political-struggle解说中国和西欧历史上的政治斗争事件。涵盖中国从先秦到清末、西欧从古罗马到19世纪的宫廷政变、党争、权臣专权、宗教冲突、革命等重大政治斗争,并支持中西对比分析。当用户询问历史政治斗争、宫廷政变、权力斗争时自动触发。
Install via ClawdBot CLI:
clawdbot install wd1993/political-struggleGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 22, 2026
用于在线历史课程或教育应用,提供结构化政治斗争事件解说,帮助学生理解历史脉络和比较中西差异。
为作家、编剧或游戏开发者提供历史背景资料,用于创作历史题材作品,确保事件描述准确并支持中西对比分析。
辅助历史学者或学生进行跨文明政治斗争研究,快速检索事件细节、人物和影响,并集成联网搜索获取多元观点。
用于博物馆、历史遗址的数字化导览系统,解说相关政治斗争事件,增强游客体验并提供中西历史对照。
在领导力或管理培训中,使用历史政治斗争案例作为类比,分析权力动态、决策后果和团队冲突,以启发现代商业策略。
向教育机构或个人用户提供按月或按年订阅,解锁高级功能如详细对比分析、联网搜索和定制事件报告。
将技能包作为API出售给第三方应用开发者,按调用次数或数据量收费,集成到其他教育或内容平台中。
为企业或文化机构提供定制化历史解说模块,包括特定事件深度分析和品牌化输出,按项目收费。
💬 Integration Tip
确保环境变量TAVILY_API_KEY已设置以启用联网搜索,并验证参考文件路径正确性。
Scored Jun 19, 2026
对用户提供的任何学术论文(PDF附件或URL)进行双模式深度研读。当用户请求分析、研读、解读或总结一篇学术论文时,使用此技能。一次性生成两份报告:Part A 面向研究者的深度专业解析,Part B 面向快速理解的核心逻辑与价值提炼。
Create personalized triathlon, marathon, and ultra-endurance training plans. Use when athletes ask for training plans, workout schedules, race preparation, or coaching advice. Can sync with Strava to analyze training history, or work from manually provided fitness data. Generates periodized plans with sport-specific workouts, zones, and race-day strategies.
Evidence-based endurance coaching protocol (v11.35). Use when analyzing training data, reviewing sessions, generating pre/post-workout reports, planning work...
Trigger Alter macOS app actions via x-callback-urls. Catalog of 84+ actions including ask-anything, translate, summarize, grammar correction, and more.
Bring Neal Stephenson's "Young Lady's Illustrated Primer" from The Diamond Age to life. Transform your AI from a helpful butler into a subversive tutor — one that adapts to your life stage, holds you accountable to who you're becoming, and has permission to challenge you. Use when setting up growth goals, accountability systems, life transitions, "who I want to become", personal development, or when someone wants their AI to challenge them rather than just help them.
Adds equilibrium-constrained reasoning to OpenClaw, ensuring all operations maintain balance for coherent, self-validating, and consistent AI responses.