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sickn33/agentic-awesome-skills68 installs

dbos-python

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.

How do I install this agent skill?

npx skills add https://github.com/sickn33/agentic-awesome-skills --skill dbos-python
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill is a collection of best practices and reference documentation for the DBOS Python SDK. It provides guidance on building fault-tolerant applications with durable workflows, covering configuration, workflows, steps, and queues. No security risks or malicious behaviors were identified.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

DBOS Python Best Practices

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.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/sickn33/agentic-awesome-skills/dbos-python">View dbos-python on skillZs</a>