Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add dbos-inc/agent-skills --skill "dbos-python"
Install specific skill from multi-skill repository
# Description
DBOS Python SDK for building reliable, fault-tolerant applications with durable workflows. Use this skill when writing Python code with DBOS, creating workflows and steps, using queues, using DBOSClient from external applications, or building applications that need to be resilient to failures.
# SKILL.md
name: dbos-python
description: DBOS Python SDK for building reliable, fault-tolerant applications with durable workflows. Use this skill when writing Python code with DBOS, creating workflows and steps, using queues, using DBOSClient from external applications, or building applications that need to be resilient to failures.
license: MIT
metadata:
author: dbos
version: "1.0.0"
organization: DBOS
date: January 2026
abstract: Comprehensive guide for building fault-tolerant Python applications with DBOS. Covers workflows, steps, queues, communication patterns, and best practices for durable execution.
DBOS Python Best Practices
Guide for building reliable, fault-tolerant Python applications with DBOS durable workflows.
When to Apply
Reference these guidelines when:
- Adding DBOS to existing Python code
- Creating workflows and steps
- Using queues for concurrency control
- Implementing workflow communication (events, messages, streams)
- Configuring and launching DBOS applications
- Using DBOSClient from external applications
- Testing DBOS applications
Rule Categories by Priority
| Priority | Category | Impact | Prefix |
|---|---|---|---|
| 1 | Lifecycle | CRITICAL | lifecycle- |
| 2 | Workflow | CRITICAL | workflow- |
| 3 | Step | HIGH | step- |
| 4 | Queue | HIGH | queue- |
| 5 | Communication | MEDIUM | comm- |
| 6 | Pattern | MEDIUM | pattern- |
| 7 | Testing | LOW-MEDIUM | test- |
| 8 | Client | MEDIUM | client- |
| 9 | Advanced | LOW | advanced- |
Critical Rules
DBOS Configuration and Launch
A DBOS application MUST configure and launch DBOS inside its main function:
import os
from dbos import DBOS, DBOSConfig
@DBOS.workflow()
def my_workflow():
pass
if __name__ == "__main__":
config: DBOSConfig = {
"name": "my-app",
"system_database_url": os.environ.get("DBOS_SYSTEM_DATABASE_URL"),
}
DBOS(config=config)
DBOS.launch()
Workflow and Step Structure
Workflows are comprised of steps. Any function performing complex operations or accessing external services must be a step:
@DBOS.step()
def call_external_api():
return requests.get("https://api.example.com").json()
@DBOS.workflow()
def my_workflow():
result = call_external_api()
return result
Key Constraints
- Do NOT call
DBOS.start_workfloworDBOS.recvfrom a step - Do NOT use threads to start workflows - use
DBOS.start_workflowor queues - Workflows MUST be deterministic - non-deterministic operations go in steps
- Do NOT create/update global variables from workflows or steps
How to Use
Read individual rule files for detailed explanations and examples:
references/lifecycle-config.md
references/workflow-determinism.md
references/queue-concurrency.md
References
- https://docs.dbos.dev/
- https://github.com/dbos-inc/dbos-transact-py
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.