Awesome-omni-skill app-platform-router

Routes DigitalOcean App Platform tasks to specialized sub-skills. Use when working with App Platform deployments, migrations, database configuration, networking, or troubleshooting.

install
source · Clone the upstream repo
git clone https://github.com/diegosouzapw/awesome-omni-skill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/development/app-platform-router" ~/.claude/skills/diegosouzapw-awesome-omni-skill-app-platform-router && rm -rf "$T"
manifest: skills/development/app-platform-router/SKILL.md
source content

App Platform Skills — Router

Overview

This skill routes DigitalOcean App Platform tasks to specialized sub-skills. Each sub-skill is optimized for a specific workflow, keeping context focused and responses precise.

Philosophy: These skills are opinionated playbooks, not documentation replicas. They make decisions for you (VPC by default, GitHub Actions for CI/CD, etc.) and only defer to docs for edge cases.

Key Principle: Skills contain only DO-specific knowledge the LLM doesn't have from training. Generic SQL, SDK patterns, and programming concepts are NOT duplicated here.

Trust the AI: The AI assistant should reason about the full workflow, chain skills together when needed, and adapt based on context (greenfield vs brownfield vs troubleshooting). Skills provide domain knowledge, not rigid scripts to follow blindly.

Available Skills

Development Phase

SkillPurposeKey Artifacts
devcontainersLocal development environment with prod parity
.devcontainer/
,
docker-compose.dev.yml

Architecture Phase

SkillPurposeKey Artifacts
designerNatural language → production-ready App Spec
.do/app.yaml
migrationConvert existing apps (Heroku, AWS, etc.) to App Platform
.do/app.yaml
, migration checklist
plannerGenerate staged project plans from design to deployment
Plan/*.md
stage files

Operations Phase

SkillPurposeKey Artifacts
deploymentShip code to production via GitHub Actions
.github/workflows/deploy.yml
troubleshootingDebug running apps with pre-built debug container, analyze logsFixes, diagnostic reports
sandboxIsolated containers for AI agent code execution, testingEphemeral sandboxes

Data Services

SkillPurposeKey Artifacts
postgresFull PostgreSQL setup: schemas, users, permissions, multi-tenantSQL scripts (user-executed)
managed-db-servicesMySQL, MongoDB, Valkey, Kafka, OpenSearch (bindable vars)App spec snippets
spacesS3-compatible object storage configurationCORS config, app spec snippets

AI Services

SkillPurposeKey Artifacts
ai-servicesGradient AI inference endpointsApp spec snippets

Console SDK for AI Assistants

CRITICAL: AI assistants cannot use

doctl apps console
— it opens an interactive WebSocket session that requires human input. Use the
do-app-sandbox
Python package instead.

# Install
uv pip install do-app-sandbox  # or: pip install do-app-sandbox

Two Use Cases (Same Package, Different Skills)

Use CaseSDK MethodSkill
Debug EXISTING app
Sandbox.get_from_id(app_id, component)
troubleshooting
Create NEW sandbox
Sandbox.create()
,
SandboxManager
sandbox
# Debug existing app (troubleshooting skill)
app = Sandbox.get_from_id(app_id="your-app-id", component="web")

# Create new isolated sandbox (sandbox skill)
sandbox = Sandbox.create(image="python")

Full guide: See shared/console-sdk-patterns.md


Routing Decision Tree

┌─────────────────────────────────────────────────────────────────┐
│                        USER REQUEST                              │
└─────────────────────────────────────────────────────────────────┘
                              │
                              ▼
                ┌─────────────────────────┐
                │ Setting up development? │
                └─────────────────────────┘
                              │
                      "local" / "devcontainer"
                              ▼
                      ┌───────────┐
                      │devcontainers│
                      └───────────┘
                              │
                              ▼
                ┌─────────────────────────┐
                │ Designing or creating?  │
                └─────────────────────────┘
                      │           │           │
             "new app"│           │ "migrate" │ "plan" / "staged"
                      ▼           ▼           ▼
              ┌───────────┐  ┌───────────┐  ┌───────────┐
              │ designer  │  │ migration │  │  planner  │
              └───────────┘  └───────────┘  └───────────┘
                              │
                              ▼
                ┌─────────────────────────┐
                │    Shipping code?       │
                └─────────────────────────┘
                              │
                      "deploy" / "ship" / "release"
                              ▼
                      ┌───────────┐
                      │deployment │
                      └───────────┘
                              │
                              ▼
                ┌─────────────────────────┐
                │   Something broken?     │
                └─────────────────────────┘
                              │
                      "broken" / "failing" / "debug" / "logs"
                              ▼
                    ┌───────────────┐
                    │troubleshooting│
                    └───────────────┘
                              │
                              ▼
                ┌─────────────────────────┐
                │ Need isolated execution?│
                └─────────────────────────┘
                              │
                      "sandbox" / "isolated" / "execute code" / "code interpreter"
                              ▼
                      ┌───────────┐
                      │  sandbox  │
                      └───────────┘
                              │
                              ▼
                ┌─────────────────────────┐
                │ Configuring data?       │
                └─────────────────────────┘
                      │           │           │
           "postgres" │  "mysql"  │           │ "storage" / "S3" / "spaces"
           (complex)  │  "mongo"  │           │
                      │  "valkey" │           │
                      │  "kafka"  │           │
                      │  "opensearch"         │
                      ▼           ▼           ▼
              ┌───────────┐  ┌─────────────────────┐  ┌───────────┐
              │ postgres  │  │ managed-db-services │  │  spaces   │
              └───────────┘  └─────────────────────┘  └───────────┘
                              │
                              ▼
                ┌─────────────────────────┐
                │ AI inference needed?    │
                └─────────────────────────┘
                              │
                      "gradient" / "LLM" / "inference"
                              ▼
                      ┌─────────────┐
                      │ ai-services │
                      └─────────────┘

Workflow Chaining

The AI assistant should reason about the full workflow, not just route to a single skill.

Workflow Types

Request TypeWorkflowSkills Chain
Full Greenfield"Build a new app from scratch"devcontainers → designer → planner → deployment
Migration"Migrate from Heroku/AWS"migration → (then full greenfield workflow)
Brownfield"Deploy my existing app"planner → deployment
Enhancement"Add Kafka to my app"managed-db-services → update app.yaml → deployment
Troubleshooting"My app is broken"troubleshooting (standalone)
AI Agent Execution"Run code in isolation"sandbox (standalone)
Specific Task"Set up PostgreSQL"postgres (standalone)

Chaining Logic

┌─────────────────────────────────────────────────────────────────┐
│                    UNDERSTAND THE GOAL                           │
│  Is this a single task or a multi-phase workflow?                │
└─────────────────────────────────────────────────────────────────┘
                              │
              ┌───────────────┴───────────────┐
              │                               │
              ▼                               ▼
       ┌─────────────┐                 ┌─────────────┐
       │ Single Task │                 │  Workflow   │
       │             │                 │             │
       │ Route to    │                 │ Chain       │
       │ one skill   │                 │ multiple    │
       └─────────────┘                 └─────────────┘
              │                               │
              ▼                               ▼
       troubleshooting              migration → designer →
       postgres                     planner → deployment
       spaces
       etc.

Examples

"I want to build a new event-driven app with Kafka"

  1. Start with designer → create
    .do/app.yaml
    with Kafka
  2. Use managed-db-services for Kafka-specific bindable variables
  3. Use planner → generate staged Plan/ files
  4. Execute with deployment skill

"Migrate my Heroku app to DigitalOcean"

  1. Start with migration → convert Procfile, analyze addons
  2. Creates
    .do/app.yaml
    (migration produces this)
  3. Use planner → plan the staged deployment
  4. Execute with deployment skill

"My deployed app keeps returning 502"

  1. Route directly to troubleshooting (single skill, no chaining)
  2. Use debug container, analyze logs, fix issue

"Add PostgreSQL to my existing app"

  1. Use postgres for schema/user setup
  2. Update
    .do/app.yaml
    with database binding
  3. Redeploy with deployment skill

Key Principle

The AI assistant should:

  1. Understand the overall goal (not just the immediate request)
  2. Identify which skills are needed and in what order
  3. Chain skills together, passing artifacts between them
  4. Adapt based on what already exists (greenfield vs brownfield)

Trust the AI to reason. These skills provide domain knowledge, not rigid scripts.


Trigger Phrases Reference

Route ToTrigger Phrases
devcontainers"local dev", "docker compose", "run locally", "devcontainer"
designer"design my app", "create app spec", "new application", "architect"
migration"migrate", "convert", "move from Heroku", "move from AWS"
planner"create a plan", "plan this project", "staged approach", "plan deployment", "how should I deploy"
deployment"deploy", "ship", "release", "GitHub Actions", "CI/CD"
troubleshooting"broken", "failing", "debug", "logs", "502", "crash", "error"
sandbox"sandbox", "isolated environment", "execute code", "code interpreter", "run untrusted code", "agent execution", "hot pool"
postgres"postgres", "postgresql", "schema isolation", "multi-tenant database"
managed-db-services"mysql", "mongodb", "mongo", "valkey", "redis", "kafka", "opensearch"
spaces"object storage", "S3", "Spaces", "file upload", "bucket"
ai-services"gradient", "inference", "LLM endpoint", "AI platform"

Third-Party Integrations (No Skill Needed)

For integrations not covered by dedicated skills (DataDog, Sentry, New Relic, Stripe, etc.):

  1. Get credentials from the vendor
  2. Add to GitHub Secrets (Repo → Settings → Secrets → Actions)
  3. Reference in app spec:
    envs:
      - key: DATADOG_API_KEY
        scope: RUN_TIME
        value: ${DATADOG_API_KEY}  # From GitHub Secrets
    
  4. Follow vendor documentation for SDK/agent setup

→ The agent's training covers vendor-specific patterns — no skill required.


Credential Handling Philosophy

CRITICAL: These skills are designed to keep credentials out of agent hands.

Priority Order (Most to Least Preferred)

1. GITHUB SECRETS (RECOMMENDED DEFAULT)
   ├── Agent never sees credentials
   ├── User manually adds: Repo → Settings → Secrets → Actions
   ├── Workflow references: ${{ secrets.DATABASE_URL }}
   └── Agent generates workflow, user handles secrets

2. APP PLATFORM BINDABLE VARIABLES
   ├── For DO Managed Databases (Postgres, MySQL, MongoDB, etc.)
   ├── Credentials injected via ${db.DATABASE_URL}
   ├── Agent configures app spec, never sees credentials
   └── Best for: Apps using DO managed services

3. LOCAL .ENV + EPHEMERAL APP SPEC
   ├── User maintains .env file locally
   ├── Agent creates temp app spec with placeholders
   └── Substitutes values → Deploys → Deletes temp file

4. EXTERNAL SERVICES
   ├── Same patterns as #1 or #3
   └── User responsible for credential management

Artifact Contracts

All skills produce and consume artifacts with consistent naming:

ArtifactFilenameProducerConsumer
App Spec
.do/app.yaml
designer, migrationdeployment, planner
Deploy Button
.do/deploy.template.yaml
designer, migrationGitHub
Deployment Plan
Plan/0N-*.md
plannerUser, deployment
Dev Environment
.devcontainer/devcontainer.json
devcontainersVS Code, Cursor
Docker Compose
docker-compose.yml
devcontainersDocker Desktop
CI/CD Workflow
.github/workflows/deploy.yml
deployment, plannerGitHub Actions
SQL Scripts
db-*.sql
postgresUser (manual execution)
CORS Config
spaces-cors.json
spacesDO Console

Handoff Protocol

When a skill completes, it should:

  1. State the artifact(s) produced: "Created
    .do/app.yaml
    with 3-component architecture"
  2. Indicate the file path: Relative to project root
  3. Suggest next skill if applicable: "To deploy this, use the deployment skill"

Plugin/Tool Requirements

SkillRequiredOptional
devcontainersfilesystem, docker, gitgh
designerfilesystem
migrationfilesystem, doctl, git, pythongh, DigitalOcean MCP
deploymentfilesystem, doctl, git, pythongh, GitHub MCP
troubleshootingfilesystem, python, doctl
sandboxfilesystem, python, doctl
postgresfilesystem, psql— (scripts only)
managed-db-servicesfilesystem, doctl
spacesfilesystems3cmd (for bucket ops; doctl only manages keys)
ai-servicesfilesystem

Sub-Skill Locations

app-platform-skills/
├── SKILL.md                              # This file (router)
├── skills/
│   ├── devcontainers/SKILL.md
│   ├── designer/SKILL.md
│   ├── migration/SKILL.md
│   ├── deployment/SKILL.md
│   ├── planner/SKILL.md                  # Staged project plans (design to deployment)
│   │   └── templates/                    # Local + Tier 1, 2, 3 stage templates
│   ├── troubleshooting/SKILL.md
│   ├── sandbox/SKILL.md                  # Isolated containers for AI agent execution
│   ├── postgres/SKILL.md
│   ├── managed-db-services/SKILL.md      # MySQL, MongoDB, Valkey, Kafka, OpenSearch
│   ├── spaces/SKILL.md
│   └── ai-services/SKILL.md              # Gradient AI
└── shared/
    ├── app-spec-schema.yaml
    ├── artifact-contracts.md
    └── credential-patterns.md

Opinionated Defaults Summary

DomainDefaultOverride Trigger
NetworkingVPC-only, internal routingUser explicitly requests public
CI/CDGitHub + GitHub ActionsUser specifies GitLab/Bitbucket
SecretsGitHub SecretsUser has existing vault
BuildDockerfileUser explicitly prefers buildpacks
DatabaseDO Managed + Bindable VariablesUser has external DB
MonorepoSupported by default (source_dir)N/A
Python envuv for package/venv managementUser prefers pip/poetry
Node envnvm for version managementUser prefers n/volta

Escalation

If a task doesn't fit any skill or spans multiple skills ambiguously:

  1. Ask clarifying question to determine primary intent
  2. Suggest skill sequence if task is multi-phase
  3. For truly novel tasks, fall back to App Platform documentation: https://docs.digitalocean.com/products/app-platform/