# Rapid Triage

> Strategy: rapid coarse screening — two filtering rounds compress a large set of gaps into a fine-rankable candidate set

- Skill: `yogsoth-ai/rapid-triage` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/rapid-triage`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/rapid-triage/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/rapid-triage

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# Rapid Triage

Rapid coarse screening: when the number of gaps is very large (50+), first use binary filtering to quickly eliminate obviously unqualified gaps, then lightly score the survivors, compressing the candidate set down to a fine-rankable size.

## When to Use

- The number of gaps is very large (50+), making full multi-dimensional scoring of each gap infeasible
- Time or compute resources are limited and a quick preliminary ranking is needed
- As a precursor step to multi-criteria-ranking or portfolio-optimization
- You need to quickly show a team "which gaps are not worth considering"

## Thinking Framework

**Core principle**: don't finely rank garbage. Eliminate first, then fine-rank.

Two filtering rounds:

**Round 1: binary filtering (Keep / Drop)**
Ask three yes/no questions about each gap:
- Is this gap within our research scope? (scope filter)
- Is this gap technically solvable (not a philosophical problem, not an unbounded problem)? (solvability filter)
- Is this gap already being adequately addressed by sufficient recent work? (novelty filter)

Any answer of "no" → Drop. Passing all three → advance to round 2.

**Round 2: light scoring (1–3 points, two dimensions)**
Score surviving gaps on only two dimensions:
- Importance (1–3): a rough estimate of field impact
- Feasibility (1–3): whether progress can be made within 6 months with existing resources

Score = importance × feasibility (max 9 points). Take top-K (K = target fine-ranking count) into the next stage.

**Key insight**: the three round-1 questions must be answered quickly (no more than 30 seconds per gap); no deep analysis allowed. Speed is the core value of this strategy.

## Budget Gate

| Tier | Input gap count | Round-1 retention rate | Round-2 output | Final output |
|------|------------|------------|---------|---------|
| S | 50–80 | ≤60% | top-15 | Candidate set + elimination-rationale summary |
| M | 81–150 | ≤50% | top-20 | Candidate set + elimination-rationale summary |
| L | 150+ | ≤40% | top-30 | Candidate set + elimination-rationale summary + category statistics |

## Default Reference Flow

1. Call the `gap-normalization` SOP: normalize gap format, generate a one-sentence summary for each gap
2. Run round-1 binary filtering: answer the three yes/no questions for each gap, mark Keep / Drop
3. Record Drop rationale (out of scope / unsolvable / already adequately researched)
4. Call the `importance-scoring` SOP on the Keep set (1–3 coarse score)
5. Call the `feasibility-scoring` SOP on the Keep set (1–3 coarse score)
6. Call the `scoring-matrix-construction` tactic: build a light scoring matrix
7. Sort by importance × feasibility, take top-K
8. Call the `priority-synthesis` SOP: output the candidate set + elimination statistics

## context-checkpoint

After each round, record:
- Round-1 filtering result (Keep/Drop counts + Drop-reason distribution)
- Round-2 scoring matrix (surviving gaps × 2 dimensions)
- Final candidate set (top-K gap list)
- Suggested next strategy (multi-criteria-ranking or portfolio-optimization)

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## Available Tactics

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

| Tactic | When to use |
| --- | --- |
| hypothesis-formation-scoring-matrix-construction | Tactic: orchestrate multi-dimensional scoring SOPs to build a comprehensive assessment matrix for all gaps |

## Available SOPs

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

| SOP | When to use |
| --- | --- |
| gap-normalization | SOP: Unify gaps from different sources into the standard GapRecord format |
| priority-synthesis | SOP: synthesize all scoring data into a final gap priority list and attack-path suggestions |

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