[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6C206DFPRB1YM1THRTZPACC":3,"skill-same:01M6C206DFPRB1YM1THRTZPACC":87},{"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":17,"publishedAt":24,"linkOnly":25,"markdownContent":26,"markdownBody":27,"frontMatter":28,"refName":33,"commitSha":34,"skillDirectory":35,"forksCount":13,"repositoryHtmlUrl":36,"repositoryHomepageUrl":6,"ownerHtmlUrl":37,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":38,"install":39,"resources":52},"01M6C206DFPRB1YM1THRTZPACC","linkedin-profile",null,"Use when someone wants their LinkedIn profile audited or rewritten — headline, About section, experience bullets, Featured, banner, recommendations — or says \"fix my headline\", \"my profile gets views but nothing happens\", \"optimize my LinkedIn profile\", \"what should my About section say\". Scores the headline on five dimensions, audits the whole profile 0-100 and ranks fixes by points per hour, and assembles an About section that survives the \"…see more\" fold.","mne20114-hash\u002Fgest35bi","mne20114-hash","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F224168109?v=4","01M6C0JCR7334CZ39YWTZXX2NG","01M6C0JCWN0NBWMQTW1CPG2Z4G",0,"MIT","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fmarketing\u002Flinkedin\u002Fskills\u002Flinkedin-profile\u002FSKILL.md",[],[18,19,20,21,22,23],"linkedin","profile","linkedin profile","marketing","fix","use","2026-11-10 10:12:30",false,"---\nname: linkedin-profile\ndescription: Use when someone wants their LinkedIn profile audited or rewritten — headline, About section, experience bullets, Featured, banner, recommendations — or says \"fix my headline\", \"my profile gets views but nothing happens\", \"optimize my LinkedIn profile\", \"what should my About section say\". Scores the headline on five dimensions, audits the whole profile 0-100 and ranks fixes by points per hour, and assembles an About section that survives the \"…see more\" fold.\nlicense: MIT\nmetadata:\n  version: 1.0.0\n  author: Alireza Rezvani\n  category: marketing\n  updated: 2026-08-25\n---\n\n# LinkedIn Profile — audit, then rewrite the parts that pay\n\nA profile is not a CV. A CV is read by someone who already decided to consider you; a\nprofile is read by someone deciding whether to. Three readers, in descending volume: the\n**scanner** (three seconds, from your comment on someone else's post — sees photo and\nheadline only), the **evaluator** (forty seconds — headline, half the About, Featured), the\n**decider** (minutes — everything). Almost all traffic is the scanner. Almost all conversion\nis the decider.\n\n## Workflow\n\n**1. Audit before rewriting.** Ask them to describe their profile section by section, or\nhave them fill [`assets\u002Fprofile_worksheet.md`](assets\u002Fprofile_worksheet.md), then:\n\n```bash\npython3 scripts\u002Fprofile_completeness_auditor.py --input profile.json --output human\n```\n\nExit 0 STRONG \u002F 2 INCOMPLETE \u002F 3 WEAK. It ranks every gap by **points per hour** and prints\na first-hour plan — usually Featured, Open To, and skills, which cost minutes and recover\nreal points. Start there, not with the About section they wanted to agonise over.\n\n**2. Headline next — it is the only string that travels.** It rides along with every comment,\nsearch result, and invitation.\n\n```bash\npython3 scripts\u002Fheadline_scorer.py --headline \"...\" --output human\n```\n\nFive dimensions at 20 points: audience, outcome, proof, searchability, clarity. Exit 0 SHIP\n(≥75) \u002F 2 SHARPEN \u002F 3 REWRITE. It also checks the 220-character cap and whether the first\n~60 characters — the part that survives in search results and invitation previews — carry\nanything.\n\nIterate here. Two or three passes is normal; the stop condition is exit 0, or the user\nsaying they would say it out loud to a peer.\n\n**3. About section — write to the fold.** LinkedIn collapses it after roughly 265-300\ncharacters. Collect the five parts from the user, then assemble:\n\n```bash\npython3 scripts\u002Fabout_section_builder.py --input about.json --output human\n```\n\nIt refuses a fold that cuts mid-sentence, a fold carrying no audience and no proof, a\nmissing call to action, and anything over 2,600 characters.\n\n**4. Experience, Featured, recommendations.** Rewrite duty lists as outcomes. Pin one\nartifact a stranger could evaluate in sixty seconds. Ask for two specific recommendations by\nnaming the project and offering a first draft.\n\n## Rules\n\n- **Never invent a credential, a metric, or a role.** Every number on a profile is checkable\n  by someone. If the proof does not exist, the claim is qualitative or it is absent.\n- **First person.** A profile in third person reads as a press release someone else wrote.\n- **The fold is the section.** Whatever sits above \"…see more\" is what most readers get.\n- **Front-load the headline.** The strongest segment first; everything after is a bonus.\n- **Do not fetch anything.** The user describes their own profile; nothing is scraped.\n\n## Scripts\n\n| Script | Role |\n|---|---|\n| [`scripts\u002Fheadline_scorer.py`](scripts\u002Fheadline_scorer.py) | Headline 0-100 on audience \u002F outcome \u002F proof \u002F searchability \u002F clarity, plus the 220-char cap and front-load check. |\n| [`scripts\u002Fprofile_completeness_auditor.py`](scripts\u002Fprofile_completeness_auditor.py) | Whole profile 0-100 across 14 weighted checks; fixes ranked by points per hour with a first-hour plan. |\n| [`scripts\u002Fabout_section_builder.py`](scripts\u002Fabout_section_builder.py) | Assembles the About section from named parts and refuses a broken fold, a missing CTA, or an over-length section. |\n\n## References and assets\n\n- [`references\u002Fprofile_architecture.md`](references\u002Fprofile_architecture.md) — what each section is for, and the three readers (7 sources)\n- [`references\u002Fheadline_and_positioning.md`](references\u002Fheadline_and_positioning.md) — the 220 characters that follow you everywhere (7 sources)\n\n- [`assets\u002Fprofile_worksheet.md`](assets\u002Fprofile_worksheet.md) — fillable section-by-section worksheet\n- [`assets\u002Fexample_profile.json`](assets\u002Fexample_profile.json) — input shape for the auditor\n\n## Distinct from\n\n- **`linkedin-strategy`** — what to post and how often. This is who you are before you post.\n  If the audience answer is fuzzy, run `positioning_brief.py` there first; the headline\n  falls out of a good brief in ten minutes.\n- **`product-team\u002F`, `c-level-advisor\u002F`** — career and role strategy. This writes the profile,\n  not the career plan.\n\n---\n\n**Version:** 1.0.0\n","# LinkedIn Profile — audit, then rewrite the parts that pay\n\nA profile is not a CV. A CV is read by someone who already decided to consider you; a\nprofile is read by someone deciding whether to. Three readers, in descending volume: the\n**scanner** (three seconds, from your comment on someone else's post — sees photo and\nheadline only), the **evaluator** (forty seconds — headline, half the About, Featured), the\n**decider** (minutes — everything). Almost all traffic is the scanner. Almost all conversion\nis the decider.\n\n## Workflow\n\n**1. Audit before rewriting.** Ask them to describe their profile section by section, or\nhave them fill [`assets\u002Fprofile_worksheet.md`](assets\u002Fprofile_worksheet.md), then:\n\n```bash\npython3 scripts\u002Fprofile_completeness_auditor.py --input profile.json --output human\n```\n\nExit 0 STRONG \u002F 2 INCOMPLETE \u002F 3 WEAK. It ranks every gap by **points per hour** and prints\na first-hour plan — usually Featured, Open To, and skills, which cost minutes and recover\nreal points. Start there, not with the About section they wanted to agonise over.\n\n**2. Headline next — it is the only string that travels.** It rides along with every comment,\nsearch result, and invitation.\n\n```bash\npython3 scripts\u002Fheadline_scorer.py --headline \"...\" --output human\n```\n\nFive dimensions at 20 points: audience, outcome, proof, searchability, clarity. Exit 0 SHIP\n(≥75) \u002F 2 SHARPEN \u002F 3 REWRITE. It also checks the 220-character cap and whether the first\n~60 characters — the part that survives in search results and invitation previews — carry\nanything.\n\nIterate here. Two or three passes is normal; the stop condition is exit 0, or the user\nsaying they would say it out loud to a peer.\n\n**3. About section — write to the fold.** LinkedIn collapses it after roughly 265-300\ncharacters. Collect the five parts from the user, then assemble:\n\n```bash\npython3 scripts\u002Fabout_section_builder.py --input about.json --output human\n```\n\nIt refuses a fold that cuts mid-sentence, a fold carrying no audience and no proof, a\nmissing call to action, and anything over 2,600 characters.\n\n**4. Experience, Featured, recommendations.** Rewrite duty lists as outcomes. Pin one\nartifact a stranger could evaluate in sixty seconds. Ask for two specific recommendations by\nnaming the project and offering a first draft.\n\n## Rules\n\n- **Never invent a credential, a metric, or a role.** Every number on a profile is checkable\n  by someone. If the proof does not exist, the claim is qualitative or it is absent.\n- **First person.** A profile in third person reads as a press release someone else wrote.\n- **The fold is the section.** Whatever sits above \"…see more\" is what most readers get.\n- **Front-load the headline.** The strongest segment first; everything after is a bonus.\n- **Do not fetch anything.** The user describes their own profile; nothing is scraped.\n\n## Scripts\n\n| Script | Role |\n|---|---|\n| [`scripts\u002Fheadline_scorer.py`](scripts\u002Fheadline_scorer.py) | Headline 0-100 on audience \u002F outcome \u002F proof \u002F searchability \u002F clarity, plus the 220-char cap and front-load check. |\n| [`scripts\u002Fprofile_completeness_auditor.py`](scripts\u002Fprofile_completeness_auditor.py) | Whole profile 0-100 across 14 weighted checks; fixes ranked by points per hour with a first-hour plan. |\n| [`scripts\u002Fabout_section_builder.py`](scripts\u002Fabout_section_builder.py) | Assembles the About section from named parts and refuses a broken fold, a missing CTA, or an over-length section. |\n\n## References and assets\n\n- [`references\u002Fprofile_architecture.md`](references\u002Fprofile_architecture.md) — what each section is for, and the three readers (7 sources)\n- [`references\u002Fheadline_and_positioning.md`](references\u002Fheadline_and_positioning.md) — the 220 characters that follow you everywhere (7 sources)\n\n- [`assets\u002Fprofile_worksheet.md`](assets\u002Fprofile_worksheet.md) — fillable section-by-section worksheet\n- [`assets\u002Fexample_profile.json`](assets\u002Fexample_profile.json) — input shape for the auditor\n\n## Distinct from\n\n- **`linkedin-strategy`** — what to post and how often. This is who you are before you post.\n  If the audience answer is fuzzy, run `positioning_brief.py` there first; the headline\n  falls out of a good brief in ten minutes.\n- **`product-team\u002F`, `c-level-advisor\u002F`** — career and role strategy. This writes the profile,\n  not the career plan.\n\n---\n\n**Version:** 1.0.0\n",{"name":5,"license":14,"metadata":29,"description":7},{"author":30,"updated":31,"version":32,"category":21},"Alireza Rezvani",1787616000000,"1.0.0","main","510dd2917e051cc953dc55f56fd6ef442aa01b38","claude-skills\u002Fmarketing\u002Flinkedin\u002Fskills\u002Flinkedin-profile","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi","https:\u002F\u002Fgithub.com\u002Fmne20114-hash","2026-10-28 07:50:31",{"source":8,"skillName":5,"commands":40,"prompt":50,"zipAvailable":51},[41,44,47],{"tool":42,"command":43},"npx","npx skills add mne20114-hash\u002Fgest35bi --skill linkedin-profile",{"tool":45,"command":46},"bunx","bunx skills add mne20114-hash\u002Fgest35bi --skill linkedin-profile",{"tool":48,"command":49},"pnpm","pnpm dlx skills add mne20114-hash\u002Fgest35bi --skill linkedin-profile","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fmarketing\u002Flinkedin\u002Fskills\u002Flinkedin-profile\u002FSKILL.md",true,[53,59,63,69,73,79,83],{"path":54,"resourceType":55,"resourceTypeDesc":56,"sizeBytes":57,"sourceHtmlUrl":58},"assets\u002Fexample_profile.json","ASSET","资产文件",1531,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fmarketing\u002Flinkedin\u002Fskills\u002Flinkedin-profile\u002Fassets\u002Fexample_profile.json",{"path":60,"resourceType":55,"resourceTypeDesc":56,"sizeBytes":61,"sourceHtmlUrl":62},"assets\u002Fprofile_worksheet.md",1897,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fmarketing\u002Flinkedin\u002Fskills\u002Flinkedin-profile\u002Fassets\u002Fprofile_worksheet.md",{"path":64,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":67,"sourceHtmlUrl":68},"references\u002Fheadline_and_positioning.md","REFERENCE","参考文档",5752,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fmarketing\u002Flinkedin\u002Fskills\u002Flinkedin-profile\u002Freferences\u002Fheadline_and_positioning.md",{"path":70,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":71,"sourceHtmlUrl":72},"references\u002Fprofile_architecture.md",5897,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fmarketing\u002Flinkedin\u002Fskills\u002Flinkedin-profile\u002Freferences\u002Fprofile_architecture.md",{"path":74,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":77,"sourceHtmlUrl":78},"scripts\u002Fabout_section_builder.py","SCRIPT","脚本",12059,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fmarketing\u002Flinkedin\u002Fskills\u002Flinkedin-profile\u002Fscripts\u002Fabout_section_builder.py",{"path":80,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":81,"sourceHtmlUrl":82},"scripts\u002Fheadline_scorer.py",12981,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fmarketing\u002Flinkedin\u002Fskills\u002Flinkedin-profile\u002Fscripts\u002Fheadline_scorer.py",{"path":84,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":85,"sourceHtmlUrl":86},"scripts\u002Fprofile_completeness_auditor.py",12228,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fmarketing\u002Flinkedin\u002Fskills\u002Flinkedin-profile\u002Fscripts\u002Fprofile_completeness_auditor.py",[88,126,148,171,196,216],{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":107,"publishedAt":24},"01M6C27N3H0F9RGG2KASPASH04","syllabus","Generates a curated supplementary reading list from any course syllabus using Consensus academic search. Grill-me intake (syllabus input format + course audience + year range) plus a grouping forcing-options checkpoint before any search runs — so the reading list matches the course's level and recency need. Parses the syllabus to extract topics and learning outcomes, searches Consensus for recent peer-reviewed papers per topic, and produces a professionally formatted .docx with clickable Consensus links, plain-language summaries calibrated to audience level, and Bloom-higher-order discussion questions tied to course learning goals. Use when the user uploads a syllabus, course outline, or curriculum document and wants supplementary readings (e.g., 'create a reading list from this syllabus', 'find recent papers for my course') — even casual mentions with a syllabus attached should trigger this skill.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fsyllabus\u002Fskills\u002Fsyllabus\u002FSKILL.md",[94,99,102],{"categoryNo":95,"categoryName":96,"taxonomyType":97,"taxonomyTypeDesc":98},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",{"categoryNo":100,"categoryName":101,"taxonomyType":97,"taxonomyTypeDesc":98},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":103,"categoryName":104,"taxonomyType":105,"taxonomyTypeDesc":106},"01JBSEEDCAT000000000000034","行政与办公人员","PROFESSION","适用职业",[90,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,23,125],"docx","pr","create","intake","search","audit","integrity","checkpoint","learning","js","format","direct","Rules","find","consensus","list","extract","outcomes",{"skillNo":127,"name":128,"nameZh":6,"description":129,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":130,"categories":131,"keywords":136,"publishedAt":24},"01M6C27DMGZ4D6ERNHSVA8H8RJ","pulse","Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X\u002FTwitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend\u002Fsentiment\u002Fproblems\u002Fopportunities\u002Fcomparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Use when the user requests multi-source recency intelligence on a topic (e.g., 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]'), and for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fpulse\u002Fskills\u002Fpulse\u002FSKILL.md",[132,135],{"categoryNo":133,"categoryName":134,"taxonomyType":97,"taxonomyTypeDesc":98},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":100,"categoryName":101,"taxonomyType":97,"taxonomyTypeDesc":98},[128,137,138,109,139,111,113,140,141,114,142,143,144,145,119,120,146,121,147,23],"research","web","sentiment analysis","sentiment","Citations","analysis","discovery","open","tool","twitter","user",{"skillNo":149,"name":150,"nameZh":6,"description":151,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":152,"categories":153,"keywords":159,"publishedAt":24},"01M6C279M59X635VPD6Y9R616J","patent","Patent prior-art and landscape intelligence skill — not generic patent help. Commits to one of five sub-use-cases via forcing intake (novelty search \u002F freedom-to-operate \u002F competitive landscape \u002F acquisition diligence \u002F litigation prior-art) before any search runs. Searches Google Patents, Espacenet, USPTO, and optionally Lens.org for citation-graph signals. Output is an editable Word document (.docx) with verdict, ranked closest art (claim-text extracted), CPC-class-aware landscape, family-resolved hits, geographic coverage, FTO flags where applicable, strategy recommendations, and full audit log. Use when the user asks for patent searching or analysis (e.g., 'prior art search for [invention]', 'freedom to operate analysis for [product]'). Produces search signal, not legal advice — always recommends consulting a patent attorney before filing or licensing decisions. Trademark, copyright, and trade-secret questions are out of scope.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fpatent\u002Fskills\u002Fpatent\u002FSKILL.md",[154,155,156],{"categoryNo":95,"categoryName":96,"taxonomyType":97,"taxonomyTypeDesc":98},{"categoryNo":100,"categoryName":101,"taxonomyType":97,"taxonomyTypeDesc":98},{"categoryNo":157,"categoryName":158,"taxonomyType":105,"taxonomyTypeDesc":106},"01JBSEEDCAT000000000000037","律师与法务",[150,108,109,160,161,162,111,112,113,142,163,164,165,120,166,167,168,169,23,170],"competitive landscape","routing","product","commits","Word","text","acquisition","decisions","strategy","coverage","advice",{"skillNo":172,"name":173,"nameZh":6,"description":174,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":175,"categories":176,"keywords":181,"publishedAt":24},"01M6C275RZWNRB3CCB14QQM7ES","notebooklm","Browser automation skill for controlling Google's NotebookLM. Use when the user wants anything done in NotebookLM (e.g., 'open NotebookLM', 'check my [name] notebook', 'ask my notebook about X', 'add [source] to NotebookLM', 'generate a Video Overview from my notebook', 'use NotebookLM Studio'). Handles reading and querying notebooks, adding sources (URLs, text, files, YouTube links, synthesized content), generating Studio outputs (Audio\u002FVideo Overviews, Mind Maps, Reports incl. Briefing Doc\u002FStudy Guide\u002FFAQ, Flashcards, Quiz, slide decks, infographics — discover the exact set from the live Studio panel; the UI evolves fast), and creating new notebooks. Requires browser automation environment — fails gracefully when unavailable.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fnotebooklm\u002Fskills\u002Fnotebooklm\u002FSKILL.md",[177,180],{"categoryNo":178,"categoryName":179,"taxonomyType":97,"taxonomyTypeDesc":98},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":100,"categoryName":101,"taxonomyType":97,"taxonomyTypeDesc":98},[173,182,183,137,184,185,186,187,188,189,190,191,144,165,119,192,193,194,195,23],"google","browser automation","automation","generate","browser","fast","SET","doc","Video","Audio","check","ask","environment","overview",{"skillNo":197,"name":198,"nameZh":6,"description":199,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":200,"categories":201,"keywords":206,"publishedAt":24},"01M6C2717B0QDJ3Y4PJP77BMW5","litreview","Academic literature orientation skill that searches papers via free keyless APIs (PubMed E-utilities + OpenAlex) by default — with the Consensus MCP as an optional enhancement lane when connected — builds a strategic search plan using PICO (default) or SPIDER \u002F Decomposition \u002F hybrid as fallbacks, and synthesizes findings into a formatted Word (.docx) research guide. Grill-me intake (research question specificity + framework hint + tentative depth) before the recon search; a second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth before searches consume budget. Configurable depth (5\u002F10\u002F20 queries) controls coverage vs. speed. Output is a 'launching pad' — an orientation guide that lets a researcher dive in confidently, not a finished review. Use when the user starts literature-oriented research (e.g., 'litreview on [topic]', 'literature review on [topic]', 'I'm starting a literature review on X', 'I'm writing a paper on X', 'help me research X', 'I'm doing research on X', 'can you help me research X'). Do NOT use for single one-off paper searches wanting a quick list — that's a plain PubMed\u002FOpenAlex (or Consensus) query.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Flitreview\u002Fskills\u002Flitreview\u002FSKILL.md",[202,203,204,205],{"categoryNo":95,"categoryName":96,"taxonomyType":97,"taxonomyTypeDesc":98},{"categoryNo":133,"categoryName":134,"taxonomyType":97,"taxonomyTypeDesc":98},{"categoryNo":100,"categoryName":101,"taxonomyType":97,"taxonomyTypeDesc":98},{"categoryNo":103,"categoryName":104,"taxonomyType":105,"taxonomyTypeDesc":106},[198,108,207,208,209,109,111,112,210,211,212,115,213,164,214,120,122,215,169,23],"MCP","writing","review","lane","keyless","literature review","plan","researcher","question",{"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":6,"sourceHtmlUrl":220,"categories":221,"keywords":226,"publishedAt":24},"01M6C26X5G3WDVWQ40Y16ZS19F","grants","NIH grant research skill for clinical researchers. Grill-me intake (research idea + career stage + preliminary data + environment + submission posture + known institute targets) locks down the funding strategy before any search runs. Runs a 5-facet Consensus positioning analysis (with draft Significance\u002FInnovation language), maps the research to the right NIH institutes and study sections via RePORTER, finds NOSIs and funded overlap, and produces an editable Word document (.docx) with budget\u002Fscope-aware mechanism recommendations, submission timelines, and a mandatory program officer recommendation. Use when the user asks about research funding or makes any grant-related request (e.g., 'grants for [topic]', 'find grants for my research idea', 'what grants match my research', 'help me find NIH funding', 'grant opportunities for my research'). NIH-only scope — non-NIH funders (PCORI, DOD CDMRP, VA, foundations) are out of scope and flagged at intake.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fgrants\u002Fskills\u002Fgrants\u002FSKILL.md",[222,223,224,225],{"categoryNo":95,"categoryName":96,"taxonomyType":97,"taxonomyTypeDesc":98},{"categoryNo":133,"categoryName":134,"taxonomyType":97,"taxonomyTypeDesc":98},{"categoryNo":100,"categoryName":101,"taxonomyType":97,"taxonomyTypeDesc":98},{"categoryNo":103,"categoryName":104,"taxonomyType":105,"taxonomyTypeDesc":106},[218,108,137,109,227,111,112,113,228,229,114,142,164,120,121,122,168,194,23,230],"help","data","Budget","innovation"]