KS
Killer-Skills

lfg — Categories.community

v1.0.0
GitHub

About this Skill

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

ai mcp react shadcn-ui slate typescript
udecode udecode
[16.0k]
[953]
Updated: 2/28/2026

↓ Quality Score

Top 5%
31
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add udecode/plate

Agent Capability Analysis

The lfg MCP Server by udecode is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for ai, mcp, react.

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 MCP Server

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
Project
SKILL.md
715 B
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8
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.

  1. 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.
  2. /workflows:plan $ARGUMENTS
  3. /compound-engineering:deepen-plan
  4. /workflows:work
  5. /workflows:review
  6. /compound-engineering:resolve_todo_parallel
  7. /compound-engineering:test-browser
  8. /compound-engineering:feature-video
  9. Output <promise>DONE</promise> when video is in PR

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

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