coordinate

Coordinate multi-agent task execution with an embedded issue remediation loop.

46|2|Updated Mar 23, 2025
One-click install
npx skills add https://github.com/gracefullight/krds --skill coordinate-gracefullight
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: coordinate
Source: https://github.com/gracefullight/krds/tree/main/.claude/skills/coordinate
Command: npx skills add https://github.com/gracefullight/krds --skill coordinate-gracefullight

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of getting multiple AI steps and contributors aligned so a task can be executed end-to-end, including returning to fix and close any failures found along the way.

Core Features & Use Cases

  • Task-based multi-agent coordination: Orchestrates a sequence of agent actions toward a shared goal.
  • Issue remediation loop: Detects problems during execution and iterates to resolve them until the task is satisfied.
  • Workflow-driven execution: Executes instructions from the repository workflow file to keep steps consistent and auditable.

Quick Start

Use the coordinate skill to run the workflow described in .agents/workflows/coordinate.md and complete the coordinated task with automatic issue remediation.

Frequently Asked Questions about coordinate

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

FAQPage Schema
How do I coordinate multiple AI agents to complete an end-to-end workflow?▼

Multi-agent coordination orchestrates a sequence of agent actions toward a shared goal by executing deterministic workflow instructions, ensuring steps remain consistent and auditable throughout the task lifecycle.

How does the issue remediation loop handle workflow execution failures?▼

The issue remediation loop detects intermediate failures or mismatches during multi-agent execution and iterates to resolve them automatically, returning to fix problems until the coordinated task is fully satisfied.

Do I need a specific repository workflow file to run agent orchestration?▼

Yes, deterministic agent orchestration requires a repository workflow file, such as `.agents/workflows/coordinate.md`, which provides the specific instructions agents follow to execute tasks consistently.

What's the best way to automate task planning and ensure deterministic execution?▼

Automated task planning achieves deterministic execution by following repository workflow instructions strictly, coordinating agents without direct model invocation to keep multi-agent operational workflows auditable and reliable.

Can I use this workflow orchestration for operational tasks with intermediate failures?▼

Yes, workflow orchestration applies to end-to-end operational workflows where intermediate failures or mismatches must be detected and corrected, using an embedded remediation loop to achieve reliable outcomes.

Why does workflow-driven execution avoid direct model invocation?▼

Workflow-driven execution avoids direct model invocation as configured in the skill metadata to ensure deterministic execution, keeping all multi-agent task steps consistent, controlled, and auditable.