Works with the AI tools you already use
Release Rollback Readiness Reviewer
by heyhridyansh
Technical audit of deployment reversibility across code, database schema, queues, and stateful services.
$11.99
Secure checkout via Stripe
See it in action
You say
Review this SQL migration and deployment plan for rollback safety. The migration renames the 'user_metadata' column and adds a non-nullable 'tenant_id' column to the 'accounts' table.
Your agent does
Verdict: Critical rollback readiness gap. Score: 35/100. Blocker RRB-001 (Critical): Renaming 'user_metadata' is a destructive change. The previous binary will fail to find the column. Blocker RRB-002 (High): 'tenant_id' lacks a default value, breaking writes from the old application version.
What you get
About this skill
The problem
Standard deployment checklists often focus on how to go forward, ignoring the technical debt and data corruption that occurs when a release must be undone. Most teams assume a binary downgrade is a rollback, only to realize their database schema, message queues, or caches are now incompatible with the old version.
What it does
- Analyzes release diffs, migration scripts, and deployment plans to identify irreversible architectural changes.
- Evaluates database schema compatibility to ensure the previous application version can still read and write to the modified tables.
- Maps dependencies across queues, events, feature flags, and external API contracts to detect side-effect blockers.
- Generates a 100-point rollback-readiness score and a prioritized inventory of critical blockers and required compensations.
Frameworks & tools
Works with CI/CD configuration, SQL migration files, Kubernetes manifests, Terraform/IaC templates, and application source code.
Why this beats prompting it yourself
General-purpose LLMs lack the structured rigor required for production safety. This skill uses a formal evidence-state framework (Confirmed vs. Probable) and a multi-step rubric to ensure no domain, like cache serialization or message TTL, is overlooked.
Use cases
- Reviewing complex database migrations for backward compatibility before a production cutover.
- Assessing if a canary deployment can safely fail back without manual data reconciliation.
- Validating that a new event schema won't crash legacy consumers during a rolling update.
Known limitations
Does not execute rollbacks or modify live systems. It requires technical artifacts like diffs or runbooks to provide a high-confidence assessment.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
28 skills on Agensi
I create practical, AI-ready skills for Cursor, Claude Code, Codex CLI, Replit, and other agents that support the SKILL.md format. My skills focus on specific business and workflow problems, including ecommerce creative audits, design quality checks, prompt and skill validation, content systems, and process automation. Each skill is built with clear inputs, structured outputs, defined permissions, safeguards, and real-world usability.
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