options-analysis
Use when making structured decisions between multiple options - creates weighted scoring spreadsheet with systematic evaluation across considerations grouped by area
What this skill does
# Options Analysis
## Overview
Guide users through creating structured multi-criteria decision analysis (MCDA) spreadsheets using Google Sheets.
**Core principle:** Systematic evaluation with weighted scoring, resumable workflow, and state-driven navigation.
**Announce at start:** "I'm using the options-analysis skill to help you systematically evaluate your options."
**When to use:**
- Comparing multiple options (cloud providers, vendors, architectural approaches)
- Need structured, auditable decision framework
- Want weighted scoring across multiple criteria
- Require justifications for each score
**Output:** Google Spreadsheet with:
- Analysis sheet: Options × Considerations with scores (0-5) and justifications
- Summary sheet: Weighted scores and ranking
- Metadata sheet: Area weights and workflow state
## Prerequisites
This skill requires a Google Sheets MCP server. If not already configured, see Setup Guide below.
## Table of Contents
1. [Setup Guide](#setup-guide) - Install Google Sheets MCP server
2. [Quick Reference](#quick-reference) - State detection and phase mapping
3. [The Workflow](#the-workflow) - Main checklist and phases
4. [Phase Details](#phase-details) - Detailed instructions per phase
5. [State Detection Logic](#state-detection-logic) - How to infer current state
6. [Google Sheets Operations](#google-sheets-operations) - MCP patterns and formulas
7. [Common Mistakes](#common-mistakes) - Anti-patterns and troubleshooting
---
## Setup Guide
### Installing Google Sheets MCP Server
**Check if already configured:**
```bash
# Check for google-sheets MCP server in available tools
# (MCP servers show up as mcp__google-sheets__* tools)
```
If you see `mcp__google-sheets__*` tools available, skip to [The Workflow](#the-workflow).
**Install Google Sheets MCP Server:**
Option 1: Using npx (Node.js required):
```bash
npx -y google-sheets-mcp
```
Option 2: Using uvx (Python, recommended):
```bash
uvx mcp-google-sheets@latest
```
**Configure in Claude Code:**
Add to your Claude Code MCP configuration file:
For npx version:
```json
{
"mcpServers": {
"google-sheets": {
"command": "npx",
"args": ["-y", "google-sheets-mcp"]
}
}
}
```
For uvx version:
```json
{
"mcpServers": {
"google-sheets": {
"command": "uvx",
"args": ["mcp-google-sheets@latest"]
}
}
}
```
### Authentication Setup
**Recommended: Service Account**
1. Go to Google Cloud Console: https://console.cloud.google.com/
2. Create new project or select existing
3. Enable Google Sheets API
4. Create Service Account credentials
5. Download JSON key file
6. Set environment variable:
```bash
export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account-key.json"
```
7. Share spreadsheets with service account email (found in JSON key)
**Alternative: OAuth 2.0**
Follow MCP server's OAuth setup instructions (more complex, better for personal use).
### Verification
Test the connection:
1. List available MCP tools - should see `mcp__google-sheets__*` functions
2. Try reading a test spreadsheet
3. If errors occur, check:
- MCP server is running
- Authentication credentials are valid
- Service account has access to spreadsheet
---
## Quick Reference
| Current State | Detected By | Next Phase |
|---------------|-------------|------------|
| No spreadsheet | User hasn't provided URL | Create new spreadsheet |
| Empty spreadsheet | No sheets named "Analysis", "Summary", "Metadata" | Define options |
| Has Metadata sheet | Read workflow checklist from Metadata | Jump to incomplete phase |
| `options_defined: false` | Metadata.B8 = FALSE | Define Options (Phase 2) |
| `areas_defined: false` | Metadata.B9 = FALSE | Define Areas & Weights (Phase 3) |
| `considerations_defined: false` | Metadata.B10 = FALSE | Define Considerations (Phase 4) |
| `scoring_complete: false` | Metadata.B11 = FALSE | Scoring (Phase 5) |
| `summary_created: false` | Metadata.B12 = FALSE | Summary Generation (Phase 6) |
| All checklist items TRUE | All Metadata workflow flags = TRUE | Maintenance Mode (Phase 7) |
---
## State Detection Logic
When the skill is invoked, follow this sequence:
### Step 1: Get Spreadsheet Reference
Ask user: "Do you have an existing options analysis spreadsheet, or should I create a new one?"
**If new:**
- Prompt for analysis name/title
- Create new spreadsheet with that title
- Proceed to Phase 2 (Define Options)
**If existing:**
- Prompt for spreadsheet URL or ID
- Extract spreadsheet ID from URL (format: `https://docs.google.com/spreadsheets/d/{SPREADSHEET_ID}/edit`)
- Proceed to Step 2
### Step 2: Read Spreadsheet Structure
Use MCP tool to list sheets in spreadsheet.
**Check for key sheets:**
- "Analysis" sheet exists?
- "Summary" sheet exists?
- "Metadata" sheet exists?
**If no sheets exist:** Fresh spreadsheet, go to Phase 2 (Define Options)
**If Metadata sheet exists:** Read workflow state (Step 3)
**If only Analysis exists, no Metadata:** Corrupted state - offer to create Metadata sheet and infer state from Analysis structure
### Step 3: Read Metadata Sheet Workflow State
Metadata sheet structure:
```
A B
7 Workflow State
8 options_defined TRUE/FALSE
9 areas_defined TRUE/FALSE
10 considerations_defined TRUE/FALSE
11 scoring_complete TRUE/FALSE
12 summary_created TRUE/FALSE
```
Read cells B8:B12 to determine which phases are complete.
### Step 4: Display Current State and Menu
Example output:
```
Options Analysis Status:
✓ Options defined (3 options: AWS, Azure, GCP)
✓ Areas defined (4 areas with weights)
✓ Considerations defined (18 considerations across areas)
○ Scoring in progress (42 of 54 cells scored - 78%)
○ Summary not yet created
What would you like to do?
1. Continue scoring (12 cells remaining)
2. Add new option
3. Add new consideration or area
4. Modify area weights
5. Review current scores
6. Generate summary (requires all scoring complete)
7. Start fresh analysis (will archive current work)
```
Use AskUserQuestion tool to present menu with options.
### Step 5: Route to Appropriate Phase
Based on user selection and current state, jump to the relevant phase section below.
---
## The Workflow
When starting this skill, create a TodoWrite checklist to track progress:
```markdown
Options Analysis Workflow:
- [ ] Phase 1: State Detection & Orientation
- [ ] Phase 2: Define Options
- [ ] Phase 3: Define Areas & Weights
- [ ] Phase 4: Define Considerations
- [ ] Phase 5: Scoring
- [ ] Phase 6: Summary Generation
- [ ] Phase 7: Maintenance (ongoing)
```
Copy this checklist to TodoWrite at the start of each session. Update task status as you progress through phases.
### Phase Overview
| Phase | Goal | Output |
|-------|------|--------|
| 1. State Detection | Determine current analysis state | Navigation menu |
| 2. Define Options | Set up options being evaluated | Analysis sheet with option columns |
| 3. Define Areas & Weights | Create decision areas with importance weights | Metadata sheet with normalized weights |
| 4. Define Considerations | Add specific criteria under each area | Analysis sheet with colored, grouped rows |
| 5. Scoring | Collect scores and justifications for each cell | Populated Analysis sheet |
| 6. Summary Generation | Calculate weighted scores and ranking | Summary sheet with formulas |
| 7. Maintenance | Add options/considerations, modify weights | Updated analysis |
Phases 2-6 can be partially completed and resumed. Phase 7 is entered after initial analysis is complete.
---
## Phase Details
### Phase 2: Define Options
**Goal:** Establish the options being evaluated (e.g., AWS, Azure, GCP).
**Prerequisites:** Spreadsheet created (empty or has ID)
**Steps:**
#### Step 1: Prompt for options
Ask user: "What options are you evaluating? Please list them separated by commas."
Example user response: "AWS, Azure, Google Cloud Platform"
Parse response into array: `["AWS", "Azure", "GRelated in Data & Analytics
clawarr-suite
IncludedComprehensive management for self-hosted media stacks (Sonarr, Radarr, Lidarr, Readarr, Prowlarr, Bazarr, Overseerr, Plex, Tautulli, SABnzbd, Recyclarr, Unpackerr, Notifiarr, Maintainerr, Kometa, FlareSolverr). Deep library exploration, analytics, dashboard generation, content management, request handling, subtitle management, indexer control, download monitoring, quality profile sync, library cleanup automation, notification routing, collection/overlay management, and media tracker integration (Trakt, Letterboxd, Simkl).
querying-soql
IncludedSOQL query generation, optimization, and analysis with 100-point scoring. Use this skill when the user needs SOQL/SOSL authoring or optimization: natural-language-to-query generation, relationship queries, aggregates, query-plan analysis, and performance or safety improvements for Salesforce queries. TRIGGER when: user writes, optimizes, or debugs SOQL/SOSL queries, touches .soql files, or asks about relationship queries, aggregates, or query performance. DO NOT TRIGGER when: bulk data operations (use handling-sf-data), Apex DML logic (use generating-apex), or report/dashboard queries.
app-store-optimization
IncludedApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
habit-flow
IncludedAI-powered atomic habit tracker with natural language logging, streak tracking, smart reminders, and coaching. Use for creating habits, logging completions naturally ("I meditated today"), viewing progress, and getting personalized coaching.
app-store-optimization
IncludedApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
visualizing-data
IncludedBuilds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.