[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6G01RZJRX34J6NK8D7GRCE9":3,"skill-same:01M6G01RZJRX34J6NK8D7GRCE9":75},{"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":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":54,"install":55,"resources":68},"01M6G01RZJRX34J6NK8D7GRCE9","save-money",null,"Auto-detect task complexity for Claude models (Haiku + Sonnet). Route simple tasks to Haiku, escalate complex ones to Sonnet. Save 50%+ on API costs. | 適用 Claude 模型（Haiku + Sonnet），自動偵測任務難度，簡單用 Haiku，複雜升級 Sonnet，輕鬆省下 50% 以上的費用。— RULES: Before responding, classify the task. If it matches an escalation trigger, call sessions_spawn with the full task and model anthropic\u002Fclaude-sonnet-4-20250514 IMMEDIATELY. Do NOT answer complex tasks yourself. ESCALATE: analysis, comparisons, planning, strategy, code >10 lines, reports, proposals, multi-step reasoning, tables, outlines, charts, long writing >3 paragraphs, summarization, long translation. NEVER on Haiku: comparison tables, code >10 lines, multi-step analysis, reports, complex reasoning. STAY on Haiku: factual Q&A, definitions, greetings, reminders, short lookups, casual chat, 1-2 sentence tasks. When in doubt, escalate. Keep Haiku replies concise.","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\u002Fpeterokase42\u002Fsave-money\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"save money","money","save","haiku","route","translation","reports","complexity","never","auto","short","writing","model","Charts","api","analysis","Outlines","code","tasks","reminders","2026-11-10 10:12:30",false,"---\nname: save-money\ndescription: >-\n  Auto-detect task complexity for Claude models (Haiku + Sonnet). Route simple\n  tasks to Haiku, escalate complex ones to Sonnet. Save 50%+ on API costs. |\n  適用 Claude 模型（Haiku + Sonnet），自動偵測任務難度，簡單用 Haiku，複雜升級\n  Sonnet，輕鬆省下 50% 以上的費用。— RULES: Before responding, classify the task.\n  If it matches an escalation trigger, call sessions_spawn with the full task\n  and model anthropic\u002Fclaude-sonnet-4-20250514 IMMEDIATELY. Do NOT answer\n  complex tasks yourself. ESCALATE: analysis, comparisons, planning, strategy,\n  code >10 lines, reports, proposals, multi-step reasoning, tables, outlines,\n  charts, long writing >3 paragraphs, summarization, long translation. NEVER\n  on Haiku: comparison tables, code >10 lines, multi-step analysis, reports,\n  complex reasoning. STAY on Haiku: factual Q&A, definitions, greetings,\n  reminders, short lookups, casual chat, 1-2 sentence tasks. When in doubt,\n  escalate. Keep Haiku replies concise.\nauthor: \"小安 Ann Agent — Taiwan 台灣\"\nhomepage: https:\u002F\u002Fgithub.com\u002Fpeterann\u002Fsave-money\nmetadata:\n  clawdbot:\n    emoji: \"?\"\n---\n\n# Save Money\n\nRun on **Haiku** by default. Only spawn **Sonnet** when the task actually needs it. Save **50%+** on API costs.\n\n## CRITICAL: Classify First, Then Act\n\nBefore generating ANY response, you MUST:\n\n1. Check: does this task match ANY escalation trigger below?\n2. If YES → call `sessions_spawn()` IMMEDIATELY. Do NOT attempt to answer yourself.\n3. If NO → respond directly on the current model.\n\nWhen in doubt, escalate. A wrong escalation only costs a few cents. A bad answer on Haiku wastes the user's time.\n\n## Rule of Thumb\n\n> If a human would need more than 30 seconds of focused thinking, escalate.\n>\n> 如果一個人需要超過 30 秒的專注思考才能完成，就升級模型。\n\n## When to Escalate → MUST call sessions_spawn\n\nIf the task matches ANY of the following, do NOT answer yourself.\nInstead, IMMEDIATELY call:\n\n```\nsessions_spawn(\n  message: \"\u003Cthe full task description>\",\n  model: \"anthropic\u002Fclaude-sonnet-4-20250514\",\n  label: \"\u003Cshort task label>\"\n)\n```\n\n### Escalation triggers\n\n- **Analysis & evaluation** — compare options, assess trade-offs, review documents\n- **Planning & strategy** — project plans, roadmaps, business models, architecture\n- **Long-form writing** — reports, proposals, articles, presentations, emails > 3 paragraphs\n- **Code generation** — write functions, build features, refactor, debug complex issues\n- **Multi-step reasoning** — anything with \"first... then... finally\" or numbered steps\n- **Summarize large content** — long documents, full articles, meeting transcripts\n- **Long translation** — paragraphs or full documents (not single sentences)\n- **Creative writing** — copywriting, ad scripts, naming with brand constraints\n- **Structured output** — tables, outlines, formatted documents, comparison charts\n\n### By how people actually ask\n\n| Language | Escalate — real examples |\n|----------|--------------------------|\n| English | \"Can you analyze this for me?\", \"Write me a report on...\", \"Help me plan...\", \"What are the pros and cons?\", \"Build a script that...\", \"Compare A vs B\", \"Step by step, how do I...\", \"Draft a proposal for...\" |\n| 繁體中文 | \"欸幫我看一下這個報告\", \"幫我想一下怎麼回客戶\", \"這兩個方案哪個比較好\", \"寫一封信給老闆\", \"幫我整理一下這份資料\", \"我該怎麼處理這個問題\", \"可以幫我寫一個程式嗎\", \"幫我規劃一下行程\", \"有什麼辦法可以改善\", \"這個東西要怎麼設計比較好\" |\n| 日本語 | \"これを分析してもらえますか\", \"レポートを書いてください\", \"計画を立ててほしい\", \"AとBを比較して\", \"コードを書いてほしい\", \"この資料をまとめて\", \"提案書を作って\", \"どうすればいいか考えて\" |\n| 한국어 | \"이거 분석해줘\", \"보고서 작성해줘\", \"계획 세워줘\", \"A랑 B 비교해줘\", \"코드 짜줘\", \"이 자료 정리해줘\", \"제안서 만들어줘\", \"어떻게 하면 좋을까?\" |\n| Deutsch | \"Kannst du das analysieren?\", \"Schreib mir einen Bericht\", \"Hilf mir das zu planen\", \"Vergleich A mit B\", \"Schreib ein Skript für...\", \"Fass das zusammen\", \"Wie soll ich das lösen?\", \"Erstell einen Entwurf\" |\n\n### By complexity signals\n\n- Prompt is longer than 200 characters with specific requirements\n- Contains multiple conditions or constraints\n- Asks for structured output (tables, outlines, formatted documents)\n- Professional context: proposal, presentation, resume, contract\n\n## NEVER do this on Haiku\n\n- NEVER write a comparison table yourself — escalate\n- NEVER write code longer than 10 lines yourself — escalate\n- NEVER write more than 3 paragraphs yourself — escalate\n- NEVER do multi-step analysis yourself — escalate\n- NEVER write a report or proposal yourself — escalate\n- NEVER attempt complex reasoning chains yourself — escalate\n\nIf you catch yourself writing a long response for a complex task, STOP and call `sessions_spawn` instead.\n\n## When to Stay on Haiku\n\n- **Factual Q&A** — \"what is X\", \"who is Y\", \"when did Z happen\"\n- **Quick lookups** — definitions, short translations (single sentences), unit conversions\n- **Memory & reminders** — \"remember this\", \"remind me to...\"\n- **Casual conversation** — greetings, small talk, jokes\n- **Status checks** — \"what's on my calendar\", simple file reads\n- **One-liner tasks** — anything answerable in 1-2 sentences\n\n| Language | Stay — real examples |\n|----------|----------------------|\n| English | \"What's the weather?\", \"Remind me at 3pm\", \"What does OKR mean?\", \"Translate: thank you\", \"Hey what's up\" |\n| 繁體中文 | \"今天天氣怎樣\", \"幫我記一下明天要開會\", \"這個字什麼意思\", \"現在幾點\", \"嗨\", \"謝謝\", \"OK\", \"查一下匯率\", \"翻譯一下 thank you\" |\n| 日本語 | \"天気は？\", \"意味を教えて\", \"これ何？\", \"おはよう\", \"リマインドして\", \"ありがとう\" |\n| 한국어 | \"날씨 어때?\", \"뜻이 뭐야?\", \"이게 뭐야?\", \"안녕\", \"알림 설정해줘\", \"고마워\" |\n| Deutsch | \"Wie ist das Wetter?\", \"Was bedeutet das?\", \"Was ist das?\", \"Hallo\", \"Erinner mich um 3\", \"Danke\" |\n\n## Save even more: keep responses short\n\nWhen on Haiku, keep replies concise. Fewer output tokens = lower cost.\n\n- Simple question → 1-2 sentence answer, don't over-explain\n- Lookup → give the answer, skip the preamble\n- Greeting → short and warm, no essays\n\n## Save even more: de-escalate\n\nIf a conversation was escalated to Sonnet but the follow-up is simple, **switch back to Haiku**.\n\n- User: \"幫我分析這份報告\" → Sonnet ✓\n- User: \"好，那就用第一個方案\" → back to Haiku ✓\n- User: \"幫我記住這個結論\" → Haiku ✓\n\nDon't stay on the expensive model just because the conversation started there.\n\nReturn the result directly. Do NOT mention the model switch unless the user asks.\n\n## Other providers\n\nThis skill is written for Claude (Haiku + Sonnet). Swap model names for other providers:\n\n| Role | Claude | OpenAI | Google |\n|------|--------|--------|--------|\n| Cheap (default) | `claude-3-5-haiku` | `gpt-4o-mini` | `gemini-flash` |\n| Strong (escalate) | `claude-sonnet-4` | `gpt-4o` | `gemini-pro` |\n\n---\n\n## Why the description field is so long\n\nThe Clawdbot skill system only injects the frontmatter `description` field\ninto the system prompt — the body of SKILL.md is **not** automatically\nincluded. The model may optionally `read` the full file, but it is not\nguaranteed. Because this is a **behavioral skill** (changing how the model\nroutes every message) rather than a tool skill (teaching CLI commands), the\ncore routing logic must live in the description so the model always sees it.\n\nThe body above serves as extended documentation: detailed trigger lists,\nmultilingual examples, and usage tips that the model can reference if it\nreads the file.\n\n**TL;DR:** `description` = what the model always sees. `body` = reference docs.\n\n---\n\n*小安 Ann Agent — Taiwan 台灣*\n*Building skills and local MCP services for all AI agents, everywhere.*\n*為所有 AI Agent 打造技能與在地 MCP 服務，不限平台。*\n","# Save Money\n\nRun on **Haiku** by default. Only spawn **Sonnet** when the task actually needs it. Save **50%+** on API costs.\n\n## CRITICAL: Classify First, Then Act\n\nBefore generating ANY response, you MUST:\n\n1. Check: does this task match ANY escalation trigger below?\n2. If YES → call `sessions_spawn()` IMMEDIATELY. Do NOT attempt to answer yourself.\n3. If NO → respond directly on the current model.\n\nWhen in doubt, escalate. A wrong escalation only costs a few cents. A bad answer on Haiku wastes the user's time.\n\n## Rule of Thumb\n\n> If a human would need more than 30 seconds of focused thinking, escalate.\n>\n> 如果一個人需要超過 30 秒的專注思考才能完成，就升級模型。\n\n## When to Escalate → MUST call sessions_spawn\n\nIf the task matches ANY of the following, do NOT answer yourself.\nInstead, IMMEDIATELY call:\n\n```\nsessions_spawn(\n  message: \"\u003Cthe full task description>\",\n  model: \"anthropic\u002Fclaude-sonnet-4-20250514\",\n  label: \"\u003Cshort task label>\"\n)\n```\n\n### Escalation triggers\n\n- **Analysis & evaluation** — compare options, assess trade-offs, review documents\n- **Planning & strategy** — project plans, roadmaps, business models, architecture\n- **Long-form writing** — reports, proposals, articles, presentations, emails > 3 paragraphs\n- **Code generation** — write functions, build features, refactor, debug complex issues\n- **Multi-step reasoning** — anything with \"first... then... finally\" or numbered steps\n- **Summarize large content** — long documents, full articles, meeting transcripts\n- **Long translation** — paragraphs or full documents (not single sentences)\n- **Creative writing** — copywriting, ad scripts, naming with brand constraints\n- **Structured output** — tables, outlines, formatted documents, comparison charts\n\n### By how people actually ask\n\n| Language | Escalate — real examples |\n|----------|--------------------------|\n| English | \"Can you analyze this for me?\", \"Write me a report on...\", \"Help me plan...\", \"What are the pros and cons?\", \"Build a script that...\", \"Compare A vs B\", \"Step by step, how do I...\", \"Draft a proposal for...\" |\n| 繁體中文 | \"欸幫我看一下這個報告\", \"幫我想一下怎麼回客戶\", \"這兩個方案哪個比較好\", \"寫一封信給老闆\", \"幫我整理一下這份資料\", \"我該怎麼處理這個問題\", \"可以幫我寫一個程式嗎\", \"幫我規劃一下行程\", \"有什麼辦法可以改善\", \"這個東西要怎麼設計比較好\" |\n| 日本語 | \"これを分析してもらえますか\", \"レポートを書いてください\", \"計画を立ててほしい\", \"AとBを比較して\", \"コードを書いてほしい\", \"この資料をまとめて\", \"提案書を作って\", \"どうすればいいか考えて\" |\n| 한국어 | \"이거 분석해줘\", \"보고서 작성해줘\", \"계획 세워줘\", \"A랑 B 비교해줘\", \"코드 짜줘\", \"이 자료 정리해줘\", \"제안서 만들어줘\", \"어떻게 하면 좋을까?\" |\n| Deutsch | \"Kannst du das analysieren?\", \"Schreib mir einen Bericht\", \"Hilf mir das zu planen\", \"Vergleich A mit B\", \"Schreib ein Skript für...\", \"Fass das zusammen\", \"Wie soll ich das lösen?\", \"Erstell einen Entwurf\" |\n\n### By complexity signals\n\n- Prompt is longer than 200 characters with specific requirements\n- Contains multiple conditions or constraints\n- Asks for structured output (tables, outlines, formatted documents)\n- Professional context: proposal, presentation, resume, contract\n\n## NEVER do this on Haiku\n\n- NEVER write a comparison table yourself — escalate\n- NEVER write code longer than 10 lines yourself — escalate\n- NEVER write more than 3 paragraphs yourself — escalate\n- NEVER do multi-step analysis yourself — escalate\n- NEVER write a report or proposal yourself — escalate\n- NEVER attempt complex reasoning chains yourself — escalate\n\nIf you catch yourself writing a long response for a complex task, STOP and call `sessions_spawn` instead.\n\n## When to Stay on Haiku\n\n- **Factual Q&A** — \"what is X\", \"who is Y\", \"when did Z happen\"\n- **Quick lookups** — definitions, short translations (single sentences), unit conversions\n- **Memory & reminders** — \"remember this\", \"remind me to...\"\n- **Casual conversation** — greetings, small talk, jokes\n- **Status checks** — \"what's on my calendar\", simple file reads\n- **One-liner tasks** — anything answerable in 1-2 sentences\n\n| Language | Stay — real examples |\n|----------|----------------------|\n| English | \"What's the weather?\", \"Remind me at 3pm\", \"What does OKR mean?\", \"Translate: thank you\", \"Hey what's up\" |\n| 繁體中文 | \"今天天氣怎樣\", \"幫我記一下明天要開會\", \"這個字什麼意思\", \"現在幾點\", \"嗨\", \"謝謝\", \"OK\", \"查一下匯率\", \"翻譯一下 thank you\" |\n| 日本語 | \"天気は？\", \"意味を教えて\", \"これ何？\", \"おはよう\", \"リマインドして\", \"ありがとう\" |\n| 한국어 | \"날씨 어때?\", \"뜻이 뭐야?\", \"이게 뭐야?\", \"안녕\", \"알림 설정해줘\", \"고마워\" |\n| Deutsch | \"Wie ist das Wetter?\", \"Was bedeutet das?\", \"Was ist das?\", \"Hallo\", \"Erinner mich um 3\", \"Danke\" |\n\n## Save even more: keep responses short\n\nWhen on Haiku, keep replies concise. Fewer output tokens = lower cost.\n\n- Simple question → 1-2 sentence answer, don't over-explain\n- Lookup → give the answer, skip the preamble\n- Greeting → short and warm, no essays\n\n## Save even more: de-escalate\n\nIf a conversation was escalated to Sonnet but the follow-up is simple, **switch back to Haiku**.\n\n- User: \"幫我分析這份報告\" → Sonnet ✓\n- User: \"好，那就用第一個方案\" → back to Haiku ✓\n- User: \"幫我記住這個結論\" → Haiku ✓\n\nDon't stay on the expensive model just because the conversation started there.\n\nReturn the result directly. Do NOT mention the model switch unless the user asks.\n\n## Other providers\n\nThis skill is written for Claude (Haiku + Sonnet). Swap model names for other providers:\n\n| Role | Claude | OpenAI | Google |\n|------|--------|--------|--------|\n| Cheap (default) | `claude-3-5-haiku` | `gpt-4o-mini` | `gemini-flash` |\n| Strong (escalate) | `claude-sonnet-4` | `gpt-4o` | `gemini-pro` |\n\n---\n\n## Why the description field is so long\n\nThe Clawdbot skill system only injects the frontmatter `description` field\ninto the system prompt — the body of SKILL.md is **not** automatically\nincluded. The model may optionally `read` the full file, but it is not\nguaranteed. Because this is a **behavioral skill** (changing how the model\nroutes every message) rather than a tool skill (teaching CLI commands), the\ncore routing logic must live in the description so the model always sees it.\n\nThe body above serves as extended documentation: detailed trigger lists,\nmultilingual examples, and usage tips that the model can reference if it\nreads the file.\n\n**TL;DR:** `description` = what the model always sees. `body` = reference docs.\n\n---\n\n*小安 Ann Agent — Taiwan 台灣*\n*Building skills and local MCP services for all AI agents, everywhere.*\n*為所有 AI Agent 打造技能與在地 MCP 服務，不限平台。*\n",{"name":5,"author":43,"homepage":44,"metadata":45,"description":7},"小安 Ann Agent — Taiwan 台灣","https:\u002F\u002Fgithub.com\u002Fpeterann\u002Fsave-money",{"clawdbot":46},{"emoji":47},"?","main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Fpeterokase42\u002Fsave-money",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":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add kbarbel640-del\u002Fskills --skill save-money",{"tool":61,"command":62},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill save-money",{"tool":64,"command":65},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill save-money","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fpeterokase42\u002Fsave-money\u002FSKILL.md",true,[69],{"path":70,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":73,"sourceHtmlUrl":74},"_meta.json","REFERENCE","参考文档",984,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fpeterokase42\u002Fsave-money\u002F_meta.json",[76,106,135,156,162,182],{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":80,"categories":81,"keywords":87,"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",[82],{"categoryNo":83,"categoryName":84,"taxonomyType":85,"taxonomyTypeDesc":86},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[88,89,32,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105],"crowd prompting","prompting","with","tokens","domain","world","prompts","operations","instructions","text","tool","system","improve","productivity","marketplace","https","content","ai agents",{"skillNo":107,"name":108,"nameZh":6,"description":109,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":110,"categories":111,"keywords":117,"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",[112],{"categoryNo":113,"categoryName":114,"taxonomyType":115,"taxonomyTypeDesc":116},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[118,32,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,94,134],"dilemm ai","arena","analyze","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking","use",{"skillNo":136,"name":137,"nameZh":6,"description":138,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":139,"categories":140,"keywords":144,"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",[141],{"categoryNo":142,"categoryName":143,"taxonomyType":115,"taxonomyTypeDesc":116},"01JBSEEDCAT000000000000021","资料检索与研究",[145,146,147,148,149,150,151,90,152,132,134,153,32,154,155],"arxiv paper reviews","reviews","arxiv","paper","crawler","papers","comments","fetch","read","http","via",{"skillNo":157,"name":137,"nameZh":6,"description":138,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":158,"categories":159,"keywords":161,"publishedAt":38},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[160],{"categoryNo":142,"categoryName":143,"taxonomyType":115,"taxonomyTypeDesc":116},[148,147,146,145,155,150,151,90,149,132,134,152,153,32,154],{"skillNo":163,"name":164,"nameZh":6,"description":165,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":166,"categories":167,"keywords":168,"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",[],[169,170,171,172,173,174,175,176,177,178,179,180,181],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":192,"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",[188,189],{"categoryNo":113,"categoryName":114,"taxonomyType":115,"taxonomyTypeDesc":116},{"categoryNo":190,"categoryName":191,"taxonomyType":85,"taxonomyTypeDesc":86},"01JBSEEDCAT000000000000037","律师与法务",[193,194,195,196,90,197,198,48,199,153,200,201,202,203,204,103,205,206,207],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]