[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CYA2VM1VJVMM2CFG30P81D":3,"skill-same:01M6CYA2VM1VJVMM2CFG30P81D":125},{"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":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":52,"repositoryHtmlUrl":53,"repositoryHomepageUrl":54,"ownerHtmlUrl":55,"ownerBlogUrl":56,"ownerDescription":57,"updatedAt":58,"install":59,"resources":72},"01M6CYA2VM1VJVMM2CFG30P81D","video-prompting",null,"Draft and refine prompts for video generation models (text-to-video and image-to-video). Use when a user asks for a \"video prompt\" or a model-specific prompt such as Ovi, Sora, Veo 3, Wan 2.2, LTX-2, or LTX-2.3, including requests like \"text-to-video prompt\", \"image-to-video prompt\", or \"write a prompt for [model]\".","eric861129\u002FSKILLS_All-in-one","eric861129","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F74950944?v=4","01M6CXHDYEYRPFGGV4EFXCSYCF","ChiYu-Huang","01M6CXHE2J5CN1EBTY0FKV3ZKW",52,"MIT","https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FMedia & Content\u002Fvideo-prompting-skill\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",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"Video","video prompting","sora","text","model","video generation","prompt","write","user","use","prompts","models","veo","refine","draft","generation","image","2026-11-10 10:12:30",false,"---\nname: video-prompting\ndescription: Draft and refine prompts for video generation models (text-to-video and image-to-video). Use when a user asks for a \"video prompt\" or a model-specific prompt such as Ovi, Sora, Veo 3, Wan 2.2, LTX-2, or LTX-2.3, including requests like \"text-to-video prompt\", \"image-to-video prompt\", or \"write a prompt for [model]\".\n---\n\n# Video Prompting\n\n## Overview\n\nTurn a user’s intent into a strong, model-compliant video prompt by routing to the correct model guide and applying its formatting\u002Ftokens.\n\nModel-specific guidance lives in `references\u002Fmodels\u002F`. This file is the entry point: pick the model, ask the minimum clarifying questions, then draft the prompt in that model’s expected format.\n\n## Model Index\n\n- Ovi: `references\u002Fmodels\u002Fovi\u002Fprompting.md`\n- Sora (Sora 2): `references\u002Fmodels\u002Fsora\u002Fprompting.md`\n- Veo 3 \u002F 3.1: `references\u002Fmodels\u002Fveo3\u002Fprompting.md`\n- Wan 2.2: `references\u002Fmodels\u002Fwan22\u002Fprompting.md`\n- LTX-2: `references\u002Fmodels\u002Fltx2\u002Fprompting.md`\n- LTX-2.3: `references\u002Fmodels\u002Fltx2-3\u002Fprompting.md`\n\nTo add a new model later: create `references\u002Fmodels\u002F\u003Cmodel>\u002Fprompting.md`, then add it to this index.\n\n## Workflow\n\n### Step 1 — Identify the model and input mode\n\nIf the user did not name a model, ask which model they are using (or offer supported options from the Model Index).\n\nThen confirm the input mode:\n\n- Text-to-video (t2v), or\n- Image-to-video (i2v)\n\nIf i2v: ask the user to share the image (optional, but it will help you generate a better prompt). Use the image as an anchor according to the chosen model’s guidance (e.g., keep identity\u002Fwardrobe\u002Fcomposition stable; focus your text on motion\u002Fcamera\u002Fwhat changes).\n\nIf the chosen model has versions, duration constraints, or required parameters, ask the minimum questions needed to select the right format (see the model guide).\nFor LTX-2.3 specifically: default to a 10-second clip when duration is missing, ask if the user wants shorter or longer, and scale motion complexity to match that duration.\n\n### Step 2 — Load the model reference and follow its format\n\nOpen the model’s `prompting.md` from the Model Index and follow its rules strictly (tokens, audio formatting, parameter constraints, recommended structure).\n\n### Step 3 — Draft the prompt as a coherent clip\n\nDefault structure (adapt to the model’s style and required sections):\n\n1. Subject(s): who\u002Fwhat, distinctive details\n2. Setting: where\u002Fwhen, lighting, mood\n3. Action progression: what changes over time (start → beat → beat → end)\n4. Camera: framing\u002Fmovement only if it matters\n5. Dialogue\u002Faudio: only if the model supports it, using the model’s exact format\n\nAvoid keyword soup. Prefer a single, well-described shot unless the user explicitly wants multiple cuts\u002Fshots.\n\n### Step 4 — Output\n\nDefault: output only the final prompt text.\n\nIf the user asks for options: provide 2–3 distinct prompt variants, each fully self-contained and compliant with the model’s formatting.\n\nIf the model uses required API parameters (e.g., duration\u002Fsize), include a short “Recommended parameters” line only when the user has specified them or explicitly asks for them.\n","# Video Prompting\n\n## Overview\n\nTurn a user’s intent into a strong, model-compliant video prompt by routing to the correct model guide and applying its formatting\u002Ftokens.\n\nModel-specific guidance lives in `references\u002Fmodels\u002F`. This file is the entry point: pick the model, ask the minimum clarifying questions, then draft the prompt in that model’s expected format.\n\n## Model Index\n\n- Ovi: `references\u002Fmodels\u002Fovi\u002Fprompting.md`\n- Sora (Sora 2): `references\u002Fmodels\u002Fsora\u002Fprompting.md`\n- Veo 3 \u002F 3.1: `references\u002Fmodels\u002Fveo3\u002Fprompting.md`\n- Wan 2.2: `references\u002Fmodels\u002Fwan22\u002Fprompting.md`\n- LTX-2: `references\u002Fmodels\u002Fltx2\u002Fprompting.md`\n- LTX-2.3: `references\u002Fmodels\u002Fltx2-3\u002Fprompting.md`\n\nTo add a new model later: create `references\u002Fmodels\u002F\u003Cmodel>\u002Fprompting.md`, then add it to this index.\n\n## Workflow\n\n### Step 1 — Identify the model and input mode\n\nIf the user did not name a model, ask which model they are using (or offer supported options from the Model Index).\n\nThen confirm the input mode:\n\n- Text-to-video (t2v), or\n- Image-to-video (i2v)\n\nIf i2v: ask the user to share the image (optional, but it will help you generate a better prompt). Use the image as an anchor according to the chosen model’s guidance (e.g., keep identity\u002Fwardrobe\u002Fcomposition stable; focus your text on motion\u002Fcamera\u002Fwhat changes).\n\nIf the chosen model has versions, duration constraints, or required parameters, ask the minimum questions needed to select the right format (see the model guide).\nFor LTX-2.3 specifically: default to a 10-second clip when duration is missing, ask if the user wants shorter or longer, and scale motion complexity to match that duration.\n\n### Step 2 — Load the model reference and follow its format\n\nOpen the model’s `prompting.md` from the Model Index and follow its rules strictly (tokens, audio formatting, parameter constraints, recommended structure).\n\n### Step 3 — Draft the prompt as a coherent clip\n\nDefault structure (adapt to the model’s style and required sections):\n\n1. Subject(s): who\u002Fwhat, distinctive details\n2. Setting: where\u002Fwhen, lighting, mood\n3. Action progression: what changes over time (start → beat → beat → end)\n4. Camera: framing\u002Fmovement only if it matters\n5. Dialogue\u002Faudio: only if the model supports it, using the model’s exact format\n\nAvoid keyword soup. Prefer a single, well-described shot unless the user explicitly wants multiple cuts\u002Fshots.\n\n### Step 4 — Output\n\nDefault: output only the final prompt text.\n\nIf the user asks for options: provide 2–3 distinct prompt variants, each fully self-contained and compliant with the model’s formatting.\n\nIf the model uses required API parameters (e.g., duration\u002Fsize), include a short “Recommended parameters” line only when the user has specified them or explicitly asks for them.\n",{"name":5,"description":7},"main","cbdd44aae21131521c09e42762e36178c790eacf","public\u002FSKILLS\u002FMedia & Content\u002Fvideo-prompting-skill",13,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one","http:\u002F\u002Fhuangchiyu.com\u002FSKILLS_All-in-one\u002F","https:\u002F\u002Fgithub.com\u002Feric861129","https:\u002F\u002Fhuangchiyu.com\u002FChiYu-Blog\u002F","開發工程師，專注於 C#／.NET 系統現代化、AI-assisted engineering、開源工具與技術寫作。","2026-04-16 14:28:14",{"source":8,"skillName":5,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add eric861129\u002FSKILLS_All-in-one --skill video-prompting",{"tool":65,"command":66},"bunx","bunx skills add eric861129\u002FSKILLS_All-in-one --skill video-prompting",{"tool":68,"command":69},"pnpm","pnpm dlx skills add eric861129\u002FSKILLS_All-in-one --skill video-prompting","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FMedia & Content\u002Fvideo-prompting-skill\u002FSKILL.md",true,[73,79,83,87,91,97,101,105,109,113,117,121],{"path":74,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":77,"sourceHtmlUrl":78},"references\u002Faso_rules.md","REFERENCE","参考文档",3989,"https:\u002F\u002Fgithub.com\u002Filderaj\u002Fagent-plugin-marketplace\u002Fblob\u002Fmain\u002Fplugins\u002Fcommunity--asc-cli-skills\u002Fskills\u002Fasc-aso-audit\u002Freferences\u002Faso_rules.md",{"path":80,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":81,"sourceHtmlUrl":82},"references\u002Fmodels\u002Fltx2-3\u002Fprompting.md",4543,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FMedia & Content\u002Fvideo-prompting-skill\u002Freferences\u002Fmodels\u002Fltx2-3\u002Fprompting.md",{"path":84,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":85,"sourceHtmlUrl":86},"references\u002Fmodels\u002Fltx2\u002Fexample_prompts\u002Fltx2_examples.md",10340,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FMedia & Content\u002Fvideo-prompting-skill\u002Freferences\u002Fmodels\u002Fltx2\u002Fexample_prompts\u002Fltx2_examples.md",{"path":88,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":89,"sourceHtmlUrl":90},"references\u002Fmodels\u002Fltx2\u002Fprompting.md",5495,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FMedia & Content\u002Fvideo-prompting-skill\u002Freferences\u002Fmodels\u002Fltx2\u002Fprompting.md",{"path":92,"resourceType":93,"resourceTypeDesc":94,"sizeBytes":95,"sourceHtmlUrl":96},"references\u002Fmodels\u002Fovi\u002Fexample_prompts\u002Fgpt_examples_10s_i2v.csv","ASSET","资产文件",12742,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FMedia & Content\u002Fvideo-prompting-skill\u002Freferences\u002Fmodels\u002Fovi\u002Fexample_prompts\u002Fgpt_examples_10s_i2v.csv",{"path":98,"resourceType":93,"resourceTypeDesc":94,"sizeBytes":99,"sourceHtmlUrl":100},"references\u002Fmodels\u002Fovi\u002Fexample_prompts\u002Fgpt_examples_10s_t2v.csv",12291,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FMedia & Content\u002Fvideo-prompting-skill\u002Freferences\u002Fmodels\u002Fovi\u002Fexample_prompts\u002Fgpt_examples_10s_t2v.csv",{"path":102,"resourceType":93,"resourceTypeDesc":94,"sizeBytes":103,"sourceHtmlUrl":104},"references\u002Fmodels\u002Fovi\u002Fexample_prompts\u002Fgpt_examples_i2v.csv",20469,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FMedia & Content\u002Fvideo-prompting-skill\u002Freferences\u002Fmodels\u002Fovi\u002Fexample_prompts\u002Fgpt_examples_i2v.csv",{"path":106,"resourceType":93,"resourceTypeDesc":94,"sizeBytes":107,"sourceHtmlUrl":108},"references\u002Fmodels\u002Fovi\u002Fexample_prompts\u002Fgpt_examples_t2v.csv",8762,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FMedia & Content\u002Fvideo-prompting-skill\u002Freferences\u002Fmodels\u002Fovi\u002Fexample_prompts\u002Fgpt_examples_t2v.csv",{"path":110,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":111,"sourceHtmlUrl":112},"references\u002Fmodels\u002Fovi\u002Fprompting.md",1992,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FMedia & Content\u002Fvideo-prompting-skill\u002Freferences\u002Fmodels\u002Fovi\u002Fprompting.md",{"path":114,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":115,"sourceHtmlUrl":116},"references\u002Fmodels\u002Fsora\u002Fprompting.md",4537,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FMedia & Content\u002Fvideo-prompting-skill\u002Freferences\u002Fmodels\u002Fsora\u002Fprompting.md",{"path":118,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":119,"sourceHtmlUrl":120},"references\u002Fmodels\u002Fveo3\u002Fprompting.md",3028,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FMedia & Content\u002Fvideo-prompting-skill\u002Freferences\u002Fmodels\u002Fveo3\u002Fprompting.md",{"path":122,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":123,"sourceHtmlUrl":124},"references\u002Fmodels\u002Fwan22\u002Fprompting.md",4442,"https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FMedia & Content\u002Fvideo-prompting-skill\u002Freferences\u002Fmodels\u002Fwan22\u002Fprompting.md",[126,153,186,214,238,257],{"skillNo":127,"name":128,"nameZh":6,"description":129,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":130,"categories":131,"keywords":133,"publishedAt":44},"01M6CZ1WR3KNVTKSWH4GNWT646","what-if-oracle","Run structured What-If scenario analysis with multi-branch possibility exploration. Use this skill when the user asks speculative questions like \"what if...\", \"what would happen if...\", \"what are the possibilities\", \"explore scenarios\", \"scenario analysis\", \"possibility space\", \"what could go wrong\", \"best case \u002F worst case\", \"risk analysis\", \"contingency planning\", \"strategic options\", or any question about uncertain futures. Also trigger when the user faces a fork-in-the-road decision, wants to stress-test an idea, or needs to think through consequences before committing.","https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FWriting & Research\u002Fwhat-if-oracle\u002FSKILL.md",[132],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[134,135,136,137,138,139,140,141,142,143,144,145,146,147,34,148,149,150,151,152],"oracle","what if oracle","go","run","planning","ux","futures","risk","analysis","explore","decision","branch","question","read","idea","exploration","options","stress-test","strategies",{"skillNo":154,"name":155,"nameZh":6,"description":156,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":157,"categories":158,"keywords":171,"publishedAt":44},"01M6CZ1QHGJE91A95MSN5EK5Q9","venue-templates","Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.","https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FWriting & Research\u002Fvenue-templates\u002FSKILL.md",[159,162,165,166],{"categoryNo":160,"categoryName":161,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":163,"categoryName":164,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":167,"categoryName":168,"taxonomyType":169,"taxonomyTypeDesc":170},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[172,173,174,175,176,177,178,179,180,181,147,34,182,183,184,185],"templates","venue templates","research","guidelines","NeurIPS","ICML","LaTeX","science","Bash","access","edit","proposals","Academic","requirements",{"skillNo":187,"name":188,"nameZh":6,"description":189,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":190,"categories":191,"keywords":196,"publishedAt":44},"01M6CZ1KBQD2E5RTFB3BGVX7CD","the-fool","Use when challenging ideas, plans, decisions, or proposals using structured critical reasoning. Invoke to play devil's advocate, run a pre-mortem, red team, or audit evidence and assumptions.","https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FWriting & Research\u002Fthe-fool\u002FSKILL.md",[192,193],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":194,"categoryName":195,"taxonomyType":169,"taxonomyTypeDesc":170},"01JBSEEDCAT000000000000030","开发工程师",[197,198,136,199,200,137,201,202,203,204,205,206,207,208,183,209,210,211,212,213],"the fool","review","workflow","architecture","code","audit","forge","devil","team","designer","reviewer","challenge","stress test","evidence","expert","poke","ideas",{"skillNo":215,"name":216,"nameZh":6,"description":217,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":218,"categories":219,"keywords":223,"publishedAt":44},"01M6CZ1ES826S7P1X3333E40TA","scientific-writing","Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA\u002FAMA\u002FVancouver), figures\u002Ftables, reporting guidelines (CONSORT\u002FSTROBE\u002FPRISMA), for research papers and journal submissions.","https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FWriting & Research\u002Fscientific-writing\u002FSKILL.md",[220,221,222],{"categoryNo":160,"categoryName":161,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":167,"categoryName":168,"taxonomyType":169,"taxonomyTypeDesc":170},[224,225,175,226,227,228,229,230,180,231,147,34,182,36,232,233,234,235,236,237],"writing","scientific writing","core","reporting","deep research","Citations","Outlines","tool","never","structure","deep","full","stage","prisma",{"skillNo":239,"name":240,"nameZh":6,"description":241,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":242,"categories":243,"keywords":245,"publishedAt":44},"01M6CZ1B2JGJTB9FRD0TW4RXXE","scientific-brainstorming","Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.","https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FWriting & Research\u002Fscientific-brainstorming\u002FSKILL.md",[244],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[246,247,174,248,138,249,250,251,36,252,253,254,149,255,256,236,42],"brainstorming","scientific brainstorming","sessions","data","hypothesis","open","ideation","creative","do","connections","research ideation",{"skillNo":258,"name":259,"nameZh":6,"description":260,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":261,"categories":262,"keywords":269,"publishedAt":44},"01M6CZ16JG8N7A2ZX04BGE8J2Y","research-lookup","Look up current research information using the Parallel Chat API (primary) or Perplexity sonar-pro-search (academic paper searches). Automatically routes queries to the best backend. Use for finding papers, gathering research data, and verifying scientific information.","https:\u002F\u002Fgithub.com\u002Feric861129\u002FSKILLS_All-in-one\u002Fblob\u002Fmain\u002Fpublic\u002FSKILLS\u002FWriting & Research\u002Fresearch-lookup\u002FSKILL.md",[263,266,267,268],{"categoryNo":264,"categoryName":265,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":163,"categoryName":164,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":194,"categoryName":195,"taxonomyType":169,"taxonomyTypeDesc":170},[174,270,271,272,249,273,274,180,275,276,147,34,182,36,277,278,279,280,281,184],"lookup","research lookup","search","perplexity","api","parallel","openrouter","backend","up","look","queries","chat"]