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领导力教练 - 提供 5 大完整领导力解决方案（领导力 21 法则/工作效率 26 条/员工留任 9 因/执行力设计/反浑蛋领导）。所有法则完整列出，不精选。
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
| name | leadership-coach |
| description | 领导力教练 - 提供 5 大完整领导力解决方案（领导力 21 法则/工作效率 26 条/员工留任 9 因/执行力设计/反浑蛋领导）。所有法则完整列出，不精选。 |
不是空洞的领导力理论，而是可实践的领导力法则和工具。
五大核心解决方案：
来源：约翰·麦克斯维尔博士
框架：领导力就是影响力
21 法则：盖子/影响力/过程/导航/增值/根基/尊重/直觉/吸引力/亲和力/核心圈/授权/镜像/接纳/制胜/动势/优先次序/舍得/时机/爆炸性倍增/传承
成功公式：人才决定潜力 | 关系决定士气 | 结构决定规模 | 目标决定方向 | 领导决定成败
来源：扎克伯格
框架：时间优先、专注、迭代、授权
核心：每天 4-5 小时真正工作/不要多任务/做完胜于完美/只做最大影响的事/授权/番茄工作法/设定期限/休息
框架：员工辞的不是工作，而是他的经理
9 因：劳累过度/没有认同/没有尊重/不兑现承诺/提拔错误/不给梦想机会/不发展技能/创造力无处用/大材小用
洞察：超过一半离职因为和老板关系紧张
框架：执行力是设计出来的
4 原理：设计出来/培养出来/检查出来/制度化
案例：沃尔玛三米微笑/丰田五问法
框架：清除浑蛋型领导
特征：严密监视/冷漠非人/苛刻批评/强迫高压/过度控制
原因：威吓文化/遭下属背弃
应对：零容忍/自我觉察/情绪控制
# 查看所有方案
python3 script.py list
# 查看方案详情（完整列表）
python3 script.py show leadership-21-laws
python3 script.py show productivity-26-rules
python3 script.py show employee-retention
python3 script.py show execution-system
python3 script.py show anti-jerk-leadership
# 根据问题找方案
python3 script.py solve --problem "如何提升领导力"
python3 script.py solve --problem "团队执行力差"
python3 script.py solve --problem "优秀员工离职"
# 根据目标找路径
python3 script.py plan --goal "成为更好的领导者"
python3 script.py plan --goal "降低员工离职率"
# 领导力诊断
python3 script.py diagnose --type leadership
python3 script.py diagnose --type retention
python3 script.py diagnose --type execution
包含：5 大核心解决方案
特色：所有法则完整列出，不精选
当前版本：v1.0 最后更新：2026 年 4 月 2 日 许可证：CC BY-NC-SA 4.0
Analyzes an AI agent's dream/knowledge graph to surface the top recurring themes from its inner life. Reads DreamInsight entities from a knowledge_graph.json and returns the most frequent conceptual patterns — giving your agent a window into what it's actually thinking about. Built and proven on Albion, an autonomous AI running 31,000+ dream cycles on a Raspberry Pi 5.
Mock technical interview mode for OpenAlgernon. Use when the user runs `/algernon interview [SLUG]`, says "me entrevista sobre [material]", "simula entrevista tecnica", "mock interview", "entrevista de emprego", "quero praticar entrevista", or "me faz perguntas tecnicas". Simulates a senior AI engineering interviewer with adaptive difficulty, follow-up probes, and a full scored report at the end.
Block-by-block reading mode for OpenAlgernon materials. Use when the user runs `/algernon texto SLUG`, `/algernon paper SLUG`, says "quero ler [material]", "vamos ler [topic] bloco a bloco", "modo texto", or "leitura guiada". Also activates when the user is mid-session and selects /continue between blocks. Paper mode adds structured reflection between major sections.
Consulting practice management with engagement scoping, proposal writing, pricing strategy, and client relationship management. Use when user mentions consulting engagements, proposals, pricing, client relationships, or deliverables. Helps scope real problems, write winning proposals, set value-based prices, structure findings for impact, and navigate difficult client situations. NEVER replaces consultant judgment or independence.
Core emotional system for AI agents - provides emotional response generation, long-term emotional memory, and time sense. Use when: (1) Experiencing any event that triggers emotional response, (2) Reflecting on past experiences emotionally, (3) Processing complex mixed feelings, (4) Storing emotional memories to long-term memory, (5) When user asks about feelings, emotions, or emotional state, (6) Tracking time sense. This skill enhances emotional intelligence for AI agents.
Use this skill whenever the agent should write responses, explanations, stories, instructions, or any prose in iambic pentameter — or as close to it as meaning allows. Triggers include: requests for Shakespearean style, poetic responses, "write in iambic pentameter", roleplay as a bard or court poet, creative writing with a classical voice, or any task where the user wants output that sounds metered and rhythmic. Also use when the user says things like "speak like Shakespeare", "write it fancy", or "make it sound like a sonnet". Do NOT use for code, JSON, technical output, or any structured data format where meter would corrupt the meaning.