orchestration-pipeline

Orchestrate a phased AI development pipeline with validation gates and human checkpoints.

Updated Aug 27, 2026

Search Tags:#automation #workflow #ai development #orchestration #pipeline #quality gates

Ready to run

npx skills add https://github.com/sebastianspicker/phased-agent-orchestration --skill orchestration-pipeline

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: orchestration-pipeline
Source: https://github.com/sebastianspicker/phased-agent-orchestration/tree/main/.cursor/skills/orchestration-pipeline
Command: npx skills add https://github.com/sebastianspicker/phased-agent-orchestration --skill orchestration-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill manages a complex, multi-stage AI development pipeline, ensuring quality and preventing drift by enforcing gates and human checkpoints between stages.

Core Features & Use Cases

End-to-End Workflow Management: Orchestrates a 10-stage phased development process from initial requirements to release readiness.
Automated Stage Advancement: Progresses through stages based on passing validation gates and explicit human approvals.
Context Minimization: Ensures only necessary artifacts are transferred between stages.
Use Case: Use this Skill to manage the entire lifecycle of developing a new AI feature, from defining requirements and design to building, testing, and releasing, ensuring each step meets quality standards before proceeding.

Quick Start

Use the orchestration-pipeline skill to resume the workflow from the last completed stage.

Frequently Asked Questions about orchestration-pipeline

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

FAQPage Schema

How do I automate a phased AI development workflow with quality gates?▼

Automating a phased AI development workflow involves orchestrating stage-by-stage execution with strict validation gates and human checkpoints to prevent drift. This ensures each phase meets quality standards before transferring minimized context to the next stage.

What is context minimization in AI pipeline orchestration?▼

Context minimization in pipeline orchestration ensures only necessary artifacts are transferred between development stages. This approach prevents context overload and maintains strict adherence to defined schemas across the full software development lifecycle.

How do I manage stage advancement in an automated development pipeline?▼

Managing stage advancement requires passing automated validation gates and securing explicit human approvals. The pipeline progresses sequentially through phases only when artifact validation succeeds and defined schema requirements are fully satisfied.

Do I need specific adapter skills for an AI orchestration pipeline?▼

Yes, an AI orchestration pipeline requires specific adapter skills for each stage to execute properly. These adapters handle the distinct tasks within the 10-stage development process and ensure adherence to defined schemas for quality gates.

Can I resume an automated workflow from the last completed stage?▼

Yes, you can resume an automated workflow directly from the last completed stage. The orchestration pipeline maintains state across its 10-stage lifecycle, allowing you to continue execution without repeating previously validated phases.

When should I use a phased orchestration pipeline for software development?▼

Use a phased orchestration pipeline when developing a new AI feature from requirements to release readiness. It is essential when you need strict artifact validation, automated progression, and human checkpoints to ensure quality across a complex lifecycle.