rte-agent-release-train-engineer
Creates pull requests, deployment checklists, and manages release processes
Creates pull requests, deployment checklists, and manages release processes
バージョン整合性チェック→提案→承認→GitHub Release作成までの標準リリースフロー(マルチエコシステム対応)
Initial Convex workspace setup in Coder workspaces with self-hosted Convex deployment, authentication configuration, Docker setup, and environment variable generation
Comprehensive management of MCP Gateway (gh-aw-mcpg) for running GitHub MCP servers. Use when: (1) Starting/stopping MCP Gateway containers with GitHub MCP server support, (2) Debugging gateway connection or authentication issues, (3) Configuring Copilot CLI to use MCP Gateway via HTTP, (4) Setting up gateway for use with AWF (Agentic Workflow Firewall), (5) Troubleshooting MCP server initialization or token passthrough problems, (6) Managing Docker-based MCP server lifecycle. Includes scripts for gateway startup, health checking, debugging, and Copilot CLI integration.
Scaffolds a new Google Antigravity project with the standard .agent harness, rules, and workflows.
Creates and manages Git worktrees for parallel development workflows. Use when working on multiple features simultaneously, reviewing PRs without disrupting current work, or setting up parallel AI agent sessions.
Linux VM bootstrap verification skill. MUST BE USED when setting up new VMs or verifying environment. Supports modes: check (warn-only), install (operator-confirmed), strict (CI-ready). Enforces Linux-only + mise as canonical; honors preference brew→npm (with apt fallback). Verifies required tools: mise, node, pnpm, python, poetry, gh, railway, bd, tmux, jq, rg. Handles optional tools as warnings: tailscale, playwright, docker, bv. Never prints/seeds secrets; never stores tokens in repo/YAML; Railway vars only for app runtime env. Safe on dirty repos (refuses and points to dirty-repo-bootstrap skill, or snapshots WIP branch). Keywords: vm, bootstrap, setup, mise, toolchain, linux, environment, provision, verify, new vm
Risk-based testing, verification, and CI/CD quality gating. Use when asked to test or verify changes, create test plans, review CI/CD workflows, or assess release readiness.
Verify all requirements before production deployment. Comprehensive checklist covering environment variables, database migrations, security, performance, monitoring, and payment configuration.
Remove a specific deployment. Requires authentication. Use for Agentuity cloud platform operations
Evaluate pipeline runs against ACCEPTANCE_MATRIX.md. Use after feature releases to verify acceptance criteria.
Complete SLSA implementation playbook: clarify SLSA vs SBOM confusion, classify runner configurations, implement verification workflows, and adopt incrementally from Level 1 to Level 3.
Debugs Docker build failures, container runtime errors, platform architecture issues (ARM64/AMD64/WSL2), AWS ECR/ECS pull failures, and optimizes Docker workflows. Use when encountering Docker build errors, container crashes, ECR authentication issues, ECS deployment problems, performance issues, networking failures, volume permission errors, or when working with multi-platform Docker images.
Promote staging commit to production and deploy using SSH and Docker Compose.
Define the holistic testing approach across functional, non-functional, and automation layers for the initiative.
Use when creating or editing skills, before deployment, to verify they work under pressure and resist rationalization - applies RED-GREEN-REFACTOR cycle to process documentation by running baseline without skill, writing to address failures, iterating to close loopholes
Teaches effective composition of multiple @j0kz MCP tools into cohesive workflows using MCPPipeline and orchestrator-mcp, including dependency management, error handling strategies, and pre-built w...
Will utilise buildkite read only mcp server to solve specific buildkite issues encountered
Implement production deployment strategies including secrets management, blue-green deployments, canary releases, and upgrade procedures. Use when deploying charts to production, implementing secrets management, setting up blue-green or canary deployments, configuring chart testing strategies, or planning upgrade and rollback procedures.