How does this skill plan new features?

It uses an 'Explore' subagent to scan your repository for existing patterns, identifies necessary changes across the stack, and generates a markdown-formatted plan with discrete, sequential tasks.

When should I use the Feature Planning skill instead of just asking for code?

You should use it for any multi-step change, vague requirement, or complex enhancement where architectural consistency and a clear implementation strategy are required.

Does it integrate with other Claude Code tools?

Absolutely. It is designed to hand off its generated tasks to the plan-implementer agent, while also leveraging test-fixing and git-pushing skills for the final execution.

Can I review and edit the plan before implementation starts?

Yes, the workflow includes a mandatory review step where the AI confirms the plan matches your expectations before proceeding to the execution phase.

Can it handle database migrations and schema changes?

Yes, the planning workflow explicitly identifies database changes, models, and migrations as part of the initial analysis and design phase.

Feature Planning & Implementation Architect

Name: Feature Planning & Implementation Architect
Author: prof-ramos

byprof-ramos

•

Productivity & Workflow

Transforms high-level feature requests into structured, actionable implementation plans with file-specific task breakdowns.

About

The Feature Planning skill serves as a professional technical architect for your development workflow, bridgeing the gap between vague requirements and production-ready code. It systematically analyzes feature requests by exploring your existing codebase to identify architectural patterns, dependencies, and impact zones. Once the environment is understood, it generates a comprehensive implementation roadmap—complete with specific file paths, line numbers, and sequential tasks—ensuring that complex changes are executed with technical integrity and minimal regressions. This skill is essential for developers handling multi-step enhancements, new system modules, or large-scale refactors where precision and consistency are paramount.

Key Features

Sequential dependency mapping to ensure tasks are implemented in the correct order.
Automated codebase exploration to identify relevant architectural patterns and impact zones.
Direct integration with plan-implementer and test-fixing agents for seamless execution.
Integrated architectural decision logging to document rationale and technical trade-offs.
1 GitHub stars
Granular task decomposition with specific file-path and line-number references.

Use Cases

Building complex new features like user authentication systems or data dashboards.
Architecting large-scale refactors to move legacy code into modern design patterns.
Planning multi-layered enhancements that require simultaneous database, backend, and frontend updates.

About

Key Features

Sequential dependency mapping to ensure tasks are implemented in the correct order.
Automated codebase exploration to identify relevant architectural patterns and impact zones.
Direct integration with plan-implementer and test-fixing agents for seamless execution.
Integrated architectural decision logging to document rationale and technical trade-offs.
1 GitHub stars
Granular task decomposition with specific file-path and line-number references.

Use Cases

Building complex new features like user authentication systems or data dashboards.
Architecting large-scale refactors to move legacy code into modern design patterns.
Planning multi-layered enhancements that require simultaneous database, backend, and frontend updates.