发现最适合你需求的 AI 技能
Structured improvement system for learnable skills (programming, design, languages, instruments). Use when tracking progress, identifying bottlenecks, or optimizing practice routines for any skill you want to master.
A unified OpenClaw skill that merges self-improvement and proactivity: learn from corrections, maintain active state, recover context fast, and keep work moving with clear boundaries.
Holistic life satisfaction and balance optimization across health, relationships, finances, leisure, and personal growth. Use when feeling unbalanced, stuck in routines, or wanting to systematically improve overall life quality.
Science-based habit formation, maintenance, and optimization using behavioral psychology principles. Use when building new habits, breaking bad ones, or optimizing existing routines for maximum consistency and minimum willpower.
Systematic improvement of thinking patterns, decision quality, problem-solving abilities, and mental performance. Use when noticing cognitive biases, making important decisions, solving complex problems, or wanting to enhance mental clarity and effectiveness.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
Use curl to query self-evolve.club shared skill rankings, self-evolve personal stats, and update self-evolve.club profile info. Use this when users ask for shared ranking, self-evolve personal info, or profile updates.
Insert breakpoint self-critique before branching work, after user friction, and at risky handoffs so agents catch errors early.
A 股/港股/美股优质股票筛选专家。擅长筛选具备中长期布局价值的优质股票,精准规避游资炒作和庄家控盘的垃圾股。基于两大核心模型:(1) 长线稳步上涨型(如中国海油)- 月线年线多头排列、ROE 高于 15%、高股息;(2) 历史低位反弹型(如万华化学)- 核心资产大幅回撤后企稳、行业周期见底。使用场景:用户询问某股票是否值得投资、要求筛选优质标的、分析股票中长期价值时触发。
使用 SAM(Segment Anything Model)去除图像背景,将前景主体提取为透明 PNG。适用于去除背景、抠图、提取前景主体或图像分割等需求。