[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6G6F2VT4TVXHFEBYYC4231E":3,"skill-same:01M6G6F2VT4TVXHFEBYYC4231E":84},{"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":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":46,"repositoryHtmlUrl":47,"repositoryHomepageUrl":6,"ownerHtmlUrl":48,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":49,"install":50,"resources":63},"01M6G6F2VT4TVXHFEBYYC4231E","market-environment-analysis",null,"Comprehensive market environment analysis and reporting tool. Analyzes global markets including US, European, Asian markets, forex, commodities, and economic indicators. Provides risk-on\u002Frisk-off assessment, sector analysis, and technical indicator interpretation. Triggers on keywords like market analysis, market environment, global markets, trading environment, market conditions, investment climate, market sentiment, forex analysis, stock market analysis, 相場環境, 市場分析, マーケット状況, 投資環境.","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\u002Fveeramanikandanr48\u002Fmarket-environment-analysis\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"Market","market environment analysis","environment","analysis","risk","indicators","reporting","tool","technical","sentiment","interpretation","trading","investment","market analysis","stock","triggers","forex","climate","markets","assessment","2026-11-10 10:12:30",false,"---\nname: market-environment-analysis\ndescription: Comprehensive market environment analysis and reporting tool. Analyzes global markets including US, European, Asian markets, forex, commodities, and economic indicators. Provides risk-on\u002Frisk-off assessment, sector analysis, and technical indicator interpretation. Triggers on keywords like market analysis, market environment, global markets, trading environment, market conditions, investment climate, market sentiment, forex analysis, stock market analysis, 相場環境, 市場分析, マーケット状況, 投資環境.\n---\n\n# Market Environment Analysis\n\nComprehensive analysis tool for understanding market conditions and creating professional market reports anytime.\n\n## Core Workflow\n\n### 1. Initial Data Collection\nCollect latest market data using web_search tool:\n1. Major stock indices (S&P 500, NASDAQ, Dow, Nikkei 225, Shanghai Composite, Hang Seng)\n2. Forex rates (USD\u002FJPY, EUR\u002FUSD, major currency pairs)\n3. Commodity prices (WTI crude, Gold, Silver)\n4. US Treasury yields (2-year, 10-year, 30-year)\n5. VIX index (Fear gauge)\n6. Market trading status (open\u002Fclose\u002Fcurrent values)\n\n### 2. Market Environment Assessment\nEvaluate the following from collected data:\n- **Trend Direction**: Uptrend\u002FDowntrend\u002FRange-bound\n- **Risk Sentiment**: Risk-on\u002FRisk-off\n- **Volatility Status**: Market anxiety level from VIX\n- **Sector Rotation**: Where capital is flowing\n\n### 3. Report Structure\n\n#### Standard Report Format:\n```\n1. Executive Summary (3-5 key points)\n2. Global Market Overview\n   - US Markets\n   - Asian Markets\n   - European Markets\n3. Forex & Commodities Trends\n4. Key Events & Economic Indicators\n5. Risk Factor Analysis\n6. Investment Strategy Implications\n```\n\n## Script Usage\n\n### market_utils.py\nProvides common functions for report creation:\n```bash\n# Generate report header\npython scripts\u002Fmarket_utils.py\n\n# Available functions:\n- format_market_report_header(): Create header\n- get_market_session_times(): Check trading hours\n- categorize_volatility(vix): Interpret VIX levels\n- format_percentage_change(value): Format price changes\n```\n\n## Reference Documentation\n\n### Key Indicators Interpretation (references\u002Findicators.md)\nReference when you need:\n- Important levels for each index\n- Technical analysis key points\n- Sector-specific focus areas\n\n### Analysis Patterns (references\u002Fanalysis_patterns.md)\nReference when analyzing:\n- Risk-on\u002FRisk-off criteria\n- Economic indicator interpretation\n- Inter-market correlations\n- Seasonality and market anomalies\n\n## Output Examples\n\n### Quick Summary Version\n```\n? Market Summary [2025\u002F01\u002F15 14:00]\n━━━━━━━━━━━━━━━━━━━━━\n【US】S&P 500: 5,123.45 (+0.45%)\n【JP】Nikkei 225: 38,456.78 (-0.23%)\n【FX】USD\u002FJPY: 149.85 (↑0.15)\n【VIX】16.2 (Normal range)\n\n⚡ Key Events\n- Japan GDP Flash\n- US Employment Report\n\n? Environment: Risk-On Continues\n```\n\n### Detailed Analysis Version\nStart with executive summary, then analyze each section in detail.\nKey clarifications:\n1. Current market phase (Bullish\u002FBearish\u002FNeutral)\n2. Short-term direction (1-5 days outlook)\n3. Risk events to monitor\n4. Recommended position adjustments\n\n## Important Considerations\n\n### Timezone Awareness\n- Consider all major market timezones\n- US markets: Evening to early morning (Asian time)\n- European markets: Afternoon to evening (Asian time)\n- Asian markets: Morning to afternoon (Local time)\n\n### Economic Calendar Priority\nCategorize by importance:\n- ⭐⭐⭐ Critical (FOMC, NFP, CPI, etc.)\n- ⭐⭐ Important (GDP, Retail Sales, etc.)\n- ⭐ Reference level\n\n### Data Source Priority\n1. Official releases (Central banks, Government statistics)\n2. Major financial media (Bloomberg, Reuters)\n3. Broker reports\n4. Analyst consensus estimates\n\n## Troubleshooting\n\n### Data Collection Notes\n- Check market holidays (holiday calendars)\n- Be aware of daylight saving time changes\n- Distinguish between flash and final data\n\n### Market Volatility Response\n1. First organize the facts\n2. Reference historical similar events\n3. Verify with multiple sources\n4. Maintain objective analysis\n\n## Customization Options\n\nAdjust based on user's investment style:\n- **Day Traders**: Intraday charts, order flow focus\n- **Swing Traders**: Daily\u002Fweekly technicals emphasis\n- **Long-term Investors**: Fundamentals, macro economics focus\n- **Forex Traders**: Currency correlations, interest rate differentials\n- **Options Traders**: Volatility analysis, Greeks monitoring\n","# Market Environment Analysis\n\nComprehensive analysis tool for understanding market conditions and creating professional market reports anytime.\n\n## Core Workflow\n\n### 1. Initial Data Collection\nCollect latest market data using web_search tool:\n1. Major stock indices (S&P 500, NASDAQ, Dow, Nikkei 225, Shanghai Composite, Hang Seng)\n2. Forex rates (USD\u002FJPY, EUR\u002FUSD, major currency pairs)\n3. Commodity prices (WTI crude, Gold, Silver)\n4. US Treasury yields (2-year, 10-year, 30-year)\n5. VIX index (Fear gauge)\n6. Market trading status (open\u002Fclose\u002Fcurrent values)\n\n### 2. Market Environment Assessment\nEvaluate the following from collected data:\n- **Trend Direction**: Uptrend\u002FDowntrend\u002FRange-bound\n- **Risk Sentiment**: Risk-on\u002FRisk-off\n- **Volatility Status**: Market anxiety level from VIX\n- **Sector Rotation**: Where capital is flowing\n\n### 3. Report Structure\n\n#### Standard Report Format:\n```\n1. Executive Summary (3-5 key points)\n2. Global Market Overview\n   - US Markets\n   - Asian Markets\n   - European Markets\n3. Forex & Commodities Trends\n4. Key Events & Economic Indicators\n5. Risk Factor Analysis\n6. Investment Strategy Implications\n```\n\n## Script Usage\n\n### market_utils.py\nProvides common functions for report creation:\n```bash\n# Generate report header\npython scripts\u002Fmarket_utils.py\n\n# Available functions:\n- format_market_report_header(): Create header\n- get_market_session_times(): Check trading hours\n- categorize_volatility(vix): Interpret VIX levels\n- format_percentage_change(value): Format price changes\n```\n\n## Reference Documentation\n\n### Key Indicators Interpretation (references\u002Findicators.md)\nReference when you need:\n- Important levels for each index\n- Technical analysis key points\n- Sector-specific focus areas\n\n### Analysis Patterns (references\u002Fanalysis_patterns.md)\nReference when analyzing:\n- Risk-on\u002FRisk-off criteria\n- Economic indicator interpretation\n- Inter-market correlations\n- Seasonality and market anomalies\n\n## Output Examples\n\n### Quick Summary Version\n```\n? Market Summary [2025\u002F01\u002F15 14:00]\n━━━━━━━━━━━━━━━━━━━━━\n【US】S&P 500: 5,123.45 (+0.45%)\n【JP】Nikkei 225: 38,456.78 (-0.23%)\n【FX】USD\u002FJPY: 149.85 (↑0.15)\n【VIX】16.2 (Normal range)\n\n⚡ Key Events\n- Japan GDP Flash\n- US Employment Report\n\n? Environment: Risk-On Continues\n```\n\n### Detailed Analysis Version\nStart with executive summary, then analyze each section in detail.\nKey clarifications:\n1. Current market phase (Bullish\u002FBearish\u002FNeutral)\n2. Short-term direction (1-5 days outlook)\n3. Risk events to monitor\n4. Recommended position adjustments\n\n## Important Considerations\n\n### Timezone Awareness\n- Consider all major market timezones\n- US markets: Evening to early morning (Asian time)\n- European markets: Afternoon to evening (Asian time)\n- Asian markets: Morning to afternoon (Local time)\n\n### Economic Calendar Priority\nCategorize by importance:\n- ⭐⭐⭐ Critical (FOMC, NFP, CPI, etc.)\n- ⭐⭐ Important (GDP, Retail Sales, etc.)\n- ⭐ Reference level\n\n### Data Source Priority\n1. Official releases (Central banks, Government statistics)\n2. Major financial media (Bloomberg, Reuters)\n3. Broker reports\n4. Analyst consensus estimates\n\n## Troubleshooting\n\n### Data Collection Notes\n- Check market holidays (holiday calendars)\n- Be aware of daylight saving time changes\n- Distinguish between flash and final data\n\n### Market Volatility Response\n1. First organize the facts\n2. Reference historical similar events\n3. Verify with multiple sources\n4. Maintain objective analysis\n\n## Customization Options\n\nAdjust based on user's investment style:\n- **Day Traders**: Intraday charts, order flow focus\n- **Swing Traders**: Daily\u002Fweekly technicals emphasis\n- **Long-term Investors**: Fundamentals, macro economics focus\n- **Forex Traders**: Currency correlations, interest rate differentials\n- **Options Traders**: Volatility analysis, Greeks monitoring\n",{"name":5,"description":7},"main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Fveeramanikandanr48\u002Fmarket-environment-analysis",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":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add kbarbel640-del\u002Fskills --skill market-environment-analysis",{"tool":56,"command":57},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill market-environment-analysis",{"tool":59,"command":60},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill market-environment-analysis","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fveeramanikandanr48\u002Fmarket-environment-analysis\u002FSKILL.md",true,[64,70,74,78],{"path":65,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":68,"sourceHtmlUrl":69},"_meta.json","REFERENCE","参考文档",318,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fveeramanikandanr48\u002Fmarket-environment-analysis\u002F_meta.json",{"path":71,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":72,"sourceHtmlUrl":73},"references\u002Fanalysis_patterns.md",3377,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fveeramanikandanr48\u002Fmarket-environment-analysis\u002Freferences\u002Fanalysis_patterns.md",{"path":75,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":76,"sourceHtmlUrl":77},"references\u002Findicators.md",2487,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fveeramanikandanr48\u002Fmarket-environment-analysis\u002Freferences\u002Findicators.md",{"path":79,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":82,"sourceHtmlUrl":83},"scripts\u002Fmarket_utils.py","SCRIPT","脚本",3847,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fveeramanikandanr48\u002Fmarket-environment-analysis\u002Fscripts\u002Fmarket_utils.py",[85,115,144,165,171,191],{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":89,"categories":90,"keywords":96,"publishedAt":38},"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",[91],{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[97,98,99,100,101,102,103,104,105,106,107,25,108,109,110,111,112,113,114],"crowd prompting","prompting","api","with","tokens","domain","world","prompts","operations","instructions","text","system","improve","productivity","marketplace","https","content","ai agents",{"skillNo":116,"name":117,"nameZh":6,"description":118,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":119,"categories":120,"keywords":126,"publishedAt":38},"01M6G8J0PKPAYVET6BWE8W4C26","dilemm-ai","Compete in DilemmAI, the prisoner's dilemma AI arena at dilemm.ai. 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Check compliance, read rules, log actions, query governance state.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fztsalexey\u002Fagent-constitution\u002FSKILL.md",[197,198],{"categoryNo":122,"categoryName":123,"taxonomyType":124,"taxonomyTypeDesc":125},{"categoryNo":199,"categoryName":200,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000037","律师与法务",[202,203,204,205,100,206,207,43,208,162,209,210,211,212,213,112,214,215,216],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]