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dflow-markers

Automate reference lookup for dFlow decorators and step markers in Python code.

Updated Aug 23, 2026
Search Tags:#python#reference#markers#decorators#dflow
One-click install
npx skills add https://github.com/ddpoe/pev-agent-nexus --skill dflow-markers
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dflow-markers
Source: https://github.com/ddpoe/pev-agent-nexus/tree/main/plugins/pev/skills/dflow-markers
Command: npx skills add https://github.com/ddpoe/pev-agent-nexus --skill dflow-markers

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a centralized reference for dFlow decorator and step marker syntax, helping developers add or modify @workflow, @task, Step, or AutoStep markers in Python code.

Core Features & Use Cases

  • Canonical reference for dFlow decorator and step marker syntax exists in cortex docs.
  • Locate the reference quickly using cortex_render to render the full dFlow markers guide or cortex_search to find it.
  • Rendered sections include cortex::docs.references.dflow-markers::core-rule, cortex::docs.references.dflow-markers::decorators, cortex::docs.references.dflow-markers::step-markers, cortex::docs.references.dflow-markers::common-mistakes, and cortex::docs.references.dflow-markers::pattern-summary.

Quick Start

Find and consult the dFlow markers reference sections to implement or audit marker usage in your Python projects.

Frequently Asked Questions about dflow-markers

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use dFlow decorators and step markers in Python?▼

To use dFlow decorators in Python, apply @workflow, @task, Step, or AutoStep markers to define workflow logic. This reference provides canonical syntax guidance and structured rules for implementing these markers across large codebases.

What are common mistakes when applying dFlow step markers?▼

Common mistakes with dFlow step markers include incorrect decorator placement and syntax errors. The reference guide includes a dedicated common-mistakes section to help developers audit and avoid frequent marker usage errors in Python code.

How do I find the correct syntax for @workflow and @task decorators?▼

Find the correct syntax for @workflow and @task decorators by using cortex_render to display the full dFlow markers guide. The guide renders structured sections for core rules, decorators, and pattern summaries.

When do I need AutoStep markers in a Python workflow?▼

You need AutoStep markers in a Python workflow when adding or modifying automated steps within large codebases. The dFlow reference provides contextual rendering of step-marker sections to guide proper implementation.

Can I search specific dFlow marker rules without rendering the entire guide?▼

Yes, you can search specific dFlow marker rules without rendering the entire guide by using cortex_search. This function locates targeted reference sections like core-rule or decorators for quick contextual lookup.

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