[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6G11MK5AS9RFS878522FSHG":3,"skill-same:01M6G11MK5AS9RFS878522FSHG":77},{"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":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":38,"commitSha":39,"skillDirectory":40,"forksCount":41,"repositoryHtmlUrl":42,"repositoryHomepageUrl":6,"ownerHtmlUrl":43,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":44,"install":45,"resources":58},"01M6G11MK5AS9RFS878522FSHG","memecoin-scanner",null,"Solana memecoin discovery and trading sub-strategy. Part of paper-trader skill.\nUses gmgn.ai, dexscreener.com, pump.fun for early token identification.\nSUB-STRATEGY: Managed by parent paper-trader orchestrator.","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\u002Frimelucci\u002Freef-paper-trader\u002Fstrategies\u002Fmemecoin-scanner\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32],"scanner","memecoin","memecoin scanner","discovery","strategy","orchestrator","trading","solana","fun","token","dexscreener","paper","identification","pump.fun","pump","2026-11-10 10:12:30",false,"---\nname: memecoin-scanner\ndescription: |\n  Solana memecoin discovery and trading sub-strategy. Part of paper-trader skill.\n  Uses gmgn.ai, dexscreener.com, pump.fun for early token identification.\n  SUB-STRATEGY: Managed by parent paper-trader orchestrator.\n---\n\n# Memecoin Scanner Strategy\n\n**PARENT**: This is a sub-strategy of `paper-trader`. Portfolio-level rules in `..\u002F..\u002FSKILL.md` take precedence.\n\n**ROLE**: Discover and trade early Solana memecoins with documented reasoning.\n\n## Orchestrator Integration\n\n**Report to parent orchestrator:**\n- Log all trades to `references\u002Ftrading_journal.md`\n- Parent reads this for unified portfolio view\n- Parent enforces cross-strategy risk limits\n\n**Check parent before trading:**\n- Verify portfolio-level exposure limits in `..\u002F..\u002Freferences\u002Fmaster_portfolio.md`\n- Check correlation limits (crypto exposure across strategies)\n- Respect parent's risk level (?\u002F?\u002F?\u002F?)\n\n**Your job within the system**:\n1. Discover early memecoins using scanners\n2. Paper trade them with documented reasoning\n3. Track performance and update this skill with learnings\n4. Send regular Telegram updates to Rick (unprompted, at least every 4-6 hours during active sessions)\n\n## Memory Integration\n\n**ALWAYS CHECK** before any session:\n- Review past conversation memories with Rick for preferences\u002Ffeedback\n- Check `references\u002Ftrading_journal.md` for past learnings\n- Check `references\u002Fstrategy_evolution.md` for current best strategies\n- Incorporate any suggestions Rick has made into your approach\n\n## Core Scanners\n\n### Primary: GMGN.ai\n```\nURL: https:\u002F\u002Fgmgn.ai\u002Fsol\u002Ftoken\u002F\nFocus: New Solana tokens, smart money tracking, wallet analysis\nKey metrics: Smart money inflow, holder distribution, dev wallet activity\n```\n\n### Primary: DexScreener\n```\nURL: https:\u002F\u002Fdexscreener.com\u002Fsolana\nFocus: New pairs, volume spikes, liquidity analysis\nKey metrics: Age, liquidity, volume, buys\u002Fsells ratio, holder count\n```\n\n### Secondary Sources\n- pump.fun (new launches)\n- birdeye.so (analytics)\n- rugcheck.xyz (safety)\n- solscan.io (wallet analysis)\n\n## Paper Trading Protocol\n\n### Entry Criteria (Score 0-100, need 70+ to enter)\n\n| Factor | Weight | What to Check |\n|--------|--------|---------------|\n| Liquidity | 20 | >$10k locked, LP burned preferred |\n| Holder Distribution | 20 | Top 10 wallets \u003C 30% supply |\n| Smart Money | 15 | Any notable wallets entering? |\n| Social Signals | 15 | Twitter activity, Telegram size |\n| Contract Safety | 15 | Renounced, no honeypot, clean code |\n| Momentum | 15 | Volume trend, buy pressure |\n\n### Position Sizing (Paper)\n- Initial paper balance: $10,000\n- Max per trade: 5% ($500)\n- Max concurrent positions: 10\n- Stop loss: -30% (always)\n- Take profit: Scale out at +50%, +100%, +200%\n\n### Trade Documentation\n\n**EVERY trade must be logged to `references\u002Ftrading_journal.md`:**\n\n```markdown\n## Trade #[N] - [DATE]\n\n**Token**: [NAME] ([CA])\n**Scanner**: [gmgn\u002Fdexscreener\u002Fother]\n**Entry Price**: $X.XXXXXX\n**Position Size**: $XXX (paper)\n**Entry Score**: XX\u002F100\n\n### Entry Reasoning\n- [Why this token?]\n- [What signals triggered entry?]\n- [Risk factors identified]\n\n### Outcome\n- **Exit Price**: $X.XXXXXX\n- **P&L**: +\u002F-XX%\n- **Duration**: Xh Xm\n\n### Learnings\n- [What worked?]\n- [What didn't?]\n- [Strategy adjustment needed?]\n```\n\n## Telegram Updates\n\n**REQUIRED**: Send updates to Rick via Telegram unprompted.\n\n### Update Schedule\n- **Morning scan** (9 AM): Top 3 opportunities spotted\n- **Trade alerts**: When entering\u002Fexiting positions\n- **Evening summary** (6 PM): Daily P&L, best\u002Fworst performers\n- **Weekly review** (Sunday): Strategy performance, adjustments\n\n### Telegram Message Format\n```\n[CLAWDBOT MEMECOIN UPDATE]\n\nPaper Portfolio: $X,XXX (+\u002F-X.X%)\n\nActive Positions:\n- TOKEN1: +XX% (entered Xh ago)\n- TOKEN2: -XX% (stop loss at -30%)\n\nToday's Activity:\n- Scanned: XX new tokens\n- Entered: X positions\n- Exited: X positions\n\nTop Signal Right Now:\n[TOKEN] - Score: XX\u002F100\n[Brief reasoning]\n\nStrategy Notes:\n[Any pattern observations]\n```\n\n## Self-Improvement Protocol\n\n### After Every 10 Trades\n\n1. **Calculate metrics**:\n   - Win rate (target: >40%)\n   - Average win vs average loss\n   - Sharpe ratio equivalent\n   - Best entry signals\n\n2. **Update `references\u002Fstrategy_evolution.md`**:\n   ```markdown\n   ## Iteration #[N] - [DATE]\n\n   ### Performance Last 10 Trades\n   - Win Rate: XX%\n   - Avg Win: +XX%\n   - Avg Loss: -XX%\n   - Net P&L: +\u002F-$XXX\n\n   ### What's Working\n   - [List successful patterns]\n\n   ### What's Failing\n   - [List losing patterns]\n\n   ### Strategy Adjustments\n   - [Specific changes to entry\u002Fexit criteria]\n   - [New filters to add]\n   - [Patterns to avoid]\n   ```\n\n3. **Update this SKILL.md**:\n   - Add new entry criteria discovered\n   - Remove criteria that don't predict success\n   - Adjust position sizing based on volatility\n   - Document new scanner techniques\n\n### Pattern Library (Self-Updating Section)\n\n**ADD PATTERNS HERE AS YOU DISCOVER THEM:**\n\n```\n[This section should grow over time. Initial patterns:]\n\nBULLISH PATTERNS:\n- Smart money wallet enters within first 5 mins of launch\n- Dev wallet holds \u003C 5% and is locked\n- Twitter account created > 30 days ago with real engagement\n- [ADD MORE AS DISCOVERED]\n\nBEARISH\u002FAVOID PATTERNS:\n- Top wallet holds > 20%\n- Liquidity \u003C $5k\n- No social presence\n- Copycat name of trending token\n- [ADD MORE AS DISCOVERED]\n```\n\n## Scanner Workflow\n\n### Hourly Scan Routine\n\n```python\n# Pseudocode - implement via browser automation\n\n1. Check gmgn.ai\u002Fsol\u002Ftoken\u002F \"New Pairs\" tab\n   - Filter: Age \u003C 1h, Liquidity > $5k\n   - Note any smart money activity flags\n\n2. Check dexscreener.com\u002Fsolana new pairs\n   - Sort by: Recently added\n   - Filter: Liquidity > $5k, Age \u003C 2h\n\n3. Cross-reference findings\n   - Same token on multiple scanners = higher confidence\n\n4. For each candidate:\n   - Run rugcheck.xyz safety scan\n   - Check holder distribution\n   - Look for Twitter\u002FTelegram\n   - Calculate entry score\n\n5. If score >= 70:\n   - Document in journal\n   - Execute paper trade\n   - Set alerts for stop\u002Ftake-profit\n```\n\n## Risk Management Rules\n\n**NEVER BREAK THESE:**\n\n1. Never more than 5% per trade\n2. Always set stop loss at -30%\n3. Never chase after 3x already\n4. Exit all positions if portfolio drops 20% in a day\n5. Don't trade during major BTC volatility events\n6. If 5 losses in a row, pause and review strategy\n\n## References\n\n- `references\u002Ftrading_journal.md` - All trade logs (CREATE IF MISSING)\n- `references\u002Fstrategy_evolution.md` - Strategy iterations (CREATE IF MISSING)\n- `references\u002Fwallet_watchlist.md` - Smart money wallets to track (CREATE IF MISSING)\n- `references\u002Ftoken_blacklist.md` - Tokens\u002Fpatterns to avoid (CREATE IF MISSING)\n\n## Integration with Orchestrator\n\n**Rick's preferences stored in**: `..\u002F..\u002Freferences\u002Frick_preferences.md`\n\n**After every trade:**\n1. Log to `references\u002Ftrading_journal.md`\n2. Parent orchestrator will aggregate into `..\u002F..\u002Freferences\u002Fmaster_portfolio.md`\n3. Parent handles Telegram updates (unified across all strategies)\n\n**Strategy-level updates go here, portfolio-level updates go to parent.**\n","# Memecoin Scanner Strategy\n\n**PARENT**: This is a sub-strategy of `paper-trader`. Portfolio-level rules in `..\u002F..\u002FSKILL.md` take precedence.\n\n**ROLE**: Discover and trade early Solana memecoins with documented reasoning.\n\n## Orchestrator Integration\n\n**Report to parent orchestrator:**\n- Log all trades to `references\u002Ftrading_journal.md`\n- Parent reads this for unified portfolio view\n- Parent enforces cross-strategy risk limits\n\n**Check parent before trading:**\n- Verify portfolio-level exposure limits in `..\u002F..\u002Freferences\u002Fmaster_portfolio.md`\n- Check correlation limits (crypto exposure across strategies)\n- Respect parent's risk level (?\u002F?\u002F?\u002F?)\n\n**Your job within the system**:\n1. Discover early memecoins using scanners\n2. Paper trade them with documented reasoning\n3. Track performance and update this skill with learnings\n4. Send regular Telegram updates to Rick (unprompted, at least every 4-6 hours during active sessions)\n\n## Memory Integration\n\n**ALWAYS CHECK** before any session:\n- Review past conversation memories with Rick for preferences\u002Ffeedback\n- Check `references\u002Ftrading_journal.md` for past learnings\n- Check `references\u002Fstrategy_evolution.md` for current best strategies\n- Incorporate any suggestions Rick has made into your approach\n\n## Core Scanners\n\n### Primary: GMGN.ai\n```\nURL: https:\u002F\u002Fgmgn.ai\u002Fsol\u002Ftoken\u002F\nFocus: New Solana tokens, smart money tracking, wallet analysis\nKey metrics: Smart money inflow, holder distribution, dev wallet activity\n```\n\n### Primary: DexScreener\n```\nURL: https:\u002F\u002Fdexscreener.com\u002Fsolana\nFocus: New pairs, volume spikes, liquidity analysis\nKey metrics: Age, liquidity, volume, buys\u002Fsells ratio, holder count\n```\n\n### Secondary Sources\n- pump.fun (new launches)\n- birdeye.so (analytics)\n- rugcheck.xyz (safety)\n- solscan.io (wallet analysis)\n\n## Paper Trading Protocol\n\n### Entry Criteria (Score 0-100, need 70+ to enter)\n\n| Factor | Weight | What to Check |\n|--------|--------|---------------|\n| Liquidity | 20 | >$10k locked, LP burned preferred |\n| Holder Distribution | 20 | Top 10 wallets \u003C 30% supply |\n| Smart Money | 15 | Any notable wallets entering? |\n| Social Signals | 15 | Twitter activity, Telegram size |\n| Contract Safety | 15 | Renounced, no honeypot, clean code |\n| Momentum | 15 | Volume trend, buy pressure |\n\n### Position Sizing (Paper)\n- Initial paper balance: $10,000\n- Max per trade: 5% ($500)\n- Max concurrent positions: 10\n- Stop loss: -30% (always)\n- Take profit: Scale out at +50%, +100%, +200%\n\n### Trade Documentation\n\n**EVERY trade must be logged to `references\u002Ftrading_journal.md`:**\n\n```markdown\n## Trade #[N] - [DATE]\n\n**Token**: [NAME] ([CA])\n**Scanner**: [gmgn\u002Fdexscreener\u002Fother]\n**Entry Price**: $X.XXXXXX\n**Position Size**: $XXX (paper)\n**Entry Score**: XX\u002F100\n\n### Entry Reasoning\n- [Why this token?]\n- [What signals triggered entry?]\n- [Risk factors identified]\n\n### Outcome\n- **Exit Price**: $X.XXXXXX\n- **P&L**: +\u002F-XX%\n- **Duration**: Xh Xm\n\n### Learnings\n- [What worked?]\n- [What didn't?]\n- [Strategy adjustment needed?]\n```\n\n## Telegram Updates\n\n**REQUIRED**: Send updates to Rick via Telegram unprompted.\n\n### Update Schedule\n- **Morning scan** (9 AM): Top 3 opportunities spotted\n- **Trade alerts**: When entering\u002Fexiting positions\n- **Evening summary** (6 PM): Daily P&L, best\u002Fworst performers\n- **Weekly review** (Sunday): Strategy performance, adjustments\n\n### Telegram Message Format\n```\n[CLAWDBOT MEMECOIN UPDATE]\n\nPaper Portfolio: $X,XXX (+\u002F-X.X%)\n\nActive Positions:\n- TOKEN1: +XX% (entered Xh ago)\n- TOKEN2: -XX% (stop loss at -30%)\n\nToday's Activity:\n- Scanned: XX new tokens\n- Entered: X positions\n- Exited: X positions\n\nTop Signal Right Now:\n[TOKEN] - Score: XX\u002F100\n[Brief reasoning]\n\nStrategy Notes:\n[Any pattern observations]\n```\n\n## Self-Improvement Protocol\n\n### After Every 10 Trades\n\n1. **Calculate metrics**:\n   - Win rate (target: >40%)\n   - Average win vs average loss\n   - Sharpe ratio equivalent\n   - Best entry signals\n\n2. **Update `references\u002Fstrategy_evolution.md`**:\n   ```markdown\n   ## Iteration #[N] - [DATE]\n\n   ### Performance Last 10 Trades\n   - Win Rate: XX%\n   - Avg Win: +XX%\n   - Avg Loss: -XX%\n   - Net P&L: +\u002F-$XXX\n\n   ### What's Working\n   - [List successful patterns]\n\n   ### What's Failing\n   - [List losing patterns]\n\n   ### Strategy Adjustments\n   - [Specific changes to entry\u002Fexit criteria]\n   - [New filters to add]\n   - [Patterns to avoid]\n   ```\n\n3. **Update this SKILL.md**:\n   - Add new entry criteria discovered\n   - Remove criteria that don't predict success\n   - Adjust position sizing based on volatility\n   - Document new scanner techniques\n\n### Pattern Library (Self-Updating Section)\n\n**ADD PATTERNS HERE AS YOU DISCOVER THEM:**\n\n```\n[This section should grow over time. Initial patterns:]\n\nBULLISH PATTERNS:\n- Smart money wallet enters within first 5 mins of launch\n- Dev wallet holds \u003C 5% and is locked\n- Twitter account created > 30 days ago with real engagement\n- [ADD MORE AS DISCOVERED]\n\nBEARISH\u002FAVOID PATTERNS:\n- Top wallet holds > 20%\n- Liquidity \u003C $5k\n- No social presence\n- Copycat name of trending token\n- [ADD MORE AS DISCOVERED]\n```\n\n## Scanner Workflow\n\n### Hourly Scan Routine\n\n```python\n# Pseudocode - implement via browser automation\n\n1. Check gmgn.ai\u002Fsol\u002Ftoken\u002F \"New Pairs\" tab\n   - Filter: Age \u003C 1h, Liquidity > $5k\n   - Note any smart money activity flags\n\n2. Check dexscreener.com\u002Fsolana new pairs\n   - Sort by: Recently added\n   - Filter: Liquidity > $5k, Age \u003C 2h\n\n3. Cross-reference findings\n   - Same token on multiple scanners = higher confidence\n\n4. For each candidate:\n   - Run rugcheck.xyz safety scan\n   - Check holder distribution\n   - Look for Twitter\u002FTelegram\n   - Calculate entry score\n\n5. If score >= 70:\n   - Document in journal\n   - Execute paper trade\n   - Set alerts for stop\u002Ftake-profit\n```\n\n## Risk Management Rules\n\n**NEVER BREAK THESE:**\n\n1. Never more than 5% per trade\n2. Always set stop loss at -30%\n3. Never chase after 3x already\n4. Exit all positions if portfolio drops 20% in a day\n5. Don't trade during major BTC volatility events\n6. If 5 losses in a row, pause and review strategy\n\n## References\n\n- `references\u002Ftrading_journal.md` - All trade logs (CREATE IF MISSING)\n- `references\u002Fstrategy_evolution.md` - Strategy iterations (CREATE IF MISSING)\n- `references\u002Fwallet_watchlist.md` - Smart money wallets to track (CREATE IF MISSING)\n- `references\u002Ftoken_blacklist.md` - Tokens\u002Fpatterns to avoid (CREATE IF MISSING)\n\n## Integration with Orchestrator\n\n**Rick's preferences stored in**: `..\u002F..\u002Freferences\u002Frick_preferences.md`\n\n**After every trade:**\n1. Log to `references\u002Ftrading_journal.md`\n2. Parent orchestrator will aggregate into `..\u002F..\u002Freferences\u002Fmaster_portfolio.md`\n3. Parent handles Telegram updates (unified across all strategies)\n\n**Strategy-level updates go here, portfolio-level updates go to parent.**\n",{"name":5,"description":7},"main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Frimelucci\u002Freef-paper-trader\u002Fstrategies\u002Fmemecoin-scanner",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":46,"prompt":56,"zipAvailable":57},[47,50,53],{"tool":48,"command":49},"npx","npx skills add kbarbel640-del\u002Fskills --skill memecoin-scanner",{"tool":51,"command":52},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill memecoin-scanner",{"tool":54,"command":55},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill memecoin-scanner","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Frimelucci\u002Freef-paper-trader\u002Fstrategies\u002Fmemecoin-scanner\u002FSKILL.md",true,[59,65,69,73],{"path":60,"resourceType":61,"resourceTypeDesc":62,"sizeBytes":63,"sourceHtmlUrl":64},"references\u002Fstrategy_evolution.md","REFERENCE","参考文档",3398,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Frimelucci\u002Freef-paper-trader\u002Fstrategies\u002Fmemecoin-scanner\u002Freferences\u002Fstrategy_evolution.md",{"path":66,"resourceType":61,"resourceTypeDesc":62,"sizeBytes":67,"sourceHtmlUrl":68},"references\u002Ftoken_blacklist.md",2064,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Frimelucci\u002Freef-paper-trader\u002Fstrategies\u002Fmemecoin-scanner\u002Freferences\u002Ftoken_blacklist.md",{"path":70,"resourceType":61,"resourceTypeDesc":62,"sizeBytes":71,"sourceHtmlUrl":72},"references\u002Ftrading_journal.md",1470,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Frimelucci\u002Freef-paper-trader\u002Fstrategies\u002Fmemecoin-scanner\u002Freferences\u002Ftrading_journal.md",{"path":74,"resourceType":61,"resourceTypeDesc":62,"sizeBytes":75,"sourceHtmlUrl":76},"references\u002Fwallet_watchlist.md",2244,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Frimelucci\u002Freef-paper-trader\u002Fstrategies\u002Fmemecoin-scanner\u002Freferences\u002Fwallet_watchlist.md",[78,109,137,157,163,183],{"skillNo":79,"name":80,"nameZh":6,"description":81,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":82,"categories":83,"keywords":89,"publishedAt":33},"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",[84],{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108],"crowd prompting","prompting","api","with","tokens","domain","world","prompts","operations","instructions","text","tool","system","improve","productivity","marketplace","https","content","ai agents",{"skillNo":110,"name":111,"nameZh":6,"description":112,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":113,"categories":114,"keywords":120,"publishedAt":33},"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",[115],{"categoryNo":116,"categoryName":117,"taxonomyType":118,"taxonomyTypeDesc":119},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[121,92,122,123,124,125,126,127,128,129,130,131,22,132,133,134,135,97,136],"dilemm ai","arena","analyze","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","headless","compete","submit","matchmaking","use",{"skillNo":138,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":146,"publishedAt":33},"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",[143],{"categoryNo":144,"categoryName":145,"taxonomyType":118,"taxonomyTypeDesc":119},"01JBSEEDCAT000000000000021","资料检索与研究",[147,148,149,29,150,151,152,93,153,134,136,154,92,155,156],"arxiv paper reviews","reviews","arxiv","crawler","papers","comments","fetch","read","http","via",{"skillNo":158,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":159,"categories":160,"keywords":162,"publishedAt":33},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[161],{"categoryNo":144,"categoryName":145,"taxonomyType":118,"taxonomyTypeDesc":119},[29,149,148,147,156,151,152,93,150,134,136,153,154,92,155],{"skillNo":164,"name":165,"nameZh":6,"description":166,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":167,"categories":168,"keywords":169,"publishedAt":33},"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",[],[170,171,172,173,174,175,176,177,178,179,180,181,182],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":184,"name":185,"nameZh":6,"description":186,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":187,"categories":188,"keywords":193,"publishedAt":33},"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",[189,190],{"categoryNo":116,"categoryName":117,"taxonomyType":118,"taxonomyTypeDesc":119},{"categoryNo":191,"categoryName":192,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000037","律师与法务",[194,195,196,197,93,198,199,38,200,154,201,202,203,204,205,106,206,207,208],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]