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Cogni-AI-OU
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github-aw-practices

Define rollout and A/B experiment practices for GitHub Agentic Workflows.

3|1|Updated Apr 12, 2026
Search Tags:#A/B testing#github#governance#agentic workflows#safe rollout#prompt variations#repository practices
One-click install
npx skills add https://github.com/Cogni-AI-OU/cogni-ai-agent-skills --skill github-aw-practices
Or copy as Structured Prompt for Agentā–¼
Please help me install this Agent Skill.
Skill: github-aw-practices
Source: https://github.com/Cogni-AI-OU/cogni-ai-agent-skills/tree/main/github-aw-practices
Command: npx skills add https://github.com/Cogni-AI-OU/cogni-ai-agent-skills --skill github-aw-practices

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams define organizational practices for safely operating GitHub Agentic Workflows (gh-aw), including rollout steps, A/B experiment design, and guardrails that prevent risky production behavior.

Core Features & Use Cases

  • Safe rollout practices: Guides moving from report-only to staged behavior, shadow evaluation, and finally direct production writes.
  • A/B experiment specifications: Defines how to declare experiments in workflow frontmatter and how variants are selected and exposed to prompts for controlled testing.
  • Repository maintenance patterns: Establishes organization-scale conventions for sharing workflows, ownership models, and governance around agent-driven repository changes.

Use case example: A platform team is introducing a new agentic workflow across many repositories and wants to test prompt variations (A/B) in a shadow or staged environment while enforcing safe-outputs and integrity filtering.

Quick Start

Ask the AI to plan a safe rollout and A/B experiment setup for a new gh-aw workflow before enabling production write access.

Frequently Asked Questions about github-aw-practices

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

FAQPage Schema
How do I safely roll out GitHub Agentic Workflows to production?ā–¼

Safely roll out GitHub Agentic Workflows by moving through a staged ladder: start with report-only mode, progress to shadow evaluation, and finally enable direct production writes using safe-outputs and integrity filtering.

How do I set up A/B testing for prompt variations in GitHub workflows?ā–¼

Set up A/B testing for prompt variations by declaring experiment specifications directly in your workflow frontmatter, which controls how variants are selected and exposed during shadow or staged environment testing.

What governance practices are needed for maintaining shared agentic workflows across repositories?ā–¼

Governance practices for shared agentic workflows require establishing organization-scale conventions for repository ownership, sharing infrastructure, and enforcing guardrails around agent-driven repository changes.

Can I test prompt variations in a shadow environment before allowing production write access?ā–¼

Yes, you can test prompt variations in a shadow environment by applying rollout procedures that enforce safe-outputs and integrity filtering before promoting workflows to direct production write access.

What is the best way to plan an enterprise rollout ladder for agent-driven repository changes?ā–¼

Plan an enterprise rollout ladder for agent-driven changes by defining controlled activation stages, specifying A/B experiment coverage, and applying governance references to support metric-driven promotion across repositories.

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