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hackathon-demo-script黑客马拉松演示脚本

Agent Skill

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。

总安装

687

周安装

12

GitHub Stars

1

下载量

97
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

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用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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

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通过

Snyk

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权限和风险

敏感数据

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安装前确认

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