GitHub Actions conventions — job_workflow_ref-pinned OIDC trust, 40-char SHA-pinning of every uses (enforced client-side by gha-sha-pin-actions), SLSA L3 via…
UK AISI Inspect AI eval conventions — the dataset/solver/scorer three-piece shape, Docker-sandboxed task isolation, the 200+ pre-built inspect_evals starter tasks, and wrapping…
Multi-environment state conventions — one backend and one STS session per env tier with no credential reuse, per-env cost budgets, drift surfaced never remediated via…
Pulumi conventions — ESC dynamic logins as the GA OIDC pattern for module CI, the archived-CDKTF migration path via pulumi convert, the for_each/provider-alias caveats of…
Reusable IaC module conventions — semver with major bumps for breaking changes, Cosign-signed + Rekor-proofed release artifacts, the tftest-not-apply hook blocking real-cloud test…
Sigstore Cosign conventions — keyless OIDC signing with no long-lived keys, mandatory Rekor transparency-log inclusion verification (the cosign-tlog-required hook refuses…
Terraform / OpenTofu conventions — native *.tftest.hcl over Terratest, the tftest-not-apply guard against real-cloud test billing, OpenTofu 1.11.4 init-breaking changes,…
Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI — from…
Comprehensive Azure Data Factory knowledge base with official documentation sources, CI/CD methods, deployment patterns, and troubleshooting resources
MUST READ before deploying any ADK agent to Google Cloud — covers Cloud Run, Agent Engine, Vertex AI, event-driven agents, and ADK CI/CD pipelines.
Execute software engineer specializing in creating production-ready ADK agents with best practices, code structure, testing, and deployment automation.
Execute software engineer specializing in creating production-ready ADK agents with best practices, code structure, testing, and deployment automation.
Terraform infrastructure specialist for Vertex AI ADK Agent Engine production deployments. Provisions Agent Engine runtime, Code Execution Sandbox, Memory Bank, VPC-SC, IAM, and…
Installs and manages Coolify, an open-source self-hosted PaaS for deploying applications with Docker. Provides a Heroku-like experience on your own infrastructure.
Near-black terminal admin aesthetic: deep carbon canvas (#0b0d10), green accent (#22c55e), blue secondary (#3b82f6), monospace IDs and codes on every key cell, amber warning and…
Infrastructure management using the device profile. Servers are stored in profile.servers[], deployments reference .env.local files via profile.deployments{}.
Deploys infrastructure on Linode (Akamai Cloud) with Linodes, Firewalls, and VLANs. Strong Kubernetes support with Cluster Autoscaler and Akamai edge network integration.
Deploys infrastructure on Vultr with Cloud Compute instances, High-Frequency servers, and VPCs. Excellent value with Kubernetes autoscaling support and global data centers.
Interactively create a new User Story work item as a child of an existing Feature in Azure DevOps.
Initialize Azure DevOps configuration in CLAUDE.md with organization, project, and team settings.
Calls MCP tool ado_link_pr_to_work_item to attach a pull request to an Azure DevOps work item (ArtifactLink for dev.azure.com PRs, Hyperlink for github.com).
Use when the user wants to monitor or watch an Azure DevOps (ADO) pull request build to completion — "monitor PR [url] and let me know when the build completes", "watch this PR…
Validates Azure DevOps projects, area paths, and teams exist with auto-creation of missing resources.
Azure DevOps development workflow — gestisce il ciclo di vita di un work item durante lo sviluppo: attivazione, aggiornamento descrizione, e collegamento alla PR.
Deploy Adobe-powered applications to Vercel, Cloud Run, and Adobe App Builder with proper credential injection and health monitoring.
Implement load testing, auto-scaling, and capacity planning for Adobe API integrations with k6 scripts targeting Firefly, PDF Services, and Photoshop APIs, plus Kubernetes HPA…
Execute Adobe production deployment checklist covering credential management, API health checks, rate limit configuration, and rollback procedures for Firefly Services, PDF…
Przenosi do repo usługę, która już działa na serwerze (kontener albo projekt docker compose), jako stack hosts//services// - tak, żeby pyinfra --dry pokazał zero…
Composite skill — take a merged PR all the way to production. Chains version-bump → changelog-update → ship (tag + release) → deployment-automation or vercel-deploy /…
Track approved container images and write back the matching GitOps manifest changes instead of hand-editing tags across Argo CD applications.
Cloudflare Workers and Pages deployment for Adynato projects. Covers wrangler CLI, reading logs for debugging, KV/D1/R2 storage, environment variables, and common errors.
Vercel deployment and configuration for Adynato projects. Covers environment variables, vercel.json, project linking, common errors like VERCEL_ORG_ID/VERCEL_PROJECT_ID, and CI/CD…
Complete DevOps & Platform Engineering system. CI/CD pipelines, infrastructure as code, container orchestration, observability, incident response, and SRE practices — all…
The complete operating system for building software with AI. From first prompt to production deployment — prompting frameworks, architecture patterns, testing strategies,…
Guide for building Alfred workflow Python packages using the afwf SDK. Use when creating, modifying, or debugging afwf-based Alfred workflows — Script Filters, CLI entry points,…
Recreate the AG-UI dojo Dockerfile and/or the Dart-SDK integration tests that exercise it. Use when the user wants the dojo server image rebuilt from current paths, or wants the…
EARLY ACCESS (in testing) — usable today, but newer than the local single-player path; feedback welcome via a GitHub issue.
Current state of CI/CD automation infrastructure, pre-built Docker images, and performance optimization strategies.
Use when deploying an Agentforce agent to a channel surface: Embedded Service web chat, Slack, Experience Cloud, Agent REST API, or Salesforce Mobile.
Run this repo's GitHub Actions workflows locally in Docker with Agent-CI to validate changes before pushing.
Use when gathering and documenting requirements for a Lightning Service Console deployment: agent workspace layout, page template selection, utility bar composition, macro…
Use when writing or auditing the conversational copy layer of a Salesforce bot or Agentforce agent: utterance authoring strategy, fallback message copy, escalation-criteria…
Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping.
Use when debugging code, tests, builds, deployments, CI failures, runtime errors, framework issues, API migrations, or UI state bugs where Claude Code should consult Noosphere…
Canonical go-live checklist for Agentforce deployments with rehearsed rollback and stakeholder sign-off records.
Expert deployment engineer specializing in CI/CD pipelines, release automation, and deployment strategies.
Déploiement d'agents IA en production avec scalabilité et fiabilité. Se déclenche avec "déployer agent", "agent en production", "agent API", "hosting agent", "agent scaling",…
Implement CI/CD pipelines for AI agent deployment with evaluation gates. Use for GitHub Actions workflows, GitOps with ArgoCD, container image building, and automated testing.
Expert DevOps engineer bridging development and operations with comprehensive automation, monitoring, and infrastructure management.
Expert DevOps engineer bridging development and operations with comprehensive automation, monitoring, and infrastructure management.
Execute Miyabi Agents (Coordinator, CodeGen, Review, Deployment, PR, Issue) with Git Worktree isolation for parallel processing.
Stop AI agents from secretly bypassing your rules. Mechanical enforcement with git hooks, secret detection, deployment verification, and import registries.
Expert Kubernetes specialist mastering container orchestration, cluster management, and cloud-native architectures.
Expert LLM architect specializing in large language model architecture, deployment, and optimization.
Expert LLM architect specializing in large language model architecture, deployment, and optimization.
Docker image reviews, optimization, and step-building guidance. Analyzes Dockerfiles for best practices, security issues, and anti-patterns.
Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check deployment status, verify serving endpoints, or clean up resources by undeploying models…
Manages Agent Platform serving endpoints. Use when you need to create, list, describe, update, or delete serving endpoints for model deployment on Agent Platform.
Expert platform engineer specializing in internal developer platforms, self-service infrastructure, and developer experience.
Measure and improve the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology.