[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6X8W2Z6S0DS1MBB5SWG640B":3,"skill-same:01M6X8W2Z6S0DS1MBB5SWG640B":72},{"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":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":52,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":55,"ownerDescription":56,"updatedAt":57,"install":58,"resources":71},"01M6X8W2Z6S0DS1MBB5SWG640B","Bankr Dev - Market Research",null,"This skill should be used when building market data displays, implementing price feeds, or adding technical analysis. Covers prices, market caps, technical analysis, sentiment, and trending tokens.","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-dev-market-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],"dev","Bankr Dev   Market Research","bankr","Market","market research","research","analysis","feeds","technical","data","sentiment","tokens","price","trending","technical analysis","prices","market data","implementing","when","2026-11-10 10:12:30",false,"---\nname: Bankr Dev - Market Research\ndescription: This skill should be used when building market data displays, implementing price feeds, or adding technical analysis. Covers prices, market caps, technical analysis, sentiment, and trending tokens.\nversion: 1.0.0\n---\n\n# Market Research Capability\n\nQuery market data and analysis via natural language prompts.\n\n## What You Can Do\n\n| Operation | Example Prompt |\n|-----------|----------------|\n| Token price | `What's the price of ETH?` |\n| Market data | `Show me BTC market data` |\n| Market cap | `What's the market cap of SOL?` |\n| 24h volume | `What's the 24h volume for ETH?` |\n| Holder count | `How many holders does BNKR have?` |\n| Technical analysis | `Do technical analysis on BTC` |\n| RSI | `What's the RSI for ETH?` |\n| Price action | `Analyze SOL price action` |\n| Sentiment | `What's the sentiment on ETH?` |\n| Social mentions | `Check social mentions for DOGE` |\n| Price chart | `Show ETH price chart` |\n| Chart with period | `Show BTC price chart for 30d` |\n| Trending tokens | `What tokens are trending today?` |\n| Top gainers | `Show top gainers today` |\n| Top losers | `Show top losers today` |\n| Trending by chain | `What's trending on Base?` |\n| Compare tokens | `Compare ETH vs SOL` |\n\n## Prompt Patterns\n\n```\nWhat's the price of {token}?\nShow me {token} market data\nDo technical analysis on {token}\nWhat's the sentiment on {token}?\nShow {token} price chart [for {period}]\nWhat tokens are trending today?\nCompare {token1} vs {token2}\n```\n\n**Chart periods:** 1d, 7d, 30d, 90d, 1y\n\n**Supported chains:** All chains (data aggregated from multiple sources)\n\n## Usage\n\n```typescript\nimport { execute } from \".\u002Fbankr-client\";\n\n\u002F\u002F Price check\nawait execute(\"What's the price of ETH?\");\n\n\u002F\u002F Technical analysis\nawait execute(\"Do technical analysis on BTC\");\n\n\u002F\u002F Sentiment\nawait execute(\"What's the sentiment on SOL?\");\n\n\u002F\u002F Trending\nawait execute(\"What tokens are trending today?\");\n```\n\n## Related Skills\n\n- `bankr-client-patterns` - Client setup and execute function\n- `bankr-api-basics` - API fundamentals\n- `bankr-token-trading` - Execute trades based on research\n","# Market Research Capability\n\nQuery market data and analysis via natural language prompts.\n\n## What You Can Do\n\n| Operation | Example Prompt |\n|-----------|----------------|\n| Token price | `What's the price of ETH?` |\n| Market data | `Show me BTC market data` |\n| Market cap | `What's the market cap of SOL?` |\n| 24h volume | `What's the 24h volume for ETH?` |\n| Holder count | `How many holders does BNKR have?` |\n| Technical analysis | `Do technical analysis on BTC` |\n| RSI | `What's the RSI for ETH?` |\n| Price action | `Analyze SOL price action` |\n| Sentiment | `What's the sentiment on ETH?` |\n| Social mentions | `Check social mentions for DOGE` |\n| Price chart | `Show ETH price chart` |\n| Chart with period | `Show BTC price chart for 30d` |\n| Trending tokens | `What tokens are trending today?` |\n| Top gainers | `Show top gainers today` |\n| Top losers | `Show top losers today` |\n| Trending by chain | `What's trending on Base?` |\n| Compare tokens | `Compare ETH vs SOL` |\n\n## Prompt Patterns\n\n```\nWhat's the price of {token}?\nShow me {token} market data\nDo technical analysis on {token}\nWhat's the sentiment on {token}?\nShow {token} price chart [for {period}]\nWhat tokens are trending today?\nCompare {token1} vs {token2}\n```\n\n**Chart periods:** 1d, 7d, 30d, 90d, 1y\n\n**Supported chains:** All chains (data aggregated from multiple sources)\n\n## Usage\n\n```typescript\nimport { execute } from \".\u002Fbankr-client\";\n\n\u002F\u002F Price check\nawait execute(\"What's the price of ETH?\");\n\n\u002F\u002F Technical analysis\nawait execute(\"Do technical analysis on BTC\");\n\n\u002F\u002F Sentiment\nawait execute(\"What's the sentiment on SOL?\");\n\n\u002F\u002F Trending\nawait execute(\"What tokens are trending today?\");\n```\n\n## Related Skills\n\n- `bankr-client-patterns` - Client setup and execute function\n- `bankr-api-basics` - API fundamentals\n- `bankr-token-trading` - Execute trades based on research\n",{"name":5,"version":48,"description":7},"1.0.0","main","bfe4e4653cba696a8dc20f70c6006651b997fdef","migrate-hyperliquid-firm\u002Fskills\u002Fbankr-skills\u002Fbankr-dev-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":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add enuno\u002Fcrewless-capital --skill \"Bankr Dev - Market Research\"",{"tool":64,"command":65},"bunx","bunx skills add enuno\u002Fcrewless-capital --skill \"Bankr Dev - Market Research\"",{"tool":67,"command":68},"pnpm","pnpm dlx skills add enuno\u002Fcrewless-capital --skill \"Bankr Dev - 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-dev-market-research\u002FSKILL.md",true,[],[73,101,128,153,177,199],{"skillNo":74,"name":75,"nameZh":6,"description":76,"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":43},"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",[79],{"categoryNo":80,"categoryName":81,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",[75,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,42],"ai agents","memory","rag","semantic search","infrastructure","search","applications","api","knowledge","context","Art","personalization","across","learned","retention","for","persistent memory","static",{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":105,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":108,"publishedAt":43},"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",[],[109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,98,125,126,127],"strategy","wolverine strategy","architecture","alpha","Volatility","consensus","only","trading","scanner","manage","max","hyperliquid","runtime","leverage","hunter","at","managed","dsl","phase",{"skillNo":129,"name":130,"nameZh":6,"description":131,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":105,"licenseFileUrl":6,"sourceHtmlUrl":132,"categories":133,"keywords":137,"publishedAt":43},"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",[134],{"categoryNo":135,"categoryName":136,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[109,138,139,140,111,141,142,143,144,145,146,147,148,122,149,150,124,151,152,98],"wolf strategy","MCP","openclaw","health","system","python3","check","health check","stop","strategies","shared","connection","wallets","stop-loss","hyperliquid perps",{"skillNo":154,"name":155,"nameZh":6,"description":156,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":105,"licenseFileUrl":6,"sourceHtmlUrl":157,"categories":158,"keywords":160,"publishedAt":43},"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",[159],{"categoryNo":135,"categoryName":136,"taxonomyType":21,"taxonomyTypeDesc":22},[161,139,162,163,164,30,165,166,167,168,169,170,171,172,173,174,175,126,176,42],"wolf howl","review","performance","learn","loop","analyze","short","autonomous","up","optimize","drift","self","factor","loops","profit","fdr",{"skillNo":178,"name":179,"nameZh":6,"description":180,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":181,"categories":182,"keywords":183,"publishedAt":43},"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",[],[184,185,186,163,187,188,189,190,191,169,192,193,147,194,195,196,197,98,198,42],"index","whale","whale index","auth","monitoring","discovery","use","auto","daily","time","with","consistency","top","mirror","pnl",{"skillNo":200,"name":201,"nameZh":6,"description":202,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":105,"licenseFileUrl":6,"sourceHtmlUrl":203,"categories":204,"keywords":205,"publishedAt":43},"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",[],[109,206,207,33,208,209,117,210,211,212,194,213,214,215,216,217,218,219,126,127],"vixen strategy","roi","first","confirmation","volume","filter","asset","explosion","mode","high","v1","modes","emerging movers","entry"]