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.