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hackathon-problem-space黑客马拉松问题空间

Agent Skill

hackathon-problem-space 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

416

周安装

17

GitHub Stars

1

下载量

135
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-problem-space(黑客马拉松问题空间)
来源仓库:https://github.com/bernieweb3/hackathon-ai-devkit
仓库路径:skills/hackathon-problem-space
安装命令:
npx skills add https://github.com/bernieweb3/hackathon-ai-devkit --skill hackathon-problem-space
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-problem-space

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-problem-space

Goal

Map the problem domain for a hackathon project by identifying target users, core pain points, existing solutions, and whitespace opportunities.


Trigger Conditions

Use this skill when:

  • A hackathon track has been analyzed and track_summary is available
  • The team needs to identify who the target user is before generating ideas
  • The problem domain is broad and must be narrowed before ideation
  • Existing solutions must be surveyed to identify gaps worth exploiting
  • Invoked immediately after hackathon-track-analyzer completes

Inputs

InputTypeRequiredDescription
track_summarystringYesOutput from hackathon-track-analyzer or manual description
domainstringYesBroad domain area (e.g., healthcare, fintech, education)
target_user_hintstringNoInitial hypothesis about target user segment
constraintsstring[]NoKnown technical or sponsor constraints

Outputs

OutputDescription
user_segmentsIdentified user groups with brief profiles
pain_pointsRanked list of pain points per user segment
existing_solutionsKnown tools or approaches currently addressing the problem
solution_gapsGaps in existing solutions that represent opportunity
problem_statementOne-sentence problem statement (how-might-we format)
market_signalsEvidence that this problem is real and worth solving
recommended_skillsSuggested next skills to invoke

Rules

  1. Identify at least 2 distinct user segments.
  2. Rank pain points from most to least severe for each segment.
  3. List at least 3 existing solutions with their key limitations.
  4. Derive solution gaps from the delta between pain points and existing solution limitations.
  5. Write the problem statement as: "How might we [action] for [user] so that [outcome]?"
  6. Do not invent market signals; clearly mark inferred signals as [INFERRED].

Output Format

user_segments:
  - segment: "<name>"
    profile: "<brief description>"

pain_points:
  - segment: "<name>"
    pains:
      - severity: "<high|medium|low>"
        description: "<pain>"

existing_solutions:
  - name: "<solution>"
    limitation: "<key gap>"

solution_gaps:
  - "<gap description>"

problem_statement: "<How might we ...>"

market_signals:
  - source: "<real|[INFERRED]>"
    signal: "<description>"

recommended_skills:
  - "<skill-name>"

Example

Input:

track_summary: "Use AI to improve mental health outcomes for young adults."
domain: "mental health / digital health"
target_user_hint: "college students experiencing anxiety"
constraints:
  - "Must use OpenAI GPT-4 API"

Output:

user_segments:
  - segment: "College students"
    profile: "Ages 18–22, high stress, low access to campus counseling"
  - segment: "Young professionals"
    profile: "Ages 23–30, work-related burnout, too busy for scheduled therapy"

pain_points:
  - segment: "College students"
    pains:
      - severity: "high"
        description: "2–6 week wait times for campus counseling appointments"
      - severity: "high"
        description: "Stigma prevents help-seeking behavior"

existing_solutions:
  - name: "Woebot"
    limitation: "Rigid scripted responses; no memory across sessions"
  - name: "BetterHelp"
    limitation: "Expensive ($60–$100/week); not accessible to students"
  - name: "Headspace"
    limitation: "Meditation only; does not address acute anxiety episodes"

solution_gaps:
  - "No affordable, always-available, context-aware emotional support for acute moments"
  - "No peer-community facilitation layer between self-help and professional care"

problem_statement: "How might we provide always-available emotional support for college students so that they can manage anxiety between professional appointments?"

market_signals:
  - source: "real"
    signal: "40% of US college students reported anxiety as top mental health concern (ACHA 2023)"
  - source: "[INFERRED]"
    signal: "Rising demand for async, text-based support given phone anxiety in Gen Z"

recommended_skills:
  - "hackathon-idea-generator"

Context Files

Knowledge Base

  • knowledge/hackathon-judging-criteria.md
  • knowledge/hackathon-winning-patterns.md
  • knowledge/hackathon-mvp-strategy.md
  • knowledge/hackathon-common-failures.md

Playbooks

  • playbooks/hackathon-workflow.md

适合场景

01

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

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

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

34.58%
按下载量换算47

Claude

31.61%
按下载量换算43

Cursor

17.72%
按下载量换算24

Gemini CLI

9.44%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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