# Search Strategy Relevance Scoring

> Sub-skill of search-strategy: Relevance Scoring (+1).

- Skill: `vamseeachanta/search-strategy-relevance-scoring` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/search-strategy-relevance-scoring`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/search-strategy-relevance-scoring/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vamseeachanta/search-strategy-relevance-scoring

---


# Relevance Scoring (+1)

## Relevance Scoring


Score each result on these factors (weighted by query type):

| Factor | Weight (Decision) | Weight (Status) | Weight (Document) | Weight (Factual) |
|--------|-------------------|------------------|--------------------|-------------------|
| Keyword match | 0.3 | 0.2 | 0.4 | 0.3 |
| Freshness | 0.3 | 0.4 | 0.2 | 0.1 |
| Authority | 0.2 | 0.1 | 0.3 | 0.4 |
| Completeness | 0.2 | 0.3 | 0.1 | 0.2 |


## Authority Hierarchy


Depends on query type:

**For factual/policy questions:**
```
Wiki/Official docs > Shared documents > Email announcements > Chat messages
```

**For "what happened" / decision questions:**
```
Meeting notes > Thread conclusions > Email confirmations > Chat messages
```

**For status questions:**
```
Task tracker > Recent chat > Status docs > Email updates
```

