present-candidates

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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.

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

name: present-candidates description: '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.' execution: dialogue

Present Candidates

Analyze + present sub-directions as ranked candidates.

Execution

Dialogue — inline, CC does the analysis and presents directly.

What to Do

  1. From broad-paper-search and deep-web-search results, identify distinct sub-directions within the chosen field
  2. For each sub-direction, assess: current activity level, gap size, skill fit with ActorProfile
  3. Rank and present to user

Depth Scales by Start Mode

  • cold-start: "Here are the broad sub-directions you could pursue in [field]"
  • warm-start: "Within [direction], here are the specific sub-problems and research tracks"
  • hot-start: "For [specific topic], here are the granular knowledge points and technical details to consider"

What to Ask (one at a time)

  • Which of these excites you most?
  • Where do you think you could make a unique contribution?

Output

RankedCandidates[] + user's selection.

Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill present-candidates
Repository Details
star Stars 312
call_split Forks 25
navigation Branch main
article Path SKILL.md
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