[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CFRM7YJ2Q07KTV6CH0PMCK":3,"skill-same:01M6CFRM7YJ2Q07KTV6CH0PMCK":95},{"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":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":51,"commitSha":52,"skillDirectory":53,"forksCount":54,"repositoryHtmlUrl":55,"repositoryHomepageUrl":6,"ownerHtmlUrl":56,"ownerBlogUrl":57,"ownerDescription":6,"updatedAt":58,"install":59,"resources":72},"01M6CFRM7YJ2Q07KTV6CH0PMCK","openclaw-feeds",null,"RSS news aggregator. Fetches headlines from curated feeds across three categories: news, games, and finance. Use when the user asks about current news, headlines, what's happening, what's going on, or says \"what's up in news\", \"what's up in finance\", \"what's up in games\", or the German equivalents \"was geht mit nachrichten\", \"was geht mit money\", \"was geht mit gaming\". Also activates for requests like \"give me a news rundown\", \"latest headlines\", \"market news\", \"gaming news\", \"tech news\", \"finance roundup\", or \"briefing\". Returns structured JSON from public RSS feeds — no API keys, no web search needed.","sundial-org\u002Fawesome-openclaw-skills","sundial-org","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F225963689?v=4","01M6CEAPGV2C2CVE8A0VCS0XZH","Sundial","01M6CEAPN7KM9TGZMBC07NDY3H",674,"MIT","https:\u002F\u002Fgithub.com\u002Fsundial-org\u002Fawesome-openclaw-skills\u002Fblob\u002Fmain\u002Fskills\u002Fopenclaw-feeds\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"openclaw feeds","feeds","openclaw","json","german","Market","up","use","install","fetch","python3","rss","web search","access","Bash","api","roundup","search","web","python","2026-11-10 10:12:30",false,"---\nname: openclaw-feeds\ndescription: >\n  RSS news aggregator. Fetches headlines from curated feeds across three categories: news, games,\n  and finance. Use when the user asks about current news, headlines, what's happening, what's going\n  on, or says \"what's up in news\", \"what's up in finance\", \"what's up in games\", or the German\n  equivalents \"was geht mit nachrichten\", \"was geht mit money\", \"was geht mit gaming\". Also\n  activates for requests like \"give me a news rundown\", \"latest headlines\", \"market news\",\n  \"gaming news\", \"tech news\", \"finance roundup\", or \"briefing\". Returns structured JSON from\n  public RSS feeds — no API keys, no web search needed.\nlicense: MIT\ncompatibility: Requires Python 3, feedparser (pip install feedparser), and network access to fetch RSS feeds.\nallowed-tools: Bash(python3:*)\nmetadata:\n  author: nesdeq\n  version: \"3.1.1\"\n  tags: \"rss, news, feeds, headlines, aggregator\"\n---\n\n# Feeds\n\nRSS news aggregator. Fetches all current entries from curated feeds across three categories — news, games, and finance. Concurrent fetching, streamed JSON output. No API key needed.\n\n## Constraint\n\nDo NOT use web search, WebFetch, browser tools, or any other URL-fetching tool when this skill is active. The RSS feeds are the sole data source. Do not supplement, verify, or expand results with external searches. Do not fetch article URLs — summaries are already included in the output.\n\n## Categories\n\nDetect the category from the user's message:\n\n- \"news\", \"headlines\", \"nachrichten\", \"tech news\" → `news`\n- \"finance\", \"markets\", \"money\", \"stocks\", \"economy\" → `finance`\n- \"games\", \"gaming\" → `games`\n\n| Category | Feeds | Sources |\n|----------|-------|---------|\n| `news` | 21 | Ars Technica, Wired, TechCrunch, The Verge, NYT, Heise, Quanta, Aeon, Nautilus, and more |\n| `games` | 10 | GameStar, GamesGlobal, PC Gamer, Polygon, Kotaku, IGN, Rock Paper Shotgun, GamesIndustry.biz |\n| `finance` | 26 | Bloomberg, WSJ, FT, CNBC, MarketWatch, Seeking Alpha, The Economist, Forbes, CoinDesk, Fed, ECB |\n\nFeed lists are defined in [scripts\u002Flists.py](scripts\u002Flists.py).\n\n## How to Invoke\n\nRun one invocation per category. Run multiple if the user asks for more than one.\n\n```bash\npython3 scripts\u002Ffeeds.py --category news\npython3 scripts\u002Ffeeds.py --category games\npython3 scripts\u002Ffeeds.py --category finance\n```\n\n## Output Format\n\nThe script streams a JSON array. The first element is metadata, the rest are entries:\n\n```json\n[{\"category\": \"news\", \"total_entries\": 142, \"sources\": [\"aeon.co\", \"arstechnica.com\"], \"fetched_at\": \"2026-01-31 22:00:00\"}\n,{\"title\": \"Headline Here\", \"url\": \"https:\u002F\u002Fexample.com\u002Farticle\", \"source\": \"arstechnica.com\", \"date\": \"Fri, 31 Jan 2026 12:00:00 GMT\", \"summary\": \"Brief summary text...\"}\n]\n```\n\n| Field | Description |\n|-------|-------------|\n| `title` | Headline text |\n| `url` | Link to full article |\n| `source` | Domain name of the feed source |\n| `date` | Publication date as provided by the feed |\n| `summary` | Brief description, HTML stripped, max 500 chars |\n\n## CLI Reference\n\n| Flag | Description |\n|------|-------------|\n| `-c, --category` | Feed category: `news`, `games`, or `finance` (required) |\n\n## Presenting Results\n\nAfter parsing the output, present a structured, concise rundown:\n\n1. **Group by theme** — cluster related stories under headings (e.g. \"Tech & Industry\", \"Science\", \"Markets\", \"Crypto\")\n2. **Keep it tight** — headline + one-line summary + source attribution per item\n3. **Link to sources** — use markdown links so the user can read more\n4. **Deduplicate** — if multiple feeds cover the same story, mention it once and note cross-source coverage\n5. **Highlight big stories** — if a story appears across 3+ sources, call it out prominently\n\nExample output:\n\n```\n### Tech & Industry\n- **[Headline](url)** — One-line summary *(Source)*\n- **[Headline](url)** — One-line summary *(Source)*\n\n### Science\n- **[Headline](url)** — One-line summary *(Source)*\n```\n\n## Edge Cases\n\n- Failed or timed-out feeds (15s timeout) are silently skipped — remaining feeds still return results.\n- If zero entries are returned, the script exits with `{\"error\": \"No entries found\", \"category\": \"...\"}`.\n- Some entries may lack summaries — they will still have title, URL, and source.\n","# Feeds\n\nRSS news aggregator. Fetches all current entries from curated feeds across three categories — news, games, and finance. Concurrent fetching, streamed JSON output. No API key needed.\n\n## Constraint\n\nDo NOT use web search, WebFetch, browser tools, or any other URL-fetching tool when this skill is active. The RSS feeds are the sole data source. Do not supplement, verify, or expand results with external searches. Do not fetch article URLs — summaries are already included in the output.\n\n## Categories\n\nDetect the category from the user's message:\n\n- \"news\", \"headlines\", \"nachrichten\", \"tech news\" → `news`\n- \"finance\", \"markets\", \"money\", \"stocks\", \"economy\" → `finance`\n- \"games\", \"gaming\" → `games`\n\n| Category | Feeds | Sources |\n|----------|-------|---------|\n| `news` | 21 | Ars Technica, Wired, TechCrunch, The Verge, NYT, Heise, Quanta, Aeon, Nautilus, and more |\n| `games` | 10 | GameStar, GamesGlobal, PC Gamer, Polygon, Kotaku, IGN, Rock Paper Shotgun, GamesIndustry.biz |\n| `finance` | 26 | Bloomberg, WSJ, FT, CNBC, MarketWatch, Seeking Alpha, The Economist, Forbes, CoinDesk, Fed, ECB |\n\nFeed lists are defined in [scripts\u002Flists.py](scripts\u002Flists.py).\n\n## How to Invoke\n\nRun one invocation per category. Run multiple if the user asks for more than one.\n\n```bash\npython3 scripts\u002Ffeeds.py --category news\npython3 scripts\u002Ffeeds.py --category games\npython3 scripts\u002Ffeeds.py --category finance\n```\n\n## Output Format\n\nThe script streams a JSON array. The first element is metadata, the rest are entries:\n\n```json\n[{\"category\": \"news\", \"total_entries\": 142, \"sources\": [\"aeon.co\", \"arstechnica.com\"], \"fetched_at\": \"2026-01-31 22:00:00\"}\n,{\"title\": \"Headline Here\", \"url\": \"https:\u002F\u002Fexample.com\u002Farticle\", \"source\": \"arstechnica.com\", \"date\": \"Fri, 31 Jan 2026 12:00:00 GMT\", \"summary\": \"Brief summary text...\"}\n]\n```\n\n| Field | Description |\n|-------|-------------|\n| `title` | Headline text |\n| `url` | Link to full article |\n| `source` | Domain name of the feed source |\n| `date` | Publication date as provided by the feed |\n| `summary` | Brief description, HTML stripped, max 500 chars |\n\n## CLI Reference\n\n| Flag | Description |\n|------|-------------|\n| `-c, --category` | Feed category: `news`, `games`, or `finance` (required) |\n\n## Presenting Results\n\nAfter parsing the output, present a structured, concise rundown:\n\n1. **Group by theme** — cluster related stories under headings (e.g. \"Tech & Industry\", \"Science\", \"Markets\", \"Crypto\")\n2. **Keep it tight** — headline + one-line summary + source attribution per item\n3. **Link to sources** — use markdown links so the user can read more\n4. **Deduplicate** — if multiple feeds cover the same story, mention it once and note cross-source coverage\n5. **Highlight big stories** — if a story appears across 3+ sources, call it out prominently\n\nExample output:\n\n```\n### Tech & Industry\n- **[Headline](url)** — One-line summary *(Source)*\n- **[Headline](url)** — One-line summary *(Source)*\n\n### Science\n- **[Headline](url)** — One-line summary *(Source)*\n```\n\n## Edge Cases\n\n- Failed or timed-out feeds (15s timeout) are silently skipped — remaining feeds still return results.\n- If zero entries are returned, the script exits with `{\"error\": \"No entries found\", \"category\": \"...\"}`.\n- Some entries may lack summaries — they will still have title, URL, and source.\n",{"name":5,"license":15,"metadata":44,"description":48,"allowed-tools":49,"compatibility":50},{"tags":45,"author":46,"version":47},"rss, news, feeds, headlines, aggregator","nesdeq","3.1.1","RSS news aggregator. Fetches headlines from curated feeds across three categories: news, games, and finance. Use when the user asks about current news, headlines, what's happening, what's going on, or says \"what's up in news\", \"what's up in finance\", \"what's up in games\", or the German equivalents \"was geht mit nachrichten\", \"was geht mit money\", \"was geht mit gaming\". Also activates for requests like \"give me a news rundown\", \"latest headlines\", \"market news\", \"gaming news\", \"tech news\", \"finance roundup\", or \"briefing\". Returns structured JSON from public RSS feeds — no API keys, no web search needed.\n","Bash(python3:*)","Requires Python 3, feedparser (pip install feedparser), and network access to fetch RSS feeds.","main","b80cde2ef85241dd4fd54a1b934f5e22835f78ba","skills\u002Fopenclaw-feeds",102,"https:\u002F\u002Fgithub.com\u002Fsundial-org\u002Fawesome-openclaw-skills","https:\u002F\u002Fgithub.com\u002Fsundial-org","https:\u002F\u002Fwww.sundialhub.com","2026-03-07 14:57:19",{"source":8,"skillName":5,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add sundial-org\u002Fawesome-openclaw-skills --skill openclaw-feeds",{"tool":65,"command":66},"bunx","bunx skills add sundial-org\u002Fawesome-openclaw-skills --skill openclaw-feeds",{"tool":68,"command":69},"pnpm","pnpm dlx skills add sundial-org\u002Fawesome-openclaw-skills --skill openclaw-feeds","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsundial-org\u002Fawesome-openclaw-skills\u002Fblob\u002Fmain\u002Fskills\u002Fopenclaw-feeds\u002FSKILL.md",true,[73,79,85,89],{"path":74,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":77,"sourceHtmlUrl":78},"README.md","REFERENCE","参考文档",3773,"https:\u002F\u002Fgithub.com\u002Fsundial-org\u002Fawesome-openclaw-skills\u002Fblob\u002Fmain\u002Fskills\u002Fopenclaw-feeds\u002FREADME.md",{"path":80,"resourceType":81,"resourceTypeDesc":82,"sizeBytes":83,"sourceHtmlUrl":84},"scripts\u002Ffeeds.py","SCRIPT","脚本",5683,"https:\u002F\u002Fgithub.com\u002Fsundial-org\u002Fawesome-openclaw-skills\u002Fblob\u002Fmain\u002Fskills\u002Fopenclaw-feeds\u002Fscripts\u002Ffeeds.py",{"path":86,"resourceType":81,"resourceTypeDesc":82,"sizeBytes":87,"sourceHtmlUrl":88},"scripts\u002Flists.py",3294,"https:\u002F\u002Fgithub.com\u002Fsundial-org\u002Fawesome-openclaw-skills\u002Fblob\u002Fmain\u002Fskills\u002Fopenclaw-feeds\u002Fscripts\u002Flists.py",{"path":90,"resourceType":91,"resourceTypeDesc":92,"sizeBytes":93,"sourceHtmlUrl":94},"spec\u002Fspecification.mdx","OTHER","其他",6536,"https:\u002F\u002Fgithub.com\u002Fsundial-org\u002Fawesome-openclaw-skills\u002Fblob\u002Fmain\u002Fskills\u002Fopenclaw-feeds\u002Fspec\u002Fspecification.mdx",[96,106,137,158,186,210],{"skillNo":97,"name":98,"nameZh":6,"description":99,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":100,"categories":101,"keywords":102,"publishedAt":39},"01M6CGQVNAEMJTA5P9GZVYNCVG","x-trends","Fetches current top trending topics on X (Twitter) for any country using public aggregators.","https:\u002F\u002Fgithub.com\u002Fsundial-org\u002Fawesome-openclaw-skills\u002Fblob\u002Fmain\u002Fskills\u002Fx-trends\u002FSKILL.md",[],[103,104,105],"x trends","public","twitter",{"skillNo":107,"name":108,"nameZh":6,"description":109,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":110,"categories":111,"keywords":117,"publishedAt":39},"01M6CGKR0DGWD64YAYJ4WH32C0","vercel-react-best-practices","React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React\u002FNext.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.","https:\u002F\u002Fgithub.com\u002Fsundial-org\u002Fawesome-openclaw-skills\u002Fblob\u002Fmain\u002Fskills\u002Fvercel-react-best-practices\u002FSKILL.md",[112],{"categoryNo":113,"categoryName":114,"taxonomyType":115,"taxonomyTypeDesc":116},"01JBSEEDCAT000000000000009","前端开发","SCENARIO","使用场景",[118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136],"vercel react best practices","react","best practices","react best practices","vercel","tasks","performance optimization","js","refactoring","Next.js","data","Optimization","engineering","code","guidelines","react components","components","performance","writing",{"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":15,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":143,"publishedAt":39},"01M6CGGNS5N14QNV719AK25G94","topydo","Manage todo.txt tasks using topydo CLI. Add, list, complete, prioritize, tag, and organize tasks with dependencies, due dates, recurrence, and projects. Use for any task management, todo lists, or when the user mentions tasks, todos, or todo.txt. Requires Python 3 and pip. Works on macOS, Linux, and Windows.","https:\u002F\u002Fgithub.com\u002Fsundial-org\u002Fawesome-openclaw-skills\u002Fblob\u002Fmain\u002Fskills\u002Ftopydo\u002FSKILL.md",[],[139,144,145,123,146,147,148,149,150,151,38,152,153,154,155,156,157,26],"prioritize","projects","task management","windows","list","management","linux","github","cli","macos","user","todo","task","manage",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":172,"publishedAt":39},"01M6CFQMN6XK3X0D0FFAJ4ZCC0","octolens","Query and analyze brand mentions from Octolens API. Use when the user wants to fetch mentions, track keywords, filter by source platforms (Twitter, Reddit, GitHub, LinkedIn, etc.), sentiment analysis, or analyze social media engagement. Supports complex filtering with AND\u002FOR logic, date ranges, follower counts, and bookmarks.","https:\u002F\u002Fgithub.com\u002Fsundial-org\u002Fawesome-openclaw-skills\u002Fblob\u002Fmain\u002Fskills\u002Foctolens\u002FSKILL.md",[164,167],{"categoryNo":165,"categoryName":166,"taxonomyType":115,"taxonomyTypeDesc":116},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":168,"categoryName":169,"taxonomyType":170,"taxonomyTypeDesc":171},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[160,173,174,26,175,28,176,105,151,177,178,179,180,32,181,34,182,183,184,185],"bookmarks","engagement","filtering","read","linkedin","node","brand","analyze","Media","analysis","sentiment","sentiment analysis","social media",{"skillNo":187,"name":188,"nameZh":6,"description":189,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":190,"categories":191,"keywords":193,"publishedAt":39},"01M6CFEG2QX0E4Y9D5VFXWGQ2X","lmstudio-subagents","Reduces token usage from paid providers by offloading work to local LM Studio models. Use when: (1) Cutting costs—use local models for summarization, extraction, classification, rewriting, first-pass review, brainstorming when quality suffices, (2) Avoiding paid API calls for high-volume or repetitive tasks, (3) No extra model configuration—JIT loading and REST API work with existing LM Studio setup, (4) Local-only or privacy-sensitive work. Requires LM Studio 0.4+ with server (default :1234). No CLI required.","https:\u002F\u002Fgithub.com\u002Fsundial-org\u002Fawesome-openclaw-skills\u002Fblob\u002Fmain\u002Fskills\u002Flmstudio-subagents\u002FSKILL.md",[192],{"categoryNo":165,"categoryName":166,"taxonomyType":115,"taxonomyTypeDesc":116},[194,195,196,197,123,198,152,199,200,201,202,203,26,204,205,206,207,34,208,209],"lmstudio subagents","subagents","privacy","server","brainstorming","review","Local Models","default","models","only","work","quality","model","classification","first","REST",{"skillNo":211,"name":212,"nameZh":6,"description":213,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":214,"categories":215,"keywords":222,"publishedAt":39},"01M6CFC8KPHE8AVXX0DCMV8G7T","kubectl-skill","Execute and manage Kubernetes clusters via kubectl commands. Query resources, deploy applications, debug containers, manage configurations, and monitor cluster health. Use when working with Kubernetes clusters, containers, deployments, or pod diagnostics.","https:\u002F\u002Fgithub.com\u002Fsundial-org\u002Fawesome-openclaw-skills\u002Fblob\u002Fmain\u002Fskills\u002Fkubectl-skill\u002FSKILL.md",[216,219],{"categoryNo":217,"categoryName":218,"taxonomyType":115,"taxonomyTypeDesc":116},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":220,"categoryName":221,"taxonomyType":115,"taxonomyTypeDesc":116},"01JBSEEDCAT000000000000023","Skill与智能体开发",[223,224,225,157,226,227,26,228,229,230,231,232,233,234,147,150,235,236,237,238],"kubectl skill","kubectl","health","deployments","container","execute","applications","deployment","monitor","diagnostics","debug","deploy","kubernetes","docker","containers","gmail"]