tasq/node_modules/agentic-flow/.claude/commands/flow-nexus/challenges.md

name	description
flow-nexus-challenges	Coding challenges, achievements, and leaderboards

Flow Nexus Challenges

Complete coding challenges to earn rUv credits and climb the leaderboard.

List Challenges

mcp__flow-nexus__challenges_list({
  difficulty: "intermediate", // beginner, advanced, expert
  category: "algorithms",
  status: "active",
  limit: 20
})

Get Challenge Details

mcp__flow-nexus__challenge_get({
  challenge_id: "two-sum-problem"
})

Submit Solution

mcp__flow-nexus__challenge_submit({
  challenge_id: "challenge_id",
  user_id: "your_id",
  solution_code: `
    function solution(nums, target) {
      const map = new Map();
      for (let i = 0; i < nums.length; i++) {
        const complement = target - nums[i];
        if (map.has(complement)) {
          return [map.get(complement), i];
        }
        map.set(nums[i], i);
      }
      return [];
    }
  `,
  language: "javascript",
  execution_time: 45 // milliseconds
})

Complete Challenge

mcp__flow-nexus__app_store_complete_challenge({
  challenge_id: "challenge_id",
  user_id: "your_id",
  submission_data: {
    passed_tests: 10,
    total_tests: 10,
    execution_time: 45
  }
})

Leaderboards

// Global leaderboard
mcp__flow-nexus__leaderboard_get({
  type: "global", // weekly, monthly, challenge
  limit: 10
})

// Challenge-specific leaderboard
mcp__flow-nexus__leaderboard_get({
  type: "challenge",
  challenge_id: "specific_challenge",
  limit: 25
})

Achievements

mcp__flow-nexus__achievements_list({
  user_id: "your_id",
  category: "speed_demon" // Categories vary
})

rUv Credits

// Check balance
mcp__flow-nexus__ruv_balance({ user_id: "your_id" })

// View history
mcp__flow-nexus__ruv_history({
  user_id: "your_id",
  limit: 20
})

// Earn credits (automatic on completion)
mcp__flow-nexus__app_store_earn_ruv({
  user_id: "your_id",
  amount: 100,
  reason: "Completed expert challenge",
  source: "challenge"
})

Challenge Categories

• algorithms: Classic algorithm problems
• data-structures: DS implementation challenges
• system-design: Architecture challenges
• optimization: Performance challenges
• security: Security-focused problems
• ml-basics: Machine learning fundamentals

Tips

1. Start with beginner challenges
2. Review other solutions after completing
3. Optimize for both correctness and speed
4. Complete daily challenges for bonus credits
5. Unlock achievements for extra rewards