What problem does it solve? LLM training data goes stale, so answers about current versions, recent releases, or fast-moving topics can be outdated or wrong. This Skill forces every answer to be grounded in live web search results with cited sources instead of relying on memorized knowledge. ## Core Features & Use Cases - Mandatory Web Search: Always uses the WebSearch tool rather than answering from model knowledge, even when the answer seems known. - Freshness-First Queries: Adds the current year to queries and prioritizes official documentation, release notes, and official blogs before falling back to Stack Overflow, Zenn, Reddit, or GitHub. - Doubt Verification: Triggers on challenges like "本当に?" or "それ最新?" to fact-check a previous answer and pinpoint exactly what was inaccurate or outdated. - Use Case: A user asks whether a library API changed in the latest release. The Skill searches official release notes and docs in both English and Japanese, then answers with the conclusion first and source URLs listed at the end. ## Quick Start Ask the agent to search the web for the latest information on a topic, for example by saying "ググって" or asking it to verify whether a previous answer is still current.