Release Readiness

Assess release readiness from PM, Engineer, Review, execution, and QA artifacts.

2|Updated Apr 26, 2026
One-click install
npx skills add https://github.com/anderson-joyle/claude-a-team --skill release-readiness-anderson-joyle
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Release Readiness
Source: https://github.com/anderson-joyle/claude-a-team/tree/main/skills/release-readiness
Command: npx skills add https://github.com/anderson-joyle/claude-a-team --skill release-readiness-anderson-joyle

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps teams confidently decide whether code changes can be released safely by evaluating evidence across PM, Engineer, Review, Execution, and QA artifacts without guessing.

Core Features & Use Cases

  • Evidence-based release decision: Produces a grounded recommendation (ready, ready with caveats, or not ready) using upstream artifacts and recorded results.
  • Risk and follow-up validation: Checks for blocking issues, unresolved critical follow-ups, rollback readiness, observability readiness, and documentation readiness.
  • Strict QA-aware gating: Ensures failed QA is treated as a release blocker and prevents inventing release evidence.

Quick Start

Ask the system to run Release Readiness after QA results exist to get a final ship/hold recommendation backed by the artifacts.

Frequently Asked Questions about Release Readiness

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

FAQPage Schema
How do I decide if code changes are ready for release using QA validation and risk assessment evidence?

Release readiness is determined by assessing evidence across PM, Engineer, Review, execution, and QA artifacts to produce a grounded ship or hold recommendation. This prevents guessing by enforcing strict gating rules that require real upstream validation results.

What is the best way to validate rollback and observability readiness before shipping code changes?

Validating rollback and observability readiness requires checking for blocking issues, unresolved critical follow-ups, and documentation within your release artifacts. This gating process ensures all safety criteria are met before shipping code changes.

How do I enforce strict gating rules so that failed QA blocks a production release?

You enforce strict QA-aware gating by requiring real execution and QA artifacts before approving a release. Failed QA outcomes are treated as automatic release blockers, preventing the system from inventing validation evidence or bypassing safety checks.

Can I get a release readiness recommendation if there are open critical follow-ups or medium risk issues?

Yes, release readiness can be assessed for workflows with medium or high risk and open follow-ups. The system evaluates these conditions alongside QA artifacts and outputs a validated recommendation of ready, ready with caveats, or not ready.

When should I not use an automated release readiness assessment for my software engineering workflow?

You should not use automated release readiness assessment before implementation has run and QA has produced outcomes. The strict gating rules require real upstream execution and QA artifacts, so it cannot validate changes lacking recorded test results.