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Unified search aggregator for Google, Wikipedia, Reddit, NewsAPI, and RSS feeds with optional Redis caching. Supports parallel querying and structured JSON output.
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See how to installReview the instructions the agent will receive before you install.
Unified search system for multi-source information gathering.
python3 must be installed.GOOGLE_CSE_KEY and GOOGLE_CSE_ID.NEWSAPI_KEY..env file.pip install redis.Query a specific engine for targeted results.
python3 $WORKSPACE/skills/search-cluster/scripts/search-cluster.py <source> "<query>"google, wiki, reddit, newsapi.Query all supported engines in parallel and aggregate results.
python3 $WORKSPACE/skills/search-cluster/scripts/search-cluster.py all "<query>"Retrieve and parse standard RSS or Atom feeds.
python3 $WORKSPACE/skills/search-cluster/scripts/search-cluster.py rss "<url>"search: to avoid collisions.localhost. Users must explicitly set REDIS_HOST for remote instances.SearchClusterBot agent to comply with site policies.No reviews yet. Tell others what you thought.
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Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
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Query historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user asks about crypto market data, orderbooks, trades, funding rates, or historical prices on Hyperliquid, Lighter.xyz, or HIP-3.
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Calculate ROI for AI-as-a-Service (managed AI agents). Estimates cost savings, efficiency gains, and payback period for deploying AI agents across business operations. Use when evaluating whether managed AI agents make financial sense for a company.
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Design, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms. Complete methodology from agent architecture through orchestration, memory systems, safety guardrails, and operational excellence.
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Design, build, test, document, and secure production-grade APIs. Covers the full lifecycle from schema design through deployment, monitoring, and versioning. Use when designing new APIs, reviewing existing ones, generating OpenAPI specs, building test suites, or debugging production issues.
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Turn your AI agent into a business automation architect. Design, document, implement, and monitor automated workflows across sales, ops, finance, HR, and support — no n8n or Zapier required.
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