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Agent Skill · 前端设计

hackathon-demo-script(黑客马拉松演示脚本)

hackathon-demo-script 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

hackathon-demo-script 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 5,363。

总安装 687周安装 12GitHub Stars 1下载 97核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:hackathon-demo-script(黑客马拉松演示脚本)
来源仓库:https://github.com/bernieweb3/hackathon-ai-devkit
仓库路径:skills/hackathon-demo-script
安装命令:
npx skills add https://github.com/bernieweb3/hackathon-ai-devkit --skill hackathon-demo-script
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/bernieweb3/hackathon-ai-devkit --skill hackathon-demo-script

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

用于处理 GitHub 仓库、Issue 和 Pull Request 信息,协助代码协作与变更管理。适合在需要围绕仓库状态或代码变更进行整理时使用,支持多宿主环境。通过 npx skills add 命令从指定仓库安装,具体用法请参考原始 README。安装前应确认权限范围、维护状态,并评估是否会触发联网或文件操作。

注意:避免直接执行未经验证的命令,防止误改生产环境代码。

来源仓库内路径:skills/hackathon-demo-script

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/bernieweb3/hackathon-ai-devkit --skill hackath…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

hackathon-demo-script 怎么安装?

在终端执行 npx skills add https://github.com/bernieweb3/hackathon-ai-devkit --skill hackathon-demo-sc…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

hackathon-demo-script 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

hackathon-demo-script 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

hackathon-demo-script 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

hackathon-demo-script 用的人多吗?

公开数据是累计安装 687 次,近一周安装 12 次,下载 97 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

hackathon-demo-script 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
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frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
hackathon-demo-script

黑客马拉松演示脚本 · 本页

6871接触敏感数据未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

hackathon-demo-script

Goal

Generate a rehearsable 60–90 second demo narrative for a hackathon presentation, including step-by-step demo flow, spoken lines per step, and explicit staging of the primary wow moment for maximum judge impact.


Trigger Conditions

Use this skill when:

  • The MVP demo flow is implemented and stable
  • A live presentation demo script is needed (distinct from a recorded video script)
  • The presenter needs spoken lines and transition cues for a live demo
  • The team must rehearse a consistent narrative before judging
  • Invoked during Phase 6 (Demo Preparation), in parallel with hackathon-pitchdeck; complements hackathon-demo-video for live presentation use

Inputs

InputTypeRequiredDescription
project_titlestringYesName of the project
taglinestringYesOne-sentence project description
problem_statementstringYesThe problem being solved
mvp_demo_flowobject[]YesDemo steps from hackathon-scope-cutter
primary_wow_momentstringYesThe single most impressive moment from hackathon-wow-detector
target_userstringYesPrimary user segment
evaluation_axesobject[]YesJudging criteria from hackathon-track-analyzer
demo_duration_secondsintegerNoTarget demo length in seconds (default: 75)
presenter_countintegerNoNumber of presenters (default: 1); used to split narration

Outputs

OutputDescription
demo_narrativeFull prose narrative of the demo from opening to close
demo_flowStep-by-step demo with spoken lines, screen actions, and timing
wow_moment_stagingExact staging instructions for the primary wow moment
transition_cuesVerbal cues to move between demo steps smoothly
rehearsal_checklistItems to verify before the live presentation
recommended_skillsSuggested next skills to invoke

Rules

  1. Total demo_flow timing must be within demo_duration_seconds ± 10 seconds.
  2. Open with the problem or a user story — never with "Hi, we're team X and we built..."
  3. primary_wow_moment must appear before 60% of demo_duration_seconds.
  4. Every step in mvp_demo_flow must map to at least one demo_flow step.
  5. Spoken lines per step must be 15 words or fewer — short enough to say confidently while operating the UI.
  6. wow_moment_staging must include: pause instruction, what to say, what the audience sees.
  7. rehearsal_checklist must include: demo account state, test data loaded, browser/app state, notifications disabled.

Output Format

demo_narrative: |
  <Full prose narrative — 3–5 sentences summarising the complete demo arc>

demo_flow:
  - step: <number>
    timestamp_start_seconds: <number>
    timestamp_end_seconds: <number>
    screen_action: "<what to do on screen>"
    spoken_lines: "<what to say>"
    presenter: "<presenter 1|presenter 2|all>"
    is_wow_moment: <true|false>

wow_moment_staging:
  step: <number>
  setup: "<what to say or do immediately before>"
  action: "<the exact on-screen action>"
  pause_seconds: <number>
  what_audience_sees: "<description>"
  spoken_reveal: "<what to say after the pause>"

transition_cues:
  - from_step: <number>
    to_step: <number>
    spoken_cue: "<bridging phrase>"

rehearsal_checklist:
  - "<item>"

recommended_skills:
  - "<skill-name>"

Example

Input:

project_title: "AnchorAI"
tagline: "An AI companion that remembers your emotional journey."
problem_statement: "College students wait 6 weeks for counseling while anxiety compounds daily."
mvp_demo_flow:
  - step: 1
    action: "User types 'I'm feeling overwhelmed today'"
    outcome: "AI responds empathetically"
  - step: 2
    action: "User describes recurring work stress"
    outcome: "AI references last week's conversation from memory"
  - step: 3
    action: "User expresses hopelessness"
    outcome: "Crisis resource card appears"
primary_wow_moment: "AI recalls emotional context from 3 days ago and adapts tone in real time"
target_user: "College students with anxiety"
evaluation_axes:
  - axis: "Innovation"
    weight: "high"
  - axis: "Impact"
    weight: "high"
demo_duration_seconds: 75
presenter_count: 1

Output:

demo_narrative: |
  AnchorAI solves a simple problem: 40% of college students live with anxiety, but the average campus counseling wait is 6 weeks. AnchorAI provides always-available, context-aware emotional support — and unlike every other AI tool, it actually remembers you. Watch a student check in after a hard week, and see how AnchorAI picks up exactly where they left off.

demo_flow:
  - step: 1
    timestamp_start_seconds: 0
    timestamp_end_seconds: 12
    screen_action: "Open AnchorAI chat interface; type 'I'm feeling overwhelmed today'"
    spoken_lines: "Meet Alex. It's exam week. Alex opens AnchorAI and checks in."
    presenter: "presenter 1"
    is_wow_moment: false

  - step: 2
    timestamp_start_seconds: 12
    timestamp_end_seconds: 42
    screen_action: "Type 'I keep worrying about the same things as last week'"
    spoken_lines: "Alex mentions the same stress from last week. Watch what AnchorAI does."
    presenter: "presenter 1"
    is_wow_moment: true

  - step: 3
    timestamp_start_seconds: 42
    timestamp_end_seconds: 65
    screen_action: "Type 'I feel completely hopeless'; observe crisis card appear"
    spoken_lines: "When Alex signals distress, AnchorAI responds with care — and resources."
    presenter: "presenter 1"
    is_wow_moment: false

  - step: 4
    timestamp_start_seconds: 65
    timestamp_end_seconds: 75
    screen_action: "Hold on the full screen"
    spoken_lines: "No waitlist. No starting over. AnchorAI — always there."
    presenter: "presenter 1"
    is_wow_moment: false

wow_moment_staging:
  step: 2
  setup: "Pause after typing the message. Don't speak for 2 seconds while the response loads."
  action: "Scroll slowly to highlight the sentence where AnchorAI references 'last week's exam stress you mentioned'"
  pause_seconds: 3
  what_audience_sees: "AI response contains a specific reference to prior session content — without being prompted"
  spoken_reveal: "AnchorAI remembered. Without being told. That's the difference."

transition_cues:
  - from_step: 1
    to_step: 2
    spoken_cue: "Alex has been here before. Let's see if AnchorAI remembers."
  - from_step: 2
    to_step: 3
    spoken_cue: "But what happens when things get harder?"
  - from_step: 3
    to_step: 4
    spoken_cue: "That's AnchorAI. Built for the moments between appointments."

rehearsal_checklist:
  - "Browser notifications disabled (OS and Chrome)"
  - "Demo account pre-loaded with 1 prior Supabase session containing 'exam stress' phrase"
  - "Chat interface loaded and visible at correct zoom level (125%)"
  - "Groq API key verified active with a test request"
  - "Run full demo flow twice before judging; verify wow moment appears consistently"
  - "Fallback screen recording ready in case of API failure"

recommended_skills:
  - "hackathon-pitchdeck"
  - "hackathon-judge-simulator"

Context Files

Knowledge Base

  • knowledge/hackathon-demo-psychology.md
  • knowledge/hackathon-demo-patterns.md
  • knowledge/hackathon-pitch-strategy.md
  • knowledge/hackathon-winning-patterns.md

Templates

  • templates/demo-script-template.md

Playbooks

  • playbooks/hackathon-workflow.md

平台分布

Codex

37.21%
按下载量换算36

Claude

28.22%
按下载量换算27

Cursor

17.87%
按下载量换算17

Gemini CLI

9.39%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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