[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DEDJF4MCCTZKZ2AD0XBQKC":3,"skill-same:01M6DEDJF4MCCTZKZ2AD0XBQKC":91},{"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":36,"linkOnly":37,"markdownContent":38,"markdownBody":39,"frontMatter":40,"refName":41,"commitSha":42,"skillDirectory":43,"forksCount":14,"repositoryHtmlUrl":44,"repositoryHomepageUrl":6,"ownerHtmlUrl":45,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":46,"install":47,"resources":60},"01M6DEDJF4MCCTZKZ2AD0XBQKC","long-pdf-evidence-synthesizer",null,"Use when the user needs a professional synthesis of a long PDF, report, thesis, or policy document with section-accurate evidence tracking and clear separation between author claims and your synthesis.","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\u002Fskills\u002Flong-pdf-evidence-synthesizer\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35],"PDF","evidence","long pdf evidence synthesizer","policy","report","tracking","user","use","Synthesis","document","thesis","clear","2026-11-10 10:12:30",false,"---\nname: long-pdf-evidence-synthesizer\ndescription: Use when the user needs a professional synthesis of a long PDF, report, thesis, or policy document with section-accurate evidence tracking and clear separation between author claims and your synthesis.\n---\n\n# long-pdf-evidence-synthesizer\n\nThis skill turns long PDFs into audit-friendly syntheses. The job is not just to shorten the file; it is to preserve structure, evidence, limitations, and decision relevance.\n\n## When to use\n\n- A PDF is too long to read linearly and the user needs a defensible summary.\n- The result will feed a paper, report, policy memo, study plan, or executive brief.\n- The user needs section-level extraction rather than a generic paragraph summary.\n\n## Workflow\n\n1. Classify the document: empirical paper, review, thesis, policy report, guidance, or textbook material.\n2. Build a section map with page ranges and a one-line role for each section.\n3. Extract the governing question, methods or reasoning basis, key findings, limitations, and practical implications.\n4. Keep an evidence ledger that maps each major claim back to the section or page span where it appears.\n5. Deliver a layered output: executive summary, structured notes, risks, and follow-up questions.\n\n## Configuration and access\n\n- If OCR, PDF APIs, or document tools are available, reference only the tool or config slot by name.\n- Preserve file path, title, publication year, and source URL or repository identifier when known.\n\n## Output standard\n\n- Use the sequence `question -> structure -> evidence -> findings -> limitations -> action items`.\n- Mark what the document explicitly says versus what you infer.\n- When useful, include a compact table of sections and evidence anchors.\n\n## Guardrails\n\n- Do not fabricate page numbers or quotes.\n- Do not collapse limitations into conclusions.\n- Preserve uncertainty when the underlying document is weak, outdated, or methodologically thin.\n","# long-pdf-evidence-synthesizer\n\nThis skill turns long PDFs into audit-friendly syntheses. The job is not just to shorten the file; it is to preserve structure, evidence, limitations, and decision relevance.\n\n## When to use\n\n- A PDF is too long to read linearly and the user needs a defensible summary.\n- The result will feed a paper, report, policy memo, study plan, or executive brief.\n- The user needs section-level extraction rather than a generic paragraph summary.\n\n## Workflow\n\n1. Classify the document: empirical paper, review, thesis, policy report, guidance, or textbook material.\n2. Build a section map with page ranges and a one-line role for each section.\n3. Extract the governing question, methods or reasoning basis, key findings, limitations, and practical implications.\n4. Keep an evidence ledger that maps each major claim back to the section or page span where it appears.\n5. Deliver a layered output: executive summary, structured notes, risks, and follow-up questions.\n\n## Configuration and access\n\n- If OCR, PDF APIs, or document tools are available, reference only the tool or config slot by name.\n- Preserve file path, title, publication year, and source URL or repository identifier when known.\n\n## Output standard\n\n- Use the sequence `question -> structure -> evidence -> findings -> limitations -> action items`.\n- Mark what the document explicitly says versus what you infer.\n- When useful, include a compact table of sections and evidence anchors.\n\n## Guardrails\n\n- Do not fabricate page numbers or quotes.\n- Do not collapse limitations into conclusions.\n- Preserve uncertainty when the underlying document is weak, outdated, or methodologically thin.\n",{"name":5,"description":7},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","skills\u002Flong-pdf-evidence-synthesizer","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":48,"prompt":58,"zipAvailable":59},[49,52,55],{"tool":50,"command":51},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill long-pdf-evidence-synthesizer",{"tool":53,"command":54},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill long-pdf-evidence-synthesizer",{"tool":56,"command":57},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill long-pdf-evidence-synthesizer","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Flong-pdf-evidence-synthesizer\u002FSKILL.md",true,[61,67,71,75,79,83,87],{"path":62,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":65,"sourceHtmlUrl":66},"data\u002Fprd-purpose.md","REFERENCE","参考文档",7246,"https:\u002F\u002Fgithub.com\u002Fdinesh-style\u002Fportfolio\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fbmad-edit-prd\u002Fdata\u002Fprd-purpose.md",{"path":68,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":69,"sourceHtmlUrl":70},"steps-e\u002Fstep-e-01-discovery.md",7907,"https:\u002F\u002Fgithub.com\u002Fdinesh-style\u002Fportfolio\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fbmad-edit-prd\u002Fsteps-e\u002Fstep-e-01-discovery.md",{"path":72,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":73,"sourceHtmlUrl":74},"steps-e\u002Fstep-e-01b-legacy-conversion.md",6529,"https:\u002F\u002Fgithub.com\u002Fdinesh-style\u002Fportfolio\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fbmad-edit-prd\u002Fsteps-e\u002Fstep-e-01b-legacy-conversion.md",{"path":76,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":77,"sourceHtmlUrl":78},"steps-e\u002Fstep-e-02-review.md",7661,"https:\u002F\u002Fgithub.com\u002Fdinesh-style\u002Fportfolio\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fbmad-edit-prd\u002Fsteps-e\u002Fstep-e-02-review.md",{"path":80,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":81,"sourceHtmlUrl":82},"steps-e\u002Fstep-e-03-edit.md",7290,"https:\u002F\u002Fgithub.com\u002Fdinesh-style\u002Fportfolio\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fbmad-edit-prd\u002Fsteps-e\u002Fstep-e-03-edit.md",{"path":84,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":85,"sourceHtmlUrl":86},"steps-e\u002Fstep-e-04-complete.md",4893,"https:\u002F\u002Fgithub.com\u002Fdinesh-style\u002Fportfolio\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fbmad-edit-prd\u002Fsteps-e\u002Fstep-e-04-complete.md",{"path":88,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":89,"sourceHtmlUrl":90},"workflow.md",2949,"https:\u002F\u002Fgithub.com\u002Fdinesh-style\u002Fportfolio\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fbmad-edit-prd\u002Fworkflow.md",[92,113,142,169,182,197],{"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":15,"licenseFileUrl":6,"sourceHtmlUrl":96,"categories":97,"keywords":98,"publishedAt":36},"01M6DF7D7478R55P46REYH4QAC","clarify-requirements","Resolve 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",[],[99,100,101,102,103,104,105,106,107,31,108,109,110,111,112],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":122,"publishedAt":36},"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",[119],{"categoryNo":120,"categoryName":121,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[123,124,125,126,127,128,129,130,131,132,133,134,135,136,31,137,138,139,140,141],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":143,"name":144,"nameZh":6,"description":145,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":154,"publishedAt":36},"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",[148,151],{"categoryNo":149,"categoryName":150,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":152,"categoryName":153,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[155,156,157,158,159,160,161,162,163,164,124,165,166,167,168],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":170,"name":171,"nameZh":6,"description":172,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":173,"categories":174,"keywords":175,"publishedAt":36},"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",[],[171,176,28,177,178,179,180,181],"setup","project","installation","project setup","issues","state",{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":189,"publishedAt":36},"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",[188],{"categoryNo":120,"categoryName":121,"taxonomyType":21,"taxonomyTypeDesc":22},[184,190,104,191,192,193,31,30,194,195,196],"start issue","issue","ready","work on issue","work","work on","development",{"skillNo":198,"name":176,"nameZh":6,"description":199,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":200,"categories":201,"keywords":202,"publishedAt":36},"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",[],[176,177,139,203,179,204],"files","interactive"]