DBOS Python Best Practices

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Guides your agent to build Python apps with DBOS durable workflows that survive crashes and restarts.

Then ask your AI: use the DBOS Python Best Practices skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add it as a step in a pipeline you build on Ahel, or connect Ahel to Claude, ChatGPT, Cursor, Claude Code or Codex and ask your AI to use it.

About this skill

Guide for building reliable, fault-tolerant Python applications with DBOS durable workflows. Use when adding DBOS to existing Python code, creating workflows and steps, or using queues for concurrency control.

What this skill tells your AI

The instructions your AI receives, as published by sickn33/agentic-awesome-skills in skills/dbos-python/SKILL.md and read by Ahel’s review.

Guide for building reliable, fault-tolerant Python applications with DBOS durable workflows.

When to Use

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

PriorityCategoryImpactPrefix
1LifecycleCRITICALlifecycle-
2WorkflowCRITICALworkflow-
3StepHIGHstep-
4QueueHIGHqueue-
5CommunicationMEDIUMcomm-
6PatternMEDIUMpattern-
7TestingLOW-MEDIUMtest-
8ClientMEDIUMclient-
9AdvancedLOWadvanced-

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_workflow or DBOS.recv from a step
  • Do NOT use threads to start workflows - use DBOS.start_workflow or 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

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Signals

GitHub stars
47k
Forks
7k
Last commit
Oct 2026
Advanced
Item type
skill
Key
dbos-python
Source
github.com/sickn33/agentic-awesome-skills