[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6X8SWNWH3D26W4AZD5KNSZX":3,"skill-same:01M6X8SWNWH3D26W4AZD5KNSZX":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":50,"commitSha":51,"skillDirectory":52,"forksCount":53,"repositoryHtmlUrl":54,"repositoryHomepageUrl":6,"ownerHtmlUrl":55,"ownerBlogUrl":56,"ownerDescription":57,"updatedAt":58,"install":59,"resources":72},"01M6X8SWNWH3D26W4AZD5KNSZX","Bankr Agent - Job Workflow",null,"This skill should be used when executing Bankr requests, submitting prompts to Bankr API, polling for job status, checking job progress, using Bankr MCP tools, or understanding the submit-poll-complete workflow pattern. Provides the core asynchronous job pattern for all Bankr API operations.","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-job-workflow\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","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],"workflow","Bankr Agent   Job Workflow","bankr agent","bankr","mcp tools","asynchronous","Tools","api","operations","prompts","core","pattern","progress","complete","submit","requests","for","status","MCP","when","2026-11-10 10:12:30",false,"---\nname: Bankr Agent - Job Workflow\ndescription: This skill should be used when executing Bankr requests, submitting prompts to Bankr API, polling for job status, checking job progress, using Bankr MCP tools, or understanding the submit-poll-complete workflow pattern. Provides the core asynchronous job pattern for all Bankr API operations.\nversion: 1.0.0\n---\n\n# Bankr Job Workflow\n\nExecute Bankr API operations using MCP tools with the asynchronous job pattern.\n\n## Core Pattern: Submit-Poll-Complete\n\n1. **Submit** - Send prompt via `bankr_agent_submit_prompt`, receive job ID\n2. **Poll** - Check status via `bankr_agent_get_job_status` every 2 seconds\n3. **Complete** - Report results when status is terminal\n\n## MCP Tools\n\n### `bankr_agent_submit_prompt`\nSubmit a natural language prompt to start a job.\n- **Input**: Natural language request (e.g., \"Buy $50 of ETH on Base\")\n- **Output**: Job ID for tracking\n\n### `bankr_agent_get_job_status`\nCheck job status. Response includes:\n- `status`: pending | processing | completed | failed | cancelled\n- `response`: Text answer (when completed)\n- `transactions`: Array of executed transactions\n- `statusUpdates`: Progress messages during execution\n- `error`: Error message (when failed)\n\n### `bankr_agent_cancel_job`\nCancel a running job.\n\n## Job Status States\n\n| Status | Action |\n|--------|--------|\n| `pending` | Keep polling |\n| `processing` | Keep polling, report statusUpdates |\n| `completed` | Read response and transactions |\n| `failed` | Check error field |\n| `cancelled` | No further action |\n\n## Timing\n\n- **Poll interval**: 2 seconds\n- **Typical completion**: 30 seconds to 2 minutes\n- **Suggest cancellation**: After 3+ minutes for simple queries\n\n## Output Guidelines\n\n| Query Type | Output Format |\n|------------|---------------|\n| Price queries | State price clearly (e.g., \"ETH is $3,245.67\") |\n| Trades | Confirm amounts and transaction details |\n| Market analysis | Summarize key insights concisely |\n| Polymarket | State odds with context |\n| Balances | List holdings with USD values |\n| Errors | Explain clearly, suggest alternatives |\n\n## Status Update Handling\n\n- Track last reported update count\n- Only report NEW updates to avoid repetition\n- Updates show agent progress (e.g., \"Analyzing market data...\")\n\n## Error Recovery\n\nIf polling fails:\n1. Retry after brief delay\n2. Job continues server-side regardless\n3. Can resume polling with same jobId\n","# Bankr Job Workflow\n\nExecute Bankr API operations using MCP tools with the asynchronous job pattern.\n\n## Core Pattern: Submit-Poll-Complete\n\n1. **Submit** - Send prompt via `bankr_agent_submit_prompt`, receive job ID\n2. **Poll** - Check status via `bankr_agent_get_job_status` every 2 seconds\n3. **Complete** - Report results when status is terminal\n\n## MCP Tools\n\n### `bankr_agent_submit_prompt`\nSubmit a natural language prompt to start a job.\n- **Input**: Natural language request (e.g., \"Buy $50 of ETH on Base\")\n- **Output**: Job ID for tracking\n\n### `bankr_agent_get_job_status`\nCheck job status. Response includes:\n- `status`: pending | processing | completed | failed | cancelled\n- `response`: Text answer (when completed)\n- `transactions`: Array of executed transactions\n- `statusUpdates`: Progress messages during execution\n- `error`: Error message (when failed)\n\n### `bankr_agent_cancel_job`\nCancel a running job.\n\n## Job Status States\n\n| Status | Action |\n|--------|--------|\n| `pending` | Keep polling |\n| `processing` | Keep polling, report statusUpdates |\n| `completed` | Read response and transactions |\n| `failed` | Check error field |\n| `cancelled` | No further action |\n\n## Timing\n\n- **Poll interval**: 2 seconds\n- **Typical completion**: 30 seconds to 2 minutes\n- **Suggest cancellation**: After 3+ minutes for simple queries\n\n## Output Guidelines\n\n| Query Type | Output Format |\n|------------|---------------|\n| Price queries | State price clearly (e.g., \"ETH is $3,245.67\") |\n| Trades | Confirm amounts and transaction details |\n| Market analysis | Summarize key insights concisely |\n| Polymarket | State odds with context |\n| Balances | List holdings with USD values |\n| Errors | Explain clearly, suggest alternatives |\n\n## Status Update Handling\n\n- Track last reported update count\n- Only report NEW updates to avoid repetition\n- Updates show agent progress (e.g., \"Analyzing market data...\")\n\n## Error Recovery\n\nIf polling fails:\n1. Retry after brief delay\n2. Job continues server-side regardless\n3. Can resume polling with same jobId\n",{"name":5,"version":49,"description":7},"1.0.0","main","bfe4e4653cba696a8dc20f70c6006651b997fdef","migrate-hyperliquid-firm\u002Fskills\u002Fbankr-skills\u002Fbankr-agent-job-workflow",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":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add enuno\u002Fcrewless-capital --skill \"Bankr Agent - Job Workflow\"",{"tool":65,"command":66},"bunx","bunx skills add enuno\u002Fcrewless-capital --skill \"Bankr Agent - Job Workflow\"",{"tool":68,"command":69},"pnpm","pnpm dlx skills add enuno\u002Fcrewless-capital --skill \"Bankr Agent - Job Workflow\"","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-job-workflow\u002FSKILL.md",true,[],[74,100,127,149,174,196],{"skillNo":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":78,"categories":79,"keywords":83,"publishedAt":44},"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",[80],{"categoryNo":81,"categoryName":82,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",[76,84,85,86,87,88,89,90,31,91,92,93,94,95,96,97,40,98,99,43],"ai agents","memory","rag","semantic search","infrastructure","search","applications","knowledge","context","Art","personalization","across","learned","retention","persistent memory","static",{"skillNo":101,"name":102,"nameZh":6,"description":103,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":104,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":107,"publishedAt":44},"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",[],[108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,40,124,125,126],"strategy","wolverine strategy","architecture","alpha","Volatility","consensus","only","trading","scanner","manage","max","hyperliquid","runtime","leverage","hunter","at","managed","dsl","phase",{"skillNo":128,"name":129,"nameZh":6,"description":130,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":104,"licenseFileUrl":6,"sourceHtmlUrl":131,"categories":132,"keywords":134,"publishedAt":44},"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",[133],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[108,135,42,136,110,137,138,139,140,141,142,143,144,121,145,146,123,147,148,40],"wolf strategy","openclaw","health","system","python3","check","health check","stop","strategies","shared","connection","wallets","stop-loss","hyperliquid perps",{"skillNo":150,"name":151,"nameZh":6,"description":152,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":104,"licenseFileUrl":6,"sourceHtmlUrl":153,"categories":154,"keywords":156,"publishedAt":44},"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",[155],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[157,42,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,125,173,43],"wolf howl","review","performance","learn","analysis","loop","analyze","short","autonomous","up","optimize","drift","self","factor","loops","profit","fdr",{"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},"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",[],[181,182,183,159,184,185,186,187,188,166,189,190,143,191,192,193,194,40,195,43],"index","whale","whale index","auth","monitoring","discovery","use","auto","daily","time","with","consistency","top","mirror","pnl",{"skillNo":197,"name":198,"nameZh":6,"description":199,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":104,"licenseFileUrl":6,"sourceHtmlUrl":200,"categories":201,"keywords":202,"publishedAt":44},"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",[],[108,203,204,205,206,207,116,208,209,210,191,211,212,213,214,215,216,217,125,126],"vixen strategy","roi","data","first","confirmation","volume","filter","asset","explosion","mode","high","v1","modes","emerging movers","entry"]