[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DCP4Z8HARBMF6VP0FER4RX":3,"skill-same:01M6DCP4Z8HARBMF6VP0FER4RX":68},{"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":26,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":14,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":53,"install":54,"resources":67},"01M6DCP4Z8HARBMF6VP0FER4RX","imagegen",null,"Use when the user asks to generate or edit images via the OpenAI Image API (for example: generate image, edit\u002Finpaint\u002Fmask, background removal or replacement, transparent background, product shots, concept art, covers, or batch variants); run the bundled CLI (`scripts\u002Fimage_gen.py`) and require `OPENAI_API_KEY` for live calls.","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\u002Fimagegen\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[5,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"generate image","live","Art","images","example","use","user","edit","api","image","batch","openai","product","run","generate","cli","2026-11-10 10:12:30",false,"---\nname: \"imagegen\"\ndescription: \"Use when the user asks to generate or edit images via the OpenAI Image API (for example: generate image, edit\u002Finpaint\u002Fmask, background removal or replacement, transparent background, product shots, concept art, covers, or batch variants); run the bundled CLI (`scripts\u002Fimage_gen.py`) and require `OPENAI_API_KEY` for live calls.\"\n---\n\n\n# Image Generation Skill\n\nGenerates or edits images for the current project (e.g., website assets, game assets, UI mockups, product mockups, wireframes, logo design, photorealistic images, infographics). Defaults to `gpt-image-1.5` and the OpenAI Image API, and prefers the bundled CLI for deterministic, reproducible runs.\n\n## When to use\n- Generate a new image (concept art, product shot, cover, website hero)\n- Edit an existing image (inpainting, masked edits, lighting or weather transformations, background replacement, object removal, compositing, transparent background)\n- Batch runs (many prompts, or many variants across prompts)\n\n## Decision tree (generate vs edit vs batch)\n- If the user provides an input image (or says “edit\u002Fretouch\u002Finpaint\u002Fmask\u002Ftranslate\u002Flocalize\u002Fchange only X”) → **edit**\n- Else if the user needs many different prompts\u002Fassets → **generate-batch**\n- Else → **generate**\n\n## Workflow\n1. Decide intent: generate vs edit vs batch (see decision tree above).\n2. Collect inputs up front: prompt(s), exact text (verbatim), constraints\u002Favoid list, and any input image(s)\u002Fmask(s). For multi-image edits, label each input by index and role; for edits, list invariants explicitly.\n3. If batch: write a temporary JSONL under tmp\u002F (one job per line), run once, then delete the JSONL.\n4. Augment prompt into a short labeled spec (structure + constraints) without inventing new creative requirements.\n5. Run the bundled CLI (`scripts\u002Fimage_gen.py`) with sensible defaults (see references\u002Fcli.md).\n\n### Temp and output conventions\n### Dependencies (install if missing)\n### Environment\n### Defaults & rules\n### Prompt augmentation\n### Use-case taxonomy (exact slugs)\n### Examples\n### Generation example (hero image)\n### Edit example (invariants)\n### Prompting best practices (short list)\n","# Image Generation Skill\n\nGenerates or edits images for the current project (e.g., website assets, game assets, UI mockups, product mockups, wireframes, logo design, photorealistic images, infographics). Defaults to `gpt-image-1.5` and the OpenAI Image API, and prefers the bundled CLI for deterministic, reproducible runs.\n\n## When to use\n- Generate a new image (concept art, product shot, cover, website hero)\n- Edit an existing image (inpainting, masked edits, lighting or weather transformations, background replacement, object removal, compositing, transparent background)\n- Batch runs (many prompts, or many variants across prompts)\n\n## Decision tree (generate vs edit vs batch)\n- If the user provides an input image (or says “edit\u002Fretouch\u002Finpaint\u002Fmask\u002Ftranslate\u002Flocalize\u002Fchange only X”) → **edit**\n- Else if the user needs many different prompts\u002Fassets → **generate-batch**\n- Else → **generate**\n\n## Workflow\n1. Decide intent: generate vs edit vs batch (see decision tree above).\n2. Collect inputs up front: prompt(s), exact text (verbatim), constraints\u002Favoid list, and any input image(s)\u002Fmask(s). For multi-image edits, label each input by index and role; for edits, list invariants explicitly.\n3. If batch: write a temporary JSONL under tmp\u002F (one job per line), run once, then delete the JSONL.\n4. Augment prompt into a short labeled spec (structure + constraints) without inventing new creative requirements.\n5. Run the bundled CLI (`scripts\u002Fimage_gen.py`) with sensible defaults (see references\u002Fcli.md).\n\n### Temp and output conventions\n### Dependencies (install if missing)\n### Environment\n### Defaults & rules\n### Prompt augmentation\n### Use-case taxonomy (exact slugs)\n### Examples\n### Generation example (hero image)\n### Edit example (invariants)\n### Prompting best practices (short list)\n",{"name":5,"description":7},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fimagegen","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill imagegen",{"tool":60,"command":61},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill imagegen",{"tool":63,"command":64},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill imagegen","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\u002Fimagegen\u002FSKILL.md",true,[],[69,90,117,144,158,173],{"skillNo":70,"name":71,"nameZh":6,"description":72,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":73,"categories":74,"keywords":75,"publishedAt":43},"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",[],[76,77,78,79,80,81,82,83,84,32,85,86,87,88,89],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":91,"name":92,"nameZh":6,"description":93,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":94,"categories":95,"keywords":97,"publishedAt":43},"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",[96],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[98,99,100,101,102,103,104,105,106,107,108,109,110,111,32,112,113,114,115,116],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":118,"name":119,"nameZh":6,"description":120,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":121,"categories":122,"keywords":129,"publishedAt":43},"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",[123,126],{"categoryNo":124,"categoryName":125,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":127,"categoryName":128,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[130,131,132,133,134,135,136,137,138,139,99,140,141,142,143],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"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":150,"publishedAt":43},"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",[],[146,151,152,153,154,155,156,157],"setup","report","project","installation","project setup","issues","state",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":165,"publishedAt":43},"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",[164],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[160,166,81,167,168,169,32,33,170,171,172],"start issue","issue","ready","work on issue","work","work on","development",{"skillNo":174,"name":151,"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":178,"publishedAt":43},"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",[],[151,153,114,179,155,180],"files","interactive"]