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Agent Skill · 研究检索

cloud-challenges(云挑战)

cloud-challenges 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

cloud-challenges 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 57,063。

总安装 441周安装 18GitHub Stars 公开资料未说明下载 143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
MIT

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:cloud-challenges(云挑战)
来源仓库:https://github.com/vamseeachanta/workspace-hub
仓库路径:skills/cloud-challenges
安装命令:
npx skills add vamseeachanta/workspace-hub --skill "cloud-challenges"
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。

AgentSkills.tonpx skills
npx skills add vamseeachanta/workspace-hub --skill "cloud-challenges"

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

cloud-challenges 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词快速定位候选结果时使用。适用于云计算难题研究或解决方案搜索类任务,支持基于来源线索匹配内容。

通过 npx skills add vamseeachanta/workspace-hub --skill "cloud-challenges" 安装,需验证权限范围。建议安装前检查维护状态及是否涉及联网、命令执行等潜在风险操作。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/cloud-challenges

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 vamseeachanta/workspace-hub --skill "cloud-challenges";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

    它需要调用外部服务,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

cloud-challenges 怎么安装?

在终端执行 npx skills add vamseeachanta/workspace-hub --skill "cloud-challenges"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cloud-challenges 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。

cloud-challenges 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

cloud-challenges 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

cloud-challenges 用的人多吗?

公开数据是累计安装 441 次,近一周安装 18 次,下载 143 次。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。

cloud-challenges 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
cloud-challenges

云挑战 · 本页

441—调用外部服务MIT未收录

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

Cloud Challenges

Engage with coding challenges, earn credits, track achievements, and compete on leaderboards in Flow Nexus.

Quick Start

// Browse available challenges
const challenges = await mcp__flow-nexus__challenges_list({
  difficulty: "intermediate",
  category: "algorithms",
  status: "active"
});

// Get challenge details
const challenge = await mcp__flow-nexus__challenge_get({
  challenge_id: "challenge_id"
});

// Submit solution
await mcp__flow-nexus__challenge_submit({
  challenge_id: "challenge_id",
  user_id: "user_id",
  solution_code: "function solve(input) { return input.sort(); }",
  language: "javascript"
});

// Check leaderboard
const leaderboard = await mcp__flow-nexus__leaderboard_get({
  type: "global",
  limit: 10
});

When to Use

  • Finding coding challenges to improve skills
  • Submitting solutions for validation and scoring
  • Tracking personal achievements and badges
  • Competing on global and challenge-specific leaderboards
  • Earning rUv credits through challenge completion
  • Following learning paths for skill development

Prerequisites

  • Flow Nexus account with active session
  • Basic programming knowledge
  • Sandbox access for testing solutions

Core Concepts

Difficulty Levels

LevelDescriptionCredits
BeginnerBasic concepts, simple algorithms10-50
IntermediateData structures, moderate complexity50-100
AdvancedComplex algorithms, optimization100-250
ExpertSystem design, cutting-edge problems250-500

Challenge Categories

CategoryFocus
AlgorithmsClassic algorithm problems
Data StructuresImplementation and optimization
System DesignScalable architecture
OptimizationPerformance-focused problems
SecurityCryptography, vulnerability analysis
ML BasicsMachine learning fundamentals

Gamification Features

  • Dynamic Scoring: Based on code quality, efficiency, creativity
  • Achievement Badges: Progressive unlocks for accomplishments
  • Learning Streaks: Rewards for consistent engagement
  • Leaderboards: Global, weekly, monthly, per-challenge

MCP Tools Reference

Challenge Discovery

// List challenges
mcp__flow-nexus__challenges_list({
  difficulty: "intermediate",  // beginner, intermediate, advanced, expert
  category: "algorithms",      // algorithms, data_structures, system_design, etc.
  status: "active",            // active, completed, locked
  limit: 20                    // Max results (1-100)
})
// Returns: { challenges: [{ id, title, difficulty, category, credits }] }

// Get challenge details
mcp__flow-nexus__challenge_get({
  challenge_id: "challenge_id"
})
// Returns: { id, title, description, examples, constraints, credits, time_limit }

Solution Submission

mcp__flow-nexus__challenge_submit({
  challenge_id: "challenge_id",
  user_id: "user_id",
  solution_code: "function solve(input) { /* solution */ }",
  language: "javascript",       // javascript, python, go, rust, etc.
  execution_time: 45            // Optional: time taken in ms
})
// Returns: { passed, score, test_results, credits_earned, feedback }

Challenge Completion

mcp__flow-nexus__app_store_complete_challenge({
  challenge_id: "challenge_id",
  user_id: "user_id",
  submission_data: {
    solution_code: "...",
    time_taken: 120,
    attempts: 2
  }
})
// Returns: { completed, credits_awarded, achievements_unlocked }

Achievements

mcp__flow-nexus__achievements_list({
  user_id: "user_id",
  category: "speed_demon"       // Optional category filter
})
// Returns: { achievements: [{ id, name, description, earned_at }] }

Leaderboards

mcp__flow-nexus__leaderboard_get({
  type: "global",              // global, weekly, monthly, challenge
  challenge_id: "id",          // Required for type="challenge"
  limit: 10                    // Max entries (1-100)
})
// Returns: { rankings: [{ rank, user, score, challenges_completed }] }

Earning Credits

mcp__flow-nexus__app_store_earn_ruv({
  user_id: "user_id",
  amount: 100,
  reason: "Challenge completion: Binary Search Tree",
  source: "challenge"
})
// Returns: { new_balance, credits_earned }

Usage Examples

Example 1: Finding and Solving a Challenge

// Browse available challenges for your skill level
const challenges = await mcp__flow-nexus__challenges_list({
  difficulty: "intermediate",
  category: "algorithms",
  status: "active",
  limit: 10
});

console.log("Available Challenges:");
for (const c of challenges.challenges) {
  console.log(`- ${c.title} (${c.difficulty}): ${c.credits} credits`);
}

// Get details for a specific challenge
const challenge = await mcp__flow-nexus__challenge_get({
  challenge_id: challenges.challenges[0].id
});

console.log(`
Challenge: ${challenge.title}
--------------------------
${challenge.description}

Examples:
${challenge.examples.map(e => `Input: ${e.input} → Output: ${e.output}`).join('\n')}

Constraints:
${challenge.constraints.join('\n')}

Time Limit: ${challenge.time_limit}ms
Credits: ${challenge.credits}
`);

// Test solution in sandbox first (recommended)
const sandbox = await mcp__flow-nexus__sandbox_create({
  template: "node"
});

const testResult = await mcp__flow-nexus__sandbox_execute({
  sandbox_id: sandbox.sandbox_id,
  code: `
    function solve(input) {
      // Your solution here
      return input.sort((a, b) => a - b);
    }
    console.log(solve([3, 1, 4, 1, 5, 9]));
  `,
  language: "javascript"
});

// Submit solution
const submission = await mcp__flow-nexus__challenge_submit({
  challenge_id: challenge.id,
  user_id: "your_user_id",
  solution_code: "function solve(input) { return input.sort((a, b) => a - b); }",
  language: "javascript"
});

if (submission.passed) {
  console.log(`\nChallenge Passed! Score: ${submission.score}`);
  console.log(`Credits Earned: ${submission.credits_earned}`);
} else {
  console.log("\nSome tests failed:");
  for (const result of submission.test_results) {
    if (!result.passed) {
      console.log(`- Test ${result.id}: ${result.feedback}`);
    }
  }
}

Example 2: Tracking Progress and Achievements

// Get your achievements
const achievements = await mcp__flow-nexus__achievements_list({
  user_id: "your_user_id"
});

console.log("Your Achievements:");
for (const a of achievements.achievements) {
  console.log(`🏆 ${a.name} - ${a.description}`);
  console.log(`   Earned: ${a.earned_at}`);
}

// Achievement categories
const categories = ["speed_demon", "problem_solver", "streak_master", "explorer"];

for (const category of categories) {
  const catAchievements = await mcp__flow-nexus__achievements_list({
    user_id: "your_user_id",
    category: category
  });

  console.log(`\n${category.replace('_', ' ').toUpperCase()}:`);
  console.log(`- Earned: ${catAchievements.achievements.length} achievements`);
}

Example 3: Competing on Leaderboards

// Global leaderboard
const globalBoard = await mcp__flow-nexus__leaderboard_get({
  type: "global",
  limit: 10
});

console.log("🌍 Global Leaderboard:");
for (const entry of globalBoard.rankings) {
  console.log(`#${entry.rank} ${entry.user} - ${entry.score} pts (${entry.challenges_completed} challenges)`);
}

// Weekly leaderboard
const weeklyBoard = await mcp__flow-nexus__leaderboard_get({
  type: "weekly",
  limit: 10
});

console.log("\n📅 This Week's Top Performers:");
for (const entry of weeklyBoard.rankings) {
  console.log(`#${entry.rank} ${entry.user} - ${entry.score} pts`);
}

// Challenge-specific leaderboard
const challengeBoard = await mcp__flow-nexus__leaderboard_get({
  type: "challenge",
  challenge_id: "specific_challenge_id",
  limit: 10
});

console.log("\n🎯 Challenge Leaderboard:");
for (const entry of challengeBoard.rankings) {
  console.log(`#${entry.rank} ${entry.user} - ${entry.score} pts (${entry.execution_time}ms)`);
}

Example 4: Learning Path Progression

// Start with beginner challenges
const beginnerChallenges = await mcp__flow-nexus__challenges_list({
  difficulty: "beginner",
  category: "algorithms"
});

console.log("📚 Learning Path: Algorithms");
console.log("Step 1: Beginner Challenges");

let completedCount = 0;
for (const challenge of beginnerChallenges.challenges.slice(0, 5)) {
  console.log(`- ${challenge.title} (${challenge.credits} credits)`);
}

// Progress to intermediate after completing beginner
if (completedCount >= 5) {
  const intermediateChallenges = await mcp__flow-nexus__challenges_list({
    difficulty: "intermediate",
    category: "algorithms"
  });

  console.log("\n🎯 Step 2: Intermediate Challenges Unlocked!");
  for (const challenge of intermediateChallenges.challenges.slice(0, 5)) {
    console.log(`- ${challenge.title} (${challenge.credits} credits)`);
  }
}

Execution Checklist

  • Browse challenges matching your skill level
  • Read challenge description and constraints carefully
  • Test solution in sandbox before submitting
  • Submit solution for validation
  • Review feedback if tests fail
  • Collect credits on successful completion
  • Check for unlocked achievements
  • Review leaderboard position

Best Practices

  1. Start at Your Level: Begin with beginner challenges, progress gradually
  2. Understand First: Read problem statement completely before coding
  3. Test Locally: Use sandbox to test before submitting
  4. Optimize After: Get it working first, then optimize
  5. Learn from Failures: Use feedback to improve solutions
  6. Maintain Streaks: Consistent daily practice builds skills

Scoring Criteria

CriterionWeightDescription
Correctness50%All test cases pass
Efficiency25%Time and space complexity
Code Quality15%Clean, readable code
Creativity10%Novel approaches

Error Handling

ErrorCauseSolution
challenge_not_foundInvalid challenge_idUse challenges_list to find valid IDs
submission_failedRuntime error or timeoutCheck code syntax and efficiency
time_limit_exceededSolution too slowOptimize algorithm complexity
wrong_answerIncorrect outputReview logic and edge cases
compilation_errorInvalid syntaxFix syntax errors

Metrics & Success Criteria

  • Completion Rate: Target >70% first-attempt success
  • Average Score: Target >80/100 on solved challenges
  • Streak Days: Maintain 7+ day streaks
  • Rank Progress: Improve leaderboard position weekly

Integration Points

With Sandboxes

// Test solution in isolated environment
const sandbox = await mcp__flow-nexus__sandbox_create({
  template: "node"
});

await mcp__flow-nexus__sandbox_execute({
  sandbox_id: sandbox.sandbox_id,
  code: solutionCode
});

With Payments

// Credits earned from challenges
const balance = await mcp__flow-nexus__check_balance();
console.log(`Total credits from challenges: ${balance.challenge_earnings}`);

Related Skills

References

Version History

  • 1.0.0 (2026-01-02): Initial release - converted from flow-nexus-challenges agent

平台分布

Claude Code

27.8%
按下载量换算40

windsurf

21.83%
按下载量换算31

trae

18.81%
按下载量换算27

OpenCode

12.98%
按下载量换算19

Cursor

7.06%
按下载量换算10

Codex

3.2%
按下载量换算5

安全审计

暂无安全审计结果可展示。

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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