[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6X8T7MB9CMW9Y7MSDVNFMF4":3,"skill-same:01M6X8T7MB9CMW9Y7MSDVNFMF4":81},{"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":31,"publishedAt":52,"linkOnly":53,"markdownContent":54,"markdownBody":55,"frontMatter":56,"refName":58,"commitSha":59,"skillDirectory":60,"forksCount":61,"repositoryHtmlUrl":62,"repositoryHomepageUrl":6,"ownerHtmlUrl":63,"ownerBlogUrl":64,"ownerDescription":65,"updatedAt":66,"install":67,"resources":80},"01M6X8T7MB9CMW9Y7MSDVNFMF4","Bankr Agent - Market Research",null,"This skill should be used when the user asks about \"token price\", \"market data\", \"technical analysis\", \"sentiment\", \"trending tokens\", \"price chart\", \"market cap\", \"token research\", \"what's the price of\", \"analyze token\", or any market research query. Provides guidance on token research, analysis, and market intelligence.","enuno\u002Fcrewless-capital","enuno","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6727752?v=4","01M6J09HF6Y74150F7PEMC446X","Elvis Nuno","01M6X86WGZG9RH09ACTSTJ2383",1,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fenuno\u002Fcrewless-capital\u002Fblob\u002Fmain\u002Fmigrate-hyperliquid-firm\u002Fskills\u002Fbankr-skills\u002Fbankr-agent-market-research\u002FSKILL.md",[18,23,26],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51],"Bankr Agent   Market Research","market research","bankr agent","Market","agent market","bankr","research","market intelligence","when","market data","token research","trending","chart","tokens","query","cap","technical","analyze","analysis","sentiment","2026-11-10 10:12:30",false,"---\nname: Bankr Agent - Market Research\ndescription: This skill should be used when the user asks about \"token price\", \"market data\", \"technical analysis\", \"sentiment\", \"trending tokens\", \"price chart\", \"market cap\", \"token research\", \"what's the price of\", \"analyze token\", or any market research query. Provides guidance on token research, analysis, and market intelligence.\nversion: 1.0.0\n---\n\n# Bankr Market Research\n\nResearch tokens and analyze market data.\n\n## Capabilities\n\n- Token search across chains\n- Price and market data\n- Technical analysis\n- Social sentiment\n- Price charts\n- Trending tokens\n\n## Prompt Examples\n\n**Price queries:**\n- \"What's the price of ETH?\"\n- \"How much is Bitcoin worth?\"\n\n**Market data:**\n- \"Show me ETH market data\"\n- \"What's the market cap of BNKR?\"\n\n**Technical analysis:**\n- \"Do technical analysis on ETH\"\n- \"Show RSI for Bitcoin\"\n- \"Is ETH overbought?\"\n\n**Sentiment:**\n- \"What's the sentiment on ETH?\"\n- \"Is the community bullish on SOL?\"\n\n**Charts:**\n- \"Show me ETH price chart\"\n- \"Generate BTC chart for last week\"\n\n**Discovery:**\n- \"What tokens are trending?\"\n- \"Show top gainers today\"\n- \"Compare ETH vs SOL\"\n\n## Data Available\n\n### Price Data\n- Current USD price\n- 24h \u002F 7d change\n- All-time high\u002Flow\n\n### Market Metrics\n- Market cap\n- 24h volume\n- Circulating\u002Ftotal supply\n- Number of holders\n\n### Technical Indicators\n- RSI (Relative Strength Index)\n- MACD\n- Moving averages (50, 200)\n- Support\u002Fresistance levels\n\n## Supported Chains\n\nToken research works across Base, Polygon, Ethereum, Solana, and Unichain.\n\n## Token Search\n\nFind tokens by name or symbol:\n- \"Search for BNKR token\"\n- \"Find tokens called Bankr\"\n- \"What is the contract for PEPE on Base?\"\n\n## Limitations\n\n- Historical data limited to available timeframes\n- Sentiment based on available social data\n- New tokens may have limited data\n- Not investment advice\n","# Bankr Market Research\n\nResearch tokens and analyze market data.\n\n## Capabilities\n\n- Token search across chains\n- Price and market data\n- Technical analysis\n- Social sentiment\n- Price charts\n- Trending tokens\n\n## Prompt Examples\n\n**Price queries:**\n- \"What's the price of ETH?\"\n- \"How much is Bitcoin worth?\"\n\n**Market data:**\n- \"Show me ETH market data\"\n- \"What's the market cap of BNKR?\"\n\n**Technical analysis:**\n- \"Do technical analysis on ETH\"\n- \"Show RSI for Bitcoin\"\n- \"Is ETH overbought?\"\n\n**Sentiment:**\n- \"What's the sentiment on ETH?\"\n- \"Is the community bullish on SOL?\"\n\n**Charts:**\n- \"Show me ETH price chart\"\n- \"Generate BTC chart for last week\"\n\n**Discovery:**\n- \"What tokens are trending?\"\n- \"Show top gainers today\"\n- \"Compare ETH vs SOL\"\n\n## Data Available\n\n### Price Data\n- Current USD price\n- 24h \u002F 7d change\n- All-time high\u002Flow\n\n### Market Metrics\n- Market cap\n- 24h volume\n- Circulating\u002Ftotal supply\n- Number of holders\n\n### Technical Indicators\n- RSI (Relative Strength Index)\n- MACD\n- Moving averages (50, 200)\n- Support\u002Fresistance levels\n\n## Supported Chains\n\nToken research works across Base, Polygon, Ethereum, Solana, and Unichain.\n\n## Token Search\n\nFind tokens by name or symbol:\n- \"Search for BNKR token\"\n- \"Find tokens called Bankr\"\n- \"What is the contract for PEPE on Base?\"\n\n## Limitations\n\n- Historical data limited to available timeframes\n- Sentiment based on available social data\n- New tokens may have limited data\n- Not investment advice\n",{"name":5,"version":57,"description":7},"1.0.0","main","bfe4e4653cba696a8dc20f70c6006651b997fdef","migrate-hyperliquid-firm\u002Fskills\u002Fbankr-skills\u002Fbankr-agent-market-research",0,"https:\u002F\u002Fgithub.com\u002Fenuno\u002Fcrewless-capital","https:\u002F\u002Fgithub.com\u002Fenuno","https:\u002F\u002Fenuno.github.io\u002FDynamicCareerCanvas","Digital Nomad, Blockchain Evangel, and Digital Solutions Architect. \r\nCreator of TerraHash Stack.\r\nCEO of Ryno Crypto Mining Services.","2026-07-02 10:49:15",{"source":8,"skillName":5,"commands":68,"prompt":78,"zipAvailable":79},[69,72,75],{"tool":70,"command":71},"npx","npx skills add enuno\u002Fcrewless-capital --skill \"Bankr Agent - Market Research\"",{"tool":73,"command":74},"bunx","bunx skills add enuno\u002Fcrewless-capital --skill \"Bankr Agent - Market Research\"",{"tool":76,"command":77},"pnpm","pnpm dlx skills add enuno\u002Fcrewless-capital --skill \"Bankr Agent - Market Research\"","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fenuno\u002Fcrewless-capital\u002Fblob\u002Fmain\u002Fmigrate-hyperliquid-firm\u002Fskills\u002Fbankr-skills\u002Fbankr-agent-market-research\u002FSKILL.md",true,[],[82,110,137,160,183,205],{"skillNo":83,"name":84,"nameZh":6,"description":85,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":86,"categories":87,"keywords":91,"publishedAt":52},"01M6X94YFR1XNANZ321FS661NG","supermemory","Supermemory is a state-of-the-art memory and context infrastructure for AI agents. Use this skill when building applications that need persistent memory, user personalization, long-term context retention, or semantic search across knowledge bases. It provides Memory API for learned user context, User Profiles for static\u002Fdynamic facts, and RAG for semantic search. Perfect for chatbots, assistants, and knowledge-intensive applications.","https:\u002F\u002Fgithub.com\u002Fenuno\u002Fcrewless-capital\u002Fblob\u002Fmain\u002Fmigrate-hyperliquid-firm\u002Fskills\u002Fsupermemory\u002FSKILL.md",[88],{"categoryNo":89,"categoryName":90,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",[84,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,40],"ai agents","memory","rag","semantic search","infrastructure","search","applications","api","knowledge","context","Art","personalization","across","learned","retention","for","persistent memory","static",{"skillNo":111,"name":112,"nameZh":6,"description":113,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":114,"licenseFileUrl":6,"sourceHtmlUrl":115,"categories":116,"keywords":117,"publishedAt":52},"01M6X94S3K97CSK7VFF5H85ED2","wolverine-strategy","WOLVERINE v2.0 — HYPE alpha hunter. Entry-only scanner, DSL-exit-only architecture. v1.1 lost -22.7% because the scanner's thesis exit chopped 25\u002F27 trades before DSL could manage them. v2.0 removes thesis exit entirely. Scanner decides entries (score 8+, 4H\u002F1H aligned, SM consensus). DSL manages all exits (wide Phase 1 for HYPE volatility, trailing tiers starting at +15% ROE). Leverage lowered to 7x. Max 4 entries\u002Fday. 3-hour cooldown between entries. DSL exit managed by plugin runtime via runtime.yaml.","MIT","https:\u002F\u002Fgithub.com\u002Fenuno\u002Fcrewless-capital\u002Fblob\u002Fmain\u002Fmigrate-hyperliquid-firm\u002Fskills\u002Fsenpi-skills\u002Fwolverine\u002FSKILL.md",[],[118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,107,134,135,136],"strategy","wolverine strategy","architecture","alpha","Volatility","consensus","only","trading","scanner","manage","max","hyperliquid","runtime","leverage","hunter","at","managed","dsl","phase",{"skillNo":138,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":114,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":144,"publishedAt":52},"01M6X94HN3CHBM37GM2C84KT26","wolf-strategy","WOLF v6.3 — Fully autonomous multi-strategy trading for Hyperliquid perps via Senpi MCP. Manages multiple strategies simultaneously, each with independent wallets, budgets, slots, and DSL configs. 5+N cron architecture: 5 shared wolf crons (Emerging Movers 3min, SM Flip 5min, Watchdog 5min, Risk Guardian 5min, Health Check 10min) plus one DSL v5.2 cron per strategy (native Hyperliquid SL sync via dsl-dynamic-stop-loss skill v5.3.1). Same asset can be traded in different strategies simultaneously. Enter early on first jumps, not at confirmed peaks. Dynamic risk-based leverage per strategy. Requires Senpi MCP connection, python3, mcporter CLI, OpenClaw cron system, and dsl-dynamic-stop-loss skill (provides dsl-cli.py + dsl-v5.py).","https:\u002F\u002Fgithub.com\u002Fenuno\u002Fcrewless-capital\u002Fblob\u002Fmain\u002Fmigrate-hyperliquid-firm\u002Fskills\u002Fsenpi-skills\u002Fwolf-strategy\u002FSKILL.md",[143],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[118,145,146,147,120,148,149,150,151,152,153,154,155,131,156,157,133,158,159,107],"wolf strategy","MCP","openclaw","health","system","python3","check","health check","stop","strategies","shared","connection","wallets","stop-loss","hyperliquid perps",{"skillNo":161,"name":162,"nameZh":6,"description":163,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":114,"licenseFileUrl":6,"sourceHtmlUrl":164,"categories":165,"keywords":167,"publishedAt":52},"01M6X949FBGWWGY3YZ8N3WB3CP","wolf-howl","HOWL v2 — Hunt, Optimize, Win, Learn. Nightly self-improvement loop for the WOLF autonomous trading strategy. Runs once per day (via cron) to review all trades from the last 24 hours, compute win rates, analyze signal quality correlation, evaluate DSL tier performance, identify missed opportunities, and produce concrete improvement suggestions for the wolf-strategy skill. v2 adds fee drag ratio (FDR) analysis, holding period bucketing, LONG vs SHORT regime detection, rotation cost tracking, cumulative drift detection, and gross vs net profit factor separation. Use when setting up daily trade review automation, analyzing trading performance, or improving an autonomous trading strategy through data-driven feedback loops. Requires Senpi MCP connection, mcporter CLI, and OpenClaw cron system.","https:\u002F\u002Fgithub.com\u002Fenuno\u002Fcrewless-capital\u002Fblob\u002Fmain\u002Fmigrate-hyperliquid-firm\u002Fskills\u002Fsenpi-skills\u002Fwolf-howl\u002FSKILL.md",[166],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[168,146,169,170,171,50,172,49,173,174,175,176,177,178,179,180,181,135,182,40],"wolf howl","review","performance","learn","loop","short","autonomous","up","optimize","drift","self","factor","loops","profit","fdr",{"skillNo":184,"name":185,"nameZh":6,"description":186,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":187,"categories":188,"keywords":189,"publishedAt":52},"01M6X9437CQ55N5AYHCPF71JWG","whale-index","Auto-mirror top Discovery traders on Hyperliquid. Scans top 50 traders, scores on PnL rank (35%), win rate (25%), consistency (20%), hold time (10%), drawdown (10%). Creates 2-5 mirror strategies with overlap checks. Daily rebalance with 2-day watch period before swaps. Use when setting up trader mirroring, copy trading, or portfolio auto-rebalancing based on Discovery leaderboard performance.","https:\u002F\u002Fgithub.com\u002Fenuno\u002Fcrewless-capital\u002Fblob\u002Fmain\u002Fmigrate-hyperliquid-firm\u002Fskills\u002Fsenpi-skills\u002Fwhale-index\u002FSKILL.md",[],[190,191,192,170,193,194,195,196,197,175,198,199,154,200,201,202,203,107,204,40],"index","whale","whale index","auth","monitoring","discovery","use","auto","daily","time","with","consistency","top","mirror","pnl",{"skillNo":206,"name":207,"nameZh":6,"description":208,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":114,"licenseFileUrl":6,"sourceHtmlUrl":209,"categories":210,"keywords":211,"publishedAt":52},"01M6X93YTRGNPYNHZRTW9XNH1E","vixen-strategy","VIXEN v1.0 — Dual-mode emerging movers scanner. Built from FOX v1.6 live trading data (+34.5% ROI). Two entry modes: STALKER (steady accumulation, score 6+, catches the SM buildup BEFORE the explosion) and STRIKER (violent FIRST_JUMP, score 9+, with raw volume confirmation to filter blow-off tops). 2-hour per-asset cooldown after Phase 1 exits. DSL High Water Mode mandatory.","https:\u002F\u002Fgithub.com\u002Fenuno\u002Fcrewless-capital\u002Fblob\u002Fmain\u002Fmigrate-hyperliquid-firm\u002Fskills\u002Fsenpi-skills\u002Fvixen\u002FSKILL.md",[],[118,212,213,214,215,216,126,217,218,219,200,220,221,222,223,224,225,226,135,136],"vixen strategy","roi","data","first","confirmation","volume","filter","asset","explosion","mode","high","v1","modes","emerging movers","entry"]