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yogsoth-aiyogsoth-ai/north-star-crystallization/skills/landscape-reconnaissance/SKILL.md

landscape-reconnaissance

Skill2 starsChanged 6 months agoApache-2.0View on GitHub

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.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If iteration is needed, expand breadth (more fields, more searches), never depth

    line 21

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Landscape Reconnaissance

Broad, shallow field exploration. Understand the landscape of possibilities before narrowing.

Available SOPs

SOPPurposeExecution
generate-candidate-fieldsGenerate candidate fields from ActorProfilesubagent
broad-web-searchScan web for each candidate fieldimport: web-search
landscape-synthesisSynthesize search results into FieldPanoramasubagent
present-and-askPresent panorama to user, get field selectiondialogue

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

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