Skill UI

A comprehensive diagnostic toolkit designed for advanced troubleshooting of Lindy AI agents. This bundle systematically collects environment information (OS, Python, Node.js), tests API connectivity for webhooks and major integrations (Slack, Notion, Gmail), reviews task history, and guides the user in generating a full, structured support ticket for technical support.

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.

A comprehensive workflow tool for managing the entire localization process using Lokalise. It handles downloading translated files (JSON, XLIFF, PO), reviewing translation status, updating keys, and integrating the output directly into development applications. Ideal for CI/CD pipelines and developers needing to sync localized content efficiently.

This skill provides a comprehensive guide for integrating Lokalise into CI/CD pipelines. It outlines how to automate the download of the latest, reviewed translations during the build stage, ensuring that production environments always ship the most current localized content. Ideal for setting up deployment workflows on platforms like Vercel, Netlify, and GitHub Actions.

This skill guides users on configuring advanced access controls within Lokalise Enterprise. It details how to implement fine-grained role-based access control (RBAC), manage complex permissions (Admin, Reviewer, Translator) using API calls, enforce language-level scoping, and handle team-level user assignments. Furthermore, it provides instructions for integrating Single Sign-On (SSO) and creating contributor groups for scalable enterprise management.

Enables Claude to orchestrate Sugar's autonomous development workflows by creating tasks, checking system status, reviewing pending work, and triggering autonomous execution via recognized commands.

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.

Automates Netlify site deployments by verifying CLI auth, detecting project config, linking or creating sites, installing dependencies, and running preview or production deploys with clear reporting of URLs and logs.

Guides you through diagnosing Next.js getServerSideProps, getStaticProps, and API route failures by checking terminal logs, adding explicit try-catch handling, and reviewing hosting logs or common causes like env vars, DB, or serialization issues.

This guide provides the best-practice reference architecture for developing complex Obsidian plugins. It details a highly modular project structure, enforcing separation of concerns by implementing dedicated layers for commands, views, and services (e.g., vault operations). Use this when designing a new plugin, reviewing existing project structure, or establishing standardized development practices for maintainable and scalable Obsidian extensions.

Operates as an end-to-end GitHub repository steward, triaging issues, reviewing PRs, analyzing contributor activity, and generating maintenance guidance so the human can simply ask “what’s next” while the agent keeps UX, docs, and backlog healthy.

A comprehensive workflow for systematically reviewing medical evidence. It allows users to search databases for clinical studies, build curated citation collections, grade evidence using established frameworks like GRADE, and generate professionally formatted, structured reports in academic citation styles (e.g., AMA). Ideal for conducting literature reviews and supporting clinical research. This tool helps transform raw medical data into actionable, structured knowledge.