An automated content generation engine for the NEAR Protocol ecosystem that creates threads, market digests, and technical tutorials.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install near-content-creator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install near-content-creator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is NEAR Content Creator?
The NEAR Content Creator is a specialized tool designed to streamline the production of technical and educational materials for the NEAR Protocol. It enables developers and community managers to leverage Openclaw Skills to produce publication-ready content in multiple formats, ranging from multi-part social media threads to deep-dive technical tutorials. By focusing on technical accuracy and structured output, the skill ensures that ecosystem updates and educational resources are both professional and actionable.
This skill is particularly effective for those who need to maintain a consistent presence in the Web3 space without the manual overhead of drafting every update from scratch. It utilizes intelligent source ranking and deduplication to ensure that news and market data are sourced from high-quality NEAR-adjacent providers, making it a vital asset for anyone building within the Openclaw Skills ecosystem.
NEAR Content Creator Use Cases
- Creating structured educational Twitter threads to explain NEAR Protocol features.
- Generating daily market updates with timestamped metrics for investor reports.
- Compiling curated ecosystem news feeds with automatic deduplication and source ranking.
- Drafting practical, step-by-step developer tutorials for specific NEAR technical topics.
How NEAR Content Creator Works
- The user triggers a specific command such as thread generation or market update through the Openclaw Skills interface.
- For news and updates, the skill queries official NEAR and NEAR-adjacent sources to gather the latest data.
- Content is processed through a normalization engine that formats social threads into a stable 1/n structure for direct publishing.
- Market metrics are timestamped and formatted as informational digests to ensure data transparency.
- Technical tutorials are structured around practical execution steps rather than generic copywriting to provide high value to developers.
NEAR Content Creator Setup
To integrate this skill into your workflow, you need to point your agent to the build entrypoint. Ensure you have the repository cloned and dependencies installed.
# Navigate to the skill directory
cd near-content-creator
# Install dependencies and build the project
npm install
npm run build
The skill implementation entrypoint is located at {baseDir}/dist/index.js.
NEAR Content Creator Data Schema & Taxonomy
The NEAR Content Creator organizes its output based on the specific content type requested. It uses specific metadata and lists to maintain structure.
| Output Type | Format | Key Metadata |
|---|---|---|
| Social Threads | Normalized List | Sequential numbering (e.g., 1/8 to 8/8) |
| Market Updates | String | Timestamped metrics and informational tags |
| Ecosystem News | Object List | Ranked sources, deduplicated links, and descriptions |
| Tutorials | Markdown | Practical execution headers and code blocks |
NEAR Content Creator Advanced Features
- Intelligent source ranking that prioritizes official NEAR Protocol documentation and verified ecosystem news.
- Automated thread normalization that guarantees a standard 1/8 ... 8/8 structure for social media compatibility.
- Built-in deduplication logic to ensure unique news items even when scanning multiple sources.
- Practical execution focus for tutorials, moving beyond generic AI copywriting to provide technical utility within the Openclaw Skills framework.
SKILL.md
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