Unified search tool for Google, Wikipedia, Reddit, and RSS feeds with Redis caching. Use when user asks "search for X", "who is Y", "latest news on Z".
Scanned 9/4/2026
Install to Claude Code
Skills Directorynpx -y skills add NeverSight/skills_feed --skill search-cluster --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: search-cluster
description: Unified search tool for Google, Wikipedia, Reddit, and RSS feeds with Redis caching. Use when user asks "search for X", "who is Y", "latest news on Z".
---
# Search Cluster
## Setup
1. Copy `.env.example` to `.env`.
2. Set `GOOGLE_CSE_KEY` (or `GOOGLE_API_KEY`) and `GOOGLE_CSE_ID`.
3. Ensure Redis is accessible (host/port or Docker container).
## Usage
- **Role**: Information Scout.
- **Trigger**: "Search for...", "Find info about...", "Check Reddit for...".
- **Output**: JSON list of results (Title, Link, Snippet, Source).
### Commands
```bash
# Search Google
python3 scripts/search-cluster google "query"
# Search All Sources (Parallel)
python3 scripts/search-cluster all "query"
# Fetch RSS Feed
python3 scripts/search-cluster rss "https://rss-url.com/feed"
```
## Capabilities
1. **Multi-Engine Clustering**: Query Google, Wiki, and Reddit in parallel (`all` mode).
2. **Robust Caching**: Save results to Redis (TTL 24h) to save API quota.
3. **Resilient Parsing**: Validates XML for RSS and handles API errors gracefully.
## Reference Materials
- [Search APIs & Caching](references/search-apis.md)
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