[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6N9KFQZ7PB8VWARF2V92T0E":3,"skill-same:01M6N9KFQZ7PB8VWARF2V92T0E":92},{"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":22,"publishedAt":42,"linkOnly":43,"markdownContent":44,"markdownBody":45,"frontMatter":46,"refName":50,"commitSha":51,"skillDirectory":52,"forksCount":13,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":55,"install":56,"resources":69},"01M6N9KFQZ7PB8VWARF2V92T0E","last30days",null,"Research topics, manage watchlists, get briefings, query history. Also triggered by 'last30'. Sources: Reddit, X, YouTube, web.","sasakiblog26-lgtm\u002Flast30days-skill","sasakiblog26-lgtm","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F265274360?v=4","01M6N9J05WDNT16VT5QC96S6JE","01M6N9J0AB85B7P975FQV4RK2F",0,"MIT","https:\u002F\u002Fgithub.com\u002Fsasakiblog26-lgtm\u002Flast30days-skill\u002Fblob\u002Fmain\u002Fvariants\u002Fopen\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[5,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41],"query","topics","briefings","ai video","websearch","briefing","sources","last30","get","me","research","reddit","manage","youtube","history","Bash","open","Video","web","2026-11-10 10:12:30",false,"---\nname: last30days\nversion: \"2.1-open\"\ndescription: \"Research topics, manage watchlists, get briefings, query history. Also triggered by 'last30'. Sources: Reddit, X, YouTube, web.\"\nargument-hint: 'last30 AI video tools, last30 watch my competitor every week, last30 give me my briefing'\nallowed-tools: Bash, Read, Write, AskUserQuestion, WebSearch\n---\n\n# last30days (open variant): Research + Watchlist + Briefings\n\nMulti-mode research skill with persistent knowledge accumulation.\n\n## Command Routing\n\nParse the user's first argument to determine the mode:\n\n| First word | Mode | Reference |\n|---|---|---|\n| `watch` | Watchlist management | `references\u002Fwatchlist.md` |\n| `briefing` | Morning briefing | `references\u002Fbriefing.md` |\n| `history` | Query accumulated knowledge | `references\u002Fhistory.md` |\n| *(anything else)* | One-shot research | `references\u002Fresearch.md` |\n\n## Setup: Find Skill Root\n\n```bash\nfor dir in \\\n  \".\" \\\n  \"${CLAUDE_PLUGIN_ROOT:-}\" \\\n  \"${GEMINI_EXTENSION_DIR:-}\" \\\n  \"$HOME\u002F.gemini\u002Fextensions\u002Flast30days-skill\" \\\n  \"$HOME\u002F.gemini\u002Fextensions\u002Flast30days\" \\\n  \"$HOME\u002F.claude\u002Fskills\u002Flast30days\" \\\n  \"$HOME\u002F.agents\u002Fskills\u002Flast30days\" \\\n  \"$HOME\u002F.codex\u002Fskills\u002Flast30days\"; do\n  [ -n \"$dir\" ] && [ -f \"$dir\u002Fscripts\u002Flast30days.py\" ] && SKILL_ROOT=\"$dir\" && break\ndone\n\nif [ -z \"${SKILL_ROOT:-}\" ]; then\n  echo \"ERROR: Could not find scripts\u002Flast30days.py\" >&2\n  exit 1\nfi\n```\n\nUse `$SKILL_ROOT` for all script and reference file paths.\n\n## Load Context\n\nAt session start, read `${SKILL_ROOT}\u002Fvariants\u002Fopen\u002Fcontext.md` for user preferences and source quality notes. Update it after interactions.\n\n## Shared Configuration\n\n- **Database**: `~\u002F.local\u002Fshare\u002Flast30days\u002Fresearch.db` (SQLite, WAL mode)\n- **Briefings**: `~\u002F.local\u002Fshare\u002Flast30days\u002Fbriefs\u002F`\n- **API keys**: `~\u002F.config\u002Flast30days\u002F.env` or environment variables\n- **Key priority**: env vars > config file\n\n### API Keys\n\n| Key | Required | Purpose |\n|---|---|---|\n| `OPENAI_API_KEY` | For Reddit | Reddit search via OpenAI responses API |\n| `XAI_API_KEY` | For X (fallback) | X search via xAI Grok API |\n| `PARALLEL_API_KEY` | Optional | Web search via Parallel AI |\n| `BRAVE_API_KEY` | Optional | Web search via Brave Search |\n| `OPENROUTER_API_KEY` | Optional | Web search via Perplexity Sonar Pro |\n\nBird CLI provides free X search if installed. YouTube search uses yt-dlp (free).\n\nRun `python3 \"${SKILL_ROOT}\u002Fscripts\u002Flast30days.py\" --diagnose` to check source availability.\n\n## Routing Logic\n\nAfter determining the mode, **read the corresponding reference file** using the Read tool:\n\n```\nRead: ${SKILL_ROOT}\u002Fvariants\u002Fopen\u002Freferences\u002F{mode}.md\n```\n\nThen follow the instructions in that reference file exactly.\n","# last30days (open variant): Research + Watchlist + Briefings\n\nMulti-mode research skill with persistent knowledge accumulation.\n\n## Command Routing\n\nParse the user's first argument to determine the mode:\n\n| First word | Mode | Reference |\n|---|---|---|\n| `watch` | Watchlist management | `references\u002Fwatchlist.md` |\n| `briefing` | Morning briefing | `references\u002Fbriefing.md` |\n| `history` | Query accumulated knowledge | `references\u002Fhistory.md` |\n| *(anything else)* | One-shot research | `references\u002Fresearch.md` |\n\n## Setup: Find Skill Root\n\n```bash\nfor dir in \\\n  \".\" \\\n  \"${CLAUDE_PLUGIN_ROOT:-}\" \\\n  \"${GEMINI_EXTENSION_DIR:-}\" \\\n  \"$HOME\u002F.gemini\u002Fextensions\u002Flast30days-skill\" \\\n  \"$HOME\u002F.gemini\u002Fextensions\u002Flast30days\" \\\n  \"$HOME\u002F.claude\u002Fskills\u002Flast30days\" \\\n  \"$HOME\u002F.agents\u002Fskills\u002Flast30days\" \\\n  \"$HOME\u002F.codex\u002Fskills\u002Flast30days\"; do\n  [ -n \"$dir\" ] && [ -f \"$dir\u002Fscripts\u002Flast30days.py\" ] && SKILL_ROOT=\"$dir\" && break\ndone\n\nif [ -z \"${SKILL_ROOT:-}\" ]; then\n  echo \"ERROR: Could not find scripts\u002Flast30days.py\" >&2\n  exit 1\nfi\n```\n\nUse `$SKILL_ROOT` for all script and reference file paths.\n\n## Load Context\n\nAt session start, read `${SKILL_ROOT}\u002Fvariants\u002Fopen\u002Fcontext.md` for user preferences and source quality notes. Update it after interactions.\n\n## Shared Configuration\n\n- **Database**: `~\u002F.local\u002Fshare\u002Flast30days\u002Fresearch.db` (SQLite, WAL mode)\n- **Briefings**: `~\u002F.local\u002Fshare\u002Flast30days\u002Fbriefs\u002F`\n- **API keys**: `~\u002F.config\u002Flast30days\u002F.env` or environment variables\n- **Key priority**: env vars > config file\n\n### API Keys\n\n| Key | Required | Purpose |\n|---|---|---|\n| `OPENAI_API_KEY` | For Reddit | Reddit search via OpenAI responses API |\n| `XAI_API_KEY` | For X (fallback) | X search via xAI Grok API |\n| `PARALLEL_API_KEY` | Optional | Web search via Parallel AI |\n| `BRAVE_API_KEY` | Optional | Web search via Brave Search |\n| `OPENROUTER_API_KEY` | Optional | Web search via Perplexity Sonar Pro |\n\nBird CLI provides free X search if installed. YouTube search uses yt-dlp (free).\n\nRun `python3 \"${SKILL_ROOT}\u002Fscripts\u002Flast30days.py\" --diagnose` to check source availability.\n\n## Routing Logic\n\nAfter determining the mode, **read the corresponding reference file** using the Read tool:\n\n```\nRead: ${SKILL_ROOT}\u002Fvariants\u002Fopen\u002Freferences\u002F{mode}.md\n```\n\nThen follow the instructions in that reference file exactly.\n",{"name":5,"version":47,"description":7,"allowed-tools":48,"argument-hint":49},"2.1-open","Bash, Read, Write, AskUserQuestion, WebSearch","last30 AI video tools, last30 watch my competitor every week, last30 give me my briefing","main","61904b31e3ec16ce5bee77710196ecbd1129c5df","variants\u002Fopen","https:\u002F\u002Fgithub.com\u002Fsasakiblog26-lgtm\u002Flast30days-skill","https:\u002F\u002Fgithub.com\u002Fsasakiblog26-lgtm","2026-04-06 07:16:13",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add sasakiblog26-lgtm\u002Flast30days-skill --skill last30days",{"tool":62,"command":63},"bunx","bunx skills add sasakiblog26-lgtm\u002Flast30days-skill --skill last30days",{"tool":65,"command":66},"pnpm","pnpm dlx skills add sasakiblog26-lgtm\u002Flast30days-skill --skill last30days","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsasakiblog26-lgtm\u002Flast30days-skill\u002Fblob\u002Fmain\u002Fvariants\u002Fopen\u002FSKILL.md",true,[70,76,80,84,88],{"path":71,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":74,"sourceHtmlUrl":75},"context.md","REFERENCE","参考文档",634,"https:\u002F\u002Fgithub.com\u002Fsasakiblog26-lgtm\u002Flast30days-skill\u002Fblob\u002Fmain\u002Fvariants\u002Fopen\u002Fcontext.md",{"path":77,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":78,"sourceHtmlUrl":79},"references\u002Fbriefing.md",1854,"https:\u002F\u002Fgithub.com\u002Fsasakiblog26-lgtm\u002Flast30days-skill\u002Fblob\u002Fmain\u002Fvariants\u002Fopen\u002Freferences\u002Fbriefing.md",{"path":81,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":82,"sourceHtmlUrl":83},"references\u002Fhistory.md",2096,"https:\u002F\u002Fgithub.com\u002Fsasakiblog26-lgtm\u002Flast30days-skill\u002Fblob\u002Fmain\u002Fvariants\u002Fopen\u002Freferences\u002Fhistory.md",{"path":85,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":86,"sourceHtmlUrl":87},"references\u002Fresearch.md",5242,"https:\u002F\u002Fgithub.com\u002Fsasakiblog26-lgtm\u002Flast30days-skill\u002Fblob\u002Fmain\u002Fvariants\u002Fopen\u002Freferences\u002Fresearch.md",{"path":89,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":90,"sourceHtmlUrl":91},"references\u002Fwatchlist.md",2897,"https:\u002F\u002Fgithub.com\u002Fsasakiblog26-lgtm\u002Flast30days-skill\u002Fblob\u002Fmain\u002Fvariants\u002Fopen\u002Freferences\u002Fwatchlist.md",[93,98],{"skillNo":94,"name":5,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":97,"publishedAt":42},"01M6N9KC3PSK5JW4RCA9N6DDMR","https:\u002F\u002Fgithub.com\u002Fsasakiblog26-lgtm\u002Flast30days-skill\u002Fblob\u002Fmain\u002Fskills\u002Flast30days\u002FSKILL.md",[],[5],{"skillNo":99,"name":5,"nameZh":6,"description":100,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":101,"categories":102,"keywords":110,"publishedAt":42},"01M6N9J9FRWBPQ249CT5SWGAD9","Deep research engine covering the last 30 days across 10+ sources - Reddit, X\u002FTwitter, YouTube, TikTok, Instagram, Hacker News, Polymarket, and the web. AI synthesizes findings into grounded, cited reports.","https:\u002F\u002Fgithub.com\u002Fsasakiblog26-lgtm\u002Flast30days-skill\u002Fblob\u002Fmain\u002FSKILL.md",[103,106,107],{"categoryNo":104,"categoryName":105,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":108,"categoryName":109,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[5,36,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,40,127],"hacker","apify","brave","bsky","app","project","deep","news","tiktok","clawhub","write","read","python3","parallel","engine","Media","search"]