Agent skill

Dbos Python

by aiskillstore in aiskillstore/marketplace

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

MITAuto-check passed

Install Dbos Python

skills CLI
$ npx skills add aiskillstore/marketplace --skill dbos-python -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aiskillstore/marketplace dbos-python --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sickn33/dbos-python .claude/skills/dbos-python && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
dbos-python
GitHub stars
430
Used in
4 other repos
Token cost
~742 tokens
SKILL.md length
195 words
Files
36 (incl. references)
Skills in repo
1,108
Repo updated
First seen
Licence
MIT

At a glance

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

  • Writing Python code with DBOS
  • SKILL.md covers When to Use, Rule Categories by Priority, Critical Rules and How to Use, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Creating workflows and steps

What it does

Dbos Python is an agent skill from aiskillstore/marketplace. 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.

Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. The skill folder holds 36 other files, including reference files (for example `AGENTS.md`, `references/_sections.md` and `references/advanced-async.md`).

It works with Python. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified. The licence is MIT.

When your agent uses it

  • Writing Python code with DBOS
  • Creating workflows and steps
  • Using DBOSClient from external applications
  • Building applications that need to be resilient to failures

Example prompts

  • “/dbos-python”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit ad8daf7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.dbos.dev
    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dbos Python loads about 742 tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 195 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~742
With references · SKILL.md plus every file in references/, read only if the agent opens them
~14k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aiskillstore/marketplace at commit ad8daf7, republished under its MIT licence (© aiskillstore). 195 words, ~742 tokens.

Download SKILL.mdSave it as .claude/skills/dbos-python/SKILL.md (or your agent's skills folder). This skill also uses 35 other files; get the full folder from GitHub.
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.
risk
safe
source
https://docs.dbos.dev/
license
MIT
metadata.author
dbos
metadata.version
1.0.0
metadata.organization
DBOS
metadata.date
January 2026
metadata.abstract
Comprehensive guide for building fault-tolerant Python applications with DBOS. Covers workflows, steps, queues, communication patterns, and best practices for…

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:

python
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:

python
@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

© aiskillstore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 35 other files (references) in skills/sickn33/dbos-python of aiskillstore/marketplace.

  • SKILL.md
  • AGENTS.md
  • references/_sections.md
  • references/advanced-async.md
  • references/advanced-patching.md
  • references/advanced-versioning.md
  • references/client-enqueue.md
  • references/client-setup.md
  • references/comm-events.md
  • references/comm-messages.md
  • references/comm-streaming.md
  • references/lifecycle-config.md
  • references/lifecycle-fastapi.md
  • references/pattern-classes.md
  • references/pattern-debouncing.md
  • references/pattern-idempotency.md
  • references/pattern-scheduled.md
  • references/pattern-sleep.md
  • references/queue-basics.md
  • references/queue-concurrency.md
  • … and 16 more

Open the folder on GitHubat commit ad8daf7

Used in 4 other repositories

We found 13 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.

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Works with

Questions about Dbos Python

What does Dbos Python do?

DBOS Python SDK for building reliable, fault-tolerant applications with durable workflows. Dbos Python is an agent skill from aiskillstore/marketplace. DBOS Python SDK for building reliable, fault-tolerant applications with durable workflows.

When should I use Dbos Python?

Dbos Python fits situations like: writing Python code with DBOS; creating workflows and steps; using DBOSClient from external applications; building applications that need to be resilient to failures.

How do I install Dbos Python in Claude Code?

Run `npx skills add aiskillstore/marketplace --skill dbos-python -a claude-code`. Or copy the skill folder (skills/sickn33/dbos-python in aiskillstore/marketplace) into .claude/skills/dbos-python in your project. Claude Code loads it when a task matches its description.

How do I install Dbos Python in Codex?

Run `npx skills add aiskillstore/marketplace --skill dbos-python -a codex`. Or copy the skill folder (skills/sickn33/dbos-python in aiskillstore/marketplace) into .agents/skills/dbos-python in your project. Codex loads it when a task matches its description.

Can I use Dbos Python in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aiskillstore/marketplace --skill dbos-python -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dbos-python, .gemini/skills/dbos-python, .github/skills/dbos-python and .opencode/skills/dbos-python in your project.

What does Dbos Python need to run?

SKILL.md names no scripts, command-line tools or credentials: Dbos Python is instructions for the agent only. Our summary lists: Python 3.

Does Dbos Python access the network?

SKILL.md names 2 domains. As links in the text: docs.dbos.dev and github.com. This is read from the text; nothing was executed.

Is Dbos Python safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Dbos Python use?

Dbos Python is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dbos Python use?

About 742 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 13k tokens, read only when the agent opens those files.

What are the alternatives to Dbos Python?

Skills that share tags, products or a category with Dbos Python: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dbos Python?

aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,108 skills in this directory. The repository was last updated on October 7, 2026.

Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.