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Patterns and example code for building webhook-style monitors and alerts around Exa neural search (scheduled monitors, similarity alerts, digests).
Describes patterns and example implementations for creating event-driven workflows around Exa (a synchronous neural search API). Because Exa lacks native webhooks, this skill shows how to build scheduled monitors, similarity alerts, new-content detection, webhook delivery with retries, and daily digests using Exa’s search APIs plus a job queue or cron.
Use this when you need automated content monitoring, competitive intelligence pipelines, scheduled search automation, or daily research digests driven by Exa. It’s appropriate for teams building notification pipelines (webhooks/Slack/email) that need deduplication, retry logic, and interval-based checks.
Best used by code-capable assistants (Claude Code, Codex, Copilot) that can author or suggest deployment-ready TypeScript/Node code.
Pattern/reference skill for building webhook-style monitors around Exa neural search API. No bundled scripts — provides TypeScript code examples for content monitoring, similarity alerts, and daily digests via BullMQ. Code is well-structured with good error handling guidance, though some helper functions are referenced but not implemented. Fills a genuine gap since Exa has no native webhooks.
Clean skill with no security concerns. allowed-tools grants curl and node access which is appropriate for the webhook delivery pattern. Code examples are reference quality, not runnable scripts.
