[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FP2GECHGH69T4R2K2F9H73":3,"skill-same:01M6FP2GECHGH69T4R2K2F9H73":72},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":32,"linkOnly":33,"markdownContent":34,"markdownBody":35,"frontMatter":36,"refName":37,"commitSha":38,"skillDirectory":39,"forksCount":40,"repositoryHtmlUrl":41,"repositoryHomepageUrl":6,"ownerHtmlUrl":42,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":43,"install":44,"resources":57},"01M6FP2GECHGH69T4R2K2F9H73","got-it",null,"Schelling point coordination game where players converge on a shared word. Use when someone initiates the \"got it\" game, when managing active game state in Discord\u002FTelegram channels, or when responding to \"got it\" messages during gameplay.","kbarbel640-del\u002Fskills","kbarbel640-del","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F255315490?v=4","01M6CJPPQGCCESXMG3K7BBGQ5J","01M6CJPPX2PB2BCZERFVM2C2B3",1,"MIT","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fgigi-trifle\u002Fgot-it\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31],"it","got it","discord","state","messages","game","Word","coordination","use","gameplay","telegram","active","shared","channels","2026-11-10 10:12:30",false,"---\nname: got-it\ndescription: Schelling point coordination game where players converge on a shared word. Use when someone initiates the \"got it\" game, when managing active game state in Discord\u002FTelegram channels, or when responding to \"got it\" messages during gameplay.\n---\n\n# Got It Game\n\nA Schelling point coordination game where players attempt to converge on the same word through iterative guessing.\n\n## Game Rules\n\n1. **Starting**: Game begins when 2 players say \"got it\" in the channel\n2. **Revealing**: Both players reveal a word (any word)\n3. **Win Condition**: If words match → everyone wins, game ends\n4. **Next Round**: If words differ → new round starts, wait for 2 new \"got it\" messages\n5. **Convergence Strategy**: Each round, players choose a word \"between\" the previous two words, aiming to find a Schelling point where both players meet\n\n## State Management\n\nGame state is stored in `~\u002F.openclaw\u002Fworkspace\u002Fgot-it-state.json`. See `references\u002Fstate-schema.md` for full schema.\n\n**Load state** at the start of every interaction to check if a game is active.\n\n**Save state** after every state change (new \"got it\", reveal, round transition).\n\n## Game Flow\n\n### 1. Game Initiation\n\nWhen someone says \"got it\" in a channel:\n\n1. Load or create state file\n2. Check if this is first \"got it\" of a round\n3. If first: Record player and wait for second\n4. If second: Transition to revealing state and prompt both players to reveal\n\n**Response when first player says \"got it\":**\n```\n? Got one! Waiting for one more to \"got it\"...\n```\n\n**Response when second player says \"got it\":**\n```\n? Two players ready! @player1 and @player2, reveal your words!\n\nRound {N} {context_if_not_first_round}\n```\n\nIf not first round, include context:\n```\nPrevious words: \"{word1}\" vs \"{word2}\"\nFind the Schelling point between them!\n```\n\n### 2. Word Revelation\n\nWhen a player who said \"got it\" posts a word:\n\n1. Record their word in state\n2. Wait for second player's word\n3. When both revealed: Check if words match\n\n**If words match:**\n```\n? CONVERGENCE! Both said \"{word}\"!\n\nEveryone wins! Game complete in {N} rounds.\n? {summary_of_journey}\n```\n\n**If words don't match:**\n```\nRound {N}: \"{word1}\" vs \"{word2}\"\n\n? New round! Who's got it?\n```\n\n### 3. Agent Participation\n\nWhen participating as a player:\n\n1. **Delay before \"got it\"**: Wait 5 seconds after detecting \"waiting for got it\" state before saying \"got it\" (give humans priority)\n2. **Delay before reveal**: When in revealing state and agent is one of the two players, **wait for the other player to reveal their word first** before revealing. Do NOT reveal immediately after prompting players.\n3. **Reveal Strategy**: When revealing, use Schelling point reasoning:\n   - Round 1: Choose highly salient, universal concepts (e.g., \"water\", \"love\", \"home\")\n   - Round 2+: Choose the most obvious conceptual midpoint between the two previous words\n   - Prefer: Common nouns, concrete objects, basic emotions, universal experiences\n   - Avoid: Obscure references, proper nouns, technical terms\n\n### 4. State Cleanup\n\nDelete state file when:\n- Game completes (words match)\n- 24+ hours since `lastActivity` (abandoned game)\n\n## Schelling Point Strategy\n\n**Round 1 (no previous words):**\nChoose from highly salient universal concepts:\n- Basic elements: water, fire, earth, air\n- Universal emotions: love, fear, joy\n- Basic needs: food, home, family\n- Fundamental concepts: time, life, death\n\n**Round 2+ (converging):**\n\nGiven previous words W1 and W2, choose the most obvious bridge concept:\n\nExamples:\n- \"hot\" & \"cold\" → \"warm\" or \"temperature\"\n- \"cat\" & \"dog\" → \"pet\" or \"animal\"  \n- \"night\" & \"day\" → \"time\" or \"dusk\"\n- \"love\" & \"hate\" → \"emotion\" or \"passion\"\n\n**Selection heuristics:**\n1. Superordinate category (cat\u002Fdog → animal)\n2. Midpoint on a spectrum (hot\u002Fcold → warm)\n3. Common context (fork\u002Fknife → table, meal)\n4. Obvious associations shared by both (sun\u002Fmoon → sky, light)\n\n**Avoid:**\n- Obscure connections only you see\n- Wordplay or puns (not universal)\n- Abstract philosophy (too subjective)\n- Multiple degrees of separation\n\n## Message Detection\n\nDetect \"got it\" by checking if message:\n- Exactly matches \"got it\" (case-insensitive)\n- Matches \"got it\" with punctuation: \"got it!\", \"got it?\"\n- Variants: \"Got it.\", \"GOT IT\"\n\nDo NOT match:\n- \"I got it working\" (conversational usage)\n- \"You got it right\" (different context)\n\nUse exact phrase matching to avoid false positives.\n\n## Example Gameplay\n\n**Round 1:**\n```\nAlice: got it\nBot: ? Got one! Waiting for one more...\nBob: got it\nBot: ? Two players ready! @Alice and @Bob, reveal your words! Round 1\nAlice: tree\nBob: water\nBot: Round 1: \"tree\" vs \"water\"\n     ? New round! Who's got it?\n```\n\n**Round 2:**\n```\nCarol: got it\nAlice: got it  \nBot: ? Two players ready! @Carol and @Alice, reveal your words!\n     Previous words: \"tree\" vs \"water\"\n     Find the Schelling point between them!\nCarol: nature\nAlice: plant\nBot: Round 2: \"nature\" vs \"plant\"\n     ? New round! Who's got it?\n```\n\n**Round 3:**\n```\nBob: got it\nCarol: got it\nBot: ? Two players ready! @Bob and @Carol, reveal your words!\n     Previous words: \"nature\" vs \"plant\"  \n     Find the Schelling point between them!\nBob: nature\nCarol: nature\nBot: ? CONVERGENCE! Both said \"nature\"!\n     \n     Everyone wins! Game complete in 3 rounds.\n     ? tree vs water → nature vs plant → NATURE!\n```\n\n## Error Handling\n\n**Player reveals when not in revealing state:**\nIgnore (might be regular conversation)\n\n**Same player says \"got it\" twice in one round:**\nIgnore duplicate, don't count twice\n\n**Player who didn't say \"got it\" tries to reveal:**\nPolitely note only the two players can reveal this round\n\n**Channel confusion (game in multiple channels):**\nState includes `channelId` — only respond to game in the active channel\n","# Got It Game\n\nA Schelling point coordination game where players attempt to converge on the same word through iterative guessing.\n\n## Game Rules\n\n1. **Starting**: Game begins when 2 players say \"got it\" in the channel\n2. **Revealing**: Both players reveal a word (any word)\n3. **Win Condition**: If words match → everyone wins, game ends\n4. **Next Round**: If words differ → new round starts, wait for 2 new \"got it\" messages\n5. **Convergence Strategy**: Each round, players choose a word \"between\" the previous two words, aiming to find a Schelling point where both players meet\n\n## State Management\n\nGame state is stored in `~\u002F.openclaw\u002Fworkspace\u002Fgot-it-state.json`. See `references\u002Fstate-schema.md` for full schema.\n\n**Load state** at the start of every interaction to check if a game is active.\n\n**Save state** after every state change (new \"got it\", reveal, round transition).\n\n## Game Flow\n\n### 1. Game Initiation\n\nWhen someone says \"got it\" in a channel:\n\n1. Load or create state file\n2. Check if this is first \"got it\" of a round\n3. If first: Record player and wait for second\n4. If second: Transition to revealing state and prompt both players to reveal\n\n**Response when first player says \"got it\":**\n```\n? Got one! Waiting for one more to \"got it\"...\n```\n\n**Response when second player says \"got it\":**\n```\n? Two players ready! @player1 and @player2, reveal your words!\n\nRound {N} {context_if_not_first_round}\n```\n\nIf not first round, include context:\n```\nPrevious words: \"{word1}\" vs \"{word2}\"\nFind the Schelling point between them!\n```\n\n### 2. Word Revelation\n\nWhen a player who said \"got it\" posts a word:\n\n1. Record their word in state\n2. Wait for second player's word\n3. When both revealed: Check if words match\n\n**If words match:**\n```\n? CONVERGENCE! Both said \"{word}\"!\n\nEveryone wins! Game complete in {N} rounds.\n? {summary_of_journey}\n```\n\n**If words don't match:**\n```\nRound {N}: \"{word1}\" vs \"{word2}\"\n\n? New round! Who's got it?\n```\n\n### 3. Agent Participation\n\nWhen participating as a player:\n\n1. **Delay before \"got it\"**: Wait 5 seconds after detecting \"waiting for got it\" state before saying \"got it\" (give humans priority)\n2. **Delay before reveal**: When in revealing state and agent is one of the two players, **wait for the other player to reveal their word first** before revealing. Do NOT reveal immediately after prompting players.\n3. **Reveal Strategy**: When revealing, use Schelling point reasoning:\n   - Round 1: Choose highly salient, universal concepts (e.g., \"water\", \"love\", \"home\")\n   - Round 2+: Choose the most obvious conceptual midpoint between the two previous words\n   - Prefer: Common nouns, concrete objects, basic emotions, universal experiences\n   - Avoid: Obscure references, proper nouns, technical terms\n\n### 4. State Cleanup\n\nDelete state file when:\n- Game completes (words match)\n- 24+ hours since `lastActivity` (abandoned game)\n\n## Schelling Point Strategy\n\n**Round 1 (no previous words):**\nChoose from highly salient universal concepts:\n- Basic elements: water, fire, earth, air\n- Universal emotions: love, fear, joy\n- Basic needs: food, home, family\n- Fundamental concepts: time, life, death\n\n**Round 2+ (converging):**\n\nGiven previous words W1 and W2, choose the most obvious bridge concept:\n\nExamples:\n- \"hot\" & \"cold\" → \"warm\" or \"temperature\"\n- \"cat\" & \"dog\" → \"pet\" or \"animal\"  \n- \"night\" & \"day\" → \"time\" or \"dusk\"\n- \"love\" & \"hate\" → \"emotion\" or \"passion\"\n\n**Selection heuristics:**\n1. Superordinate category (cat\u002Fdog → animal)\n2. Midpoint on a spectrum (hot\u002Fcold → warm)\n3. Common context (fork\u002Fknife → table, meal)\n4. Obvious associations shared by both (sun\u002Fmoon → sky, light)\n\n**Avoid:**\n- Obscure connections only you see\n- Wordplay or puns (not universal)\n- Abstract philosophy (too subjective)\n- Multiple degrees of separation\n\n## Message Detection\n\nDetect \"got it\" by checking if message:\n- Exactly matches \"got it\" (case-insensitive)\n- Matches \"got it\" with punctuation: \"got it!\", \"got it?\"\n- Variants: \"Got it.\", \"GOT IT\"\n\nDo NOT match:\n- \"I got it working\" (conversational usage)\n- \"You got it right\" (different context)\n\nUse exact phrase matching to avoid false positives.\n\n## Example Gameplay\n\n**Round 1:**\n```\nAlice: got it\nBot: ? Got one! Waiting for one more...\nBob: got it\nBot: ? Two players ready! @Alice and @Bob, reveal your words! Round 1\nAlice: tree\nBob: water\nBot: Round 1: \"tree\" vs \"water\"\n     ? New round! Who's got it?\n```\n\n**Round 2:**\n```\nCarol: got it\nAlice: got it  \nBot: ? Two players ready! @Carol and @Alice, reveal your words!\n     Previous words: \"tree\" vs \"water\"\n     Find the Schelling point between them!\nCarol: nature\nAlice: plant\nBot: Round 2: \"nature\" vs \"plant\"\n     ? New round! Who's got it?\n```\n\n**Round 3:**\n```\nBob: got it\nCarol: got it\nBot: ? Two players ready! @Bob and @Carol, reveal your words!\n     Previous words: \"nature\" vs \"plant\"  \n     Find the Schelling point between them!\nBob: nature\nCarol: nature\nBot: ? CONVERGENCE! Both said \"nature\"!\n     \n     Everyone wins! Game complete in 3 rounds.\n     ? tree vs water → nature vs plant → NATURE!\n```\n\n## Error Handling\n\n**Player reveals when not in revealing state:**\nIgnore (might be regular conversation)\n\n**Same player says \"got it\" twice in one round:**\nIgnore duplicate, don't count twice\n\n**Player who didn't say \"got it\" tries to reveal:**\nPolitely note only the two players can reveal this round\n\n**Channel confusion (game in multiple channels):**\nState includes `channelId` — only respond to game in the active channel\n",{"name":5,"description":7},"main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Fgigi-trifle\u002Fgot-it",0,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del","2026-08-23 22:39:37",{"source":8,"skillName":5,"commands":45,"prompt":55,"zipAvailable":56},[46,49,52],{"tool":47,"command":48},"npx","npx skills add kbarbel640-del\u002Fskills --skill got-it",{"tool":50,"command":51},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill got-it",{"tool":53,"command":54},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill got-it","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fgigi-trifle\u002Fgot-it\u002FSKILL.md",true,[58,64,68],{"path":59,"resourceType":60,"resourceTypeDesc":61,"sizeBytes":62,"sourceHtmlUrl":63},"_meta.json","REFERENCE","参考文档",274,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fgigi-trifle\u002Fgot-it\u002F_meta.json",{"path":65,"resourceType":60,"resourceTypeDesc":61,"sizeBytes":66,"sourceHtmlUrl":67},"clawdhub.json",386,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fgigi-trifle\u002Fgot-it\u002Fclawdhub.json",{"path":69,"resourceType":60,"resourceTypeDesc":61,"sizeBytes":70,"sourceHtmlUrl":71},"references\u002Fstate-schema.md",1268,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fgigi-trifle\u002Fgot-it\u002Freferences\u002Fstate-schema.md",[73,104,132,153,159,179],{"skillNo":74,"name":75,"nameZh":6,"description":76,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":77,"categories":78,"keywords":84,"publishedAt":32},"01M6G8J55967D6281ACMKAKTEQ","crowd-prompting","A marketplace where AI agents improve prompts, system instructions, tool descriptions, and other text-based content with domain expertise from real-world operations — and earn tokens for valuable contributions.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzzadrian\u002Fcrowd-prompting\u002FSKILL.md",[79],{"categoryNo":80,"categoryName":81,"taxonomyType":82,"taxonomyTypeDesc":83},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103],"crowd prompting","prompting","api","with","tokens","domain","world","prompts","operations","instructions","text","tool","system","improve","productivity","marketplace","https","content","ai agents",{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":115,"publishedAt":32},"01M6G8J0PKPAYVET6BWE8W4C26","dilemm-ai","Compete in DilemmAI, the prisoner's dilemma AI arena at dilemm.ai. Use when an OpenClaw agent wants to create an account, design and submit strategy prompts for their bot, enter matchmaking, analyze historical matches and leaderboards, and iterate on bot strategy. Requires headless browser automation (no API available yet).","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzyori\u002Fdilemm-ai\u002FSKILL.md",[110],{"categoryNo":111,"categoryName":112,"taxonomyType":113,"taxonomyTypeDesc":114},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[116,87,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,92,26],"dilemm ai","arena","analyze","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking",{"skillNo":133,"name":134,"nameZh":6,"description":135,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":136,"categories":137,"keywords":141,"publishedAt":32},"01M6G8HWAF3K9SW7NP3Z83CPJ6","arxiv-paper-reviews","Interact with arXiv Crawler API to fetch papers, read reviews, and submit comments. Use when working with arXiv papers, fetching paper lists by date\u002Fcategory\u002Finterest, viewing paper details with comments, or submitting paper reviews via API at http:\u002F\u002F150.158.152.82:8000.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Fweak-accept\u002FSKILL.md",[138],{"categoryNo":139,"categoryName":140,"taxonomyType":113,"taxonomyTypeDesc":114},"01JBSEEDCAT000000000000021","资料检索与研究",[142,143,144,145,146,147,148,88,149,130,26,150,87,151,152],"arxiv paper reviews","reviews","arxiv","paper","crawler","papers","comments","fetch","read","http","via",{"skillNo":154,"name":134,"nameZh":6,"description":135,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":155,"categories":156,"keywords":158,"publishedAt":32},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[157],{"categoryNo":139,"categoryName":140,"taxonomyType":113,"taxonomyTypeDesc":114},[145,144,143,142,152,147,148,88,146,130,26,149,150,87,151],{"skillNo":160,"name":161,"nameZh":6,"description":162,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":163,"categories":164,"keywords":165,"publishedAt":32},"01M6G8HM95Y64JNVFC2HN4E2BG","git-summary","Get a quick summary of the current Git repository including status, recent commits, branches, and contributors.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzweack\u002Fgit-summary\u002FSKILL.md",[],[166,167,168,169,170,171,172,173,174,175,176,177,178],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":180,"name":181,"nameZh":6,"description":182,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":183,"categories":184,"keywords":189,"publishedAt":32},"01M6G8HGEGF05CNEJCGVYFSC4R","agent-constitution","Interact with AgentConstitution governance contracts on Base Sepolia. Check compliance, read rules, log actions, query governance state.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fztsalexey\u002Fagent-constitution\u002FSKILL.md",[185,186],{"categoryNo":111,"categoryName":112,"taxonomyType":113,"taxonomyTypeDesc":114},{"categoryNo":187,"categoryName":188,"taxonomyType":82,"taxonomyTypeDesc":83},"01JBSEEDCAT000000000000037","律师与法务",[190,191,192,193,88,194,195,37,196,150,197,198,199,200,201,101,21,202,203],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","governance","github"]