skills.rest
Light0305
Light0305COMMUNITY
Explore all skills by this author →
GitHub

light-orchestrator

Coordinate multi-stage AI workflows with checkpointing and context restoration.

514|67|Updated Jun 7, 2026
Search Tags:#workflow#memory#pipeline#handoff#checkpoint#resumption#orchestrator
One-click install
npx skills add https://github.com/Light0305/Light-skills --skill light-orchestrator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: light-orchestrator
Source: https://github.com/Light0305/Light-skills/tree/main/skills/light-orchestrator
Command: npx skills add https://github.com/Light0305/Light-skills --skill light-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates cross-stage AI workflows by coordinating multiple skills and preserving context across interruptions.

Core Features & Use Cases

  • Phase-based planning and scheduling across stages (planning, execution, review).
  • Checkpointing and forced phase boundaries to prevent drift and ensure artifact handoffs.
  • Context restoration from passport memory and stage logs to resume interrupted tasks.

Quick Start

Describe a multi-stage task (e.g., "from data to paper") to the orchestrator to generate a phase-by-phase plan and resume after interruptions.

Frequently Asked Questions about light-orchestrator

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

FAQPage Schema
How do I coordinate multi-stage AI workflows and preserve context across interruptions?▼

To coordinate multi-stage AI workflows, you use an orchestrator that enforces stage contracts, tracks artifacts in a passport, and restores context from checkpoint logs to resume interrupted long-running pipeline tasks seamlessly.

What is the best way to resume an interrupted long-running AI pipeline?▼

The best way to resume an interrupted AI pipeline is through context restoration from passport memory and stage logs, allowing stepwise handoffs to pick up exactly where the previous execution left off.

How do I prevent context drift when handing off artifacts between AI planning and execution stages?▼

To prevent context drift during AI stage handoffs, apply forced phase boundaries and checkpointing to ensure artifacts are strictly validated against stage contracts before moving to the next phase.

Can I use this orchestrator for projects that span fewer than three stages?▼

This orchestrator is designed for long-running projects that span three or more stages, such as planning, execution, and review, making it unsuitable for simpler, shorter tasks without phase boundaries.

Do I need specific conventions to define a stage pipeline for AI workflow orchestration?▼

Yes, AI workflow orchestration requires a CONVENTIONS-compliant stage pipeline to enforce phase boundaries, interface with optional scripts, and successfully track artifacts across stepwise handoffs.

Related Skills

Explore More Software Engineering Skills→
cshyangcshyang

gsd:workflow:discovery-phase

Plan and execute a project discovery phase to define requirements and scope.

Community
Intermediate
yashs33244yashs33244
1

context-restore

Restore the latest saved working context from /context-save into the active workflow.

Community
Intermediate
hieuckhieuck

continuous-agent-loop

Orchestrate continuous autonomous agent loops with quality gates and recovery controls.

Community
Advanced
AperivueAperivue
243

manage-project

Coordinate medical manuscript projects from initiation to submission.

Official
Advanced