planning
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
Plan Directory Structure
plans/
└── YYYYMMDD-HHmm-plan-name/
├── research/
│ ├── researcher-XX-report.md
│ └── ...
├── reports/
│ ├── XX-report.md
│ └── ...
├── scout/
│ ├── scout-XX-report.md
│ └── ...
├── plan.md
├── phase-XX-phase-name-here.md
└── ...
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.
More from aia-11-hn-mib/mib-mockinterviewaibot
gemini-video-understanding
Analyze videos using Google's Gemini API - describe content, answer questions, transcribe audio with visual descriptions, reference timestamps, clip videos, and process YouTube URLs. Supports 9 video formats, multiple models (Gemini 2.5/2.0), and context windows up to 2M tokens (6 hours of video).
21imagemagick
Guide for using ImageMagick command-line tools to perform advanced image processing tasks including format conversion, resizing, cropping, effects, transformations, and batch operations. Use when manipulating images programmatically via shell commands.
14remix-icon
Guide for implementing RemixIcon - an open-source neutral-style icon library with 3,100+ icons in outlined and filled styles. Use when adding icons to applications, building UI components, or designing interfaces. Supports webfonts, SVG, React, Vue, and direct integration.
8obsidian-qa-saver
Save Q&A conversations to Obsidian notes with proper formatting, metadata, and organization. Use this skill when the user explicitly requests to save a conversation, question-answer exchange, or explanation to their Obsidian vault. Automatically formats content as document-style notes with timestamps, tags, and project links.
6repomix
Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.
5gemini-vision
Guide for implementing Google Gemini API image understanding - analyze images with captioning, classification, visual QA, object detection, segmentation, and multi-image comparison. Use when analyzing images, answering visual questions, detecting objects, or processing documents with vision.
5