# Ost Target Selection

> Select one target opportunity from an OST using evidence-based weighted scoring and tie-breakers.

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

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# OST Target Selection

Choose exactly one opportunity to pursue next.

## Instructions

### Step 1: Harvest candidates from OST
- Include leaves and relevant parents with strong evidence.
- Merge duplicates and reframe solution language into need language.

### Step 2: Score candidates
- Score 1-5 for OS, MF, CF, CuF.
- Use default weights unless custom weights are provided.
- Compute weighted priority score (WPS).

### Step 3: Build shortlist
- Select top 3-5 by WPS.
- Apply tie-breakers: distinctness, evidence quality, time-to-learning, risk diversification.

### Step 4: Recommend one target
- Pick one small, distinct, moment-scoped opportunity.
- Exclude engineering effort prioritization.

### Step 5: Audit alignment
- Confirm no-effort-policy and moment distinctness.
- List evidence gaps and follow-up needs.

## Output

- Candidate inventory
- Scoring matrix with WPS
- Top 3-5 shortlist
- Single recommendation with rationale
- Audit notes

## When to Use

Use this skill when the task directly matches the workflow described above.

## When Not to Use

Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.