{"slug":"yuan1z0825-nature-literature-pipeline","name":"nature-literature-pipeline","description":"Complete automated literature discovery pipeline: multi-source search → six-dimension scoring → fine reading → formatted delivery → archival.\nCombines a configurable engine with daily cron-driven application layer. Works with Feishu, Telegram, or any messaging platform.","long_description":"---\nname: nature-literature-pipeline\ndescription: |\n  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 / OpenAlex / Crossref / 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 / Abstract only / Metadata only\n  │\n  ├─ ④ DELIVER\n  │   Formatted digest to Feishu/Telegram/etc.\n  │   🏅 rank | title | journal | ⭐ score | 💡 one-liner\n  │   🔬 methods | 📊 key results | 🧭 commentary\n  │\n  └─ ⑤ ARCHIVE\n      DOI/arXiv 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/scoring-system.md`, `references/gap-analysis.md`, `references/note-template.md` |\n| **Application** | Daily cron pipeline, delivery formatting, archival workflow | `references/push-format.md`, `references/cron-setup.md`, `references/review-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/wiki directory\n\nA config template is provided in `templates/literature-push-template.md`.\n\n## Built-in Safeguards\n\n- **Score validation**: Each dimension capped, total recalculated — no 11/10 allowed\n- **Triple de-duplication**: DOI / arXiv ID / OpenAlex ID\n- **Graceful degradation**: Semantic Scholar down → auto-switch to OpenAlex + Crossref + arXiv\n- **Read-only archive**: Daily pipeline writes to `raw/` literature directory only; never modifies wiki/knowledge 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/scoring-system.md` | Six-dimension scoring rubric with weights, caps, and evaluation logic |\n| `references/gap-analysis.md` | Methodology for identifying research gaps through systematic literature survey |\n| `references/note-template.md` | Standardized literature note format with YAML frontmatter |\n| `references/push-format.md` | Daily digest message template with field guidelines and example |\n| `references/cron-setup.md` | Cron job creation, verification, and manual fallback procedures |\n| `references/review-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/` only; wiki integration is manual\n5. **Cron locality**: Hermes cron is local, not cloud — machine must be running\n","tagline":"Complete automated literature discovery pipeline: multi-source search → six-dimension scoring → fine reading → formatted delivery → archival.\nCombines a configurable engine with daily cron-driven application layer. 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agents","url":"https://www.openagentskill.com/use-cases/research-agents"}],"stacks":[{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"},{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"}],"install":"npx skills add Yuan1z0825/nature-skills --skill nature-literature-pipeline","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add yuan1z0825-nature-literature-pipeline","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"nature-literature-pipeline\" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-literature-pipeline. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"yuan1z0825-nature-literature-pipeline\",\"task\":\"Install nature-literature-pipeline\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"nature-literature-pipeline\" as a Claude Code skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-literature-pipeline. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"yuan1z0825-nature-literature-pipeline\",\"task\":\"Install nature-literature-pipeline\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"nature-literature-pipeline\" from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-literature-pipeline into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"yuan1z0825-nature-literature-pipeline\",\"task\":\"Install nature-literature-pipeline\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-literature-pipeline","github_repo":"Yuan1z0825/nature-skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/yuan1z0825-nature-literature-pipeline","repository":"https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-literature-pipeline","api":"/api/agent/skills/yuan1z0825-nature-literature-pipeline","install_api":"/api/skills/yuan1z0825-nature-literature-pipeline/install"},"meta":{"created_at":"2026-09-02T21:26:07.401958+00:00","updated_at":"2026-09-02T21:26:07.536621+00:00","agent_friendly":true}}