skills.rest
khairulariffinka
khairulariffinkaCOMMUNITY
Explore all skills by this author →
GitHub

orchestration

Coordinate multiple AI agents across planning, execution, validation, and recovery workflows.

1|Updated Apr 12, 2026
Search Tags:#auditing#orchestration#error-handling#self-healing#ai-agents#workflow-management
One-click install
npx skills add https://github.com/khairulariffinka/codexen --skill orchestration-khairulariffinka
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: orchestration
Source: https://github.com/khairulariffinka/codexen/tree/main/core/skills/orchestration
Command: npx skills add https://github.com/khairulariffinka/codexen --skill orchestration-khairulariffinka

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinates multiple specialized agents to fulfill complex user requests, coordinating planning, execution, validation, and safe decision-making to maintain system stability and efficiency.

Core Features & Use Cases

  • Plan generation and task decomposition using planner logic.
  • Context loading and modular data provisioning for each agent.
  • Distributed execution across frontend, backend, and QA agents.
  • Validation through auditor checks and gated commits via git-manager.
  • Change-propagation when BRS/SRS/SDS docs update, ensuring all components stay in sync.
  • Built-in self-healing, error handling, timeout strategies, and guardrails for reliability.

Quick Start

Load the orchestration skill and start the planner-agent loop to begin coordinating tasks.

Frequently Asked Questions about orchestration

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

FAQPage Schema
How do I coordinate multiple AI agents to manage complex task workflows?▼

Coordinating multiple AI agents involves using an orchestration layer to decompose plans, load context, execute distributed tasks, and validate outputs with self-healing guardrails to maintain system stability.

What is the best way to handle error recovery and self-healing in AI agent execution?▼

Error recovery in AI agent execution is handled through built-in self-healing mechanisms, applying timeout strategies, error handling, and guardrails to automatically maintain system stability during complex operations.

How do I keep frontend, backend, and QA agents in sync when project documentation updates?▼

To keep distributed agents in sync during documentation updates, you apply change-propagation logic that ensures all components stay aligned when BRS, SRS, or SDS files are modified.

How does gated commit validation work for distributed AI agent tasks?▼

Gated commit validation works by applying auditor checks to distributed execution outputs, ensuring that changes from specialized agents are verified and safe before committing to the system.

Do I need specific dependencies to run an AI agent orchestration loop?▼

No external dependencies are required to run the AI agent orchestration loop. You can load the orchestration skill directly and start the planner-agent loop to begin coordinating tasks immediately.

When should I avoid using AI agent orchestration for task management?▼

You should avoid AI agent orchestration for simple, single-step tasks that do not require distributed execution, context loading, or complex validation guardrails, as the overhead outweighs the benefits.

Related Skills

Explore More Software Engineering Skills→
HumanBean17HumanBean17
8

using-superpowers

Enforce specialized skill invocation and task artifact maintenance before responding.

Community
Advanced
korchasakorchasa
1

flowai-answer

Answer repository questions by reading documentation and inspecting code.

Community
Advanced
mhyllemhylle
17

agent-creator

Generate composable AI agent systems with DAG-based planning in NestJS.

Community
Advanced
ruvnetruvnet
67.5k

swarm-advanced

Orchestrate distributed agent swarms via MCP tools and CLI commands.

Community
Advanced