agentleFS
yogsoth-aiyogsoth-ai/knowledge-structuring/skills/gap-prioritization/SKILL.md

gap-prioritization

Skill2 starsChanged 6 months agoApache-2.0View on GitHub

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

The file

Files
SKILL.md

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

MetricSML
Gaps scored3815
Questions generated3815
Top priorities identified248

State Ledger Template

| Metric              | Target | Current | Status |
|---------------------|--------|---------|--------|
| Gaps scored         | X      | 0       | ⬜     |
| Questions generated | X      | 0       | ⬜     |
| Top priorities      | X      | 0       | ⬜     |
<HARD-GATE> Cannot exit until 80% of budget met. Print state ledger before each iteration decision. </HARD-GATE>

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

Reviews can't be read right now.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.