lfg — shadcn-ui community, shadcn-ui, ide skills, typescript, wysiwyg, Claude Code, Cursor, Windsurf

Name: lfg
Availability: InStock
Author: udecode

v1.0.0

Ideal for Advanced Workflow Agents needing automated slash command execution and rich-text editing capabilities with AI, MCP, and shadcn/ui integration. Rich-text editor with AI, MCP, and shadcn/ui

# Core Topics

shadcn-ui typescript wysiwyg

udecode

[16.0k]

[953]

Updated: 2/28/2026

GitHub

Agent Capability Analysis

The lfg skill by udecode is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for shadcn-ui, typescript, wysiwyg.

Ideal Agent Persona

Ideal for Advanced Workflow Agents needing automated slash command execution and rich-text editing capabilities with AI, MCP, and shadcn/ui integration.

Core Value

Empowers agents to execute complex workflows using slash commands like `/workflows:plan`, `/compound-engineering:deepen-plan`, and `/workflows:review`, while leveraging rich-text editing and AI-driven content analysis, supporting protocols like MCP and UI libraries such as shadcn/ui.

↓ Capabilities Granted for lfg

Automating workflow planning with `/workflows:plan`

Deepening workflow plans using `/compound-engineering:deepen-plan`

Resolving TODO items with `/compound-engineering:resolve_todo`

! Prerequisites & Limits

Requires availability of specific skills like `ralph-wiggum` for optional loop completion
Dependent on successful execution of preceding slash commands
Limited to workflows compatible with `/workflows:plan`, `/compound-engineering:deepen-plan`, and related commands

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

lfg

Install lfg, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md

Readonly

Run these slash commands in order. Do not do anything else. Do not stop between steps — complete every step through to the end.

Optional: If the ralph-wiggum skill is available, run /ralph-wiggum:ralph-loop "finish all slash commands" --completion-promise "DONE". If not available or it fails, skip and continue to step 2 immediately.
/workflows:plan $ARGUMENTS
/compound-engineering:deepen-plan
/workflows:work
/workflows:review
/compound-engineering:resolve_todo_parallel
/compound-engineering:test-browser
/compound-engineering:feature-video
Output <promise>DONE</promise> when video is in PR

Start with step 2 now (or step 1 if ralph-wiggum is available).

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is lfg?

Ideal for Advanced Workflow Agents needing automated slash command execution and rich-text editing capabilities with AI, MCP, and shadcn/ui integration. Rich-text editor with AI, MCP, and shadcn/ui

How do I install lfg?

Run the command: npx killer-skills add udecode/plate/lfg. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for lfg?

Key use cases include: Automating workflow planning with `/workflows:plan`, Deepening workflow plans using `/compound-engineering:deepen-plan`, Resolving TODO items with `/compound-engineering:resolve_todo`.

Which IDEs are compatible with lfg?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for lfg?

Requires availability of specific skills like `ralph-wiggum` for optional loop completion. Dependent on successful execution of preceding slash commands. Limited to workflows compatible with `/workflows:plan`, `/compound-engineering:deepen-plan`, and related commands.

↓ How To Install

1. Open your terminal

Open the terminal or command line in your project directory.
2. Run the install command

Run: npx killer-skills add udecode/plate/lfg. The CLI will automatically detect your IDE or AI agent and configure the skill.
3. Start using the skill

The skill is now active. Your AI agent can use lfg immediately in the current project.

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