knowledge-structuring-gap-prioritization

Productivity

Strategy for ranking unexplored combinations by novelty, feasibility, and potential impact.

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Source SKILL.md: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/knowledge-structuring-gap-prioritization/SKILL.md

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Gap Prioritization

Rank the empty cells (unexplored combinations) by their potential value. Not all gaps are worth filling — prioritize by novelty, feasibility, and expected impact.

Guiding Focus

An empty cell is only an opportunity if it's feasible and valuable. Rank gaps by: (1) how novel the combination is, (2) how feasible it is to realize, (3) what impact it would have if successful.

Available Tactics

matrix-generation — refine the matrix with priority annotations
axis-extraction — verify gap is truly unexplored (not just differently named)

Budget Slice

Metric	S	M	L
Gaps scored	3	8	15
Questions generated	3	8	15
Top priorities identified	2	4	8

State Ledger Template

| Metric              | Target | Current | Status |
|---------------------|--------|---------|--------|
| Gaps scored         | X      | 0       | ⬜     |
| Questions generated | X      | 0       | ⬜     |
| Top priorities      | X      | 0       | ⬜     |

Available Tactics

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

Tactic	When to use
axis-extraction	Tactic for systematically extracting axes of variation from literature — identify how practitioners compare approaches.
matrix-generation	Tactic for generating and populating combination matrices — cross dimensions to enumerate the design space.

Available SOPs

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

SOP	When to use
knowledge-structuring-novelty-scoring	SOP for scoring empty cells by novelty potential — how surprising and valuable would this combination be?
matrix-export	SOP for exporting the dimensional matrix as a readable document or structured data.
question-generation	SOP for generating research questions from promising gaps in the design space.