dmzoneill Compare Options
Compares options with codebase usage and memory context.
Inputs
| Input | Type | Default | Purpose |
|---|---|---|---|
question |
string | required | Decision to make (e.g., "Which caching solution?") |
options |
string | required | Comma-separated options (e.g., "Redis, Memcached, Django cache") |
criteria |
string | - | Comma-separated criteria (default: complexity, performance, maintainability, existing usage) |
project |
string | auto | Project context |
Workflow
1. Parse Inputs
- Split options into list
- Split criteria or use defaults: complexity, performance, maintainability, existing usage
2. Detect Project
- Infer from cwd; default
automation-analytics-backend
3. Search Each Option in Codebase
- For each option (up to 3):
code_search(query=option, project=project, limit=5) - Count occurrences, collect file paths
4. Check Memory
memory_read("learned/patterns")— past experiences with these options
5. Analyze Results
- Per option: usage_count, usage_files, in_codebase (yes/no)
6. Build Comparison
Output markdown with:
- Options Overview: table (Option | In Codebase | Usage Count | Files)
- Detailed Analysis: per option, pros/cons placeholders
- Evaluation Matrix: criteria × options (1–5 ratings)
- Recommendation: placeholder for recommended option and rationale
- Next Steps: WebSearch for pros/cons, explain_code for existing usage, plan_implementation
7. Log
memory_session_log("Compared options: {options}", "Question: {question}")
Key MCP Tools
code_search— existing usage per optionmemory_read— learned patternsmemory_session_log— session loggingWebSearch— external pros/cons (optional)