planning
Use when you need to plan technical solutions that are scalable, secure, and maintainable.
When & Why to Use This Skill
This Claude skill enables the creation of high-quality technical implementation plans, focusing on scalable, secure, and maintainable software architecture. It bridges the gap between abstract requirements and concrete execution by providing structured research, codebase analysis, and detailed solution design documentation that adheres to industry best practices like YAGNI and DRY.
Use Cases
- Architecting new system features by evaluating technical trade-offs and designing scalable components.
- Developing comprehensive implementation roadmaps that break down complex requirements into manageable developer tasks.
- Conducting deep codebase analysis to ensure new solutions align with existing patterns and maintainability standards.
- Creating technical documentation and pseudocode to guide developers through complex feature implementations without jumping straight into coding.
| name | planning |
|---|---|
| description | Use when you need to plan technical solutions that are scalable, secure, and maintainable. |
| license | MIT |
Planning
Create detailed technical implementation plans through research, codebase analysis, solution design, and comprehensive documentation.
When to Use
Use this skill when:
- Planning new feature implementations
- Architecting system designs
- Evaluating technical approaches
- Creating implementation roadmaps
- Breaking down complex requirements
- Assessing technical trade-offs
Core Responsibilities & Rules
Always honoring YAGNI, KISS, and DRY principles. Be honest, be brutal, straight to the point, and be concise.
1. Research & Analysis
Load: references/research-phase.md
Skip if: Provided with researcher reports
2. Codebase Understanding
Load: references/codebase-understanding.md
Skip if: Provided with scout reports
3. Solution Design
Load: references/solution-design.md
4. Plan Creation & Organization
Load: references/plan-organization.md
5. Task Breakdown & Output Standards
Load: references/output-standards.md
Workflow Process
- Initial Analysis → Read codebase docs, understand context
- Research Phase → Spawn researchers, investigate approaches
- Synthesis → Analyze reports, identify optimal solution
- Design Phase → Create architecture, implementation design
- Plan Documentation → Write comprehensive plan
- Review & Refine → Ensure completeness, clarity, actionability
Output Requirements
- DO NOT implement code - only create plans
- Respond with plan file path and summary
- Ensure self-contained plans with necessary context
- Include code snippets/pseudocode when clarifying
- Provide multiple options with trade-offs when appropriate
- Fully respect
0-agents/workflows/development-rules.mdand the repository structure inINDEX.md. - MANDATORY: Focus on quality standards and coverage requirements by default
- MANDATORY: Define quality metrics, success criteria, and coverage requirements
- Timeline: Only include timelines, schedules, or deadlines if user explicitly requests
Plan Directory Structure (AI Factory)
Plans live in 3-technical/3.2-implementation/plans/ and must follow the plan lifecycle rules in 0-agents/_core/global-rules.md.
Recommended structure inside an active plan file/folder:
- Plan document:
3-technical/3.2-implementation/plans/active/[feature-name].md - Supporting notes: keep them inside the plan document unless @docs-guardian approves additional files
Quality Standards
- Be thorough and specific
- Consider long-term maintainability
- Research thoroughly when uncertain
- Address security and performance concerns
- Make plans detailed enough for junior developers
- Validate against existing codebase patterns
Remember: Plan quality determines implementation success. Be comprehensive and consider all solution aspects.