direction-narrowing

name	direction-narrowing
description	Focus within the user's chosen field(s). Identify specific sub-directions through deep paper and web research, then present ranked candidates. Use after landscape-reconnaissance has identified fields of interest.
dependencies	{"sops":["deep-web-search","north-star-crystallization-broad-paper-search","present-candidates"]}

Direction Narrowing

Focus within chosen field(s). Identify specific sub-directions and present ranked candidates.

Available SOPs

SOP	Purpose	Execution
broad-paper-search	Scan papers in the chosen field(s)	import: literature-overview
deep-web-search	Deep reading of web resources in the field	subagent
present-candidates	Present ranked sub-directions to user	dialogue

Methodology Guidance

• hot-start may only need partial SOP execution (a few searches for context)
• You decide search depth based on information sufficiency
• present-candidates depth scales by start mode:
  • cold-start: broad sub-directions available to pursue
  • warm-start: specific sub-problems and research tracks
  • hot-start: granular knowledge points, technical details

Hard Constraints

• broad-paper-search: at least 80 papers scanned
• deep-web-search: at least 30 web pages read in full

Output (Tactic-Level Aggregation)

RankedCandidates[] + user's selection

Available SOPs

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

SOP	When to use
deep-web-search	Full-page web reading for non-academic perspectives — blogs, tech reports, product pages, industry analysis. Spawns a subagent to read pages in isolated context. Hard constraint: at least 30 web pages read in full.
north-star-crystallization-broad-paper-search	Paper landscape scan within selected field(s). Strict import of literature-engine/literature-overview skill. Hard constraint: at least 80 papers scanned.
present-candidates	Analyze sub-directions within the user's chosen field and present ranked candidates. Combines sub-direction identification, skill-gap matching, and presentation into a single SOP. Depth scales by start mode: cold-start shows broad sub-directions, warm-start shows specific sub-problems, hot-start shows granular technical details.