landscape-reconnaissance

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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.

yogsoth-ai By yogsoth-ai schedule Updated 5/19/2026

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. dependencies: sops: - generate-candidate-fields - landscape-synthesis - north-star-crystallization-broad-web-search - present-and-ask

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

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP When to use
generate-candidate-fields Propose 3-8 candidate research fields based on the full ActorProfile. When user wants to explore beyond their current stack, use other ActorProfile signals (intentionality, boundary) to determine exploration space. Free exploration within the boundary.
landscape-synthesis Evaluate each candidate research field on maturity, competition, entry barrier, and publication opportunity. Synthesizes broad-web-search results into a structured FieldPanorama. Must consider both niche approaches AND direct frontal competition in hot fields.
north-star-crystallization-broad-web-search Quick web scanning for field landscape understanding. Strict import of web-browsing/web-search skill. Hard constraint: brave_web_search count=10 per call, at least 150 total search results before completing.
present-and-ask Present the field panorama to the user and gather their preferences — which fields interest them, which they reject, and why. A dialogue SOP that bridges landscape-synthesis output to user decision.
Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill landscape-reconnaissance
Repository Details
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