Skills temporal-python-pro

📦

temporal-python-pro

Name: temporal-python-pro
Author: sickn33

Content revision r1 Safe ⚙️ External commands

Build Temporal Python Workflows

Temporal workflows can fail in subtle ways when determinism, retries, and activities are designed poorly. This skill guides Python SDK workflow design, testing, and production operations.

Supports: Claude Codex Code(CC)

🥉 78 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

Review the Skillstore skill "temporal-python-pro" from https://skillstore.io/skills/sickn33-temporal-python-pro.md and its manifest at https://skillstore.io/api/skills/sickn33-temporal-python-pro/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/sickn33-temporal-python-pro.md Signed manifest GET /api/skills/sickn33-temporal-python-pro/manifest Signed lockfile GET /api/skills/sickn33-temporal-python-pro/lockfile

Test it

Using "temporal-python-pro". Design an order fulfillment workflow with payment, inventory, shipment, and refund compensation.

Expected outcome:

A workflow boundary plan with payment, inventory, and shipment activities.
A compensation sequence for refund, stock release, and shipment cancellation.
Retry, timeout, signal, and query recommendations for each stage.

Using "temporal-python-pro". Review a worker deployment plan for three task queues and mixed async and blocking activities.

Expected outcome:

A task queue and worker sizing review.
Guidance for executor use with blocking libraries.
Operational checks for shutdown, metrics, tracing, and queue lag.

Using "temporal-python-pro". Create a test plan for a month-long approval workflow.

Expected outcome:

A time-skipping workflow test strategy.
Activity mocks for approval, timeout, rejection, and escalation paths.
Replay and integration checks for release confidence.

Security Audit

Safe

v4 • 7/7/2026 Open versioned report

All static findings are false positives after contextual review. The external command alerts are Markdown inline code spans naming Temporal Python APIs, not executable Ruby or shell backticks. The network reconnaissance alert cites read-only workflow query guidance and does not describe probing or discovery.

Files scanned

371

Lines analyzed

Review items

False positives ignored

Risk Factors

No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.

Audited by: codex View Audit History →

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Open versioned report

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https://skillstore.io/skills/sickn33-temporal-python-pro/audits/4?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Academic citations (APA · BibTeX · CFF)

APA citation

sickn33. (2026). temporal-python-pro security audit report (audit version 4) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-temporal-python-pro/audits/4

BibTeX citation

@techreport{sickn33-sickn33-temporal-python-pro-2026,
  author = {sickn33},
  title = {temporal-python-pro security audit report (audit version 4)},
  institution = {Skillstore},
  year = {2026},
  number = {4},
  url = {https://skillstore.io/skills/sickn33-temporal-python-pro/audits/4},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "temporal-python-pro security audit report (audit version 4)"
version: "unspecified"
type: report
authors:
  - name: "sickn33"
date-released: "2026-07-07"
url: "https://skillstore.io/skills/sickn33-temporal-python-pro/audits/4"
identifiers:
  - type: other
    value: "skillstore:sickn33-temporal-python-pro:audit:4"
    description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: High

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

Design Durable Business Workflows

Plan Temporal workflows for payments, fulfillment, approvals, or other long-running business processes.

Review Worker Operations

Evaluate worker deployment, task queues, graceful shutdown, observability, and scaling practices.

Plan Workflow Test Coverage

Create test strategies for activities, replay checks, time skipping, compensation paths, and integration flows.

Try These Prompts

Explain the Basics

Explain how Temporal Python workflows, activities, workers, task queues, signals, and queries fit together for my project.

Design a Workflow

Design a Temporal Python workflow for this process: [describe steps]. Include activities, retries, timeouts, signals, queries, and compensation.

Review Reliability Risks

Review my Temporal Python workflow design for determinism, idempotency, retry policy, timeout coverage, and activity boundaries.

Audit Production Readiness

Audit this Temporal Python deployment plan for worker scaling, observability, replay testing, versioning, graceful shutdown, and operational failure modes.

Best Practices

Keep workflow logic deterministic and move external I/O into activities.
Configure timeouts, retries, and non-retryable errors for every activity.
Validate changes with unit, integration, and replay tests before deployment.

Avoid

Calling external APIs directly from workflow code.
Running blocking libraries inside async activities without an executor.
Deploying workers without registered workflows, task queues, and graceful shutdown.

Frequently Asked Questions

Does this skill write Temporal Python code?

It can help design and review code, but generated code still needs local tests and project-specific validation.

Can it help with Temporal testing?

Yes. It covers time skipping, activity mocks, integration tests, replay checks, and failure injection planning.

Does it support production operations?

Yes. It provides guidance for worker scaling, graceful shutdown, monitoring, tracing, and task queue design.

Is it only for microservices?

No. It also applies to batch pipelines, human approvals, durable entities, and long-running business processes.

Can it diagnose a live Temporal cluster?

It can guide analysis using logs, metrics, histories, and configuration that you provide.

Which AI tools can use this skill?

The report lists support for Claude, Codex, and Claude Code.

Developer Details

Author

sickn33

License

MIT

Skillstore revision

Version notice

The author did not declare a version.

Repository

https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/temporal-python-pro

Ref

9f814fc6a43fd99946f2da5e0df231c65a38bc76

Maintenance freshness

7/18/2026

Usage

7 downloads · 128 views

File structure

📄 SKILL.md