[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FSN23MB42BADWDJJ72T7M3":3,"skill-same:01M6FSN23MB42BADWDJJ72T7M3":70},{"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":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":46,"repositoryHtmlUrl":47,"repositoryHomepageUrl":6,"ownerHtmlUrl":48,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":49,"install":50,"resources":63},"01M6FSN23MB42BADWDJJ72T7M3","munger-observer",null,"Daily wisdom review applying Charlie Munger's mental models to your work and thinking. Use when asked to review decisions, analyze thinking patterns, detect biases, apply mental models, do a \"Munger review\", or run the Munger Observer. Triggers on scheduled daily reviews or manual requests like \"run munger observer\", \"review my thinking\", \"check for blind spots\", or \"apply mental models\".","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\u002Fjdrhyne\u002Fmunger-observer\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"munger observer","requests","review","manual","reviews","charlie","detect","triggers","wisdom","thinking","spots","do","models","daily","use","decisions","check","work","analyze","run","2026-11-10 10:12:30",false,"---\nname: munger-observer\ndescription: Daily wisdom review applying Charlie Munger's mental models to your work and thinking. Use when asked to review decisions, analyze thinking patterns, detect biases, apply mental models, do a \"Munger review\", or run the Munger Observer. Triggers on scheduled daily reviews or manual requests like \"run munger observer\", \"review my thinking\", \"check for blind spots\", or \"apply mental models\".\n---\n\n# Munger Observer\n\nAutomated daily review applying Charlie Munger's mental models to surface blind spots and cognitive traps.\n\n## Process\n\n### 1. Gather Today's Activity\n- Read today's memory file (`memory\u002FYYYY-MM-DD.md`)\n- Scan session logs for today's activity\n- Extract: decisions made, tasks worked on, problems tackled, user requests\n\n### 2. Apply Mental Models\n\n**Inversion**\n- What could go wrong? What's the opposite of success here?\n- \"Tell me where I'm going to die, so I'll never go there.\"\n\n**Second-Order Thinking**\n- And then what? Consequences of the consequences?\n- Short-term gains creating long-term problems?\n\n**Incentive Analysis**\n- What behaviors are being rewarded? Hidden incentive structures?\n- \"Show me the incentive and I'll show you the outcome.\"\n\n**Opportunity Cost**\n- What's NOT being done? Cost of this focus?\n- Best alternative foregone?\n\n**Bias Detection**\n- Confirmation bias: Only seeking validating information?\n- Sunk cost fallacy: Continuing because of past investment?\n- Social proof: Doing it because others do?\n- Availability bias: Overweighting recent\u002Fvivid information?\n\n**Circle of Competence**\n- Operating within known territory or outside?\n- If outside, appropriate humility\u002Fcaution?\n\n**Margin of Safety**\n- What's the buffer if things go wrong?\n- Cutting it too close anywhere?\n\n### 3. Generate Output\n\n**If insights found:** 1-2 concise Munger-style observations\n**If nothing notable:** \"All clear — no cognitive landmines detected today.\"\n\n## Output Format\n```\n? **Munger Observer** — [Date]\n\n[Insight 1: Model applied + observation + implication]\n\n[Insight 2 if applicable]\n\n— \"Invert, always invert.\" — Carl Jacobi (Munger's favorite)\n```\n\n## Example\n```\n? **Munger Observer** — January 19, 2026\n\n**Opportunity Cost Alert:** Heavy focus on infrastructure today. The content queue is aging — are drafts decaying in value while we polish tools?\n\n**Second-Order Check:** Speed improvement is good first-order thinking. Second-order: faster responses may raise expectations for response quality. Speed without substance is a trap.\n\n— \"Invert, always invert.\"\n```\n\n## Scheduling (Optional)\nSet up a cron job for daily automated review:\n- Recommended time: End of workday (e.g., 5pm local)\n- Trigger message: `MUNGER_OBSERVER_RUN`\n","# Munger Observer\n\nAutomated daily review applying Charlie Munger's mental models to surface blind spots and cognitive traps.\n\n## Process\n\n### 1. Gather Today's Activity\n- Read today's memory file (`memory\u002FYYYY-MM-DD.md`)\n- Scan session logs for today's activity\n- Extract: decisions made, tasks worked on, problems tackled, user requests\n\n### 2. Apply Mental Models\n\n**Inversion**\n- What could go wrong? What's the opposite of success here?\n- \"Tell me where I'm going to die, so I'll never go there.\"\n\n**Second-Order Thinking**\n- And then what? Consequences of the consequences?\n- Short-term gains creating long-term problems?\n\n**Incentive Analysis**\n- What behaviors are being rewarded? Hidden incentive structures?\n- \"Show me the incentive and I'll show you the outcome.\"\n\n**Opportunity Cost**\n- What's NOT being done? Cost of this focus?\n- Best alternative foregone?\n\n**Bias Detection**\n- Confirmation bias: Only seeking validating information?\n- Sunk cost fallacy: Continuing because of past investment?\n- Social proof: Doing it because others do?\n- Availability bias: Overweighting recent\u002Fvivid information?\n\n**Circle of Competence**\n- Operating within known territory or outside?\n- If outside, appropriate humility\u002Fcaution?\n\n**Margin of Safety**\n- What's the buffer if things go wrong?\n- Cutting it too close anywhere?\n\n### 3. Generate Output\n\n**If insights found:** 1-2 concise Munger-style observations\n**If nothing notable:** \"All clear — no cognitive landmines detected today.\"\n\n## Output Format\n```\n? **Munger Observer** — [Date]\n\n[Insight 1: Model applied + observation + implication]\n\n[Insight 2 if applicable]\n\n— \"Invert, always invert.\" — Carl Jacobi (Munger's favorite)\n```\n\n## Example\n```\n? **Munger Observer** — January 19, 2026\n\n**Opportunity Cost Alert:** Heavy focus on infrastructure today. The content queue is aging — are drafts decaying in value while we polish tools?\n\n**Second-Order Check:** Speed improvement is good first-order thinking. Second-order: faster responses may raise expectations for response quality. Speed without substance is a trap.\n\n— \"Invert, always invert.\"\n```\n\n## Scheduling (Optional)\nSet up a cron job for daily automated review:\n- Recommended time: End of workday (e.g., 5pm local)\n- Trigger message: `MUNGER_OBSERVER_RUN`\n",{"name":5,"description":7},"main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Fjdrhyne\u002Fmunger-observer",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":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add kbarbel640-del\u002Fskills --skill munger-observer",{"tool":56,"command":57},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill munger-observer",{"tool":59,"command":60},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill munger-observer","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fjdrhyne\u002Fmunger-observer\u002FSKILL.md",true,[64],{"path":65,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":68,"sourceHtmlUrl":69},"_meta.json","REFERENCE","参考文档",283,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fjdrhyne\u002Fmunger-observer\u002F_meta.json",[71,102,129,149,155,175],{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":82,"publishedAt":38},"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",[77],{"categoryNo":78,"categoryName":79,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101],"crowd prompting","prompting","api","with","tokens","domain","world","prompts","operations","instructions","text","tool","system","improve","productivity","marketplace","https","content","ai agents",{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":113,"publishedAt":38},"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",[108],{"categoryNo":109,"categoryName":110,"taxonomyType":111,"taxonomyTypeDesc":112},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[114,85,115,36,116,117,118,119,120,121,122,123,124,125,126,127,128,90,32],"dilemm ai","arena","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking",{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":138,"publishedAt":38},"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",[135],{"categoryNo":136,"categoryName":137,"taxonomyType":111,"taxonomyTypeDesc":112},"01JBSEEDCAT000000000000021","资料检索与研究",[139,22,140,141,142,143,144,86,145,127,32,146,85,147,148],"arxiv paper reviews","arxiv","paper","crawler","papers","comments","fetch","read","http","via",{"skillNo":150,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":151,"categories":152,"keywords":154,"publishedAt":38},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[153],{"categoryNo":136,"categoryName":137,"taxonomyType":111,"taxonomyTypeDesc":112},[141,140,22,139,148,143,144,86,142,127,32,145,146,85,147],{"skillNo":156,"name":157,"nameZh":6,"description":158,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":159,"categories":160,"keywords":161,"publishedAt":38},"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",[],[162,163,164,165,166,167,168,169,170,171,172,173,174],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":176,"name":177,"nameZh":6,"description":178,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":179,"categories":180,"keywords":185,"publishedAt":38},"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",[181,182],{"categoryNo":109,"categoryName":110,"taxonomyType":111,"taxonomyTypeDesc":112},{"categoryNo":183,"categoryName":184,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000037","律师与法务",[186,187,188,189,86,190,191,43,192,146,34,193,194,195,196,99,197,198,199],"agent constitution","constitution","contracts","tree","query","base","log","Rules","projects","compliance","actions","state","governance","github"]