Skill UI

This skill helps developers build, validate, and troubleshoot deep links for major coding environments like VS Code, Cursor, and Codex. It is essential when creating clickable, actionable links (especially in chat platforms like Slack) that direct users to specific files, threads, or settings within an application.

Provides a comprehensive, step-by-step workflow for developers to integrate new Azure Backup commands into the Azure Backup MCP toolset. It covers the entire development lifecycle, including option definition, service implementation, command logic, command registration, input validation, writing unit tests, and executing live/recorded tests, ensuring high quality and adherence to best practices before PR submission.

A powerful CLI tool designed for deep web interaction and data scraping. bb-browser simulates genuine user behavior within a real browser environment, allowing access to both public and private enterprise systems, even requiring active user login. Key features include a Site System to turn complex websites into simple command-line APIs, advanced network request handling (with session state), form automation, and element interaction, making it ideal for enterprise data gathering and workflow automation.

This tool empowers users to query, filter, and aggregate logs from Datadog directly from the command line using the Composio CLI. It bypasses the graphical UI, providing structured JSON output for complex analysis, cross-service correlation, and automated reporting. Ideal for deep dive investigations, tracking latency regressions, or building scheduled operational digests.

This guide details techniques for pre-caching critical assets in Flutter and Flutter Web, including Google Fonts, local images, and network resources. By proactively loading required data and assets (e.g., using `precacheImage` or `GoogleFonts.pendingFonts`), developers can prevent common performance issues like jank, loading flashes, and delayed rendering, ensuring a smooth and fast initial user experience.

This skill provides comprehensive operational capabilities for managing FrontendExtension resources in a Kubernetes cluster. It covers the entire lifecycle, including resource creation, package generation, artifact inspection, publishing, unpublishing, deletion, and deep debugging of package and publish controller behaviors. Use it for troubleshooting FE status, managing deployment pipelines, or interacting with the FE API.

This skill provides a direct, fast shell invocation to capture the current git diff (staged, working-tree, or specific file list) as raw text. It is designed to replace slower LLM agent steps that merely execute 'git diff' commands, significantly speeding up CI/CD workflows and meta-steps that require repository state analysis.

A comprehensive guide to using the GitHub CLI (`gh`) for programmatic interaction with repositories. This tool allows users to list, manage, and review Pull Requests (PRs), create and triage issues, check CI/workflow status, and execute advanced API queries directly from the terminal, making it essential for scripting and automated DevOps workflows.

A lightweight tool designed to fetch data from a single URL via HTTP/HTTPS using various methods (GET, POST, PUT, DELETE). It serves as a fast, direct shell wrapper, ideal for replacing complex agent steps that only require simple data retrieval. Supports configurable timeouts and response body capping, making it perfect for quick data fetching in meta-skill workflows.

This CLI tool automates the entire issue triage lifecycle for Linear and Jira. Users can pull backlogs, cluster duplicates, apply labels, reassign owners, and post detailed summaries—all directly from the shell. It is ideal for weekly backlog cleanup, post-release bug sweeps, and synchronizing data between multiple tools (e.g., Sentry to Linear).

This skill automates the complex compilation process required for LaTeX documents, specifically implementing the sequence: xelatex -> bibtex -> xelatex -> xelatex. It takes pre-assembled content (such as abstracts and body text) and compiles them into a cohesive, structured academic paper. Ideal for the final steps of scientific and technical writing.

This meta-skill automatically inspects open GitHub Pull Requests, failing CI runs, and new issues. It utilizes the GitHub API to gather critical updates and summarizes the findings into three actionable buckets (To Review, Awaiting Me, CI Red). Finally, it persists follow-up tasks to long-term memory, helping developers efficiently prioritize their daily workflow.