compare-options
Skill2 starsChanged 19 days agoApache-2.0View on GitHub
Compare multiple approaches, libraries, or patterns. Searches codebase for existing usage, checks memory for past experiences, creates comparison matrix. Use when deciding between approaches before implementation.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- jezweb/vite-flare-startertheir own version, first seen Oct 9, 2026
- Deibler/edmund-harnesstheir own version, first seen Sep 4, 2026
Other versions2 projects use a version of this.
Word for word · 0
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Wrote their own version · 2
- jezweb/vite-flare-starter★ 49same name
- Deibler/edmund-harness★ 24same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
Files
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)
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