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hackathon-track-analyzer黑客马拉松赛道分析仪

Agent Skill

hackathon-track-analyzer 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

343

周安装

14

GitHub Stars

1

下载量

111
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-track-analyzer(黑客马拉松赛道分析仪)
来源仓库:https://github.com/bernieweb3/hackathon-ai-devkit
仓库路径:skills/hackathon-track-analyzer
安装命令:
npx skills add https://github.com/bernieweb3/hackathon-ai-devkit --skill hackathon-track-analyzer
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-track-analyzer

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-track-analyzer

Goal

Parse hackathon track descriptions, sponsor briefs, and theme statements to extract structured constraints, evaluation criteria, and strategic opportunities.


Trigger Conditions

Use this skill when:

  • A hackathon track description, theme, or event page is available
  • Sponsor briefs or prize track details need to be parsed
  • Judging criteria or a scoring rubric must be structured before ideation begins
  • The team needs to understand disqualifying constraints before committing to an idea
  • This is always the first skill invoked in any hackathon workflow

Inputs

InputTypeRequiredDescription
track_descriptionstringYesRaw text of the hackathon track or theme announcement
sponsor_briefsstring[]NoSponsor challenge briefs or prize track descriptions
judging_rubricstringNoAny published judging criteria or scoring rubric
hackathon_duration_hoursintegerYesTotal hackathon duration in hours

Outputs

OutputDescription
track_summaryOne-sentence summary of the track's core theme
required_constraintsMandatory constraints teams must satisfy
optional_constraintsNice-to-have constraints for bonus scoring
sponsor_prioritiesOrdered list of what each sponsor values most
evaluation_axesScoring dimensions extracted from rubric or inferred
strategic_opportunitiesHigh-leverage angles or underserved areas within the track
disqualifiersConditions that would disqualify a submission
recommended_skillsSuggested devkit skills to invoke next

Rules

  1. Extract only what is explicitly stated or strongly implied; do not fabricate constraints.
  2. Prioritize mandatory constraints over optional ones.
  3. Flag ambiguous language with [AMBIGUOUS] marker.
  4. Map each sponsor's stated priorities to 1–3 concrete actionable requirements.
  5. Identify at least one underexplored strategic opportunity per track.
  6. Output recommended_skills drawn only from the hackathon-ai-devkit skill list.

Output Format

track_summary: "<string>"

required_constraints:
  - "<constraint>"

optional_constraints:
  - "<constraint>"

sponsor_priorities:
  - sponsor: "<name>"
    priorities:
      - "<priority>"

evaluation_axes:
  - axis: "<name>"
    weight: "<high|medium|low>"
    description: "<string>"

strategic_opportunities:
  - "<opportunity>"

disqualifiers:
  - "<condition>"

recommended_skills:
  - "<skill-name>"

Example

Input:

track_description: "Build solutions that use AI to improve mental health outcomes for young adults."
sponsor_briefs:
  - "OpenAI: Best use of GPT-4 API for empathetic user interactions"
judging_rubric: "Innovation (30%), Impact (30%), Technical execution (20%), Presentation (20%)"
hackathon_duration_hours: 24

Output:

track_summary: "Use AI to improve mental health outcomes for young adults."

required_constraints:
  - "Solution must demonstrably address mental health for ages 18–30"

optional_constraints:
  - "Bonus scoring for use of OpenAI GPT-4 API"

sponsor_priorities:
  - sponsor: "OpenAI"
    priorities:
      - "Empathetic, context-aware conversational responses"
      - "Responsible AI usage with safety guardrails"

evaluation_axes:
  - axis: "Innovation"
    weight: "high"
    description: "Novel approach to mental health support beyond generic chatbots"
  - axis: "Impact"
    weight: "high"
    description: "Measurable improvement in user wellbeing or access to resources"

strategic_opportunities:
  - "Underserved: peer-support facilitation rather than direct therapy replacement"

disqualifiers:
  - "Solutions that claim to diagnose or treat clinical conditions"

recommended_skills:
  - "hackathon-problem-space"
  - "hackathon-idea-generator"

Context Files

Knowledge Base

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

Playbooks

  • playbooks/hackathon-workflow.md
  • playbooks/24h-hackathon-playbook.md
  • playbooks/36h-hackathon-playbook.md
  • playbooks/48h-hackathon-playbook.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

35.76%
按下载量换算40

Claude

26.16%
按下载量换算29

Cursor

18.93%
按下载量换算21

Gemini CLI

9.63%
按下载量换算11

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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