[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DCGRQQXMK8VZC5WSMY2FXF":3,"skill-same:01M6DCGRQQXMK8VZC5WSMY2FXF":44},{"skillNo":4,"name":5,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":24,"commitSha":25,"skillDirectory":26,"forksCount":13,"repositoryHtmlUrl":27,"repositoryHomepageUrl":6,"ownerHtmlUrl":28,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":29,"install":30,"resources":43},"01M6DCGRQQXMK8VZC5WSMY2FXF","cv-studio",null,"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\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fcv-studio\u002FSKILL.md",[],[18],"cv studio","2026-11-10 10:12:30",false,"---\nname: cv-studio\ndescription: >\n  Generate an ATS-clean PDF resume AND a visually-designed CV from ONE structured profile,\n  plus tailored cover letters and an optimised LinkedIn profile. Use when the user wants to\n  create, redesign, tailor, or ATS-optimise a resume or CV, write a cover letter, produce a\n  job-specific version, or rewrite their LinkedIn headline \u002F About \u002F experience \u002F skills.\n  Zero-fabrication: every claim traces to the profile. ATS PDF via RenderCV (Typst,\n  parser-verified, tagged single-column); visual CV via JSON Resume themes or the\n  design-studio \u002F figma pipeline. Triggers: \"make my resume\", \"ATS-optimise my CV\",\n  \"tailor my resume to this job\", \"write a cover letter\", \"optimise my LinkedIn profile\",\n  \"rewrite my LinkedIn headline \u002F About\".\nlicense: MIT (skill). Engines: RenderCV + JSON Resume are MIT. Reference content is\n  paraphrased from MIT-licensed repos (credited in references\u002F); no unlicensed text vendored.\n---\n\n# cv-studio — one profile → ATS PDF · visual CV · tailored letter · LinkedIn\n\nA CV is **two artifacts with opposite constraints** (this is the load-bearing insight):\n\n1. **The ATS-submitted PDF** is a *data input, not a design piece*. It must be **single-column,\n   real selectable text, tagged**. A multi-column Figma graphic parses into interleaved garbage —\n   the extractor reads *across* columns, so \"Skills … SQL Senior PM Python\" becomes one mangled\n   job title and you drop out of keyword search. → Typeset it with **RenderCV** (below).\n2. **The human\u002Fportfolio version** (personal site, a PDF handed to a person) is where design\n   shines. → Route that to the owner's **design-studio \u002F figma \u002F ui-ux-pro-max** pipeline.\n\nNever design the *submitted* CV as a graphic. Typeset it; design the portfolio variant only.\n\n## The one input: `profile.yaml` (JSON Resume superset)\n\nEverything derives from a single YAML file — a [JSON Resume](https:\u002F\u002Fjsonresume.org\u002Fschema\u002F)\ndocument plus three `x_` extensions that enforce honesty. See `assets\u002Fsample-profile.yaml` for a\ncomplete worked example and `references\u002Fschema.md` for the field map.\n\n- Standard blocks: `basics, work, education, skills, projects, publications, awards,\n  certificates, languages, volunteer, interests, references`.\n- `x_master` — per-role achievement bank, keyed `\"Company|Position\"`. **The ONLY sanctioned\n  source for bullets.** You rewrite these long-form notes into punchy bullets; you never invent.\n- `x_metrics` — verified figures only. A bullet may cite a number **iff** it appears here.\n\n### Modes\n### The pipeline (deterministic; scripts do the mechanics, you do the content)\n### The zero-fabrication discipline (non-negotiable)\n### Cover-letter mode\n### LinkedIn mode (folded in — a separate skill would be catalogue tax)\n### Visual \u002F design-led CV\n### Acceptance\n### References (pulled on demand — do not inline)\n","# cv-studio — one profile → ATS PDF · visual CV · tailored letter · LinkedIn\n\nA CV is **two artifacts with opposite constraints** (this is the load-bearing insight):\n\n1. **The ATS-submitted PDF** is a *data input, not a design piece*. It must be **single-column,\n   real selectable text, tagged**. A multi-column Figma graphic parses into interleaved garbage —\n   the extractor reads *across* columns, so \"Skills … SQL Senior PM Python\" becomes one mangled\n   job title and you drop out of keyword search. → Typeset it with **RenderCV** (below).\n2. **The human\u002Fportfolio version** (personal site, a PDF handed to a person) is where design\n   shines. → Route that to the owner's **design-studio \u002F figma \u002F ui-ux-pro-max** pipeline.\n\nNever design the *submitted* CV as a graphic. Typeset it; design the portfolio variant only.\n\n## The one input: `profile.yaml` (JSON Resume superset)\n\nEverything derives from a single YAML file — a [JSON Resume](https:\u002F\u002Fjsonresume.org\u002Fschema\u002F)\ndocument plus three `x_` extensions that enforce honesty. See `assets\u002Fsample-profile.yaml` for a\ncomplete worked example and `references\u002Fschema.md` for the field map.\n\n- Standard blocks: `basics, work, education, skills, projects, publications, awards,\n  certificates, languages, volunteer, interests, references`.\n- `x_master` — per-role achievement bank, keyed `\"Company|Position\"`. **The ONLY sanctioned\n  source for bullets.** You rewrite these long-form notes into punchy bullets; you never invent.\n- `x_metrics` — verified figures only. A bullet may cite a number **iff** it appears here.\n\n### Modes\n### The pipeline (deterministic; scripts do the mechanics, you do the content)\n### The zero-fabrication discipline (non-negotiable)\n### Cover-letter mode\n### LinkedIn mode (folded in — a separate skill would be catalogue tax)\n### Visual \u002F design-led CV\n### Acceptance\n### References (pulled on demand — do not inline)\n",{},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fcv-studio","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":7,"skillName":5,"commands":31,"prompt":41,"zipAvailable":42},[32,35,38],{"tool":33,"command":34},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill cv-studio",{"tool":36,"command":37},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill cv-studio",{"tool":39,"command":40},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill cv-studio","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fcv-studio\u002FSKILL.md",true,[],[45,67,98,125,139,155],{"skillNo":46,"name":47,"nameZh":6,"description":48,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":49,"categories":50,"keywords":51,"publishedAt":19},"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",[],[52,53,54,55,56,57,58,59,60,61,62,63,64,65,66],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","use","context","repo","injection","execution","file",{"skillNo":68,"name":69,"nameZh":6,"description":70,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":71,"categories":72,"keywords":78,"publishedAt":19},"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",[73],{"categoryNo":74,"categoryName":75,"taxonomyType":76,"taxonomyTypeDesc":77},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[79,80,81,82,83,84,85,86,87,88,89,90,91,92,61,93,94,95,96,97],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":99,"name":100,"nameZh":6,"description":101,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":102,"categories":103,"keywords":110,"publishedAt":19},"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",[104,107],{"categoryNo":105,"categoryName":106,"taxonomyType":76,"taxonomyTypeDesc":77},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":108,"categoryName":109,"taxonomyType":76,"taxonomyTypeDesc":77},"01JBSEEDCAT000000000000008","测试与质量",[111,112,113,114,115,116,117,118,119,120,80,121,122,123,124],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":126,"name":127,"nameZh":6,"description":128,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":129,"categories":130,"keywords":131,"publishedAt":19},"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",[],[127,132,133,134,135,136,137,138],"setup","report","project","installation","project setup","issues","state",{"skillNo":140,"name":141,"nameZh":6,"description":142,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":143,"categories":144,"keywords":146,"publishedAt":19},"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",[145],{"categoryNo":74,"categoryName":75,"taxonomyType":76,"taxonomyTypeDesc":77},[141,147,57,148,149,150,61,151,152,153,154],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":156,"name":132,"nameZh":6,"description":157,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":158,"categories":159,"keywords":160,"publishedAt":19},"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",[],[132,134,95,161,136,162],"files","interactive"]