Skill UI

Research recent discussions on any topic by pulling posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web. Includes source health checks to diagnose broken or missing data sources. Supports multi-platform social media analysis with citations.

This skill provides comprehensive management of the entire issue lifecycle within the Linear project management tool. Users can create new issues, update key metadata (priority, labels, due dates), and automate state transitions through defined workflows. It also supports building parent/sub-issue hierarchies, managing issue relations (blocks, duplicates), and adding comments, making it ideal for automating project tracking and workflow enforcement.

This skill integrates Continuous Integration/Continuous Deployment (CI/CD) pipelines with Linear issue tracking. It automatically detects deployment URLs (e.g., Vercel, Railway), adds detailed deployment comments to relevant Linear issues, and manages state transitions (e.g., moving an issue to 'Review' or 'Done') based on the deployment environment (staging or production). It ensures a seamless link between code commits, deployment status, and project management tickets.

This comprehensive guide demonstrates how to implement robust Role-Based Access Control (RBAC) for applications deeply integrated with Linear. It covers utilizing Linear's built-in roles, mapping application roles to specific OAuth scopes, implementing powerful permission guard middleware, and integrating advanced enterprise features like SAML SSO and SCIM provisioning, ensuring secure and scalable access management for large organizations.

This comprehensive guide provides an end-to-end walkthrough for integrating with the Lokalise platform. It demonstrates core localization tasks, including listing projects, creating new multilingual projects, adding translation keys, and updating translations for multiple languages using both the Node SDK and the CLI. Ideal for developers establishing robust internationalization (i18n) pipelines.

This guide demonstrates how to implement robust Role-Based Access Control (RBAC) for MaintainX integrations using TypeScript and Express. It defines multiple user roles (Admin, Manager, Technician, Viewer) with specific, granular permissions across various resources (work orders, assets, locations). The implementation utilizes permission middleware and scoped API keys to ensure that users can only perform actions designated by their assigned role, enforcing security and data integrity at the API level.

Automates the Claude code marketplace catalog by keeping marketplace.extended.json as the source-of-truth, syncing generated marketplace.json, validating schema, and handling featured or grouped plugin additions and updates whenever marketplace-related commands are mentioned.

A comprehensive workflow for advanced AI applications using Mistral AI. This guide covers generating text and code embeddings (1024 dimensions), implementing semantic search via cosine similarity, and building robust RAG pipelines. It also demonstrates advanced tool augmentation using function calling, allowing LLMs to interact with external APIs and databases.

Simulates a highly structured, sequential peer-review process using multiple specialized AI agents (e.g., Skeptic, Constraint Guardian, User Advocate). This skill is designed to rigorously stress-test a design, surface hidden assumptions, identify potential failure modes, and enforce non-functional constraints before implementation. It transforms initial concepts into robust, validated specifications by simulating formal critique and achieving consensus via a mandatory Decision Log.

This guide details advanced architectural patterns for building complex AI systems using multiple Language Model instances (agents). It addresses the single-agent context bottleneck by distributing work, enabling parallelism, and facilitating specialization across different subtasks. Key patterns include Supervisor/Orchestrator, Peer-to-Peer/Swarm, and Hierarchical designs, providing guidelines for context isolation and effective coordination protocols.

NVIDIA’s NeMo Guardrails adds runtime safety rails to LLM apps, covering jailbreak detection, hallucination and fact-checking, PII filtering, and toxicity checks via Colang 2.0 rules and integrations for production use on T4 GPUs.

This elite workflow simulates the comprehensive process of a Senior Software Engineer and Product Designer. It enforces a rigorous development pipeline: starting with planning, solid architecture, and TDD implementation, through clean code practices, and technical auditing. Crucially, it includes mandatory, pixel-perfect UX visual validation to ensure the output is flawless, consistent, and production-grade.