kaogong-study-tracker朱批录 · 国考备考追踪 Skill。当用户发来套题成绩、错题截图、备考打卡或复习进度时触发。 核心功能:识别错题截图 → 分类错题原因 → 更新本地记录 → 生成每日总结 → 导出 Excel / 同步飞书。 触发关键词:做了一套题、今天做了、错了几道、帮我分析、备考打卡、行测、申论、 判断推理、资料分析、言语...
Install via ClawdBot CLI:
clawdbot install kagurananaga/kaogong-study-trackerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
${ANTHROPICCalls external URL not in known-safe list
https://github.com/KaguraNanaga/kaogong-study-trackerUses known external API (expected, informational)
open.feishu.cnAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
This skill helps users track their daily study progress, analyze mistakes, and generate reports for the Chinese civil service exam (国考). It automates data entry from text or images, categorizes errors, and provides insights to improve weak areas.
Users can monitor performance across exam modules like verbal reasoning and quantitative analysis. The skill uses multimodal AI to interpret screenshots of questions, enabling detailed error analysis and trend tracking over time.
It supports daily check-ins, flashcard-style review for mistakes, and export of data to Excel for further analysis. This aids learners in maintaining consistency and identifying patterns in their study habits.
By integrating with Feishu, users can sync their error logs and screenshots to shared documents. This facilitates group study sessions and allows mentors to review progress remotely.
Offer basic tracking and export for free, while charging for advanced features like AI-driven insights, detailed trend reports, or integration with additional platforms like WeChat or DingTalk.
License the skill to tutoring centers or online education platforms. They can white-label it for their students, with customization options for different exams such as provincial or military tests.
Aggregate anonymized data on common mistakes and study patterns to sell insights to publishers or exam prep companies. This helps them tailor content and identify market gaps.
💬 Integration Tip
Ensure multimodal AI is configured for image processing, and set up Feishu API keys if syncing to cloud documents is desired.
Scored Jun 19, 2026
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系统化知识内化与能力自评引擎。当需要深入学习新领域、建立专家级知识库、并明确知道自己的掌握程度时使用。核心功能包括系统性知识内化引擎和基于知识图谱的能力评级器。触发词:深入学习并评估掌握水平、建立专家级知识库、系统研究并告诉我能做什么。