Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
The Baidu Baike Component is a knowledge service tool designed to query authoritative encyclopedia explanations for various nouns. Its core function is given a specific "noun" (object, person, location, concept, event, etc.) provided by the user, it returns a standardized, detailed entry explanation sourced from Baidu Baike.
Baidu Scholar Search - Search Chinese and English academic literature (journals, conferences, papers, etc.)
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
模拟顶级对冲基金投研决策流程,为股票制定机构级交易策略备忘录。 使用此技能当用户需要： - 进行股票深度分析 - 制定交易策略 - 撰写投研报告或投资备忘录 - 进行多空辩论分析 - 评估投资风险回报比 触发词：股票分析、投研报告、投资备忘录、hedge fund、股票研究、交易策略、基本面分析、技术分析、估值分析
Beeclaw's dynamic preference learning system. This skill automatically detects and learns user preferences from conversation patterns. TRIGGER when user expresses format preferences ("don't use emoji", "be concise"), identifies their role ("I'm a frontend engineer"), gives feedback on output style, or establishes habits/rituals. Preferences are stored in facts/preferences.md and applied to all future interactions.
Beeclaw's core reflection skill for learning from failures. TRIGGER THIS SKILL whenever a skill execution fails, the user corrects your behavior, you notice repetitive patterns (3+ similar tasks), or the user expresses frustration. This skill enables continuous improvement through structured failure analysis.
Beeclaw's trigger detection system. This skill runs automatically to detect when reflection should be invoked. Understanding these patterns helps you recognize when something needs improvement. Triggers include user corrections, frustration signals, skill failures, and repetitive patterns.