Find your landing page message
Connect a product’s value to a specific audience and write a clear first-screen message.
Publish articles to X/Twitter
--- name: x-article-publisher-skill-c0df31deebea description: "Publish articles to X/Twitter" risk: safe source: "https://github.com/wshuyi/x-article-publisher-skill" date_added: "2026-02-27" --- # X Article Publisher Skill ## Overview Publish articles to X/Twitter ## When to Use This Skill Use this skill when you need to work with publish articles to x/twitter. ## Instructions This skill provides guidance and patterns for publish articles to x/twitter. For more information, see the [source repository](https://github.com/wshuyi/x-article-publisher-skill). --- <!-- AGI-INTEGRATION-START --> ## AGI Framework Integration > **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)** > Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills) ### Memory-First Protocol Retrieve brand voice guidelines, content templates, and prior successful content patterns. Cache editorial decisions for consistency across sessions. ```bash # Check for prior content creation context before starting python3 execution/memory_manager.py auto --query "content patterns and brand voice guidelines for X Article Publisher Skill" ``` ### Storing Results After completing work, store content creation decisions for future sessions: ```bash python3 execution/memory_manager.py store \ --content "Content: brand voice established — professional but approachable, 8th-grade reading level, active voice" \ --type decision --project <project> \ --tags x-article-publisher-skill content ``` ### Multi-Agent Collaboration Share content guidelines with design agents (visual alignment) and development agents (copy integration). ```bash python3 execution/cross_agent_context.py store \ --agent "<your-agent>" \ --action "Content created and reviewed — matches brand guidelines, SEO-optimized, A/B test variant prepared" \ --project <project> ``` <!-- AGI-INTEGRATION-END -->--- name: x-article-publisher-skill-c0df31deebea description: "Publish articles to X/Twitter" risk: safe source: "https://github.com/wshuyi/x-article-publisher-skill" date_added: "2026-02-27" --- # X Article Publisher Skill ## Overview Publish articles to X/Twitter ## When to Use This Skill Use this skill when you need to work with publish articles to x/twitter. ## Instructions This skill provides guidance and patterns for publish articles to x/twitter. For more information, see the [source repository](https://github.com/wshuyi/x-article-publisher-skill). --- <!-- AGI-INTEGRATION-START --> ## AGI Framework Integration > **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)** > Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills) ### Memory-First Protocol Retrieve brand voice guidelines, content templates, and prior successful content patterns. Cache editorial decisions for consistency across sessions. ```bash # Check for prior content creation context before starting python3 execution/memory_manager.py auto --query "content patterns and brand voice guidelines for X Article Publisher Skill" ``` ### Storing Results After completing work, store content creation decisions for future sessions: ```bash python3 execution/memory_manager.py store \ --content "Content: brand voice established — professional but approachable, 8th-grade reading level, active voice" \ --type decision --project <project> \ --tags x-article-publisher-skill content ``` ### Multi-Agent Collaboration Share content guidelines with design agents (visual alignment) and development agents (copy integration). ```bash python3 execution/cross_agent_context.py store \ --agent "<your-agent>" \ --action "Content created and reviewed — matches brand guidelines, SEO-optimized, A/B test variant prepared" \ --project <project> ``` <!-- AGI-INTEGRATION-END -->
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.