workflow by interpreting STATUS signals and providing precise answers. This status-driven resumption injects the exact information the agent requested to continue its task.

What is the best way to govern capabilities requested by autonomous AI agents?▼

The best way to govern capabilities is through capability governance, which grants or denies NEED_CAPABILITY requests. This keeps tasks scoped and safe by controlling permissions dynamically during agent execution.

How do you handle stuck AI agents that are stuck in a loop?▼

Stuck agent management handles stalled progress or detected loops by terminating or re-launching agents. This supervisory workflow enforces guardrails to prevent indefinite waiting and recover blocked tasks.

Do I need specific frameworks to orchestrate supervisor-worker agent conversations?▼

No specific frameworks are required to orchestrate supervisor-worker conversations as dependencies are empty. You implement deterministic peeks and status-based decision making directly within your agent workflow environment.

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