knowledge-base-collectorCollect and organize a personal knowledge base from URLs (web/X/WeChat) and screenshots. Use when the user says they want to save an URL, ingest a link, archive content to KB, tag/classify notes, store screenshots, or search their saved knowledge in Telegram. Supports WeChat via a connected macOS node when cloud fetch is blocked.
Install via ClawdBot CLI:
clawdbot install reed1898/knowledge-base-collectorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://twitter.com/Uses known external API (expected, informational)
r.jina.aiAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
Teams in tech or academia can use this skill to systematically archive web articles, research papers, and social media posts (e.g., from X) into a centralized knowledge base. It supports tagging for easy retrieval, enabling efficient organization of topics like AI agents, coding practices, or security trends for future reference and analysis.
Marketing professionals can collect competitor content, industry news, and user-generated screenshots from platforms like WeChat and Twitter. The skill helps tag and store these materials for trend analysis, campaign inspiration, and creating weekly digests to inform strategy and reporting.
Individuals, such as students or lifelong learners, can save educational URLs, lecture screenshots, and notes into a personal knowledge base. OCR capabilities extract text from images, while tagging allows categorization by subjects like programming or security, facilitating study and review.
Organizations in finance or legal sectors can archive regulatory updates, news articles, and social media posts related to compliance issues. The skill ensures content is stored with tags for audit trails, and placeholder entries handle blocked WeChat content, maintaining records even when fetch fails.
Support teams can ingest FAQs, troubleshooting guides from web sources, and screenshots of common issues into a shared repository. Tagging helps categorize by product or issue type, enabling quick search and retrieval via tools like Telegram for faster response times and training.
Offer a cloud-based service where users pay a monthly fee to access enhanced features like automated tagging, advanced search, and integration with platforms like Telegram. Revenue comes from tiered subscriptions based on storage limits and team collaboration tools.
Provide a free version with basic URL and screenshot ingestion, then charge for premium features such as OCR with higher accuracy, unlimited tags, and priority support. This model targets students, researchers, and small teams looking to upgrade their personal knowledge management.
Sell customized licenses to large companies for integrating the skill into their internal systems, with added security features like data encryption and compliance reporting. Revenue is generated through annual contracts, training, and dedicated support services.
💬 Integration Tip
Ensure macOS nodes are configured for WeChat fetching to improve success rates, and implement regular data sanitization to redact sensitive information before storage.
Scored Apr 19, 2026
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