workflows-run

Automate Archon-based SDLC workflow runs with isolated workspaces and artefact reporting.

41|6|Updated Jul 12, 2025
One-click install
npx skills add https://github.com/SteveGJones/ai-first-sdlc-practices --skill workflows-run
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: workflows-run
Source: https://github.com/SteveGJones/ai-first-sdlc-practices/tree/main/plugins/sdlc-workflows/skills/workflows-run
Command: npx skills add https://github.com/SteveGJones/ai-first-sdlc-practices --skill workflows-run

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

SDLC teams waste time configuring Archon runs, managing environments, and tracking artefacts across complex workflows.

Core Features & Use Cases

  • Preprocess workflows for containerized execution and reliable discovery within isolated workspaces.
  • Launch and monitor Archon-based SDLC runs with automatic artefact capture and per-run dashboards.
  • Resume failed runs, report results, and offer options to cherry-pick or preserve workspaces.

Quick Start

Launch a named workflow with archon workflow run and monitor live output to review artefacts.

Frequently Asked Questions about workflows-run

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

FAQPage Schema
How do I automate Archon SDLC workflow runs with project-aware defaults?

Run Archon SDLC workflows with project-aware defaults by launching named workflows via the command line and monitoring live output. The system automates execution, applies input validation, and captures artefacts in isolated workspaces.

Can I resume failed Archon workflow runs without losing workspace artefacts?

Yes, you can resume failed Archon workflow runs while preserving workspaces. The system offers options to cherry-pick or keep existing workspaces, applying robust error handling to ensure no prior artefacts are lost during recovery.

How does isolated workspace management work for CI/CD pipeline automation?

Isolated workspace management preprocesses workflows for containerized execution, ensuring reliable discovery and separation of runs. This isolates artefacts per run, providing dedicated dashboards and preventing cross-contamination between concurrent CI/CD pipeline executions.

What is the best way to monitor and report artefacts across complex SDLC workflows?

Monitoring and reporting artefacts across SDLC workflows is handled by launching Archon runs with automatic artefact capture and per-run dashboards. This tracks results across multi-node runs, offering options to cherry-pick or preserve workspaces after completion.

Do I need containerized execution to run Archon-based SDLC workflows reliably?

Containerized execution is used to preprocess workflows for reliable discovery within isolated workspaces. This approach ensures environment consistency and robust error handling during multi-node runs in modern CI/CD pipelines.

Why does my Archon workflow run require input validation before execution?

Archon workflow runs require input validation to enforce reliable delivery and prevent execution errors. This validation step is applied before coordinating multi-node runs, ensuring robust error handling and resumable runs within isolated workspaces.