Best Best AI Agent Skills for API Development

Guide to selecting and optimizing embedding models for vector search applications.

Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.

Optimizes vector indexes for enhanced production performance by tuning HNSW parameters and implementing quantization strategies. Developers benefit from improved search latency and memory efficiency, ensuring faster and more scalable vector searches in large datasets.

Implements efficient similarity search workflows for various applications, including semantic search systems and recommendation engines. By utilizing this skill, developers can significantly improve search accuracy and performance, ensuring quick retrieval of similar items even from large datasets.

Facilitates seamless PayPal payment processing, including integration for various payment types like one-time purchases and subscriptions. By implementing this skill, developers can streamline the payment workflow, reduce errors, and enhance user experience during online transactions.

Manages distributed transactions and long-running business processes in microservices architectures. By implementing a saga orchestration pattern, it facilitates coordinated multi-service actions that enhance reliability and failure handling.

Handles the integration of vector similarity with keyword-based search methods in retrieval-augmented generation systems. This skill enhances search effectiveness by combining semantic understanding with precise keyword matches, improving recall for domain-specific queries.

Handles the implementation of observability patterns for service meshes like Istio and Linkerd. By using this skill, developers can enhance system reliability and performance through effective monitoring and troubleshooting of service interactions.

Facilitates the implementation of ERC-721 and ERC-1155 NFT standards for both on-chain and off-chain scenarios. Developers can streamline NFT creation and management, enhancing their projects with features like royalties and metadata best practices.

Manages the development and deployment of Cloudflare Workers and their resources efficiently. By automating the setup and monitoring processes, it enhances productivity and reduces errors during worker management.

Manages the routing of emails through various sub-skills tailored for sending and receiving. By installing this skill, developers can streamline their email handling processes, reducing the complexities associated with both transactional and inbound emails.

Handles the creation and management of ElysiaJS type-safe backend servers and routes. Developers benefit by streamlining server setup and reducing coding errors through built-in validation and authentication features.

Facilitates the deployment and management of applications on the Cloudflare platform through a variety of services like serverless functions and stateful coordination. This skill streamlines workflows by consolidating necessary steps for authentication, code execution, and data storage, reducing time spent on deployment processes.

Facilitates web data extraction by rendering JavaScript and bypassing anti-bot measures to capture dynamic content. Automates the process of gathering structured data from websites, saving developers time and reducing the likelihood of errors in data collection.

Facilitates the creation and registration of API contracts in a structured manner for oRPC projects. By employing this skill, developers can streamline API integration, reducing errors and improving maintainability.

Guides developers in implementing API security practices such as authentication, authorization, and input validation. By using this skill, developers can ensure that their APIs are protected against common vulnerabilities and attacks, promoting a more secure application environment.

Automates the creation of extensive API documentation from your codebase, covering endpoints, authentication, and error handling. Enhances developer onboarding and reduces the time spent on documentation maintenance by providing a clear and structured output.

Provides a comprehensive framework for making informed API design decisions, including REST, GraphQL, and tRPC considerations. By using it, developers can enhance their API's reliability and user experience, leading to more maintainable and secure applications.

Implements robust authentication workflows by providing OAuth and email/password sign-in capabilities. Developers benefit by streamlining user authentication processes, enhancing security features like two-factor authentication, and reducing the time spent on custom authentication logic.

Facilitates backend AI integration using Vercel AI SDK, handling structured input and output generation for diverse tasks. By installing this skill, developers can enhance their applications with powerful AI functionalities, streamline workflows, and reduce manual coding errors.

Facilitates the development of computer use agents through a structured Perception-Reasoning-Action loop. By automating screen analysis and action execution, it streamlines the task of building complex automation scripts and reduces the potential for human error.

This skill verifies whether the code implementation aligns with the specified documentation in blockchain protocols. By ensuring code compliance, developers can identify discrepancies early, reducing the risk of vulnerabilities and enhancing security in their projects.

Facilitates the creation of HTTP endpoints for handling webhooks and API integrations in Convex applications. By implementing this skill, developers can streamline communication between their apps and external services, making integrations easier and faster.

Facilitates seamless integration with OpenRouter's unified API for TypeScript applications, enabling easy interaction with over 300 AI models. Developers save time and reduce complexity by employing a type-safe and structured approach to AI interactions, ensuring fewer errors during the implementation of AI-driven solutions.

Facilitates the development of Mini Apps on the Telegram platform, enabling integration with various features like in-app payments and user authentication. Developers benefit from streamlined app creation, leveraging Telegram's existing user base for instant reach and engagement.

Enables semantic search and content extraction from various web pages based on user intent. Speeds up research and information retrieval by allowing users to automate the search process and get structured responses.

Facilitates the design and orchestration of AI agent teams with defined roles and tasks. Streamlines project management by enabling clear task delegation and improving collaboration among agents.

Converts PRDs into the `prd.json` format required for streamlined project management in Ralph. This enables teams to execute development workflows autonomously and efficiently, reducing the risk of miscommunication and errors in the implementation process.

Bundles prompts and selected files into a single request for models like GPT-5.2 Pro, enabling real repo context for accurate responses. By automating the integration of context with queries, it significantly reduces the time spent verifying code and enhances coding accuracy.

Handles headless web search and content extraction using Brave Search APIs, eliminating the need for a browser. This skill streamlines information retrieval by automating searches and content extraction, significantly improving efficiency.