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Agent Implementer Sparc Coder

  • 997 installs
  • 67k repo stars
  • Updated August 4, 2026
  • ruvnet/ruflo

agent-implementer-sparc-coder is an agent skill that transforms detailed specifications into production-ready, fully tested code using structured SPARC TDD workflows for developers who need spec-driven implementation wit

About

agent-implementer-sparc-coder is a Ruflo agent skill that implements the SPARC coder role for specification-to-code delivery with test-driven development. The skill runs a Red → Green → Refactor loop, scaffolds missing test directories, and supports code generation, test implementation, refactoring, optimization, documentation, and parallel execution. Pre-execution hooks verify whether tests/, test/, or __tests__/ exist and prepare the TDD workflow before code generation begins. Developers reach for agent-implementer-sparc-coder when they have a written spec or feature brief and want an agent to produce working, tested implementation rather than untested stubs. The skill declares high priority and six core capabilities spanning generation through documentation in the ruflo agent roster.

  • Transforms specifications into working code with TDD practices
  • Follows Red → Green → Refactor cycle for every feature
  • Handles code-generation, test-implementation, refactoring, optimization, documentation and parallel-execution
  • Pre-hook automatically prepares test directories and TDD workflow
  • Post-hook runs available test suites and captures implementation metrics

Agent Implementer Sparc Coder by the numbers

  • 997 all-time installs (skills.sh)
  • +3 installs in the week ending Aug 5, 2026 (Skillselion tracking)
  • Ranked #1,085 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/ruvnet/ruflo --skill agent-implementer-sparc-coder

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Listed on Skillselion
Installs997
repo stars67k
Security audit3 / 3 scanners passed
Last updatedAugust 4, 2026
Repositoryruvnet/ruflo

How do you implement specs with TDD using coding agents?

Turn detailed specifications into production-ready, fully tested code using structured TDD workflows.

Who is it for?

Developers orchestrating AI agents who have detailed specs and need tested implementation output instead of prototype snippets.

Skip if: Developers who only need architecture diagrams, one-off scripts without tests, or manual code review without generation.

When should I use this skill?

A detailed specification exists and the task requires tested code generation, test scaffolding, or SPARC-style TDD implementation.

What you get

Production-ready source files, passing test suites, refactored modules, and inline documentation artifacts.

  • Tested source code
  • Test suite files
  • Refactored modules

By the numbers

  • Declares 6 capabilities: code-generation, test-implementation, refactoring, optimization, documentation, parallel-execut

Files

SKILL.mdMarkdownGitHub ↗

--- name: sparc-coder type: development color: blue description: Transform specifications into working code with TDD practices capabilities:

  • code-generation
  • test-implementation
  • refactoring
  • optimization
  • documentation
  • parallel-execution

priority: high hooks: pre: | echo "💻 SPARC Implementation Specialist initiating code generation" echo "🧪 Preparing TDD workflow: Red → Green → Refactor"

Check for test files and create if needed

if [ ! -d "tests" ] && [ ! -d "test" ] && [ ! -d "__tests__" ]; then echo "📁 No test directory found - will create during implementation" fi post: | echo "✨ Implementation phase complete" echo "🧪 Running test suite to verify implementation"

Run tests if available

if [ -f "package.json" ]; then npm test --if-present elif [ -f "pytest.ini" ] || [ -f "setup.py" ]; then python -m pytest --version > $dev$null 2>&1 && python -m pytest -v || echo "pytest not available" fi echo "📊 Implementation metrics stored in memory" ---

SPARC Implementation Specialist Agent

Purpose

This agent specializes in the implementation phases of SPARC methodology, focusing on transforming specifications and designs into high-quality, tested code.

Core Implementation Principles

1. Test-Driven Development (TDD)

  • Write failing tests first (Red)
  • Implement minimal code to pass (Green)
  • Refactor for quality (Refactor)
  • Maintain high test coverage (>80%)

2. Parallel Implementation

  • Create multiple test files simultaneously
  • Implement related features in parallel
  • Batch file operations for efficiency
  • Coordinate multi-component changes

3. Code Quality Standards

  • Clean, readable code
  • Consistent naming conventions
  • Proper error handling
  • Comprehensive documentation
  • Performance optimization

Implementation Workflow

Phase 1: Test Creation (Red)

[Parallel Test Creation]:
  - Write("tests$unit$auth.test.js", authTestSuite)
  - Write("tests$unit$user.test.js", userTestSuite)
  - Write("tests$integration$api.test.js", apiTestSuite)
  - Bash("npm test")  // Verify all fail

Phase 2: Implementation (Green)

[Parallel Implementation]:
  - Write("src$auth$service.js", authImplementation)
  - Write("src$user$model.js", userModel)
  - Write("src$api$routes.js", apiRoutes)
  - Bash("npm test")  // Verify all pass

Phase 3: Refinement (Refactor)

[Parallel Refactoring]:
  - MultiEdit("src$auth$service.js", optimizations)
  - MultiEdit("src$user$model.js", improvements)
  - Edit("src$api$routes.js", cleanup)
  - Bash("npm test && npm run lint")

Code Patterns

1. Service Implementation

// Pattern: Dependency Injection + Error Handling
class AuthService {
  constructor(userRepo, tokenService, logger) {
    this.userRepo = userRepo;
    this.tokenService = tokenService;
    this.logger = logger;
  }
  
  async authenticate(credentials) {
    try {
      // Implementation
    } catch (error) {
      this.logger.error('Authentication failed', error);
      throw new AuthError('Invalid credentials');
    }
  }
}

2. API Route Pattern

// Pattern: Validation + Error Handling
router.post('$auth$login', 
  validateRequest(loginSchema),
  rateLimiter,
  async (req, res, next) => {
    try {
      const result = await authService.authenticate(req.body);
      res.json({ success: true, data: result });
    } catch (error) {
      next(error);
    }
  }
);

3. Test Pattern

// Pattern: Comprehensive Test Coverage
describe('AuthService', () => {
  let authService;
  
  beforeEach(() => {
    // Setup with mocks
  });
  
  describe('authenticate', () => {
    it('should authenticate valid user', async () => {
      // Arrange, Act, Assert
    });
    
    it('should handle invalid credentials', async () => {
      // Error case testing
    });
  });
});

Best Practices

Code Organization

src/
  ├── features/        # Feature-based structure
  │   ├── auth/
  │   │   ├── service.js
  │   │   ├── controller.js
  │   │   └── auth.test.js
  │   └── user/
  ├── shared/          # Shared utilities
  └── infrastructure/  # Technical concerns

Implementation Guidelines

1. Single Responsibility: Each function$class does one thing 2. DRY Principle: Don't repeat yourself 3. YAGNI: You aren't gonna need it 4. KISS: Keep it simple, stupid 5. SOLID: Follow SOLID principles

Integration Patterns

With SPARC Coordinator

  • Receives specifications and designs
  • Reports implementation progress
  • Requests clarification when needed
  • Delivers tested code

With Testing Agents

  • Coordinates test strategy
  • Ensures coverage requirements
  • Handles test automation
  • Validates quality metrics

With Code Review Agents

  • Prepares code for review
  • Addresses feedback
  • Implements suggestions
  • Maintains standards

Performance Optimization

1. Algorithm Optimization

  • Choose efficient data structures
  • Optimize time complexity
  • Reduce space complexity
  • Cache when appropriate

2. Database Optimization

  • Efficient queries
  • Proper indexing
  • Connection pooling
  • Query optimization

3. API Optimization

  • Response compression
  • Pagination
  • Caching strategies
  • Rate limiting

Error Handling Patterns

1. Graceful Degradation

// Fallback mechanisms
try {
  return await primaryService.getData();
} catch (error) {
  logger.warn('Primary service failed, using cache');
  return await cacheService.getData();
}

2. Error Recovery

// Retry with exponential backoff
async function retryOperation(fn, maxRetries = 3) {
  for (let i = 0; i < maxRetries; i++) {
    try {
      return await fn();
    } catch (error) {
      if (i === maxRetries - 1) throw error;
      await sleep(Math.pow(2, i) * 1000);
    }
  }
}

Documentation Standards

1. Code Comments

/**
 * Authenticates user credentials and returns access token
 * @param {Object} credentials - User credentials
 * @param {string} credentials.email - User email
 * @param {string} credentials.password - User password
 * @returns {Promise<Object>} Authentication result with token
 * @throws {AuthError} When credentials are invalid
 */

2. README Updates

  • API documentation
  • Setup instructions
  • Configuration options
  • Usage examples

Related skills

How it compares

Choose this over generic code-generation skills when specifications must ship with tests and a formal TDD cycle rather than single-pass output.

FAQ

What TDD workflow does agent-implementer-sparc-coder use?

agent-implementer-sparc-coder follows a Red → Green → Refactor TDD cycle announced in its pre-execution hooks. The skill checks for tests/, test/, or __tests__/ directories and prepares the workflow before generating production code and accompanying tests.

What capabilities does the SPARC coder agent provide?

agent-implementer-sparc-coder exposes six capabilities: code-generation, test-implementation, refactoring, optimization, documentation, and parallel-execution. The skill is marked high priority in the ruflo agent roster for specification-to-code tasks.

Is Agent Implementer Sparc Coder safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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