release-prep
Use when preparing a production release or release candidate - provides a checklist-driven workflow for validation, versioning, build optimization, documentation updates, and deployment readiness.
Works with
--- name: release-prep description: Use when preparing a production release or release candidate - provides a checklist-driven workflow for validation, versioning, build optimization, documentation updates, and deployment readiness. license: MIT --- # Release Prep ## Overview Standardize release preparation with a safety-first checklist: validate quality and security, update versions and docs, build production artifacts, and prepare rollout/rollback plans. ## When to Use - Preparing a release candidate or production deploy - Coordinating pre-release validation and documentation - Ensuring versioning, changelog, and build steps are consistent Avoid when: - You only need a quick version bump or doc update - The release process is owned by a separate automation pipeline ## Quick Reference | Task | Load reference | | --- | --- | | Release preparation | `skills/release-prep/references/prepare-release.md` | ## Workflow 1. Confirm release scope and version. 2. Load the release preparation reference. 3. Run pre-release validation (tests, security, performance). 4. Update versions, changelog, and docs. 5. Build production artifacts and validate. 6. Produce deployment checklist and rollback plan. ## Output - Release readiness checklist - Validation results and blockers - Deployment plan with rollback steps ## Common Mistakes - Skipping security or performance checks - Shipping without updating changelog or docs - Building artifacts without validating environment parity
More Deployment & CI/CD skills
azure-enterprise-infra-planner
microsoft/azure-skills
Architect and provision enterprise Azure infrastructure from workload descriptions. For cloud architects and platform engineers planning networking, identity, security, compliance, and multi-resource topologies with WAF alignment. Generates Bicep or Terraform directly (no azd). WHEN: 'plan Azure infrastructure', 'architect Azure landing zone', 'design hub-spoke network', 'plan multi-region DR topology', 'set up VNets firewalls and private endpoints', 'subscription-scope Bicep deployment', 'Azure Backup for VM workloads'. PREFER azure-prepare FOR app-centric workflows.
azure-kubernetes-app-deploy
microsoft/azure-skills
Use when deploying an existing web application or API to an already-running Azure Kubernetes Service cluster. Detects the framework, generates a Dockerfile and Kubernetes manifests, validates against AKS Deployment Safeguards, and deploys with verification. WHEN: deploy app to AKS, deploy to existing AKS cluster, containerize app for Kubernetes, generate K8s manifests for Azure, set up CI/CD for AKS, my AKS deployment is failing safeguard checks, I have a Django/Express/Spring Boot app to run on AKS. DO NOT USE FOR: creating or provisioning an AKS cluster (use azure-kubernetes), assessing migration to AKS Automatic (use azure-kubernetes-automatic-readiness), or deploying to non-AKS targets like Web Apps, Container Apps, or Functions.
finetuning
microsoft/azure-skills
Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file upload, calibrate grader, deploy fine-tuned model, evaluate fine-tuned model. DO NOT USE FOR: general model deployment without fine-tuning (use deploy-model), agent creation (use agents), prompt optimization without training (use prompt-optimizer).
