dipeo-backend — FastAPI server setup dipeo-backend, community, FastAPI server setup, ide skills, CLI tool integration, MCP integration, database schema initialization, backend ecosystem development, block diagram UI, AI agent development

v1.0.0
GitHub

About this Skill

Perfect for AI Agents needing advanced backend ecosystem development with FastAPI and CLI tools. dipeo-backend is a skill for building tools via block diagram UI, encompassing a backend ecosystem with FastAPI server, CLI tools, and MCP integration

Features

Utilizes FastAPI server for backend infrastructure
Employs CLI tools for efficient task management
Integrates with MCP for seamless communication
Initializes database schema via persistence_manager.py
Supports read-only tasks for understanding code and reviewing configs

# Core Topics

FastAPI server setup CLI tool integration MCP integration database schema initialization backend ecosystem development block diagram UI
sorryhyun sorryhyun
[12]
[2]
Updated: 2/6/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Locale and body language aligned
Review Score
8/11
Quality Score
42
Canonical Locale
en
Detected Body Locale
en

Perfect for AI Agents needing advanced backend ecosystem development with FastAPI and CLI tools. dipeo-backend is a skill for building tools via block diagram UI, encompassing a backend ecosystem with FastAPI server, CLI tools, and MCP integration

Core Value

Empowers agents to build and manage complex backend infrastructure using FastAPI server, CLI tools, and message store integration, while leveraging MCP integration for seamless communication.

Ideal Agent Persona

Perfect for AI Agents needing advanced backend ecosystem development with FastAPI and CLI tools.

↓ Capabilities Granted for dipeo-backend

Building tools via block diagram UI
Debugging logs and understanding codebase
Initializing database schema with persistence manager

! Prerequisites & Limits

  • Requires Python environment
  • Limited to FastAPI server and CLI tools
  • Database schema initialization requires access to persistence_manager.py

Why this page is reference-only

  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Install Path

Start With Installation And Validation

If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Trusted Recheck

Cross-Check Against Trusted Picks

If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Workflow

Move To Workflow Collections For Team Rollout

When the goal shifts from a single skill to team handoff, approvals, and repeatable execution, move into workflow collections.
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is dipeo-backend?

Perfect for AI Agents needing advanced backend ecosystem development with FastAPI and CLI tools. dipeo-backend is a skill for building tools via block diagram UI, encompassing a backend ecosystem with FastAPI server, CLI tools, and MCP integration

How do I install dipeo-backend?

Run the command: npx killer-skills add sorryhyun/DiPeO/dipeo-backend. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for dipeo-backend?

Key use cases include: Building tools via block diagram UI, Debugging logs and understanding codebase, Initializing database schema with persistence manager.

Which IDEs are compatible with dipeo-backend?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for dipeo-backend?

Requires Python environment. Limited to FastAPI server and CLI tools. Database schema initialization requires access to persistence_manager.py.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add sorryhyun/DiPeO/dipeo-backend. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use dipeo-backend immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

dipeo-backend

Install dipeo-backend, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

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
1python .claude/skills/doc-lookup/scripts/section_search.py \
2  --query "cli-commands" \
3  --paths docs/agents/backend-development.md \
4  --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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