git:20261106.bb3d139 to git:20261106.fabdbaf

2 added, 0 removed. Audit A to A.

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name: qual-configure-analysis
description: Configure AI model selection, batch processing, and analysis parameters for Stage 2
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+ > Script paths: `${CLAUDE_PLUGIN_ROOT}` below is this plugin's root folder, two levels above this skill's own folder. Claude Code fills it in. If you see it unfilled, still starting with a dollar sign (as in Codex, Copilot CLI or Kimi Code), put that folder's absolute path in its place before you run a command.
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# /qual-configure-analysis - Technical Decision Support
Get help choosing AI models, thinking budgets, and processing strategies for YOUR research - without needing programming knowledge.
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## When to Use This
- **Before Stage 2 begins** - planning your analysis approach
- **When choosing models** - Opus vs Sonnet vs Gemini?
- **Setting up batch processing** - how to handle large datasets efficiently
- **Understanding costs** - budget planning and optimization
- **If you don't code** - need technical setup help
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## What Happens
**Invokes:** `@research-configurator` agent - your technical advisor
The agent will:
1. Ask about YOUR research (data volume, complexity, goals, budget)
2. Recommend appropriate model configurations
3. Explain trade-offs in research terms (not tech jargon)
4. Estimate costs transparently
5. Generate processing scripts if you want batch/parallel coding
**You don't need to code** - the agent handles technical complexity.
**You DO need to decide** - what trade-offs matter for YOUR research.
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## Quick Reference
| Dataset Size | Recommended Model | Estimated Cost |
|--------------|-------------------|----------------|
| Small (10-20) | Opus - deep engagement | $20-30 |
| Medium (40-80) | Sonnet - balanced | $40-80 |
| Large (100-300) | Flash/Haiku + review | $30-60 |
| Complex/Exploratory | Opus regardless | Higher |
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## Implementation
*This command uses the `analysis-orchestration` skill and `@research-configurator` agent.*
**For Claude:** When user runs /qual-configure-analysis:
1. **Connect to @research-configurator**
- This agent specializes in technical translation for non-programmers
2. **Gather Research Context**
- Ask about data volume, complexity, budget constraints
- Understand their analytical goals
3. **Use analysis-orchestration Skill**
- Read `skills/analysis-orchestration/SKILL.md` for model selection guidance
- Use `${CLAUDE_PLUGIN_ROOT}/skills/analysis-orchestration/scripts/estimate-costs.js` for cost estimation
4. **Provide Recommendations**
- Model selection with research-focused rationale
- Cost estimates with transparency
- Processing strategy (sequential, batch, parallel)
5. **Offer Setup Assistance**
- API configuration if needed
- Script generation for batch processing
- Progress monitoring setup
**Philosophy:** Making Partnership Agency accessible to all qualitative researchers, regardless of coding skill.
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## Related
- **Skill:** `analysis-orchestration` (model selection, cost estimation)
- **Agent:** `@research-configurator` (interactive technical guidance)
- **Skill:** `coding-workflow` (for batch processing execution)