Skills

Implementer SPARC Coder

Runs the implementer-sparc-coder agent role from the ruflo multi-agent toolkit.

Install

npx skills add ruvnet/ruflo --skill agent-implementer-sparc-coder -g -a claude-code -y
Repository
ruvnet/ruflo80.5k
Category
Engineering
Updated
3d ago
License
MIT
Context cost
Mediumabout 1,606 tokens
Runs scripts
No, instructions only

What it does

Agent skill for implementer-sparc-coder - invoke with $agent-implementer-sparc-coder


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 "๐Ÿ’ป SPARC Implementation Specialist initiating code generation" echo "๐Ÿงช Preparing TDD workflow: Red โ†’ Green โ†’ Refactor"

    Check for test files and create if needed

    if [ ! -d "tests" ] && [ ! -d "test" ] && [ ! -d "tests" ]; then echo "๐Ÿ“ No test directory found - will create during implementation" fi post: | echo "โœจ Implementation phase complete" echo "๐Ÿงช 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 "๐Ÿ“Š 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

Read the whole SKILL.md on GitHub

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