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Route deployment tasks to the right library skill. Detects intent and returns specific platform skill file paths to load.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
Deterministic AI development workflow orchestrator. Manages task boards (.jonggrang/jonggrang-tasks.json), runs 16-phase pipelines (BUGFIX/SMALL/MEDIUM/LARGE), installs lifecycle hooks for Claude Code and OpenCode, and coordinates five specialist roles (Lead/Developer/Reviewer/TestLead/Tester). Use when planning features, executing multi-step development workflows, or orchestrating AI coding agents. Run via npx jonggrang.
16-phase feature orchestration workflow. Runs in the main thread as Kernel Mode. Coordinates the Lead→Developer→Reviewer→TestLead→Tester assembly line.
Protocol for agents to write structured outputs that survive session resets and are findable by the orchestrator.
GitHub workflow automation with the gh CLI — pull requests, issues, releases, the REST/GraphQL API, and safe message escaping. Auth via GH_TOKEN (set in global settings, attached to the sandbox env).
GitLab workflow automation with the glab CLI — merge requests, issues, CI, releases, and safe message escaping. Auth via GITLAB_TOKEN (set in global settings, attached to the sandbox env).
Prevents premature exit and infinite loops. Three mechanisms: Completion Promises, Scratchpads, Loop Detection.
| name | gateway-deploy |
| description | Route deployment tasks to the right library skill. Detects intent and returns specific platform skill file paths to load. |
| type | gateway |
| tier | core |
| domains | ["deploy","ops","infrastructure","devops"] |
| trigger | deploy, release, publish, ship to production, setup hosting, hosting provider |
You are the Deployment Gateway. Your job is to detect intent from the current deployment task and return the exact library skill paths that should be loaded. Do NOT execute the deployment — only route to the right knowledge.
Read the task description and match against these patterns:
| Intent Keywords | Load Skill |
|---|---|
aws, ec2, ecs, s3, cloudfront, elastic beanstalk | skills/library/deploy/aws/SKILL.md |
gcp, google cloud, cloud run, compute engine, app engine | skills/library/deploy/gcp/SKILL.md |
cloudflare, pages, workers, wrangler | skills/library/deploy/cloudflare/SKILL.md |
vercel, next.js hosting | skills/library/deploy/vercel/SKILL.md |
netlify | skills/library/deploy/netlify/SKILL.md |
railway, nixpacks | skills/library/deploy/railway/SKILL.md |
coolify, self-hosted paas | skills/library/deploy/coolify/SKILL.md |
fly, fly.io, firecracker, flyctl | skills/library/deploy/fly/SKILL.md |
vps, ssh, scp, rsync, baremetal, ubuntu, debian, systemd, pm2 | skills/library/deploy/ssh-vps/SKILL.md |
kubernetes, k8s, kubectl, helm, pods, deployments | skills/library/deploy/kubernetes/SKILL.md |
docker registry, dockerhub, ghcr, ecr, push image | skills/library/deploy/docker-registry/SKILL.md |
Return ONLY this — no prose:
GATEWAY_DEPLOY:
Domain: deploy
Skills to load:
- [absolute/path/to/SKILL.md]
Instructions: Read the above skill files before proceeding with your deployment task.
If no specific skill matches, return:
GATEWAY_DEPLOY:
Domain: deploy
Skills to load: none (proceed with general deployment patterns or use scaffold-deploy to generate configs)