search-integration

What problem does it solve?

AI prompts often need guidance on when to search, what to search, and which data sources to query. This Skill provides a structured approach to define search triggers, sources, and re-search rules to ensure up-to-date and verifiable results.

Core Features & Use Cases

• Search trigger matrix design: define when to search vs. skip search depending on content type and timeliness
• Multi-query strategy: require diverse query shapes to cover intent
• Source priority and fallback: establish enterprise data, licensed data, public sources with clear priority and downgrades
• Re-search policy on follow-up questions: avoid stale results by re-running searches
• Domain-specific search rules: finance, local, travel, sports etc.
• Cost-awareness: treat search as cheap and justify latency allowances
• No-search fallback: for notebooks and strict source-based reading, rely on citations

Quick Start

Define your initial search triggers, source priorities, and re-search rules to govern how your AI agent hunts for information.