Skill UI

This guide provides a comprehensive workflow for configuring and managing Salesforce integrations across multiple environments, including Development, various Sandboxes (QA, Staging), and Production. It covers best practices for environment-specific credential handling, utilizing secrets managers (Vault, AWS/GCP), and establishing robust CI/CD deployment promotion flows using Salesforce CLI and code examples.

A comprehensive go-live checklist for deploying SalesLoft API integrations. It covers essential operational aspects including robust authentication, detailed error handling (401, 429, 5xx), rate limit management, health monitoring setup, data integrity checks (idempotency), and mandatory rollback procedures to ensure reliable production operation.

This skill provides a robust, schema-driven solution for managing and enforcing permissions in administrative user interfaces. It allows developers to define complex permission structures (the domain schema) and automatically generates associated UI forms, injectable permission checks, and component props. Use it to add granular permission controls to any admin section, supporting multi-entity, complex access scopes (e.g., full/own), and various operational actions.

This framework enforces high output quality, intellectual honesty, and continuous improvement across all AppSec agents. It mandates structured processes, including self-critique loops, anti-rationalization guards, and self-reflection quality gates (≥8 scoring). Applicable during code review, SAST, SCA, and threat modeling, it ensures rigorous and verifiable security analysis.

An advanced application framework for Go, combining a reflection-based Dependency Injection (DI) container with robust lifecycle management. It provides features like `fx.Module` for modular composition, signal-aware run loops (handling SIGINT/SIGTERM), and structured hooks (OnStart/OnStop). Ideal for building long-running services, such as daemons, HTTP servers, or workers, ensuring graceful startup and shutdown.

This skill generates comprehensive, single-page engineering runbooks. It structures critical operational information, including service overviews, alert response tables, common deployment procedures, on-call rotations, and incident response checklists. It is essential for DevOps, SRE, and engineering teams creating standardized operational documentation (Ops Docs).

The Desktop Commander MCP grants agents deep reach across the user's entire operating environment, extending far beyond the typical IDE sandbox. Key capabilities include maintaining persistent shell sessions, managing long-running background processes, accessing arbitrary filesystems, and natively handling structured data formats (Excel, PDF, DOCX). It also enables remote operations via SSH and large-scale content search, making it ideal for complex, multi-turn development, DevOps, and data analysis workflows.

This tool is designed to validate the syntax, completeness, and correctness of network configuration files. It helps ensure that network devices are configured according to established standards and best practices, preventing deployment errors and ensuring reliable network operation. Ideal for network engineers and DevOps teams.

Diagnoses full-stack failure modes in agent and LLM applications, including wrapper regressions, memory contamination, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings and code-first fixes for production agent systems.

A comprehensive guide on embedding before-and-after screenshots directly into pull request descriptions. This skill helps reviewers visualize UI changes, layout adjustments, and data visualizations instantly, without needing to check out the branch. Includes best practices for image sizing, structured Markdown patterns, and specific API/upload guidance for Azure DevOps and GitHub.

This skill guides the creation and maintenance of a `.geminiignore` file. By systematically filtering out machine-generated noise—such as build artifacts, dependency lock files, logs, and caches—it significantly optimizes the AI agent's context window. This process improves processing speed and, critically, reduces token consumption costs (FinOps).

A structured playbook for improving the time and space complexity (Big-O) of existing, slow code. This skill guides developers through systematic refactoring, focusing on identifying bottlenecks like nested loops or N+1 queries. It emphasizes applying transformations one at a time, maintaining test coverage, and measuring performance gains to ensure correct and efficient code.