[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6M0ETVDECRPHR60DNNDPWAM":3,"skill-same:01M6M0ETVDECRPHR60DNNDPWAM":129},{"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":25,"publishedAt":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":55,"commitSha":56,"skillDirectory":57,"forksCount":13,"repositoryHtmlUrl":58,"repositoryHomepageUrl":6,"ownerHtmlUrl":59,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":60,"install":61,"resources":74},"01M6M0ETVDECRPHR60DNNDPWAM","pyzotero",null,"Interact with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.","endman100\u002Fskill-router-nexus","endman100","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F31997019?v=4","01M6KPDX17BYDWW4RRB0TNGGMX","01M6KPDX64Y2QBEWVFG5W5PWPF",0,"MIT","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FScience\u002Fresearch-and-communication\u002Fpyzotero\u002FSKILL.md",[17,22],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000010","后端与接口",[5,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"Bash","when","web api","research automation","automation workflows","references","integrate","edit","write","read","PDF","api","Citations","library","update","delete","create","libraries","workflows","python","2026-11-10 10:12:30",false,"---\nname: pyzotero\ndescription: Interact with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.\nallowed-tools: Read Write Edit Bash\nlicense: MIT License\nmetadata:\n    skill-author: K-Dense Inc.\n---\n\n# Pyzotero\n\nPyzotero is a Python wrapper for the [Zotero API v3](https:\u002F\u002Fwww.zotero.org\u002Fsupport\u002Fdev\u002Fweb_api\u002Fv3\u002Fstart). Use it to programmatically manage Zotero libraries: read items and collections, create and update references, upload attachments, manage tags, and export citations.\n\n## Authentication Setup\n\n**Required credentials** — get from https:\u002F\u002Fwww.zotero.org\u002Fsettings\u002Fkeys:\n- **User ID**: shown as \"Your userID for use in API calls\"\n- **API Key**: create at https:\u002F\u002Fwww.zotero.org\u002Fsettings\u002Fkeys\u002Fnew\n- **Library ID**: for group libraries, the integer after `\u002Fgroups\u002F` in the group URL\n\nStore credentials in environment variables or a `.env` file:\n```\nZOTERO_LIBRARY_ID=your_user_id\nZOTERO_API_KEY=your_api_key\nZOTERO_LIBRARY_TYPE=user  # or \"group\"\n```\n\nSee [references\u002Fauthentication.md](references\u002Fauthentication.md) for full setup details.\n\n## Installation\n\n```bash\nuv add pyzotero\n# or with CLI support:\nuv add \"pyzotero[cli]\"\n```\n\n## Quick Start\n\n```python\nfrom pyzotero import Zotero\n\nzot = Zotero(library_id='123456', library_type='user', api_key='ABC1234XYZ')\n\n# Retrieve top-level items (returns 100 by default)\nitems = zot.top(limit=10)\nfor item in items:\n    print(item['data']['title'], item['data']['itemType'])\n\n# Search by keyword\nresults = zot.items(q='machine learning', limit=20)\n\n# Retrieve all items (use everything() for complete results)\nall_items = zot.everything(zot.items())\n```\n\n## Core Concepts\n\n- A `Zotero` instance is bound to a single library (user or group). All methods operate on that library.\n- Item data lives in `item['data']`. Access fields like `item['data']['title']`, `item['data']['creators']`.\n- Pyzotero returns 100 items by default (API default is 25). Use `zot.everything(zot.items())` to get all items.\n- Write methods return `True` on success or raise a `ZoteroError`.\n\n## Reference Files\n\n| File | Contents |\n|------|----------|\n| [references\u002Fauthentication.md](references\u002Fauthentication.md) | Credentials, library types, local mode |\n| [references\u002Fread-api.md](references\u002Fread-api.md) | Retrieving items, collections, tags, groups |\n| [references\u002Fsearch-params.md](references\u002Fsearch-params.md) | Filtering, sorting, search parameters |\n| [references\u002Fwrite-api.md](references\u002Fwrite-api.md) | Creating, updating, deleting items |\n| [references\u002Fcollections.md](references\u002Fcollections.md) | Collection CRUD operations |\n| [references\u002Ftags.md](references\u002Ftags.md) | Tag retrieval and management |\n| [references\u002Ffiles-attachments.md](references\u002Ffiles-attachments.md) | File retrieval and attachment uploads |\n| [references\u002Fexports.md](references\u002Fexports.md) | BibTeX, CSL-JSON, bibliography export |\n| [references\u002Fpagination.md](references\u002Fpagination.md) | follow(), everything(), generators |\n| [references\u002Ffull-text.md](references\u002Ffull-text.md) | Full-text content indexing and retrieval |\n| [references\u002Fsaved-searches.md](references\u002Fsaved-searches.md) | Saved search management |\n| [references\u002Fcli.md](references\u002Fcli.md) | Command-line interface usage |\n| [references\u002Ferror-handling.md](references\u002Ferror-handling.md) | Errors and exception handling |\n\n## Common Patterns\n\n### Fetch and modify an item\n```python\nitem = zot.item('ITEMKEY')\nitem['data']['title'] = 'New Title'\nzot.update_item(item)\n```\n\n### Create an item from a template\n```python\ntemplate = zot.item_template('journalArticle')\ntemplate['title'] = 'My Paper'\ntemplate['creators'][0] = {'creatorType': 'author', 'firstName': 'Jane', 'lastName': 'Doe'}\nzot.create_items([template])\n```\n\n### Export as BibTeX\n```python\nzot.add_parameters(format='bibtex')\nbibtex = zot.top(limit=50)\n# bibtex is a bibtexparser BibDatabase object\nprint(bibtex.entries)\n```\n\n### Local mode (read-only, no API key needed)\n```python\nzot = Zotero(library_id='123456', library_type='user', local=True)\nitems = zot.items()\n```\n","# Pyzotero\n\nPyzotero is a Python wrapper for the [Zotero API v3](https:\u002F\u002Fwww.zotero.org\u002Fsupport\u002Fdev\u002Fweb_api\u002Fv3\u002Fstart). Use it to programmatically manage Zotero libraries: read items and collections, create and update references, upload attachments, manage tags, and export citations.\n\n## Authentication Setup\n\n**Required credentials** — get from https:\u002F\u002Fwww.zotero.org\u002Fsettings\u002Fkeys:\n- **User ID**: shown as \"Your userID for use in API calls\"\n- **API Key**: create at https:\u002F\u002Fwww.zotero.org\u002Fsettings\u002Fkeys\u002Fnew\n- **Library ID**: for group libraries, the integer after `\u002Fgroups\u002F` in the group URL\n\nStore credentials in environment variables or a `.env` file:\n```\nZOTERO_LIBRARY_ID=your_user_id\nZOTERO_API_KEY=your_api_key\nZOTERO_LIBRARY_TYPE=user  # or \"group\"\n```\n\nSee [references\u002Fauthentication.md](references\u002Fauthentication.md) for full setup details.\n\n## Installation\n\n```bash\nuv add pyzotero\n# or with CLI support:\nuv add \"pyzotero[cli]\"\n```\n\n## Quick Start\n\n```python\nfrom pyzotero import Zotero\n\nzot = Zotero(library_id='123456', library_type='user', api_key='ABC1234XYZ')\n\n# Retrieve top-level items (returns 100 by default)\nitems = zot.top(limit=10)\nfor item in items:\n    print(item['data']['title'], item['data']['itemType'])\n\n# Search by keyword\nresults = zot.items(q='machine learning', limit=20)\n\n# Retrieve all items (use everything() for complete results)\nall_items = zot.everything(zot.items())\n```\n\n## Core Concepts\n\n- A `Zotero` instance is bound to a single library (user or group). All methods operate on that library.\n- Item data lives in `item['data']`. Access fields like `item['data']['title']`, `item['data']['creators']`.\n- Pyzotero returns 100 items by default (API default is 25). Use `zot.everything(zot.items())` to get all items.\n- Write methods return `True` on success or raise a `ZoteroError`.\n\n## Reference Files\n\n| File | Contents |\n|------|----------|\n| [references\u002Fauthentication.md](references\u002Fauthentication.md) | Credentials, library types, local mode |\n| [references\u002Fread-api.md](references\u002Fread-api.md) | Retrieving items, collections, tags, groups |\n| [references\u002Fsearch-params.md](references\u002Fsearch-params.md) | Filtering, sorting, search parameters |\n| [references\u002Fwrite-api.md](references\u002Fwrite-api.md) | Creating, updating, deleting items |\n| [references\u002Fcollections.md](references\u002Fcollections.md) | Collection CRUD operations |\n| [references\u002Ftags.md](references\u002Ftags.md) | Tag retrieval and management |\n| [references\u002Ffiles-attachments.md](references\u002Ffiles-attachments.md) | File retrieval and attachment uploads |\n| [references\u002Fexports.md](references\u002Fexports.md) | BibTeX, CSL-JSON, bibliography export |\n| [references\u002Fpagination.md](references\u002Fpagination.md) | follow(), everything(), generators |\n| [references\u002Ffull-text.md](references\u002Ffull-text.md) | Full-text content indexing and retrieval |\n| [references\u002Fsaved-searches.md](references\u002Fsaved-searches.md) | Saved search management |\n| [references\u002Fcli.md](references\u002Fcli.md) | Command-line interface usage |\n| [references\u002Ferror-handling.md](references\u002Ferror-handling.md) | Errors and exception handling |\n\n## Common Patterns\n\n### Fetch and modify an item\n```python\nitem = zot.item('ITEMKEY')\nitem['data']['title'] = 'New Title'\nzot.update_item(item)\n```\n\n### Create an item from a template\n```python\ntemplate = zot.item_template('journalArticle')\ntemplate['title'] = 'My Paper'\ntemplate['creators'][0] = {'creatorType': 'author', 'firstName': 'Jane', 'lastName': 'Doe'}\nzot.create_items([template])\n```\n\n### Export as 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Writing-DNA.md；按该 DNA 写作时会读取全部蒸馏产物和 5 篇相关原文。用于中英文作者、账号、品牌或出版物的风格分析与一致性写作。 Distill reusable Writing DNA from at least 20 complete articles for Chinese or English authors, publications, brands, and accounts; use for language, structure, topic logic, source strategy, cognitive-frame, and visual-style analysis.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fwriting-dna-skill\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fwriting-dna-skill\u002FSKILL.md",[156,159,162],{"categoryNo":157,"categoryName":158,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":160,"categoryName":161,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":163,"categoryName":164,"taxonomyType":140,"taxonomyTypeDesc":141},"01JBSEEDCAT000000000000036","内容创作者",[166,167,168,169,170,171,172,173,174,175,176,177,178,145,179,180,181,182,183,184],"writing dna 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Use when drafting, editing, or reviewing text to eliminate predictable AI tells.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fstop-slop\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fstop-slop\u002FSKILL.md",[192,193],{"categoryNo":157,"categoryName":158,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":163,"categoryName":164,"taxonomyType":140,"taxonomyTypeDesc":141},[195,196,197,198,27,199,200,201,202,176,203,204,205,182,206,168],"slop","stop slop","stop","drafting","drafts","https","patterns","prose","remove","editing","text","content",{"skillNo":208,"name":209,"nameZh":6,"description":210,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":211,"sourceHtmlUrl":212,"categories":213,"keywords":214,"publishedAt":46},"01M6M41X0B7EBX42TK435DMGGR","shuorenhua","检查和清理中英文文本里的 AI 套路，适用于“去 AI 味”“说人话”“自然一点”“别像模板”“先标问题”这类改写和审稿需求；按场景控制力度，同时保留事实、术语、语域和责任主体。","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fshuorenhua\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fshuorenhua\u002FSKILL.md",[],[209,215],"文本",{"skillNo":217,"name":218,"nameZh":6,"description":219,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":220,"sourceHtmlUrl":221,"categories":222,"keywords":223,"publishedAt":46},"01M6M3ZD12WBEW5KXKDM4N6DFG","naming","Name products, SaaS, brands, open source projects, bots, and apps. Use when the user needs to name something, find a brand name, or pick a product name. Metaphor-driven process that produces memorable, meaningful names and avoids AI slop.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fnaming-main\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fnaming-main\u002FSKILL.md",[],[218,224,225,226,227,228,176,229,35,181,230,231,232,233,26,234,235,236,237,27,238,239,195],"repo","websearch","product name","apps","bots","view","brand","pick","gh","projects","open","saas","open source","product","describe","ai slop",{"skillNo":241,"name":242,"nameZh":6,"description":243,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":244,"sourceHtmlUrl":245,"categories":246,"keywords":248,"publishedAt":46},"01M6M3YVXAFAAWJ7F6JMPFREYE","humanizer-zh","去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。\n基于维基百科的\"AI 写作特征\"综合指南。检测并修复以下模式：夸大的象征意义、\n宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、\nAI 词汇、否定式排比、过多的连接性短语。","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fhumanizer-zh\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fhumanizer-zh\u002FSKILL.md",[247],{"categoryNo":157,"categoryName":158,"taxonomyType":20,"taxonomyTypeDesc":21},[249,250,251,35,34,33,168,145,215,252,195,197],"humanizer","zh","humanizer zh","翻译"]