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{
"$schema": "https://open-design.ai/schemas/plugin.v1.json",
"specVersion": "1.0.0",
"name": "example-fs-notebook-tabs",
"title": "Defend a CS Capstone like a Top Thesis Advisor",
"title_i18n": {
"en": "Defend a CS Capstone like a Top Thesis Advisor",
"zh-CN": "像顶级导师一样答辩计算机毕业项目",
"zh-TW": "像顶级导师一样答辩计算机毕业项目"
},
"version": "1.0.0",
"description": "A computer-science capstone: an on-device ML keyboard that predicts next words privately — problem, method, evaluation, and defense answers. Built as a decision-grade coursework defense deck for professor, defense committee.",
"description_i18n": {
"en": "A computer-science capstone: an on-device ML keyboard that predicts next words privately — problem, method, evaluation, and defense answers. Built as a decision-grade coursework defense deck for professor, defense committee.",
"zh-CN": "像顶级导师一样答辩计算机毕业项目——一份可商业交付的课业答辩 Deck,围绕真实主题、证据链与决策目标组织。",
"zh-TW": "像顶级导师一样答辩计算机毕业项目——一份可商业交付的课业答辩 Deck,围绕真实主题、证据链与决策目标组织。"
},
"license": "MIT",
"author": {
"name": "zarazhangrui",
"url": "https://github.com/zarazhangrui"
},
"homepage": "https://github.com/zarazhangrui/frontend-slides",
"plugin": {
"repo": "https://github.com/zarazhangrui/frontend-slides"
},
"tags": [
"community",
"deck",
"slides",
"presentation",
"notebook",
"editorial",
"paper",
"web",
"ppt",
"consulting-deliverable",
"strategy",
"client",
"fs-notebook-tabs",
"consulting-delivery",
"student-coursework",
"senior-capstone-defense-deck",
"education",
"coursework",
"defense",
"academic",
"decision-deck",
"commercial-slide-agent"
],
"compat": {
"agentSkills": [
{
"path": "./SKILL.md"
}
]
},
"od": {
"kind": "scenario",
"taskKind": "new-generation",
"mode": "deck",
"scenario": "education",
"surface": "web",
"preview": {
"type": "html",
"entry": "./example.html",
"motion": "deck"
},
"useCase": {
"query": {
"en": "Create \"Defend a CS Capstone like a Top Thesis Advisor\" as a decision-grade Student coursework deck in this template's own visual system. Subject: A computer-science capstone: an on-device ML keyboard that predicts next words privately — problem, method, evaluation, and defense answers. Audience: professor, defense committee. First ask only for missing essentials: audience, decision target, source-of-truth materials, deadline, and must-keep numbers. Then produce the slide plan, written slides, visual direction, speaker-ready structure, and a critic pass against this rubric: can a reviewer find the contribution, evidence, and limitation in under 90 seconds.",
"zh-CN": "像顶级导师一样答辩计算机毕业项目。像顶级导师一样答辩计算机毕业项目——一份可商业交付的课业答辩 Deck,围绕真实主题、证据链与决策目标组织。 主题:A computer-science capstone: an on-device ML keyboard that predicts next words privately — problem, method, evaluation, and defense answers. 先确认受众、决策目标、素材来源、截止时间和必须保留的数据,再输出叙事主线、页面规划、逐页文案、视觉方向和按评审标准自检的版本。"
},
"exampleOutputs": [
{
"path": "./example.html",
"title": "Defend a CS Capstone like a Top Thesis Advisor",
"title_i18n": {
"en": "Defend a CS Capstone like a Top Thesis Advisor",
"zh-CN": "像顶级导师一样答辩计算机毕业项目",
"zh-TW": "像顶级导师一样答辩计算机毕业项目"
}
}
]
},
"inputs": [
{
"name": "deckType",
"label": "Deck type",
"type": "select",
"required": true,
"options": [
"annual report / review",
"editorial plan",
"pitch deck",
"internal presentation",
"teaching / tutorial deck",
"product overview"
],
"default": "annual report / review"
},
{
"name": "topic",
"label": "Topic",
"type": "string",
"required": true,
"placeholder": "An independent print studio's year in review",
"default": "the user's brief"
},
{
"name": "audience",
"label": "Audience",
"type": "string",
"required": true,
"placeholder": "Readers, patrons, and stockists",
"default": "a general professional audience"
},
{
"name": "slideCount",
"label": "Length",
"type": "select",
"required": true,
"options": [
"short 8-10 slides",
"medium 10-15 slides",
"long 15+ slides"
],
"default": "short 8-10 slides"
},
{
"name": "density",
"label": "Density",
"type": "select",
"required": true,
"options": [
"low density / speaker-led",
"high density / reading-first"
],
"default": "low density / speaker-led"
}
],
"context": {
"skills": [
{
"path": "./SKILL.md"
}
],
"assets": [
"./example.html"
]
},
"pipeline": {
"stages": [
{
"id": "discovery",
"atoms": [
"discovery-question-form"
]
},
{
"id": "generate",
"atoms": [
"file-write",
"live-artifact"
]
}
]
},
"capabilities": [
"prompt:inject",
"fs:write"
],
"category": "student-coursework"
}
}