An automated content ideation pipeline that scrapes hot trends, scores them for viral potential, and syncs data to Feishu and Telegram.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install inkroam-topic-expert
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 inkroam-topic-expert 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 Inkroam Topic Expert?
Inkroam Topic Expert is a professional-grade content production tool designed to handle the upstream discovery phase of digital writing. It functions as a strategic scout, identifying what is worth writing about by monitoring cross-platform hot spots. As a part of the Openclaw Skills ecosystem, it bridges the gap between raw web trends and a structured editorial pipeline, ensuring that creators focus only on high-value, relevant topics.
The skill automates the entire lifecycle of topic selection—from multi-source scraping to structured data entry. By leveraging advanced scoring algorithms, it filters out noise and presents creators with actionable insights, including target audience analysis and solution angles, all delivered through integrated enterprise tools like Feishu and Telegram.
Inkroam Topic Expert Use Cases
- Automatically identifying viral topics from Weibo, Zhihu, and tech news sites.
- Managing a collaborative editorial backlog in Feishu Multidimensional Tables.
- Receiving real-time notifications for high-priority content opportunities via Telegram.
- Filtering industry-specific news (AI, productivity, self-media) from general web noise.
How Inkroam Topic Expert Works
- Scrapes real-time trending data from Tophub and major social media platforms.
- Performs a 5-dimension evaluation (Heat, Relevance, Timeliness, Writability, Differentiation) to score each topic out of 100.
- Generates the Three Elements for high-scoring topics: Target Audience, Pain Points, and the Solution Angle.
- Batch writes the curated topic data into a specified Feishu Multidimensional Table via API.
- Pushes a formatted topic card to Telegram, allowing users to adopt or abandon topics via simple replies.
Inkroam Topic Expert Setup
To deploy this skill within your Openclaw Skills environment, configure the following environment variables:
export FEISHU_APP_ID='your_app_id'
export FEISHU_APP_SECRET='your_app_secret'
export FEISHU_APP_TOKEN='your_bitable_token'
export FEISHU_TABLE_ID='your_table_id'
After setting the variables, update the config.json to define your account niche and scoring weights, then run the pipeline:
python3 run_pipeline.py
Inkroam Topic Expert Data Schema & Taxonomy
The skill organizes content data into a structured schema within Feishu tables:
| Field | Description |
|---|---|
| Topic Title | The headline of the trending event or news. |
| Source Platform | Origin of the trend (e.g., Weibo, 36Kr, Zhihu). |
| Heat Score | Quantitative value representing the trend's popularity. |
| Status | Workflow state: Pending, Adopted, or Abandoned. |
| Three Elements | Structured analysis of Audience, Pain Points, and Solution. |
| Priority | Categorized as S-rank (Strongly Recommended) or A-rank. |
Inkroam Topic Expert Advanced Features
- Multi-platform aggregation supporting Tophub, Weibo, Zhihu, and major tech publications.
- Intelligent 5-dimension scoring logic that prioritizes account-relevant content over general trends.
- Bi-directional status management between Telegram notifications and Feishu databases.
- Scheduled automation triggers for three-times-per-day trend reports (08:00, 12:00, 18:00).
- Preference learning based on user adoption history to refine future recommendations.
SKILL.md
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