salesforce-test-drive

Foundation layer for Salesforce platform development — 38 skills for environment validation, project scaffolding, scratch-org lifecycle, declarative metadata, Apex (author, run anonymous, test, debug), flow automation, SOQL, deploy/retrieve, manifest generation, security, reporting, and generated installed-versus-available capability discovery, plus org-context detection, a production deploy-safety gate, and a bundled Apex + SOQL language server (MCP).

38 skills · 14 commands · 1 agent · 4 MCP servers · hooks

Configure Salesforce Omni-Channel work routing: queues, presence statuses, agent capacity, Case and VoiceCall routing flows, skills-based and attribute routing, agent work sharing, classic Omni Supervisor surface setup, and read-only Omni Command Center readiness analysis.

24 skills

Build and validate Lightning Web Components (LWC): generate components with the PICKLES methodology and 165-point scoring, scaffold a fresh LWC from a Figma design or a PRD, wire-service and Jest test patterns, SLDS styling, WCAG/ARIA accessibility validation, and RTL/TypeScript migration. Use when creating, editing, or reviewing LWC components — touching lwc/**/*.js, .html, .css, or .js-meta.xml files, or asking about wire service, base components, SLDS, Jest LWC tests, or component accessibility. Also use when migrating legacy Aura components or Lightning Out apps to LWC.

14 skills · hooks

Build Salesforce React UI Bundle apps: scaffold a new React UI bundle SFDX starter project from a template, generate and edit pages, components, layout, styling, navigation, and branding with shadcn/ui and Tailwind CSS, configure ui-bundle metadata, host the app on a Digital Experience Site, and deploy it to an org. Use when creating or editing a React frontend under uiBundles/*/src for a Salesforce site — appLayout.tsx, routes.tsx, src/pages/, src/components/, or when starting, scaffolding, hosting, or deploying a React UI bundle app. Also scaffold, configure features for, host, and deploy Angular UI Bundle apps.

14 skills

Configure Service Cloud digital engagement channels: set up messaging and web chat channels, configure channel deployments, and connect an existing Agentforce channel binding. Use when setting up messaging, web chat, digital engagement deployments, or messaging-site integration.

13 skills

Author, discover, scaffold, deploy, test, secure, and optimize Agentforce .agent files

7 skills · 4 agents · hooks

Create production-ready Pendo in-app guides (walkthroughs, announcements, alerts, polls, promotions) as HTML/CSS/JS from a short intake conversation, using Pendo's guide components.

Create production-ready Pendo in-app guides (walkthroughs, announcements, alerts, polls, promotions) as HTML/CSS/JS from a short intake conversation, using Pendo's guide components.

2 skills · 1 MCP server

First-run onboarding tour — guided walkthrough of tonone's 23 agents, key skills, and worktree sessions. Two paths: expert (~90 sec) and newcomer (~8 min). Use when asked "how do I use tonone", "what can tonone do", "show me around", or "first steps".

1 skill

Use this agent when implementing AI/ML features, integrating language models, building recommendation systems, or adding intelligent automation to applications. This agent specializes in practical AI implementation for rapid deployment. Examples:\n\n<example>\nContext: Adding AI features to an app\nuser: "We need AI-powered content recommendations"\nassistant: "I'll implement a smart recommendation engine. Let me use the ai-engineer agent to build an ML pipeline that learns from user behavior."\n<commentary>\nRecommendation systems require careful ML implementation and continuous learning capabilities.\n</commentary>\n</example>\n\n<example>\nContext: Integrating language models\nuser: "Add an AI chatbot to help users navigate our app"\nassistant: "I'll integrate a conversational AI assistant. Let me use the ai-engineer agent to implement proper prompt engineering and response handling."\n<commentary>\nLLM integration requires expertise in prompt design, token management, and response streaming.\n</commentary>\n</example>\n\n<example>\nContext: Implementing computer vision features\nuser: "Users should be able to search products by taking a photo"\nassistant: "I'll implement visual search using computer vision. Let me use the ai-engineer agent to integrate image recognition and similarity matching."\n<commentary>\nComputer vision features require efficient processing and accurate model selection.\n</commentary>\n</example>

1 agent

Use this agent when implementing AI/ML features, integrating language models, building recommendation systems, or adding intelligent automation to applications. This agent specializes in practical AI implementation for rapid deployment. Examples:\n\n<example>\nContext: Adding AI features to an app\nuser: "We need AI-powered content recommendations"\nassistant: "I'll implement a smart recommendation engine. Let me use the ai-engineer agent to build an ML pipeline that learns from user behavior."\n<commentary>\nRecommendation systems require careful ML implementation and continuous learning capabilities.\n</commentary>\n</example>\n\n<example>\nContext: Integrating language models\nuser: "Add an AI chatbot to help users navigate our app"\nassistant: "I'll integrate a conversational AI assistant. Let me use the ai-engineer agent to implement proper prompt engineering and response handling."\n<commentary>\nLLM integration requires expertise in prompt design, token management, and response streaming.\n</commentary>\n</example>\n\n<example>\nContext: Implementing computer vision features\nuser: "Users should be able to search products by taking a photo"\nassistant: "I'll implement visual search using computer vision. Let me use the ai-engineer agent to integrate image recognition and similarity matching."\n<commentary>\nComputer vision features require efficient processing and accurate model selection.\n</commentary>\n</example>

1 agent

Claude Code guide — interactive onboarding walkthrough and Q&A on setup, best practices, automation, and effective workflows

7 skills · 3 agents · hooks