Skill UI

Covers designing agent tools from schema creation through validation and error handling, emphasizing descriptions that keep LLMs accurate and reusable via MCP standards.

This skill covers the comprehensive architecture design and construction of autonomous AI agents. Experts master advanced concepts including tool use, hierarchical memory systems (episodic, semantic, working), sophisticated planning strategies (ReAct, Plan-and-Execute), and multi-agent orchestration. It focuses on building systems that achieve high levels of autonomy while maintaining critical human oversight, designing for graceful degradation and rigorous error handling.

This skill covers the comprehensive architecture design and construction of autonomous AI agents. Experts master advanced concepts including tool use, hierarchical memory systems (episodic, semantic, working), sophisticated planning strategies (ReAct, Plan-and-Execute), and multi-agent orchestration. It focuses on building systems that achieve high levels of autonomy while maintaining critical human oversight, designing for graceful degradation and rigorous error handling.

This skill guides the definition of comprehensive API contracts, serving as the shared interface specification between backend and frontend services. It covers defining request/response schemas, endpoint routes, TypeScript interfaces, and standardized error handling. Use it when establishing, modifying, or documenting the interaction points between different system components to ensure seamless integration and type consistency.

This skill guides the definition of comprehensive API contracts, serving as the shared interface specification between backend and frontend services. It covers defining request/response schemas, endpoint routes, TypeScript interfaces, and standardized error handling. Use it when establishing, modifying, or documenting the interaction points between different system components to ensure seamless integration and type consistency.

A comprehensive guide covering best practices for designing developer-friendly REST APIs. Learn proper resource naming conventions (nouns, plural, kebab-case), effective use of HTTP methods (GET, POST, PUT, PATCH, DELETE), and semantic status codes (4xx, 5xx). The guide also details advanced topics like cursor-based pagination, field filtering, query parameter usage, and robust error handling formats.

A comprehensive guide covering best practices for designing developer-friendly REST APIs. Learn proper resource naming conventions (nouns, plural, kebab-case), effective use of HTTP methods (GET, POST, PUT, PATCH, DELETE), and semantic status codes (4xx, 5xx). The guide also details advanced topics like cursor-based pagination, field filtering, query parameter usage, and robust error handling formats.

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.

Guides REST and GraphQL API architects through domain modeling, OpenAPI 3.1 contract drafting, pagination, versioning, error handling, and mock verification.

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.

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.

This module provides production-ready TypeScript patterns for interacting with the Apollo.io REST API. It implements critical best practices including type-safe client setup (using Zod), custom error handling, exponential backoff retry logic, asynchronous pagination, and rate-aware bulk processing. Use this when building reliable, scalable, and robust integrations with Apollo data.