dipeo-backend

Router skill for DiPeO backend ecosystem (server/ and cli/): FastAPI server, CLI tools, database, MCP integration. Use when task mentions CLI commands, server endpoints, database queries, or MCP tools. For simple tasks, handle directly; for complex work, escalate to dipeo-backend agent.

12 stars

Best use case

dipeo-backend is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Router skill for DiPeO backend ecosystem (server/ and cli/): FastAPI server, CLI tools, database, MCP integration. Use when task mentions CLI commands, server endpoints, database queries, or MCP tools. For simple tasks, handle directly; for complex work, escalate to dipeo-backend agent.

Teams using dipeo-backend should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/dipeo-backend/SKILL.md --create-dirs "https://raw.githubusercontent.com/sorryhyun/DiPeO/main/.claude/skills/dipeo-backend/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/dipeo-backend/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How dipeo-backend Compares

Feature / Agentdipeo-backendStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Router skill for DiPeO backend ecosystem (server/ and cli/): FastAPI server, CLI tools, database, MCP integration. Use when task mentions CLI commands, server endpoints, database queries, or MCP tools. For simple tasks, handle directly; for complex work, escalate to dipeo-backend agent.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# DiPeO Backend Router

**Domain**: Backend ecosystem including FastAPI server (`server/`), CLI tools (`cli/`), message store, and MCP integration. Database schema initialization is in `/dipeo/infrastructure/execution/state/persistence_manager.py` (package-maintainer domain).

## Quick Decision: Skill or Agent?

### ✅ Handle Directly (This Skill)
- **Simple changes**: <20 lines, 1-2 files
- **Read-only tasks**: Understanding code, reviewing configs, debugging logs
- **Documentation lookup**: CLI help, API signatures, database schema
- **Small config tweaks**: Environment variables, command flags

### ❌ Escalate to Agent
- **Complex features**: Multi-file changes, new CLI commands, database migrations
- **Architecture changes**: New API endpoints, MCP tool implementation
- **Cross-cutting concerns**: Affects CLI + database + execution engine
- **Uncertain scope**: Not sure how many files will change

**Agent**: `Task(dipeo-backend, "your detailed task description")`

## Documentation Sections (Load On-Demand)

Use `Skill(doc-lookup)` with these anchors when you need detailed context:

**Core Responsibilities**:
- `docs/agents/backend-development.md#core-responsibilities` - CLI, FastAPI server, database, MCP server

**Implementation Patterns**:
- `docs/agents/backend-development.md#common-patterns` - CLI, background execution, database, MCP patterns

**Troubleshooting**:
- `docs/agents/backend-development.md#troubleshooting` - Server, CLI, database, MCP issues

**MCP Integration**:
- `docs/features/mcp-server-integration.md#quick-start` - Setup and usage guide
- `docs/features/chatgpt-mcp-integration.md#quick-start` - ChatGPT connection

**Example doc-lookup call**:
```bash
python .claude/skills/doc-lookup/scripts/section_search.py \
  --query "cli-commands" \
  --paths docs/agents/backend-development.md \
  --top 1
```

## Escalation to Other Agents

**To dipeo-package-maintainer**: Execution handlers, service architecture, domain models, LLM infrastructure
**To dipeo-codegen-pipeline**: GraphQL schema changes, generated type issues, TypeScript specs

## Typical Workflow

1. **Assess task complexity**: Simple (handle) vs. complex (escalate)
2. **If simple**: Load relevant section via `Skill(doc-lookup)`
3. **Execute**: Make changes or provide answer
4. **If complex**: Escalate with `Task(dipeo-backend, "task details")`

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