[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DAJFCRTYZ5PKV3DK2WQ9DZ":3,"skill-same:01M6DAJFCRTYZ5PKV3DK2WQ9DZ":121},{"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":23,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":14,"repositoryHtmlUrl":46,"repositoryHomepageUrl":6,"ownerHtmlUrl":47,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":48,"install":49,"resources":62},"01M6DAJFCRTYZ5PKV3DK2WQ9DZ","literature-review",null,"Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z",0,"MIT","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Fscientific-thinking-literature-review\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37],"review","literature review","workflow","planning","logging","search","technical","evidence","Synthesis","community","Academic","Citation","biomedical","systematic","2026-11-10 10:12:30",false,"---\nname: literature-review\ndescription: Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.\norigin: community\n---\n\n# Literature Review\n\nUse this skill when the task is to find, screen, synthesize, and cite a body of\nacademic or technical literature.\n\n## When to Use\n\n- Building a systematic, scoping, or narrative literature review.\n- Synthesizing the state of the art for a research question.\n- Finding gaps, contradictions, or future-work directions.\n- Preparing citation-backed background sections for papers or reports.\n- Comparing evidence across peer-reviewed papers, preprints, patents, and\n  technical reports.\n\n## Review Types\n\n- **Narrative review**: broad synthesis; useful for orientation.\n- **Scoping review**: maps concepts, methods, and evidence gaps.\n- **Systematic review**: predefined protocol, reproducible search, explicit\n  screening and exclusion.\n- **Meta-analysis**: systematic review plus quantitative effect aggregation.\n\nAsk the user which level of rigor is needed. If unspecified, default to a\nscoping review for exploratory work and a systematic review for publication or\nclinical claims.\n\n## Workflow\n\n### 1. Define the Question\n\nConvert the prompt into a searchable research question.\n\nFor clinical or biomedical work, use PICO:\n\n- Population\n- Intervention or exposure\n- Comparator\n- Outcome\n\nFor technical work, use:\n\n- system or domain\n- method or intervention\n- comparison baseline\n- evaluation metric\n\n### 2. Plan the Search\n\nCreate a search protocol before collecting sources:\n\n- databases to search\n- date range\n- languages\n- publication types\n- inclusion criteria\n- exclusion criteria\n- exact search strings\n\nMinimum useful database set:\n\n- PubMed for biomedical and life-sciences literature.\n- arXiv for CS, math, physics, quantitative biology, and preprints.\n- Semantic Scholar or Crossref for broad academic discovery.\n- Domain-specific sources when relevant, such as clinical-trial registries,\n  patent databases, standards bodies, or official technical docs.\n\n### 3. Search and Log Evidence\n\nKeep a search log that makes the review reproducible:\n\n```markdown\n| Database | Date searched | Query | Filters | Results | Export |\n| --- | --- | --- | --- | ---: | --- |\n| PubMed | 2026-05-11 | `(\"CRISPR\"[tiab] OR \"Cas9\"[tiab]) AND \"sickle cell\"[tiab]` | 2020:2026, English | 86 | PMID list |\n| arXiv | 2026-05-11 | `CRISPR sickle cell gene editing` | q-bio, 2020:2026 | 9 | BibTeX |\n```\n\nSave raw IDs, URLs, DOIs, abstracts, and notes separately from the final prose.\n\n### 4. Deduplicate\n\nDeduplicate in this order:\n\n1. DOI\n2. PMID or arXiv ID\n3. exact title\n4. normalized title plus first author and year\n\nRecord how many duplicates were removed.\n\n### 5. Screen Sources\n\nScreen in stages:\n\n1. title\n2. abstract\n3. full text\n\nFor systematic work, record exclusion reasons:\n\n- wrong population\n- wrong intervention\n- wrong outcome\n- not primary research\n- duplicate\n- unavailable full text\n- outside date range\n\n### 6. Extract Data\n\nUse a structured extraction table:\n\n```markdown\n| Study | Design | Population\u002FData | Method | Comparator | Outcome | Key finding | Limitations |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Author Year | RCT\u002Fcohort\u002Freview\u002Fetc. | sample or corpus | method | baseline | measured outcome | result | caveat |\n```\n\nFor technical papers, include dataset, benchmark, metric, baseline, and\nreproducibility notes.\n\n### 7. Synthesize\n\nGroup evidence by theme rather than summarizing papers one by one.\n\nUseful synthesis lenses:\n\n- strongest evidence\n- conflicting evidence\n- methodological weaknesses\n- population or dataset limits\n- recency and replication\n- practical implications\n- unanswered questions\n\nSeparate claims by confidence:\n\n- **High confidence**: replicated, high-quality evidence across sources.\n- **Medium confidence**: plausible but limited by sample, method, or recency.\n- **Low confidence**: early, speculative, single-source, or weakly measured.\n\n### 8. Verify Citations\n\nBefore finalizing:\n\n- verify DOI, PMID, arXiv ID, or official URL\n- check author names and publication year\n- do not cite a paper for a claim it does not make\n- mark preprints as preprints\n- distinguish reviews from primary evidence\n\n## Output Template\n\n```markdown\n# Literature Review: \u003CTopic>\n\nGenerated: \u003Cdate>\nReview type: \u003Cnarrative | scoping | systematic | meta-analysis>\nSearch window: \u003Cdates>\nDatabases: \u003Clist>\n\n## Research Question\n\n## Search Strategy\n\n## Inclusion and Exclusion Criteria\n\n## Evidence Summary\n\n## Thematic Synthesis\n\n## Gaps and Limitations\n\n## References\n\n## Search Log\n```\n\n## Pitfalls\n\n- Do not treat search snippets as evidence.\n- Do not mix preprints, reviews, and primary studies without labeling them.\n- Do not omit negative or conflicting findings.\n- Do not claim systematic-review rigor without a reproducible protocol.\n- Do not use a single database for a broad claim unless the scope is explicitly\n  limited to that database.\n","# Literature Review\n\nUse this skill when the task is to find, screen, synthesize, and cite a body of\nacademic or technical literature.\n\n## When to Use\n\n- Building a systematic, scoping, or narrative literature review.\n- Synthesizing the state of the art for a research question.\n- Finding gaps, contradictions, or future-work directions.\n- Preparing citation-backed background sections for papers or reports.\n- Comparing evidence across peer-reviewed papers, preprints, patents, and\n  technical reports.\n\n## Review Types\n\n- **Narrative review**: broad synthesis; useful for orientation.\n- **Scoping review**: maps concepts, methods, and evidence gaps.\n- **Systematic review**: predefined protocol, reproducible search, explicit\n  screening and exclusion.\n- **Meta-analysis**: systematic review plus quantitative effect aggregation.\n\nAsk the user which level of rigor is needed. If unspecified, default to a\nscoping review for exploratory work and a systematic review for publication or\nclinical claims.\n\n## Workflow\n\n### 1. Define the Question\n\nConvert the prompt into a searchable research question.\n\nFor clinical or biomedical work, use PICO:\n\n- Population\n- Intervention or exposure\n- Comparator\n- Outcome\n\nFor technical work, use:\n\n- system or domain\n- method or intervention\n- comparison baseline\n- evaluation metric\n\n### 2. Plan the Search\n\nCreate a search protocol before collecting sources:\n\n- databases to search\n- date range\n- languages\n- publication types\n- inclusion criteria\n- exclusion criteria\n- exact search strings\n\nMinimum useful database set:\n\n- PubMed for biomedical and life-sciences literature.\n- arXiv for CS, math, physics, quantitative biology, and preprints.\n- Semantic Scholar or Crossref for broad academic discovery.\n- Domain-specific sources when relevant, such as clinical-trial registries,\n  patent databases, standards bodies, or official technical docs.\n\n### 3. Search and Log Evidence\n\nKeep a search log that makes the review reproducible:\n\n```markdown\n| Database | Date searched | Query | Filters | Results | Export |\n| --- | --- | --- | --- | ---: | --- |\n| PubMed | 2026-05-11 | `(\"CRISPR\"[tiab] OR \"Cas9\"[tiab]) AND \"sickle cell\"[tiab]` | 2020:2026, English | 86 | PMID list |\n| arXiv | 2026-05-11 | `CRISPR sickle cell gene editing` | q-bio, 2020:2026 | 9 | BibTeX |\n```\n\nSave raw IDs, URLs, DOIs, abstracts, and notes separately from the final prose.\n\n### 4. Deduplicate\n\nDeduplicate in this order:\n\n1. DOI\n2. PMID or arXiv ID\n3. exact title\n4. normalized title plus first author and year\n\nRecord how many duplicates were removed.\n\n### 5. Screen Sources\n\nScreen in stages:\n\n1. title\n2. abstract\n3. full text\n\nFor systematic work, record exclusion reasons:\n\n- wrong population\n- wrong intervention\n- wrong outcome\n- not primary research\n- duplicate\n- unavailable full text\n- outside date range\n\n### 6. Extract Data\n\nUse a structured extraction table:\n\n```markdown\n| Study | Design | Population\u002FData | Method | Comparator | Outcome | Key finding | Limitations |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Author Year | RCT\u002Fcohort\u002Freview\u002Fetc. | sample or corpus | method | baseline | measured outcome | result | caveat |\n```\n\nFor technical papers, include dataset, benchmark, metric, baseline, and\nreproducibility notes.\n\n### 7. Synthesize\n\nGroup evidence by theme rather than summarizing papers one by one.\n\nUseful synthesis lenses:\n\n- strongest evidence\n- conflicting evidence\n- methodological weaknesses\n- population or dataset limits\n- recency and replication\n- practical implications\n- unanswered questions\n\nSeparate claims by confidence:\n\n- **High confidence**: replicated, high-quality evidence across sources.\n- **Medium confidence**: plausible but limited by sample, method, or recency.\n- **Low confidence**: early, speculative, single-source, or weakly measured.\n\n### 8. Verify Citations\n\nBefore finalizing:\n\n- verify DOI, PMID, arXiv ID, or official URL\n- check author names and publication year\n- do not cite a paper for a claim it does not make\n- mark preprints as preprints\n- distinguish reviews from primary evidence\n\n## Output Template\n\n```markdown\n# Literature Review: \u003CTopic>\n\nGenerated: \u003Cdate>\nReview type: \u003Cnarrative | scoping | systematic | meta-analysis>\nSearch window: \u003Cdates>\nDatabases: \u003Clist>\n\n## Research Question\n\n## Search Strategy\n\n## Inclusion and Exclusion Criteria\n\n## Evidence Summary\n\n## Thematic Synthesis\n\n## Gaps and Limitations\n\n## References\n\n## Search Log\n```\n\n## Pitfalls\n\n- Do not treat search snippets as evidence.\n- Do not mix preprints, reviews, and primary studies without labeling them.\n- Do not omit negative or conflicting findings.\n- Do not claim systematic-review rigor without a reproducible protocol.\n- Do not use a single database for a broad claim unless the 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genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fworkspace-hooks\u002Fskills\u002Fclarify-requirements\u002FSKILL.md",[],[129,130,131,132,133,134,135,136,137,138,139,140,141,142,143],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","use","context","repo","injection","execution","file",{"skillNo":145,"name":146,"nameZh":6,"description":147,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":148,"categories":149,"keywords":153,"publishedAt":38},"01M6DF79CA4BHJS66J8EZDBPWJ","openmm-md","Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein \u002F protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fmcp\u002Fopenmm-md-mcp\u002Fskill\u002Fopenmm-md\u002FSKILL.md",[150],{"categoryNo":151,"categoryName":152,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[154,155,156,157,158,159,160,161,162,163,164,165,26,166,138,167,168,169,170,171],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","windows","free","molecular dynamics","local","do","MCP",{"skillNo":173,"name":174,"nameZh":6,"description":175,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":176,"categories":177,"keywords":184,"publishedAt":38},"01M6DF76C1MG85VEWP8VZCBNMN","visual-review","Take screenshots of web pages and UI using Playwright for visual review and iteration","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fvisual-review\u002FSKILL.md",[178,181],{"categoryNo":179,"categoryName":180,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":182,"categoryName":183,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[24,185,186,187,188,189,190,191,192,193,155,194,195,196,197],"visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":199,"name":200,"nameZh":6,"description":201,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":202,"categories":203,"keywords":204,"publishedAt":38},"01M6DF73AQVCBZKEN0YXEX9FXP","status","Diagnostic status report — shows metaswarm installation state, project setup, and potential issues","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstatus\u002FSKILL.md",[],[200,205,206,207,208,209,210,211],"setup","report","project","installation","project setup","issues","state",{"skillNo":213,"name":214,"nameZh":6,"description":215,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":216,"categories":217,"keywords":219,"publishedAt":38},"01M6DF6X6C2XB0P6GX76P7TTYV","start","Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstart\u002FSKILL.md",[218],{"categoryNo":151,"categoryName":152,"taxonomyType":21,"taxonomyTypeDesc":22},[214,220,134,221,222,223,138,224,225,226,227],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":229,"name":205,"nameZh":6,"description":230,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":231,"categories":232,"keywords":233,"publishedAt":38},"01M6DF6QMJ9AJKFKHHKRT005PQ","Interactive project setup — detects your project, configures metaswarm, writes project-local files","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fsetup\u002FSKILL.md",[],[205,207,169,234,209,235],"files","interactive"]