Agent skill

cloud-challenges

Flow Nexus coding challenges and gamification. Use for browsing challenges, submitting solutions, tracking achievements, and competing on leaderboards.

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/development/cloud-challenges

SKILL.md

Cloud Challenges

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

Quick Start

javascript
// 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

Level Description Credits
Beginner Basic concepts, simple algorithms 10-50
Intermediate Data structures, moderate complexity 50-100
Advanced Complex algorithms, optimization 100-250
Expert System design, cutting-edge problems 250-500

Challenge Categories

Category Focus
Algorithms Classic algorithm problems
Data Structures Implementation and optimization
System Design Scalable architecture
Optimization Performance-focused problems
Security Cryptography, vulnerability analysis
ML Basics Machine 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

javascript
// 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

javascript
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

javascript
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

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

Leaderboards

javascript
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

javascript
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

javascript
// 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

javascript
// 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(`šŸ† ${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

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

console.log("šŸŒ 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("\nšŸ“… 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("\nšŸŽÆ 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

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

console.log("šŸ“š 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("\nšŸŽÆ 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

Criterion Weight Description
Correctness 50% All test cases pass
Efficiency 25% Time and space complexity
Code Quality 15% Clean, readable code
Creativity 10% Novel approaches

Error Handling

Error Cause Solution
challenge_not_found Invalid challenge_id Use challenges_list to find valid IDs
submission_failed Runtime error or timeout Check code syntax and efficiency
time_limit_exceeded Solution too slow Optimize algorithm complexity
wrong_answer Incorrect output Review logic and edge cases
compilation_error Invalid syntax Fix 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

javascript
// 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

javascript
// 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

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