yogsoth-ai 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-candidatesdepth 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 scanneddeep-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. |