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content-creation

Convert content requests into structured drafts for social and publishing formats.

1|Updated May 9, 2026
Search Tags:#social media#drafting#regression suite#blog writing#content outline#fixture testing
One-click install
npx skills add https://github.com/weiping/gbrain-cn --skill content-creation-weiping
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: content-creation
Source: https://github.com/weiping/gbrain-cn/tree/main/test/fixtures/openclaw-compact-resolver/skills/content-creation
Command: npx skills add https://github.com/weiping/gbrain-cn --skill content-creation-weiping

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps you quickly turn a vague idea into ready-to-publish social content by providing a consistent content-creation workflow.

Core Features & Use Cases

  • Drafting for multiple formats: Supports creating a tweet, a full post, or a new article from a topic or prompt.
  • Fixture-oriented behavior for testing: Acts as a lightweight stub used in a compact-resolver regression suite, ensuring deterministic behavior during automated tests.
  • Use Case: When validating an agent’s routing for “content drafting” requests, you can confirm the system selects the correct skill without needing full production content generation.

Quick Start

Ask your AI agent to draft a tweet using the content-creation skill in the test fixture workflow.

Frequently Asked Questions about content-creation

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

FAQPage Schema
How do I draft a tweet or social media post from a vague topic?▼

Drafting tweets and posts from a vague topic requires a structured content-creation workflow that converts basic ideas into ready-to-publish formats. This skill provides a deterministic fixture stub to quickly generate structured drafts for social media.

What is a deterministic fixture stub used for in content creation regression testing?▼

A deterministic fixture stub in content creation validates an agent's routing for drafting requests within a compact-resolver regression suite. It ensures the system selects the correct skill during automated tests without needing full production content generation.

How do I outline a new article from a provided topic?▼

Outlining a new article from a provided topic involves using a content-creation workflow that transforms the prompt into a structured draft. This skill operates as a lightweight stub to process and format the article outline deterministically.

Does this content drafting skill work with compact-resolver regression suites?▼

Yes, this content drafting skill works directly with compact-resolver regression suites by acting as a lightweight fixture stub. It ensures deterministic behavior during automated tests when validating an agent's request routing.

Can I use this skill to draft multiple social and publishing formats?▼

Yes, you can use this skill to draft multiple social and publishing formats. It converts content requests into structured drafts, supporting scenarios like creating tweets, writing full posts, or outlining new articles from a provided topic.

What are the limitations of using a fixture stub for content generation?▼

The limitation of using a fixture stub for content generation is that it acts as a lightweight stub for validating routing in regression suites. It does not provide full production content generation capabilities, focusing purely on deterministic test behavior.

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