[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M73HD73GV953PV1H575QDVBP":3,"skill-same:01M73HD73GV953PV1H575QDVBP":77},{"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":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":39,"commitSha":40,"skillDirectory":41,"forksCount":42,"repositoryHtmlUrl":43,"repositoryHomepageUrl":44,"ownerHtmlUrl":45,"ownerBlogUrl":46,"ownerDescription":47,"updatedAt":48,"install":49,"resources":62},"01M73HD73GV953PV1H575QDVBP","nature-literature-pipeline",null,"Complete automated literature discovery pipeline: multi-source search → six-dimension scoring → fine reading → formatted delivery → archival. Combines a configurable engine with daily cron-driven application layer. Works with Feishu, Telegram, or any messaging platform.","bg-szy\u002FTOP-SKILLS","bg-szy","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F106576190?v=4","01M73A4E8KPV67SFXRY8XZGNBX","ShuZhiyong","01M73A4E96MQ294MHM74TZBVQD",6,"MIT","https:\u002F\u002Fgithub.com\u002Fbg-szy\u002FTOP-SKILLS\u002Fblob\u002Fmaster\u002Fskills\u002Fawesome-skills\u002Fnature-literature-pipeline\u002FSKILL.md",[],[],"2026-11-11 15:11:14",false,"---\nname: nature-literature-pipeline\ndescription: \"Complete automated literature discovery pipeline: multi-source search → six-dimension scoring → fine reading → formatted delivery → archival.\n  Combines a configurable engine with daily cron-driven application layer. Works with Feishu, Telegram, or any messaging platform.\"\nlicense: MIT\nmetadata:\n  author: Jiahao8595\n  hermes:\n    tags: [research, literature, pipeline, cron, automation, discovery]\n    related_skills: [nature-academic-search, nature-citation, arxiv, zotero]\n---\n\n# Nature Literature Pipeline\n\nA complete, production-tested automated literature pipeline. Not just \"search for papers\" — it's a structured engine that scores, classifies, reads, delivers, and archives research papers daily.\n\n## What It Does\n\n```\nCron (daily trigger, e.g. 08:30)\n  │\n  ├─ ① SEARCH (30 candidates)\n  │   arXiv \u002F OpenAlex \u002F Crossref \u002F Semantic Scholar (auto-degradation)\n  │\n  ├─ ② COARSE FILTER (30 → 5)\n  │   Six-dimension scoring: topic match × 35 + methodology × 20\n  │   + journal quality × 15 + network relevance × 10\n  │   + applied value × 10 + archival value × 10\n  │\n  ├─ ③ FINE READ (top 5)\n  │   Abstract-level or full-text. Source level tagged:\n  │   Full-text \u002F Abstract only \u002F Metadata only\n  │\n  ├─ ④ DELIVER\n  │   Formatted digest to Feishu\u002FTelegram\u002Fetc.\n  │   🏅 rank | title | journal | ⭐ score | 💡 one-liner\n  │   🔬 methods | 📊 key results | 🧭 commentary\n  │\n  └─ ⑤ ARCHIVE\n      DOI\u002FarXiv de-dup → classify → write notes → update index\n```\n\n## Quick Start\n\nAfter installing, tell your agent:\n\n```\nMy research area is [X], keywords: [Y], deliver to [feishu group name], archive to [path]\n```\n\nThe agent will configure keywords, delivery target, and archive path automatically.\n\nThen set up a daily cron job:\n\n```\nSet up a daily literature push at 08:30 Beijing time, 30 candidates, top 5 delivered\n```\n\n## Architecture\n\nThe skill is organized in two layers:\n\n| Layer | Purpose | Files |\n|-------|---------|-------|\n| **Engine** | Scoring, classification, note templates, gap analysis | `references\u002Fscoring-system.md`, `references\u002Fgap-analysis.md`, `references\u002Fnote-template.md` |\n| **Application** | Daily cron pipeline, delivery formatting, archival workflow | `references\u002Fpush-format.md`, `references\u002Fcron-setup.md`, `references\u002Freview-compilation-workflow.md` |\n\n## Configuration\n\nAll domain-specific content is configurable:\n\n- **Keywords** — your research keywords (English + Chinese)\n- **Scoring weights** — adjust the six dimensions for your field\n- **Classification rules** — define your own tier system (A-E or custom)\n- **Delivery target** — Feishu group, Telegram channel, email, etc.\n- **Archive path** — local vault\u002Fwiki directory\n\nA config template is provided in `templates\u002Fliterature-push-template.md`.\n\n## Built-in Safeguards\n\n- **Score validation**: Each dimension capped, total recalculated — no 11\u002F10 allowed\n- **Triple de-duplication**: DOI \u002F arXiv ID \u002F OpenAlex ID\n- **Graceful degradation**: Semantic Scholar down → auto-switch to OpenAlex + Crossref + arXiv\n- **Read-only archive**: Daily pipeline writes to `raw\u002F` literature directory only; never modifies wiki\u002Fknowledge base without user approval\n\n## Related Skills\n\n- `nature-academic-search` — ad-hoc literature search (complementary; this skill adds structured daily automation)\n- `nature-citation` — CNS citation export (for importing pipeline discoveries into manuscripts)\n- `zotero` — library management (for long-term organization of pipeline outputs)\n- `arxiv` — arXiv API (used as a search source)\n\n## References\n\n| Reference | Purpose |\n|-----------|---------|\n| `references\u002Fscoring-system.md` | Six-dimension scoring rubric with weights, caps, and evaluation logic |\n| `references\u002Fgap-analysis.md` | Methodology for identifying research gaps through systematic literature survey |\n| `references\u002Fnote-template.md` | Standardized literature note format with YAML frontmatter |\n| `references\u002Fpush-format.md` | Daily digest message template with field guidelines and example |\n| `references\u002Fcron-setup.md` | Cron job creation, verification, and manual fallback procedures |\n| `references\u002Freview-compilation-workflow.md` | End-to-end workflow for concentrated literature review writing |\n\n## Pitfalls\n\n1. **Keyword drift**: Review keywords monthly — research directions evolve\n2. **Score inflation**: Subagents may inflate scores; always validate arithmetic\n3. **Duplicate creep**: Classic papers will reappear; maintain a dedup index\n4. **Wiki safety**: Pipeline writes to `raw\u002F` only; wiki integration is manual\n5. **Cron locality**: Hermes cron is local, not cloud — machine must be running\n","# Nature Literature Pipeline\n\nA complete, production-tested automated literature pipeline. Not just \"search for papers\" — it's a structured engine that scores, classifies, reads, delivers, and archives research papers daily.\n\n## What It Does\n\n```\nCron (daily trigger, e.g. 08:30)\n  │\n  ├─ ① SEARCH (30 candidates)\n  │   arXiv \u002F OpenAlex \u002F Crossref \u002F Semantic Scholar (auto-degradation)\n  │\n  ├─ ② COARSE FILTER (30 → 5)\n  │   Six-dimension scoring: topic match × 35 + methodology × 20\n  │   + journal quality × 15 + network relevance × 10\n  │   + applied value × 10 + archival value × 10\n  │\n  ├─ ③ FINE READ (top 5)\n  │   Abstract-level or full-text. Source level tagged:\n  │   Full-text \u002F Abstract only \u002F Metadata only\n  │\n  ├─ ④ DELIVER\n  │   Formatted digest to Feishu\u002FTelegram\u002Fetc.\n  │   🏅 rank | title | journal | ⭐ score | 💡 one-liner\n  │   🔬 methods | 📊 key results | 🧭 commentary\n  │\n  └─ ⑤ ARCHIVE\n      DOI\u002FarXiv de-dup → classify → write notes → update index\n```\n\n## Quick Start\n\nAfter installing, tell your agent:\n\n```\nMy research area is [X], keywords: [Y], deliver to [feishu group name], archive to [path]\n```\n\nThe agent will configure keywords, delivery target, and archive path automatically.\n\nThen set up a daily cron job:\n\n```\nSet up a daily literature push at 08:30 Beijing time, 30 candidates, top 5 delivered\n```\n\n## Architecture\n\nThe skill is organized in two layers:\n\n| Layer | Purpose | Files |\n|-------|---------|-------|\n| **Engine** | Scoring, classification, note templates, gap analysis | `references\u002Fscoring-system.md`, `references\u002Fgap-analysis.md`, `references\u002Fnote-template.md` |\n| **Application** | Daily cron pipeline, delivery formatting, archival workflow | `references\u002Fpush-format.md`, `references\u002Fcron-setup.md`, `references\u002Freview-compilation-workflow.md` |\n\n## Configuration\n\nAll domain-specific content is configurable:\n\n- **Keywords** — your research keywords (English + Chinese)\n- **Scoring weights** — adjust the six dimensions for your field\n- **Classification rules** — define your own tier system (A-E or custom)\n- **Delivery target** — Feishu group, Telegram channel, email, etc.\n- **Archive path** — local vault\u002Fwiki directory\n\nA config template is provided in `templates\u002Fliterature-push-template.md`.\n\n## Built-in Safeguards\n\n- **Score validation**: Each dimension capped, total recalculated — no 11\u002F10 allowed\n- **Triple de-duplication**: DOI \u002F arXiv ID \u002F OpenAlex ID\n- **Graceful degradation**: Semantic Scholar down → auto-switch to OpenAlex + Crossref + arXiv\n- **Read-only archive**: Daily pipeline writes to `raw\u002F` literature directory only; never modifies wiki\u002Fknowledge base without user approval\n\n## Related Skills\n\n- `nature-academic-search` — ad-hoc literature search (complementary; this skill adds structured daily automation)\n- `nature-citation` — CNS citation export (for importing pipeline discoveries into manuscripts)\n- `zotero` — library management (for long-term organization of pipeline outputs)\n- `arxiv` — arXiv API (used as a search source)\n\n## References\n\n| Reference | Purpose |\n|-----------|---------|\n| `references\u002Fscoring-system.md` | Six-dimension scoring rubric with weights, caps, and evaluation logic |\n| `references\u002Fgap-analysis.md` | Methodology for identifying research gaps through systematic literature survey |\n| `references\u002Fnote-template.md` | Standardized literature note format with YAML frontmatter |\n| `references\u002Fpush-format.md` | Daily digest message template with field guidelines and example |\n| `references\u002Fcron-setup.md` | Cron job creation, verification, and manual fallback procedures |\n| `references\u002Freview-compilation-workflow.md` | End-to-end workflow for concentrated literature review writing |\n\n## Pitfalls\n\n1. **Keyword drift**: Review keywords monthly — research directions evolve\n2. **Score inflation**: Subagents may inflate scores; always validate arithmetic\n3. **Duplicate creep**: Classic papers will reappear; maintain a dedup index\n4. **Wiki safety**: Pipeline writes to `raw\u002F` only; wiki integration is manual\n5. **Cron locality**: Hermes cron is local, not cloud — machine must be running\n",{"name":5,"license":15,"metadata":24,"description":7},{"author":25,"hermes":26},"Jiahao8595",{"tags":27,"related_skills":34},[28,29,30,31,32,33],"research","literature","pipeline","cron","automation","discovery",[35,36,37,38],"nature-academic-search","nature-citation","arxiv","zotero","master","fd76f882a04e445e899d5cfb2732f2105ea054ee","skills\u002Fawesome-skills\u002Fnature-literature-pipeline",0,"https:\u002F\u002Fgithub.com\u002Fbg-szy\u002FTOP-SKILLS","https:\u002F\u002Fbg-szy.github.io\u002FTOP-SKILLS\u002F","https:\u002F\u002Fgithub.com\u002Fbg-szy","https:\u002F\u002Fwww.ecust.edu.cn\u002F","a student of East China University of Science and Technology","2026-11-12 05:55:03",{"source":8,"skillName":5,"commands":50,"prompt":60,"zipAvailable":61},[51,54,57],{"tool":52,"command":53},"npx","npx skills add bg-szy\u002FTOP-SKILLS --skill nature-literature-pipeline",{"tool":55,"command":56},"bunx","bunx skills add bg-szy\u002FTOP-SKILLS --skill nature-literature-pipeline",{"tool":58,"command":59},"pnpm","pnpm dlx skills add bg-szy\u002FTOP-SKILLS --skill nature-literature-pipeline","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fbg-szy\u002FTOP-SKILLS\u002Fblob\u002Fmaster\u002Fskills\u002Fawesome-skills\u002Fnature-literature-pipeline\u002FSKILL.md",true,[63,69,73],{"path":64,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":67,"sourceHtmlUrl":68},"manifest.yaml","REFERENCE","参考文档",1691,"https:\u002F\u002Fgithub.com\u002Fbg-szy\u002FTOP-SKILLS\u002Fblob\u002Fmaster\u002Fskills\u002Fawesome-skills\u002Fnature-literature-pipeline\u002Fmanifest.yaml",{"path":70,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":71,"sourceHtmlUrl":72},"README_EN.md",2340,"https:\u002F\u002Fgithub.com\u002Fbg-szy\u002FTOP-SKILLS\u002Fblob\u002Fmaster\u002Fskills\u002Fawesome-skills\u002Fnature-literature-pipeline\u002FREADME_EN.md",{"path":74,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":75,"sourceHtmlUrl":76},"README.md",2111,"https:\u002F\u002Fgithub.com\u002Fbg-szy\u002FTOP-SKILLS\u002Fblob\u002Fmaster\u002Fskills\u002Fawesome-skills\u002Fnature-literature-pipeline\u002FREADME.md",[78,85,92,101,109,117],{"skillNo":79,"name":80,"nameZh":6,"description":81,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":82,"categories":83,"keywords":84,"publishedAt":19},"01M748C5DS5BQBVBMG22FCGG34","branding","When the user wants to define, audit, or apply brand strategy—purpose, values, positioning, storytelling, voice, narrative (not only visuals). Also use when the user mentions \"brand strategy\", \"brand story\", \"brand storytelling\" or \"brand voice\". For typography, colors, design tokens, and frontend visuals, use brand-visual-generator.","https:\u002F\u002Fgithub.com\u002Fbg-szy\u002FTOP-SKILLS\u002Fblob\u002Fmaster\u002Fskills\u002Fsuperskills\u002Fbranding\u002FSKILL.md",[],[],{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":89,"categories":90,"keywords":91,"publishedAt":19},"01M748C1GXJ9WRKP18X45DKP6G","brand-visual-generator","When the user wants to define, audit, or apply visual identity (typography, colors, spacing, design tokens, frontend aesthetics). Also use when the user mentions \"brand style guide\", \"visual identity\", \"design system\" or \"typography\". For brand story, positioning, and voice, use branding.","https:\u002F\u002Fgithub.com\u002Fbg-szy\u002FTOP-SKILLS\u002Fblob\u002Fmaster\u002Fskills\u002Fsuperskills\u002Fbrand-visual-generator\u002FSKILL.md",[],[],{"skillNo":93,"name":94,"nameZh":6,"description":95,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":96,"licenseFileUrl":97,"sourceHtmlUrl":98,"categories":99,"keywords":100,"publishedAt":19},"01M747T565TFEP3RAVWM0Y899Y","mcp-builder","Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node\u002FTypeScript (MCP SDK).","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fbg-szy\u002FTOP-SKILLS\u002Fblob\u002Fmaster\u002Fskills\u002Fskills\u002Fmcp-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fbg-szy\u002FTOP-SKILLS\u002Fblob\u002Fmaster\u002Fskills\u002Fskills\u002Fmcp-builder\u002FSKILL.md",[],[],{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":96,"licenseFileUrl":105,"sourceHtmlUrl":106,"categories":107,"keywords":108,"publishedAt":19},"01M747RAJGMBZ2QN4563STB5SH","frontend-design","Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.","https:\u002F\u002Fgithub.com\u002Fbg-szy\u002FTOP-SKILLS\u002Fblob\u002Fmaster\u002Fskills\u002Fskills\u002Ffrontend-design\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fbg-szy\u002FTOP-SKILLS\u002Fblob\u002Fmaster\u002Fskills\u002Fskills\u002Ffrontend-design\u002FSKILL.md",[],[],{"skillNo":110,"name":111,"nameZh":6,"description":112,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":96,"licenseFileUrl":113,"sourceHtmlUrl":114,"categories":115,"keywords":116,"publishedAt":19},"01M747NHAY5BE9GXEB31H255R1","claude-api","Reference for the Claude API \u002F Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.\nTRIGGER — read BEFORE opening the target file; don't skip because it \"looks like a one-liner\" — whenever: the prompt names Claude\u002FAnthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing\u002Fmodel choice\u002Flimits\u002Fcaching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent\u002FMCP\u002Ftool-definition\u002Fmulti-agent\u002FRAG\u002FLLM-judge\u002Fcomputer-use; generate\u002Fsummarize\u002Fextract\u002Fclassify\u002Frewrite\u002Fconverse over NL; debugging refusals\u002Fcutoffs\u002Fstreaming\u002Ftool-calls\u002Ftokens).\nSKIP only when another provider is being worked on (overrides all triggers): OpenAI\u002FGPT\u002FGemini\u002FLlama\u002FMistral\u002FCohere\u002FOllama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).","https:\u002F\u002Fgithub.com\u002Fbg-szy\u002FTOP-SKILLS\u002Fblob\u002Fmaster\u002Fskills\u002Fskills\u002Fclaude-api\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fbg-szy\u002FTOP-SKILLS\u002Fblob\u002Fmaster\u002Fskills\u002Fskills\u002Fclaude-api\u002FSKILL.md",[],[],{"skillNo":118,"name":119,"nameZh":6,"description":120,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":121,"sourceHtmlUrl":122,"categories":123,"keywords":124,"publishedAt":19},"01M73WM4TPHEJ57D7G2AZ0ABVT","inbox-guardian-for-gmail","Review a personal Gmail inbox with local, owner-approved spam rules. Use for audit-first quarantine, Trash, repeated-evidence sender learning, and header review. Do not use for automatic unsubscribe requests or unreviewed mailbox actions.","https:\u002F\u002Fgithub.com\u002Fbg-szy\u002FTOP-SKILLS\u002Fblob\u002Fmaster\u002Fskills\u002Fmarketplace\u002Finbox-guardian-for-gmail\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fbg-szy\u002FTOP-SKILLS\u002Fblob\u002Fmaster\u002Fskills\u002Fmarketplace\u002Finbox-guardian-for-gmail\u002FSKILL.md",[],[]]