deep-research

1# Deep Research
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3Comprehensive research and discovery before building something new. Instead of jumping straight into code from training data, this skill goes wide and deep — local exploration, web research, competitor analysis, ecosystem signals, future-casting — and produces a research brief that makes the actual build 10x more productive.
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5## Depth Levels
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7The difference is **scope of ambition**, not just time.
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9| Depth | Purpose | Scope |
10|-------|---------|-------|
11| **focused** | Answer a specific question | One decision: "CodeMirror vs ProseMirror?" — targeted search, local scan, 1-2 comparisons. Produces a 1-page recommendation. |
12| **wide** | Understand the space | Landscape for a new product or feature. Competitors, ecosystem, user needs, architecture options. Enough to write a spec. |
13| **deep** | Plan a major build | Leave no stone unturned. Everything in wide PLUS library/component research, plugin ecosystems, GitHub issues mining, community sentiment, future-casting, technical deep-dives on every decision. Enough to drive weeks of coding. |
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15Default: **wide**
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17## Workflow
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19### 1. Understand the Intent
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21Ask the user:
22- **What** are you building? (one sentence)
23- **Why?** What problem does it solve? Who's it for?
24- **Constraints?** Stack preferences, budget, timeline, must-haves?
25- **Existing work?** Any projects to build on? Repos to look at?
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