nexu-io--open-design
176 行
5.9 KiB
JSON
176 行
5.9 KiB
JSON
{
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"$schema": "https://open-design.ai/schemas/plugin.v1.json",
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"specVersion": "1.0.0",
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"name": "example-fs-notebook-tabs",
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"title": "Defend a CS Capstone like a Top Thesis Advisor",
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"title_i18n": {
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"en": "Defend a CS Capstone like a Top Thesis Advisor",
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"zh-CN": "像顶级导师一样答辩计算机毕业项目",
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"zh-TW": "像顶级导师一样答辩计算机毕业项目"
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},
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"version": "1.0.0",
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"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.",
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"description_i18n": {
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"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.",
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"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。",
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"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。"
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},
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"license": "MIT",
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"author": {
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"name": "zarazhangrui",
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"url": "https://github.com/zarazhangrui"
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},
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"homepage": "https://github.com/zarazhangrui/frontend-slides",
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"plugin": {
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"repo": "https://github.com/zarazhangrui/frontend-slides"
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},
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"tags": [
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"community",
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"deck",
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"slides",
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"presentation",
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"notebook",
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"editorial",
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"paper",
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"web",
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"ppt",
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"consulting-deliverable",
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"strategy",
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"client",
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"fs-notebook-tabs",
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"consulting-delivery",
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"student-coursework",
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"senior-capstone-defense-deck",
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"education",
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"coursework",
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"defense",
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"academic",
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"decision-deck",
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"commercial-slide-agent"
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],
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"compat": {
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"agentSkills": [
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{
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"path": "./SKILL.md"
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}
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]
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},
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"od": {
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"kind": "scenario",
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"taskKind": "new-generation",
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"mode": "deck",
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"scenario": "education",
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"surface": "web",
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"preview": {
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"type": "html",
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"entry": "./example.html",
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"motion": "deck"
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},
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"useCase": {
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"query": {
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"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.",
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"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。"
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},
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"exampleOutputs": [
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{
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"path": "./example.html",
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"title": "Defend a CS Capstone like a Top Thesis Advisor",
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"title_i18n": {
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"en": "Defend a CS Capstone like a Top Thesis Advisor",
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"zh-CN": "像顶级导师一样答辩计算机毕业项目",
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"zh-TW": "像顶级导师一样答辩计算机毕业项目"
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}
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}
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]
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},
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"inputs": [
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{
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"name": "deckType",
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"label": "Deck type",
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"type": "select",
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"required": true,
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"options": [
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"annual report / review",
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"editorial plan",
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"pitch deck",
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"internal presentation",
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"teaching / tutorial deck",
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"product overview"
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],
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"default": "annual report / review"
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},
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{
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"name": "topic",
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"label": "Topic",
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"type": "string",
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"required": true,
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"placeholder": "An independent print studio's year in review",
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"default": "the user's brief"
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},
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{
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"name": "audience",
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"label": "Audience",
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"type": "string",
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"required": true,
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"placeholder": "Readers, patrons, and stockists",
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"default": "a general professional audience"
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},
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{
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"name": "slideCount",
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"label": "Length",
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"type": "select",
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"required": true,
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"options": [
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"short 8-10 slides",
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"medium 10-15 slides",
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"long 15+ slides"
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],
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"default": "short 8-10 slides"
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},
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{
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"name": "density",
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"label": "Density",
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"type": "select",
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"required": true,
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"options": [
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"low density / speaker-led",
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"high density / reading-first"
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],
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"default": "low density / speaker-led"
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}
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],
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"context": {
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"skills": [
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{
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"path": "./SKILL.md"
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}
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],
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"assets": [
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"./example.html"
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]
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},
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"pipeline": {
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"stages": [
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{
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"id": "discovery",
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"atoms": [
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"discovery-question-form"
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]
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},
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{
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"id": "generate",
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"atoms": [
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"file-write",
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"live-artifact"
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]
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}
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]
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},
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"capabilities": [
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"prompt:inject",
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"fs:write"
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],
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"category": "student-coursework"
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}
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}
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