Run preflight checks and analyze changes before production deployment.
npx skills add https://github.com/zzstoatzz/plyr.fm --skill deploy-zzstoatzz
Please help me install this Agent Skill. Skill: deploy Source: https://github.com/zzstoatzz/plyr.fm/tree/main/.claude/skills/deploy Command: npx skills add https://github.com/zzstoatzz/plyr.fm --skill deploy-zzstoatzz
This skill provides a structured, guard-railed deployment workflow that performs preflight checks before releasing to production, reducing release risk and manual overhead.
Follow the guided preflight deployment steps and confirm before executing the release.
High-intent search queries and answers about installing and using this skill.
Automating preflight checks for production deployment involves verifying a clean git working tree, ensuring the main branch is up-to-date with origin, and confirming no open PRs exist. This structured workflow analyzes codebase changes since the last release to reduce manual overhead and release risk.
Preflight deployment automation is a structured workflow that analyzes backend, frontend, and docs changes since the last release to classify them and determine the correct release path. It applies deterministic release commands with safety prompts to ensure auditable and safe production deployments.
Yes, automating preflight release workflows requires git and a task runner like just, along with access to the origin repository. These dependencies ensure the deployment process remains auditable and capable of performing structured checks before releasing to production.
A guarded deployment workflow selects the correct release path by analyzing changes since the last release and classifying them into backend, frontend, or docs categories. It then proposes the appropriate deterministic release command while applying safety prompts before execution.
The best way to prevent risky releases is using a structured preflight workflow that checks for a clean working tree, verifies branch synchronization with origin, and detects open PRs. It analyzes code changes to propose deterministic release commands and provides post-deployment status verification.
Yes, you can verify deployment status and notify stakeholders after a production release through post-deployment reminders built into the preflight workflow. This ensures the deployed changes are confirmed and relevant parties are informed once the guarded release process completes.
JoernStoehlerEnforce Git workflow conventions for commits, diffs, and branch reviews.
DonchitosOrchestrate a multi-agent release pipeline from planning to post-release monitoring.
first-flukeAutomate Git branching, merging, and conflict management workflows.
ResearchMonkeyAutomates CI/CD health checks, deployment safety, and environment configuration across staged and production environments.
