# Build Opportunity Scout

> Analyze harvested trend data and generate prioritized build opportunities for new skills/apps (P0/P1/P2) with implementation hints. Use when user wants actionable project direction from continuous trend scraping.

- Skill: `luokai0/build-opportunity-scout` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add luokai0/build-opportunity-scout`
- Raw SKILL.md: https://api.skillmd.com/api/skills/luokai0/build-opportunity-scout/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: luokai0 (https://skillmd.com/u/luokai0)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/luokai0/build-opportunity-scout

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# Build Opportunity Scout

Turn trend feed noise into actionable build queue.

## Inputs

- `/root/.openclaw/workspace/data/harvest/feature_patterns.json`

## Outputs

- `/root/.openclaw/workspace/data/harvest/opportunities.json`
- `/root/.openclaw/workspace/data/harvest/opportunities.md`

## Run

```bash
python3 /root/.openclaw/workspace/skills/build-opportunity-scout/scripts/scout.py
```

## What it generates

For each opportunity:
- title
- type (skill/app)
- priority (P0/P1/P2)
- impact (1-5)
- effort (1-5)
- score
- why_now
- mvp_steps

## Operator rules

- Prefer practical opportunities with clear MVP steps
- Keep output concise and execution-first
- Deduplicate similar ideas