{ "$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" } }