Broad, shallow exploration of candidate research fields. Understand what's out there before narrowing. Use when the user needs to discover which fields are available to them — especially in cold-start and warm-start scenarios.
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---
name: landscape-reconnaissance
description: Broad, shallow exploration of candidate research fields. Understand what's out there before narrowing. Use when the user needs to discover which fields are available to them — especially in cold-start and warm-start scenarios.
---
# Landscape Reconnaissance
Broad, shallow field exploration. Understand the landscape of possibilities before narrowing.
## Available SOPs
| SOP | Purpose | Execution |
|-----|---------|-----------|
| generate-candidate-fields | Generate candidate fields from ActorProfile | subagent |
| broad-web-search | Scan web for each candidate field | import: web-search |
| landscape-synthesis | Synthesize search results into FieldPanorama | subagent |
| present-and-ask | Present panorama to user, get field selection | dialogue |
## Methodology Guidance
- If iteration is needed, expand breadth (more fields, more searches), never depth
- Depth is direction-narrowing's job
- You decide when enough information exists to synthesize
## Hard Constraints
- `broad-web-search`: brave_web_search count=10 per call, at least 150 total results before synthesis
- `landscape-synthesis`: Don't only chase niche/novel combinations. Must also consider direct frontal competition in hot fields. The ambition to tackle hard problems head-on must be present.
## Output (Tactic-Level Aggregation)
`FieldPanorama[] + user's selected 1-2 fields of interest`
