Skill UI

This guide provides production-ready patterns for integrating the Mistral AI SDK in both TypeScript and Python. It covers essential best practices such as singleton client management, handling structured JSON output, implementing streaming responses, concurrent asynchronous processing, and robust error handling with exponential backoff. Use this when establishing team coding standards or refactoring Mistral API usage.

This expert specializes in secure mobile development practices, covering areas like input validation, WebView security, secure data storage (KeyStore/Keychain), and advanced network security (Certificate Pinning). Use this skill to write secure, resilient mobile code for both iOS and Android, mitigating platform-specific vulnerabilities and ensuring sensitive data protection.

This guide details advanced methods for merging multiple specialized LLMs (e.g., combining math, coding, and chat capabilities) without the need for expensive retraining. Learn various techniques such as Linear Merging, SLERP, Task Arithmetic, TIES-Merging, and DARE. Use mergekit to create high-performing, specialized model variants quickly, significantly improving performance and reducing computational costs.

A comprehensive guide for developing custom external web service APIs for the Moodle Learning Management System (LMS). It covers Moodle's required API framework, coding standards, and the essential three-method pattern (execute_parameters, execute, execute_returns) necessary for integrating custom functionality, such as course management, quiz operations, and reporting, with external applications.

Guides developers through OAuth2 Flow Helper tasks within Security Fundamentals by providing best-practice instructions, generating production-ready code/configs, and validating outputs for authentication, validation, and secure coding.

A comprehensive guide to managing and reducing costs associated with Obsidian's paid services (Sync, Publish) and external API calls from community plugins. Learn how to audit vault size, implement secure exclusion patterns for sync, and utilize coding techniques like caching and rate limiting to control usage fees from external services (e.g., AI).

This guide provides essential security protocols and coding best practices for integrating with OpenEvidence, a platform processing Protected Health Information (PHI). It covers mandatory topics such as HIPAA compliance, API key management, webhook signature verification, input validation, and data redaction, ensuring all interactions are secure and audit-compliant.

Guides users through password hash generator tasks within the Security Fundamentals stack, outlining best practices, secure coding patterns, and validation checks tailored for authentication workflows.

This skill provides production-ready patterns for integrating with the Perplexity Sonar API in both TypeScript and Python. It covers best practices for creating robust wrappers around the standard OpenAI client, including dedicated handling for citations, search results, and related questions. It also includes essential utilities like implementing exponential backoff for reliable retries. Use this when setting up complex search-augmented generation workflows or standardizing team coding practices around Perplexity usage.

This skill provides persistent, file-based planning for complex AI coding agents. It utilizes dedicated markdown files (task_plan.md, findings.md, progress.md) stored in your project directory to act as long-term "working memory on disk." This ensures that your work, progress, and research findings survive context loss or session resets, making it ideal for large, multi-step projects, deep research, or complex development tasks.

Automates Postgrid Verify workflows through Composio’s toolkit over Rube MCP, guiding you to discover tools, confirm active connections, and execute schema-compliant calls without hardcoding slugs.

A comprehensive collection of battle-tested, structured prompts designed to elevate interactions with Large Language Models (LLMs). Covers advanced use cases including expert coding reviews, system architecture design, performance analysis, technical writing, and creative brainstorming, ensuring high-quality, actionable AI output.