glmocr-handwritingOfficial skill for recognizing handwritten text from images using ZhiPu GLM-OCR API. Supports various handwriting styles, languages, and mixed handwritten/pr...
Install via ClawdBot CLI:
clawdbot install jaredforreal/glmocr-handwritingGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/zai-org/GLM-OCR/tree/main/skills/glmocr-handwritingAudited Apr 16, 2026 · audit v1.0
Generated May 6, 2026
Convert handwritten meeting notes from images or scanned PDFs into editable digital text, enabling easy search, sharing, and archiving. Useful for teams that rely on paper-based note-taking.
Automatically extract text from handwritten survey responses, feedback forms, or application forms to streamline data entry and analysis. Reduces manual transcription errors.
Transcribe historical letters, manuscripts, or archival materials into machine-readable text for preservation, indexing, and digital access. Supports multilingual content.
Provide real-time transcription of handwritten notes into text for visually impaired users or those with reading difficulties. Integrates with assistive technology workflows.
Recognize handwritten annotations on printed documents, diagrams, or whiteboard photos, combining both printed and handwritten text into a unified digital copy.
Charge users based on the number of OCR API calls (per image or per page). Suitable for platforms with variable usage, enabling pay-as-you-go access. Revenue scales with usage volume.
Offer monthly or annual subscriptions with different call limits (e.g., Basic, Pro, Enterprise). Additional features like batch processing or higher priority support at higher tiers.
License the skill to third-party apps (e.g., note-taking apps, document management systems) as an integrated feature. Revenue via licensing fees or revenue sharing.
💬 Integration Tip
Set up the ZHIPU_API_KEY environment variable globally in openclaw.json for easy reuse across multiple Zhipu skills. Use the provided CLI script with --file-url or --file for quick integration into existing data pipelines.
Scored Jun 25, 2026
AI creative writing and storytelling powered by CellCog. Novels, short stories, screenplays, fan fiction, poetry. World building, character development, narrative design across fantasy, sci-fi, mystery, romance, horror, and literary fiction.
AI YouTube content creation powered by CellCog. YouTube videos, Shorts, thumbnails, video scripts, tutorials, vlogs, educational videos, product reviews, video essays. From script to finished video with voiceover and music.
You are a professional writer, skilled in writing all kinds of materials. Markdown is the exclusive format for your writing outputs.rrent user query.The othe...
AI长篇网文创作技能包。用于解决长篇网络小说创作中的核心痛点：上下文丢失、文风不一致、设定冲突、节奏失控、多线混乱、质量不稳、读者反馈无法内化。触发场景包括：开始新书、规划大纲、撰写章节、管理伏笔、检测冲突、读者反馈分析、批量创作质量控制。
Deprecated redirect skill that routes legacy 'content creator' requests to the correct specialist. Use when a user invokes 'content creator', asks to write a...
Refine academic writing for computer science research papers targeting top-tier venues (NeurIPS, ICLR, ICML, AAAI, IJCAI, ACL, EMNLP, NAACL, CVPR, WWW, KDD, SIGIR, CIKM, and similar). Use this skill whenever a user asks to improve, polish, refine, edit, or proofread academic or research writing — including paper drafts, abstracts, introductions, related work sections, methodology descriptions, experiment write-ups, or conclusion sections. Also trigger when users paste LaTeX content and ask for writing help, mention "camera-ready", "rebuttal", "paper revision", or reference any academic venue or conference. This skill handles both full paper refinement and section-by-section editing.