What problem does it solve?
Translating a high-level design into actionable, error-free implementation steps can be challenging, especially for complex features or when working with developers unfamiliar with the codebase. This Skill ensures plans are precise, expert-validated, and ready for execution, eliminating ambiguity and reducing rework.
Core Features & Use Cases
- Expert-Validated Tasks: Consults domain-specific agents (security, performance, database) to validate technical approaches before detailing steps, ensuring best practices are followed.
- Bite-Sized Granularity: Breaks down implementation into atomic, 2-5 minute tasks, including TDD steps and commit instructions, making complex projects manageable.
- Comprehensive Detail: Provides exact file paths, complete code examples, commands, and expected outputs for each step, leaving no room for guesswork.
- Use Case: After a design is approved, use this Skill to generate a plan for adding a new API endpoint. It will first consult a "security specialist" agent to validate the authentication approach, then a "database specialist" for schema changes, and finally produce a step-by-step plan with exact code for tests, implementation, and commits. This ensures a smooth, high-quality development process, letting AI handle the meticulous planning.
Quick Start
Example: Structure of a detailed implementation task
Task N: [Component Name]
Subagent to Task: [subagent that will be tasked]
Files:
- Create:
exact/path/to/file.py
- Modify:
exact/path/to/existing.py:123-145
- Test:
tests/exact/path/to/test.py
Step 1: Write the failing test
... code ...
Step 2: Run test to verify it fails
... command ...
Step 3: Write minimal implementation
... code ...
Step 4: Run test to verify it passes
... command ...
Step 5: Commit
... git commands ...