Skill UI

Guides REST API teams on naming resources, versioning, pagination, OpenAPI specs, error handling, headers, and rate limiting to keep services consistent, scalable, and client-friendly.

A comprehensive guide to modern API design principles and architectural decision-making. Learn how to select the right pattern (REST, GraphQL, tRPC), implement robust versioning strategies, handle pagination, define standardized response formats, and incorporate essential security measures like authentication and rate limiting. Essential for building scalable and reliable backend services.

Automates guidance for API rate limiting configuration, covering REST/GraphQL/OpenAPI scenarios, authentication, best practices, and producible configs so developers can enforce consistent throttling policies quickly.

A comprehensive guide for developers on building secure and robust APIs across REST, GraphQL, and WebSocket protocols. It covers essential security patterns including robust authentication (JWT, OAuth 2.0), granular authorization (RBAC), input validation to prevent injection attacks (SQLi, XSS), rate limiting, and best practices for data encryption and secure headers. Essential for developers preparing for security audits.

A specialized workflow guide for comprehensive security testing of REST and GraphQL APIs. It systematically covers critical security aspects such as authentication validation (OAuth2, JWT), authorization checks (IDOR, privilege escalation), input validation (SQL/NoSQL injection), rate limiting enforcement, and secure error handling. Ideal for vulnerability assessment, bug bounty programs, and pre-deployment security audits.

Provides a comprehensive guide to diagnosing and fixing common API errors encountered when integrating with Apollo.io. Covers specific HTTP status codes (401, 403, 429, 422), addressing issues like invalid API keys, insufficient permissions (Master vs Standard keys), rate limiting, and request validation failures. Essential for robust API development and debugging.

This tool collects comprehensive diagnostic evidence for troubleshooting issues with the Apollo.io API. It generates a structured JSON bundle containing environment details (Node.js version, platform), connectivity test results, rate limit status, key type verification, and detailed reports on multiple core API endpoints. Essential for preparing detailed support tickets.

A comprehensive pattern for configuring API clients across multiple operational environments (development, staging, production). This skill uses TypeScript schemas and factory patterns to ensure environment isolation, manage distinct credentials, enforce rate limiting, and implement feature gating. It is essential for building robust, scalable SaaS applications that interact with external services like Apollo.io.

Implement comprehensive observability for Apollo.io API integrations. This skill provides structured instrumentation covering Prometheus metrics (request count, latency, rate limits, credits used), structured logging with PII redaction, and OpenTelemetry tracing. It ensures reliable tracking of API health, performance, and resource consumption.

This comprehensive tool provides an automated, multi-stage checklist for deploying Apollo.io integrations to a production environment. It validates crucial aspects including secure authentication (API keys, headers), system resilience (rate limiting, retry logic), observability (PII redaction, structured logging), and financial controls (credit tracking). Use this checklist before going live or when performing production system audits to ensure full compliance and stability.

This skill provides a comprehensive guide and implementation for handling API rate limiting and network retries (429 errors). It utilizes advanced patterns like the Sliding Window Limiter for per-endpoint rate control, exponential backoff with jitter, and request queuing with concurrency control. Ideal for building robust, resilient applications that interact with rate-limited external APIs like Apollo.io.

Provides expert guidance for integrating Atlassian project tracking and documentation via the MCP protocol, covering Jira JQL/CQL queries, sprint automation, authentication, error handling, and rate limit-aware workflows for secure issue and Confluence page management.