[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ESVR9R41NSBQBA28MRWKRC":3,"skill-same:01M6ESVR9R41NSBQBA28MRWKRC":73},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":52,"repositoryHtmlUrl":53,"repositoryHomepageUrl":54,"ownerHtmlUrl":55,"ownerBlogUrl":56,"ownerDescription":57,"updatedAt":58,"install":59,"resources":72},"01M6ESVR9R41NSBQBA28MRWKRC","aeon-deep-research",null,"Exhaustive multi-source research on a topic with attributed claims, a mandatory adversarial\ncounterpoint, and an open-questions list. Analyst-grade — claims are tagged with source class\n(primary \u002F expert \u002F secondary \u002F market signal) and confidence, contradicting sources are named\nrather than averaged. Use when the cost of being wrong exceeds an hour of research.\nTriggers: \"deep research X\", \"DD on Y\", \"build me a memo on Z\", \"contrarian take on X\".","Eskyee\u002Fagentbot-opensource","Eskyee","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F30862925?v=4","01M6ESSG1VB0FYP310V08SY08K","Esky33","01M6ESSG5ZR55BV28APEN3Y2P6",17,"MIT","https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource\u002Fblob\u002Fmain\u002Fskills\u002Faeon-deep-research\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"deep research","aeon deep research","deep","research","aeon","analyst","questions","with","multi","sources","triggers","memo","open","me","build","expert","Market","take","cost","use","2026-11-10 10:12:30",false,"---\nname: aeon-deep-research\ndescription: |\n  Exhaustive multi-source research on a topic with attributed claims, a mandatory adversarial\n  counterpoint, and an open-questions list. Analyst-grade — claims are tagged with source class\n  (primary \u002F expert \u002F secondary \u002F market signal) and confidence, contradicting sources are named\n  rather than averaged. Use when the cost of being wrong exceeds an hour of research.\n  Triggers: \"deep research X\", \"DD on Y\", \"build me a memo on Z\", \"contrarian take on X\".\n---\n\n# aeon-deep-research\n\nFor when a one-line summary won't cut it. Pulls from primary sources first (filings, contracts, official docs), expert sources second (named researchers, audit reports), secondary third (media, newsletters), market signal last (price action, prediction markets) — and tags every claim with its source class.\n\n## Inputs\n\n| Param | Description |\n|---|---|\n| `topic` | Plain-English topic. Required. |\n| `mode` | `research` (default), `brief` (top 5 findings only), `contrarian` (bias toward dissent). |\n\n## Output structure\n\n1. **Thesis** — one paragraph.\n2. **Findings** — bullets, each tagged `[primary]` \u002F `[expert]` \u002F `[secondary]` \u002F `[market]` and `[established]` \u002F `[likely]` \u002F `[contested]`.\n3. **Adversarial section** — the sharpest counter-argument, sourced. Mandatory. If the consensus is genuinely right, explain why the dissent is weak.\n4. **Open questions** — what would change the conclusion, and what data would resolve it.\n5. **Sources** — deduplicated, primary first.\n\n## Rules\n\n- Contradicting sources are named, not averaged. \"Source A says X; source B says not-X; reconciliation: ...\"\n- Linked-tweet-citing-thread-citing-press-release is not Primary.\n- Adversarial section is mandatory. No skip on quiet days.\n- Open questions force honesty about what isn't known.\n","# aeon-deep-research\n\nFor when a one-line summary won't cut it. Pulls from primary sources first (filings, contracts, official docs), expert sources second (named researchers, audit reports), secondary third (media, newsletters), market signal last (price action, prediction markets) — and tags every claim with its source class.\n\n## Inputs\n\n| Param | Description |\n|---|---|\n| `topic` | Plain-English topic. Required. |\n| `mode` | `research` (default), `brief` (top 5 findings only), `contrarian` (bias toward dissent). |\n\n## Output structure\n\n1. **Thesis** — one paragraph.\n2. **Findings** — bullets, each tagged `[primary]` \u002F `[expert]` \u002F `[secondary]` \u002F `[market]` and `[established]` \u002F `[likely]` \u002F `[contested]`.\n3. **Adversarial section** — the sharpest counter-argument, sourced. Mandatory. If the consensus is genuinely right, explain why the dissent is weak.\n4. **Open questions** — what would change the conclusion, and what data would resolve it.\n5. **Sources** — deduplicated, primary first.\n\n## Rules\n\n- Contradicting sources are named, not averaged. \"Source A says X; source B says not-X; reconciliation: ...\"\n- Linked-tweet-citing-thread-citing-press-release is not Primary.\n- Adversarial section is mandatory. No skip on quiet days.\n- Open questions force honesty about what isn't known.\n",{"name":5,"description":7},"main","82fb6583c8457bf1cbf87293c95642f184e9dbaf","skills\u002Faeon-deep-research",2,"https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource","https:\u002F\u002Fagentbot-studio.vercel.app","https:\u002F\u002Fgithub.com\u002FEskyee","https:\u002F\u002Fagentbot.sh","London-based indie founder. \r\nCreator of Agentbot.sh - BaseFM.space","2026-11-05 10:56:50",{"source":8,"skillName":5,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add Eskyee\u002Fagentbot-opensource --skill aeon-deep-research",{"tool":65,"command":66},"bunx","bunx skills add Eskyee\u002Fagentbot-opensource --skill aeon-deep-research",{"tool":68,"command":69},"pnpm","pnpm dlx skills add Eskyee\u002Fagentbot-opensource --skill aeon-deep-research","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource\u002Fblob\u002Fmain\u002Fskills\u002Faeon-deep-research\u002FSKILL.md",true,[],[74,85,120,141,166,174],{"skillNo":75,"name":76,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":77,"categories":78,"keywords":82,"publishedAt":44},"01M6ET5WZACASAB0WXF3RWEA00","provisioning-v1","https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource\u002Fblob\u002Fmain\u002Fweb\u002Fskills\u002Fprovisioning-v1\u002FSKILL.md",[79],{"categoryNo":80,"categoryName":81,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[83,84],"provisioning v1","provisioning",{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":89,"categories":90,"keywords":99,"publishedAt":44},"01M6ET5R7WW7NHX7BBH6RR41SH","get-api-docs","Use this skill when you need documentation for a third-party library, SDK, or API before writing code that uses it — for example, \"use the OpenAI API\", \"call the Stripe API\", \"use the Anthropic SDK\", \"query Pinecone\", or any time the user asks you to write code against an external service and you need current API reference. Fetch the docs with chub before answering, rather than relying on training knowledge.","https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource\u002Fblob\u002Fmain\u002Fweb\u002Fskills\u002Fget-api-docs\u002FSKILL.md",[91,94],{"categoryNo":92,"categoryName":93,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":95,"categoryName":96,"taxonomyType":97,"taxonomyTypeDesc":98},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119],"docs","api","get api docs","get","writing","documentation","training","code","openai","openai api","library","knowledge","write","fetch","example","pinecone","stripe","query","time","anthropic sdk",{"skillNo":121,"name":122,"nameZh":6,"description":123,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":126,"publishedAt":44},"01M6ET5MHC01R668JHR5N0HGA1","zyfai","Earn yield on any Ethereum wallet on Base, Arbitrum, and Plasma. Use when a user wants passive DeFi yield on their funds. Deploys a non-custodial deterministic subaccount (Safe) linked to their EOA, enables automated yield optimization, and lets them deposit\u002Fwithdraw anytime.","https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource\u002Fblob\u002Fmain\u002Fskills\u002Fzyfai\u002FSKILL.md",[],[122,127,128,129,130,131,132,133,134,135,136,137,43,138,139,140],"passive","non-custodial","arbitrum","yield","withdraw","Optimization","deposit","defi","deterministic","base","Wallet","user","safe","ethereum",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":148,"publishedAt":44},"01M6ET5FA594JNMY39RN003ANW","zerion","Interpreted crypto wallet data for AI agents. Use when an agent needs portfolio values, token positions, DeFi positions, NFT holdings, transaction history, PnL data, token prices, charts, gas prices, swap quotes, or DApp information across 41+ chains. Zerion transforms raw blockchain data into agent-ready JSON with USD values, protocol labels, and enriched metadata. Supports x402 pay-per-request ($0.01 USDC on Base) and API key access. Triggers on mentions of portfolio, wallet analysis, positions, transactions, PnL, profit\u002Floss, DeFi, token balances, NFTs, swap quotes, gas prices, or Zerion.","https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource\u002Fblob\u002Fmain\u002Fskills\u002Fzerion\u002FSKILL.md",[147],{"categoryNo":92,"categoryName":93,"taxonomyType":21,"taxonomyTypeDesc":22},[143,149,150,151,152,153,154,155,156,157,158,159,137,160,161,162,163,164,165,101],"information","data","ai agents","analysis","x402","transforms","nfts","token","nft","across","usd","ready","portfolio","gas","access","transactions","Charts",{"skillNo":167,"name":168,"nameZh":6,"description":169,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":170,"categories":171,"keywords":172,"publishedAt":44},"01M6ET5C758AY90H4E0AWAJ9JR","zapper","Placeholder for Zapper skill.","https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource\u002Fblob\u002Fmain\u002Fskills\u002Fzapper\u002FSKILL.md",[],[168,173],"placeholder",{"skillNo":175,"name":176,"nameZh":6,"description":177,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":178,"categories":179,"keywords":180,"publishedAt":44},"01M6ET5965RAA4BZNSWEVK3MGW","yoink","Play Yoink, an onchain capture-the-flag game on Base. Yoink the flag from the current holder, check game stats and leaderboards, view player scores, and compete for the trophy. Uses Bankr for transaction execution.","https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource\u002Fblob\u002Fmain\u002Fskills\u002Fyoink\u002FSKILL.md",[],[176,181,182,183,184,185,136,186,187,188,189,190,191,192,193,194,195],"view","org","compete","transaction","bankr","onchain","check","capture","jq","curl","game","execution","stats","https","play"]