Skill UI

A comprehensive guide and code implementation for setting up observability, metrics, and alerting for Exa search integrations. This skill tracks crucial KPIs such as search latency (P50/P95), error rates, result usage, and cache hit ratios. It is essential for monitoring search quality, debugging performance bottlenecks, and managing API resource usage in production environments.

This guide provides advanced technical patterns for optimizing Exa API performance in production workloads. It covers critical strategies such as selecting the optimal search type based on latency budgets (e.g., instant vs. neural), implementing robust result caching using LRU, minimizing content retrieval size, and executing parallel queries to maximize throughput. Essential for building reliable, low-latency, and cost-effective search integrations.

A comprehensive guardrail system for external search APIs (like Exa). It enforces content safety policies, manages domain access via allow/blocklists, sanitizes queries to prevent misuse, implements result freshness checks, and enforces per-user usage quotas. Essential for building reliable, secure, and cost-controlled integrations.

This skill provides the production-ready reference architecture for integrating Exa into complex applications. It covers advanced search pipelines, RAG implementation for context generation, and structured content discovery. Use this to design new Exa integrations, review project structures, or establish industry-standard best practices for neural search systems.

This skill provides robust, production-grade patterns for building fault-tolerant search service integrations, specifically targeting Exa. It covers implementing query fallback chains, circuit breakers to prevent cascading failures, exponential backoff for retries, and graceful degradation levels. Use this when designing mission-critical search features that must remain available and functional even if underlying services fail, rate limit, or suffer performance degradation.

This comprehensive guide provides a structured process for safely upgrading the `exa-js` SDK. It covers checking current vs. latest versions, handling potential breaking changes, and validating API compatibility (e.g., search, getContents, findSimilar). Follow these steps to ensure a smooth and reliable migration across different SDK versions.

Build robust, event-driven integrations with Exa using scheduled monitoring and content alerts. This skill allows users to establish competitive intelligence pipelines, track content changes over time, and automate research digests. It supports new article detection, similarity monitoring, and reliable webhook delivery via background queues.

Documented workflow for orchestrating Extracta AI operations through Composio’s Rube MCP, emphasizing tool discovery, connection checks, and schema-compliant executions with RUBE_SEARCH_TOOLS and RUBE_MULTI_EXECUTE_TOOL calls.

Guide for automating Fibery operations through Composio’s Rube MCP toolkit, covering connection setup, tool discovery, execution steps, and schema-compliant use of search/multi-execute calls.

Automates Finmei tasks through the Composio Finmei toolkit via Rube MCP, guiding users to search tool schemas, verify connections, and execute workflows with schema-compliant arguments.

Guides using Rube MCP (Composio) to discover current Fixer IO tool schemas, verify connections, and execute workflows safely by always searching tools first before calling multi-execute endpoints.

Automates Fomo workflows through Composio’s Rube MCP by discovering current tool schemas, verifying toolkit connections, and executing operations while highlighting the required search-first pattern.