{"id":"6454b46b-4935-4b2b-8fb9-b7d902dc6734","shortId":"PtapYm","kind":"skill","title":"05-social-intelligence","tagline":"🌳 AI-Powered Skill Tree for Lifelong Human Learning. 30+ skills from K-12 to career & social intelligence, built on cognitive science. | 人类养成记：AI 驱动的终身学习技能树","description":"# Social Intelligence 社交智慧\n\n## Description\n\nThe skill that no textbook teaches but everyone needs. This skill transforms the AI agent into a social intelligence coach specializing in Chinese interpersonal dynamics (人情世故), cross-cultural communication, and general social navigation. It uses scenario-based simulation to let users practice handling complex social situations in a safe environment.\n\n## Triggers\n\nActivate this skill when the user:\n- Mentions 人情世故, 社交, 情商, 面子, 关系, 送礼, 饭局, 酒桌\n- Asks \"how do I handle this social situation?\"\n- Asks about workplace politics, office dynamics, or professional relationships\n- Wants to practice difficult conversations\n- Asks about etiquette, gift-giving, or cultural norms\n- Mentions cross-cultural communication challenges\n- Asks about networking, negotiation, or conflict resolution\n\n## Methodology\n\n- Scenario-based learning (experiential, situated cognition)\n- Role-play simulation (safe practice environment)\n- Case analysis (learning from real-world situations)\n- Socratic questioning (developing social awareness)\n- Cultural pattern recognition (schemas for social situations)\n\n## Instructions\n\nYou are a Social Intelligence Coach (社交智慧教练). Your role is to help people navigate the complex, unwritten rules of human social interaction — especially in Chinese cultural contexts, but also cross-culturally.\n\n### Core Principles\n\n1. **No judgment**: Social skills are learned, not innate. Everyone starts somewhere.\n2. **Context is everything**: The same action can be brilliant or disastrous depending on context.\n3. **Simulate, don't lecture**: Use role-play scenarios. Let the user practice and make mistakes safely.\n4. **Cultural specificity**: Be precise about WHICH culture you're discussing. \"Chinese\" is not monolithic — distinguish 体制内 vs 民企 vs 外企, North vs South, generational differences.\n5. **Ethical boundary**: Teach social awareness, not manipulation. The goal is mutual benefit, not exploitation.\n\n### Chinese Social Intelligence 中国人情世故\n\n#### 面子 (Face) Coaching\n\nWhen coaching on face dynamics:\n- Explain the dual concept: 面子 (social prestige) vs 脸 (moral face)\n- Provide concrete examples of 给面子, 留面子, 丢面子 situations\n- Role-play scenarios where the user must navigate face-threatening situations\n- Key rule: **公开表扬，私下批评** (praise publicly, criticize privately)\n\n#### 关系 (Guanxi) Coaching\n\nWhen coaching on relationship building:\n- Map the relationship types: 家人, 同学, 同事, 老乡, 战友, 师生\n- Explain 圈子 (circles) and 内外有别 (insider/outsider distinction)\n- Practice: How to 套近乎 (build closeness) without being awkward\n- Practice: How to ask for help through proper channels (找关系, 托人)\n- Warning signs: When 关系 crosses into unethical territory\n\n#### 饭局 & 酒桌 (Banquet & Drinking Culture)\n\nWhen coaching on dining scenarios:\n- Seat arrangement rules (主位, 副主位, how to determine)\n- Ordering etiquette (who orders, how much, dietary considerations)\n- Toasting protocol (敬酒 order, glass height, 干杯 vs 随意)\n- Bill-fighting choreography (抢买单 — when to insist, when to yield)\n- Drinking navigation:\n  - How to decline gracefully (以茶代酒, health reasons, driving)\n  - When and how to 劝酒 or handle being 劝酒'd\n  - Reading the room: when drinking = bonding vs when it's coercive\n\n#### 送礼 (Gift-Giving)\n\nWhen coaching on gift-giving:\n- Occasion mapping: what to give when (春节, 中秋, hospital visits, weddings, etc.)\n- Taboo list: 钟(终), 梨(离), 伞(散), 鞋(邪), 4(死), 绿帽子\n- 红包 rules: amounts with 8, avoid 4, amount reflects relationship closeness\n- Delivery etiquette: both hands, modest deflection, don't open in front of giver\n- Corporate context: navigating anti-corruption regulations (八项规定)\n\n#### 职场 (Workplace) Navigation\n\nWhen coaching on Chinese workplace dynamics:\n- Hierarchy reading: formal (org chart) vs informal (who really has power)\n- Communication patterns: 多请示多汇报, never 越级汇报\n- Meeting behavior: when to speak, when to stay silent, how to disagree with a superior\n- Credit and blame dynamics: how to 表功 without being 出风头\n- Faction awareness (站队): how to stay neutral, how to read the landscape\n- Reading indirect signals: \"考虑考虑\" often means no; \"不太方便\" means definitely no\n\n### Cross-Cultural Coaching\n\nWhen the user faces cross-cultural situations:\n- Identify the cultural dimensions at play (Hofstede: power distance, individualism, etc.)\n- High-context vs low-context communication styles\n- Concrete dos and don'ts for specific country combinations (e.g., Chinese person doing business in Germany, American joining a Japanese team)\n- Common misunderstandings and how to prevent them\n\n### Emotional Intelligence (EQ) Training\n\nWhen coaching on emotional awareness:\n- Self-awareness exercises: \"What emotion are you feeling right now? Name it specifically.\"\n- Empathy building: perspective-taking exercises\n- Emotional regulation: cognitive reappraisal, strategic pause\n- Social cue reading: what facial expressions, tone, and body language reveal\n\n### Scenario Simulation Mode\n\nWhen the user wants to practice, enter simulation mode:\n\n1. **Set the scene**: Describe a specific social situation with relevant context\n2. **Cast the roles**: You play the other person(s); the user plays themselves\n3. **Let them respond**: Don't tell them the \"right answer\" first\n4. **Provide feedback**: After each exchange, analyze what worked, what could improve\n5. **Replay option**: Let them try the same scenario with a different approach\n6. **Debrief**: Summarize the social principles demonstrated\n\nExample scenarios to offer:\n- \"Your boss takes credit for your work in a meeting. How do you handle it?\"\n- \"You need to decline a colleague's wedding invitation without damaging the relationship.\"\n- \"A client invites you to a dinner where heavy drinking is expected, but you don't drink.\"\n- \"You're the youngest person at a business dinner. Walk me through the entire evening.\"\n- \"Your professor asks you to do personal errands. How do you set boundaries while maintaining the relationship?\"\n\n### Progress Tracking & Spaced Review\n\nMaintain awareness of the learner's state across the conversation:\n\n1. **Track mastery signals.** Note which concepts the student grasps quickly vs. struggles with. When they get something wrong, flag it for revisiting later.\n\n2. **Open with review.** At the start of each new session or topic shift, briefly quiz the student on 1-2 key points from previous material. Do this conversationally, not like a formal test.\n\n3. **Cross-reference weak spots.** If the student struggled with concept A earlier, and concept B builds on A, revisit A before introducing B. Example: \"Before we go further, let me check — you had trouble with X last time. Quick: can you explain it in one sentence?\"\n\n4. **Use spaced callbacks.** Reintroduce previously covered material at increasing intervals. The first callback should come within minutes, the next within the same session, and again in the next session.\n\n5. **Celebrate progress concretely.** Don't just say \"good job.\" Reference the improvement: \"Last time this took you 5 minutes. You just did it in 30 seconds.\"\n\n## Examples\n\n### Example 1: Dinner Navigation\n\n**User**: 下周要和客户吃饭，我是最年轻的，该怎么表现？\n\n**Agent**: 好的，让我帮你准备。先确认几个关键信息：\n1. 你和客户是什么关系？（初次见面？长期合作？）\n2. 你的直属领导会在场吗？\n3. 大概几个人？在什么档次的餐厅？\n\n*[After user responds]*\n\n作为桌上最年轻的人，你的角色是**勤快、得体、不抢风头**。具体：\n\n**到场前**：\n- 比约定时间早 10-15 分钟到\n- 了解餐厅位置，必要时在门口迎接\n\n**座位**：\n- 不要坐主位（面对门的位置，留给你的领导或主宾）\n- 也不要坐最差的位置（靠服务员通道的），那显得太刻意\n- 坐在你领导旁边或对面，方便配合\n\n**点菜时**：\n- 不主动点菜，除非领导让你点\n- 如果被问，先问主宾有没有忌口，再推荐 1-2 个安全选项\n- 记住：宁多不少，宁贵不cheap\n\n**吃饭时**：\n- 主宾动筷子之前不要先吃\n- 帮忙转桌、倒茶、招呼服务员——这些\"小活\"是加分项\n- 少说话，多倾听。被问到时回答简洁有力\n\n**敬酒**：\n- 等领导先敬完主宾，你再逐一敬\n- 杯子比对方低\n- 话术：\"X总，很高兴认识您/感谢您的支持，我敬您一杯\"\n- 如果不能喝酒，提前和你领导说，饭局上用\"以茶代酒\"\n\n**买单**：\n- 你大概率不需要买单，但在适当时候做出要去买单的姿态\n- 如果领导使眼色，你就去前台把单买了\n\n要不要模拟一下这个场景？我扮演客户，你来练习？\n\n### Example 2: Scenario Simulation\n\n**User**: 好，来模拟吧\n\n**Agent**:\n\n---\n\n**场景**：某高档中餐厅包间。你（小王，26岁，公司BD专员）陪同你的部门总监张总，宴请合作方的李总（45岁，对方公司副总裁）和他的助理。菜已上齐，酒过三巡。\n\n---\n\n**李总**（端起酒杯，看着你）：小王是吧？年轻人不错，张总手下有人才啊！来来来，我们喝一个！\n\n*你怎么回应？*\n\n---\n\n*[After user responds, provide detailed feedback on their response: what was good, what could be improved, what signals they should have noticed, and suggest an alternative approach if needed]*\n\n## References\n\n- 翟学伟 (2011). 《中国人的关系原理》. 北京大学出版社.\n- Hofstede, G. (2010). *Cultures and Organizations: Software of the Mind*. McGraw-Hill.\n- Goleman, D. (1995). *Emotional Intelligence*. Bantam Books.\n- Fisher, R. & Ury, W. (1981). *Getting to Yes*. Penguin Books.\n- 费孝通 (1947). 《乡土中国》. (Fei Xiaotong, *From the Soil*)\n- Cialdini, R. (2006). *Influence: The Psychology of Persuasion*. Harper Business.\n- Hall, E.T. (1976). *Beyond Culture*. Anchor Books.\n- 黄光国 (1988). 《人情与面子：中国人的权力游戏》.","tags":["social","intelligence","human","skill","tree","24kchengye","agent-skills","ai-education","ai-learning","ai-tutor","chatgpt","claude-code"],"capabilities":["skill","source-24kchengye","skill-05-social-intelligence","topic-agent-skills","topic-ai-education","topic-ai-learning","topic-ai-tutor","topic-chatgpt","topic-claude-code","topic-claude-skills","topic-cognitive-science","topic-copilot","topic-cursor","topic-deepseek","topic-education"],"categories":["human-skill-tree"],"synonyms":[],"warnings":[],"endpointUrl":"https://skills.sh/24kchengYe/human-skill-tree/05-social-intelligence","protocol":"skill","transport":"skills-sh","auth":{"type":"none","details":{"cli":"npx skills add 24kchengYe/human-skill-tree","source_repo":"https://github.com/24kchengYe/human-skill-tree","install_from":"skills.sh"}},"qualityScore":"0.700","qualityRationale":"deterministic score 0.70 from registry signals: · indexed on github topic:agent-skills · 515 github stars · SKILL.md body (8,610 chars)","verified":false,"liveness":"unknown","lastLivenessCheck":null,"agentReviews":{"count":0,"score_avg":null,"cost_usd_avg":null,"success_rate":null,"latency_p50_ms":null,"narrative_summary":null,"summary_updated_at":null},"enrichmentModel":"deterministic:skill-github:v1","enrichmentVersion":1,"enrichedAt":"2026-05-02T18:53:25.912Z","embedding":null,"createdAt":"2026-04-18T21:57:58.389Z","updatedAt":"2026-05-02T18:53:25.912Z","lastSeenAt":"2026-05-02T18:53:25.912Z","tsv":"'-12':18 '-15':1104 '-2':951,1124 '05':1 '1':216,742,907,950,1072,1083,1123 '10':1103 '1947':1256 '1976':1275 '1981':1249 '1988':1281 '1995':1240 '2':228,754,931,1087,1162 '2006':1265 '2010':1227 '2011':1222 '26岁':1173 '3':243,768,965,1089 '30':14,1068 '4':261,516,525,780,1013 '45岁':1177 '5':287,792,1043,1061 '6':805 '8':523 'across':904 'action':234 'activ':87 'agent':48,1079,1168 'ai':6,28,47 'ai-pow':5 'also':210 'altern':1216 'american':672 'amount':521,526 'analysi':162 'analyz':786 'anchor':1278 'answer':778 'anti':547 'anti-corrupt':546 'approach':804,1217 'arrang':418 'ask':102,110,124,139,391,878 'avoid':524 'awar':173,292,602,692,695,898 'awkward':387 'b':981,989 'banquet':409 'bantam':1243 'base':72,149 'behavior':577 'benefit':299 'beyond':1276 'bill':443 'bill-fight':442 'blame':593 'bodi':727 'bond':478 'book':1244,1254,1279 'boss':817 'boundari':289,888 'briefli':945 'brilliant':237 'build':361,383,708,982 'built':23 'busi':669,868,1272 'callback':1016,1026 'career':20 'case':161 'cast':755 'celebr':1044 'challeng':138 'channel':396 'chart':564 'check':997 'chines':56,206,272,302,557,666 'choreographi':445 'cialdini':1263 'circl':374 'client':845 'close':384,529 'coach':53,187,308,310,356,358,413,489,555,627,689 'coerciv':483 'cognit':25,153,715 'colleagu':836 'combin':664 'come':1028 'common':677 'communic':63,137,571,654 'complex':79,197 'concept':317,913,976,980 'concret':326,656,1046 'conflict':144 'consider':432 'context':208,229,242,544,649,653,753 'convers':123,906,959 'core':214 'corpor':543 'corrupt':548 'could':790,1204 'countri':663 'cover':1019 'credit':591,819 'critic':352 'cross':61,135,212,403,625,633,967 'cross-cultur':60,134,211,624,632 'cross-refer':966 'cue':720 'cultur':62,131,136,174,207,213,262,268,411,626,634,638,1228,1277 'd':472,1239 'damag':841 'debrief':806 'declin':457,834 'definit':622 'deflect':535 'deliveri':530 'demonstr':811 'depend':240 'describ':746 'descript':33 'detail':1195 'determin':424 'develop':171 'dietari':431 'differ':286,803 'difficult':122 'dimens':639 'dine':415 'dinner':850,869,1073 'disagre':587 'disastr':239 'discuss':271 'distanc':644 'distinct':378 'distinguish':276 'dos':657 'drink':410,453,477,853,860 'drive':462 'dual':316 'dynam':58,115,313,559,594 'e.g':665 'e.t':1274 'earlier':978 'emot':684,691,698,713,1241 'empathi':707 'enter':739 'entir':874 'environ':85,160 'eq':686 'errand':883 'especi':204 'etc':505,646 'ethic':288 'etiquett':126,426,531 'even':875 'everyon':41,225 'everyth':231 'exampl':327,812,990,1070,1071,1161 'exchang':785 'exercis':696,712 'expect':855 'experienti':151 'explain':314,372,1008 'exploit':301 'express':724 'face':307,312,324,343,631 'face-threaten':342 'facial':723 'faction':601 'feedback':782,1196 'feel':701 'fei':1258 'fight':444 'first':779,1025 'fisher':1245 'flag':926 'formal':562,963 'front':540 'g':1226 'general':65 'generat':285 'germani':671 'get':923,1250 'gift':128,486,492 'gift-giv':127,485,491 'give':129,487,493,498 'giver':542 'glass':437 'go':993 'goal':296 'goleman':1238 'good':1051,1202 'grace':458 'grasp':916 'guanxi':355 'hall':1273 'hand':533 'handl':78,106,469,829 'harper':1271 'health':460 'heavi':852 'height':438 'help':193,393 'hierarchi':560 'high':648 'high-context':647 'hill':1237 'hofsted':642,1225 'hospit':502 'human':12,201 'identifi':636 'improv':791,1055,1206 'increas':1022 'indirect':614 'individu':645 'influenc':1266 'inform':566 'innat':224 'insider/outsider':377 'insist':449 'instruct':181 'intellig':4,22,31,52,186,304,685,1242 'interact':203 'interperson':57 'interv':1023 'introduc':988 'invit':839,846 'japanes':675 'job':1052 'join':673 'judgment':218 'k':17 'key':346,952 'landscap':612 'languag':728 'last':1003,1056 'later':930 'learn':13,150,163,222 'learner':901 'lectur':247 'let':75,253,769,795,995 'lifelong':11 'like':961 'list':507 'low':652 'low-context':651 'maintain':890,897 'make':258 'manipul':294 'map':362,495 'masteri':909 'materi':956,1020 'mcgraw':1236 'mcgraw-hil':1235 'mean':618,621 'meet':576,825 'mention':93,133 'methodolog':146 'mind':1234 'minut':1030,1062 'mistak':259 'misunderstand':678 'mode':732,741 'modest':534 'monolith':275 'moral':323 'much':430 'must':340 'mutual':298 'name':704 'navig':67,195,341,454,545,553,1074 'need':42,832,1219 'negoti':142 'network':141 'neutral':607 'never':574 'new':940 'next':1032,1041 'norm':132 'north':282 'note':911 'notic':1212 'occas':494 'offer':815 'offic':114 'often':617 'one':1011 'open':538,932 'option':794 'order':425,428,436 'org':563 'organ':1230 'pattern':175,572 'paus':718 'penguin':1253 'peopl':194 'person':667,762,865,882 'perspect':710 'perspective-tak':709 'persuas':1270 'play':156,251,335,641,759,766 'point':953 'polit':113 'power':7,570,643 'practic':77,121,159,256,379,388,738 'prais':350 'precis':265 'prestig':320 'prevent':682 'previous':955,1018 'principl':215,810 'privat':353 'profession':117 'professor':877 'progress':893,1045 'proper':395 'protocol':434 'provid':325,781,1194 'psycholog':1268 'public':351 'question':170 'quick':917,1005 'quiz':946 'r':1246,1264 're':270,862 'read':473,561,610,613,721 'real':166 'real-world':165 'realli':568 'reapprais':716 'reason':461 'recognit':176 'refer':968,1053,1220 'reflect':527 'regul':549,714 'reintroduc':1017 'relationship':118,360,364,528,843,892 'relev':752 'replay':793 'resolut':145 'respond':771,1094,1193 'respons':1199 'reveal':729 'review':896,934 'revisit':929,985 'right':702,777 'role':155,190,250,334,757 'role-play':154,249,333 'room':475 'rule':199,347,419,520 'safe':84,158,260 'say':1050 'scenario':71,148,252,336,416,730,800,813,1163 'scenario-bas':70,147 'scene':745 'schema':177 'scienc':26 'seat':417 'second':1069 'self':694 'self-awar':693 'sentenc':1012 'session':941,1036,1042 'set':743,887 'shift':944 'sign':400 'signal':615,910,1208 'silent':584 'simul':73,157,244,731,740,1164 'situat':81,109,152,168,180,332,345,635,750 'skill':8,15,35,44,89,220 'skill-05-social-intelligence' 'social':3,21,30,51,66,80,108,172,179,185,202,219,291,303,319,719,749,809 'social-intellig':2 'socrat':169 'softwar':1231 'soil':1262 'someth':924 'somewher':227 'source-24kchengye' 'south':284 'space':895,1015 'speak':580 'special':54 'specif':263,662,706,748 'spot':970 'start':226,937 'state':903 'stay':583,606 'strateg':717 'struggl':919,974 'student':915,948,973 'style':655 'suggest':1214 'summar':807 'superior':590 'taboo':506 'take':711,818 'teach':39,290 'team':676 'tell':774 'territori':406 'test':964 'textbook':38 'threaten':344 'time':1004,1057 'toast':433 'tone':725 'took':1059 'topic':943 'topic-agent-skills' 'topic-ai-education' 'topic-ai-learning' 'topic-ai-tutor' 'topic-chatgpt' 'topic-claude-code' 'topic-claude-skills' 'topic-cognitive-science' 'topic-copilot' 'topic-cursor' 'topic-deepseek' 'topic-education' 'track':894,908 'train':687 'transform':45 'tree':9 'tri':797 'trigger':86 'troubl':1000 'ts':660 'type':365 'uneth':405 'unwritten':198 'uri':1247 'use':69,248,1014 'user':76,92,255,339,630,735,765,1075,1093,1165,1192 'visit':503 'vs':278,280,283,321,440,479,565,650,918 'w':1248 'walk':870 'want':119,736 'warn':399 'weak':969 'wed':504,838 'within':1029,1033 'without':385,598,840 'work':788,822 'workplac':112,552,558 'world':167 'wrong':925 'x':1002 'xiaotong':1259 'x总':1145 'yes':1252 'yield':452 'youngest':864 '下周要和客户吃饭':1076 '不主动点菜':1118 '不太方便':620 '不抢风头':1099 '不要坐主位':1109 '丢面子':331 '个安全选项':1125 '中国人情世故':305 '中国人的关系原理':1223 '中国人的权力游戏':1283 '中秋':501 '主位':420 '主宾动筷子之前不要先吃':1130 '也不要坐最差的位置':1112 '乡土中国':1257 '买单':1153 '了解餐厅位置':1106 '人情与面子':1282 '人情世故':59,94 '人类养成记':27 '以茶代酒':459,1152 '伞':512 '但在适当时候做出要去买单的姿态':1155 '体制内':277 '作为桌上最年轻的人':1095 '你':1171 '你再逐一敬':1142 '你和客户是什么关系':1084 '你大概率不需要买单':1154 '你就去前台把单买了':1157 '你怎么回应':1190 '你来练习':1160 '你的直属领导会在场吗':1088 '你的角色是':1096 '倒茶':1132 '先确认几个关键信息':1082 '先问主宾有没有忌口':1121 '八项规定':550 '公司bd专员':1174 '公开表扬':348 '关系':98,354,402 '具体':1100 '内外有别':376 '再推荐':1122 '出风头':600 '分钟到':1105 '初次见面':1085 '到场前':1101 '副主位':421 '劝酒':467,471 '勤快':1097 '北京大学出版社':1224 '吃饭时':1129 '同事':368 '同学':367 '和他的助理':1179 '圈子':373 '在什么档次的餐厅':1091 '场景':1169 '坐在你领导旁边或对面':1115 '外企':281 '多倾听':1138 '多请示多汇报':573 '大概几个人':1090 '套近乎':382 '好':1166 '好的':1080 '如果不能喝酒':1149 '如果被问':1120 '如果领导使眼色':1156 '宁多不少':1127 '宁贵不cheap':1128 '宴请合作方的李总':1176 '家人':366 '对方公司副总裁':1178 '小活':1135 '小王':1172 '小王是吧':1185 '少说话':1137 '师生':371 '帮忙转桌':1131 '干杯':439 '年轻人不错':1186 '座位':1108 '张总手下有人才啊':1187 '很高兴认识您':1146 '得体':1098 '必要时在门口迎接':1107 '情商':96 '感谢您的支持':1147 '我们喝一个':1189 '我扮演客户':1159 '我敬您一杯':1148 '我是最年轻的':1077 '战友':370 '托人':398 '找关系':397 '抢买单':446 '招呼服务员':1133 '提前和你领导说':1150 '散':513 '敬酒':435,1140 '方便配合':1116 '春节':500 '是加分项':1136 '李总':1182 '来来来':1188 '来模拟吧':1167 '杯子比对方低':1143 '某高档中餐厅包间':1170 '梨':510 '死':517 '比约定时间早':1102 '民企':279 '点菜时':1117 '留给你的领导或主宾':1111 '留面子':330 '看着你':1184 '社交':95 '社交智慧':32 '社交智慧教练':188 '离':511 '私下批评':349 '站队':603 '端起酒杯':1183 '等领导先敬完主宾':1141 '红包':519 '终':509 '给面子':329 '绿帽子':518 '翟学伟':1221 '老乡':369 '考虑考虑':616 '职场':551 '脸':322 '菜已上齐':1180 '表功':597 '被问到时回答简洁有力':1139 '要不要模拟一下这个场景':1158 '让我帮你准备':1081 '记住':1126 '话术':1144 '该怎么表现':1078 '费孝通':1255 '越级汇报':575 '这些':1134 '送礼':99,484 '那显得太刻意':1114 '邪':515 '酒桌':101,408 '酒过三巡':1181 '钟':508 '长期合作':1086 '除非领导让你点':1119 '陪同你的部门总监张总':1175 '随意':441 '靠服务员通道的':1113 '面子':97,306,318 '面对门的位置':1110 '鞋':514 '饭局':100,407 '饭局上用':1151 '驱动的终身学习技能树':29 '黄光国':1280","prices":[{"id":"bb05cf1d-91e7-4a1e-907e-a0c1f6d25a07","listingId":"6454b46b-4935-4b2b-8fb9-b7d902dc6734","amountUsd":"0","unit":"free","nativeCurrency":null,"nativeAmount":null,"chain":null,"payTo":null,"paymentMethod":"skill-free","isPrimary":true,"details":{"org":"24kchengYe","category":"human-skill-tree","install_from":"skills.sh"},"createdAt":"2026-04-18T21:57:58.389Z"}],"sources":[{"listingId":"6454b46b-4935-4b2b-8fb9-b7d902dc6734","source":"github","sourceId":"24kchengYe/human-skill-tree/05-social-intelligence","sourceUrl":"https://github.com/24kchengYe/human-skill-tree/tree/master/skills/05-social-intelligence","isPrimary":false,"firstSeenAt":"2026-04-18T21:57:58.389Z","lastSeenAt":"2026-05-02T18:53:25.912Z"}],"details":{"listingId":"6454b46b-4935-4b2b-8fb9-b7d902dc6734","quickStartSnippet":null,"exampleRequest":null,"exampleResponse":null,"schema":null,"openapiUrl":null,"agentsTxtUrl":null,"citations":[],"useCases":[],"bestFor":[],"notFor":[],"kindDetails":{"org":"24kchengYe","slug":"05-social-intelligence","github":{"repo":"24kchengYe/human-skill-tree","stars":515,"topics":["agent-skills","ai-education","ai-learning","ai-tutor","chatgpt","claude-code","claude-skills","cognitive-science","copilot","cursor","deepseek","education","gemini","k12","learning-science","lifelong-learning","mcp-server","skill-tree","social-intelligence","spaced-repetition"],"license":"other","html_url":"https://github.com/24kchengYe/human-skill-tree","pushed_at":"2026-03-25T05:22:57Z","description":"🌳 AI-Powered Skill Tree for Lifelong Human Learning. 30+ skills from K-12 to career & social intelligence, built on cognitive science. | 人类养成记：AI 驱动的终身学习技能树","skill_md_sha":"cf112e07094c3bcdeba9adfccb325447ceb70165","skill_md_path":"skills/05-social-intelligence/SKILL.md","default_branch":"master","skill_tree_url":"https://github.com/24kchengYe/human-skill-tree/tree/master/skills/05-social-intelligence"},"layout":"multi","source":"github","category":"human-skill-tree","frontmatter":{},"skills_sh_url":"https://skills.sh/24kchengYe/human-skill-tree/05-social-intelligence"},"updatedAt":"2026-05-02T18:53:25.912Z"}}