Killer-Skills Review
Decision support comes first. Repository text comes second.
This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.
Perfect for Advanced AI Agents needing comprehensive content analysis and workflow automation capabilities. Full autonomous engineering workflow
Core Value
Empowers agents to execute complex workflows using rich-text editors, MCP, and shadcn/ui, while leveraging slash commands for seamless automation, including deepening plans, working, reviewing, and resolving TODOs with protocols like `/workflows:plan` and `/compound-engineering:deepen-plan`.
Ideal Agent Persona
Perfect for Advanced AI Agents needing comprehensive content analysis and workflow automation capabilities.
↓ Capabilities Granted for lfg
! Prerequisites & Limits
- Requires availability of specific skills like `ralph-wiggum` for optional loop functionality
- Dependent on successful execution of slash commands in sequence
Why this page is reference-only
- - The underlying skill quality score is below the review floor.
Source Boundary
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Reviewed In Curated Collections
This section shows how Killer-Skills has already collected, reviewed, and maintained this skill inside first-party curated paths. For operators and crawlers alike, this is a stronger signal than treating the upstream README as the primary story.
Community Skills to Install First
Reviewed on 2026-04-17 against community workflow fit, installation clarity, operator handoff, and builder usefulness. This page is now positioned as an install-first community entry point instead of a broad community roundup.
We prioritize this page because community-intent users usually need a shortlist they can install, validate, and carry into real builder loops quickly.
React Workflow Tools to Install First
Reviewed on 2026-04-17 against React workflow fit, installation clarity, operator handoff, and frontend delivery usefulness. This page is now positioned as an install-first React entry point instead of a broad UI tooling roundup.
We prioritize this page because React-intent users usually need a shortlist they can install, validate, and carry into real UI delivery loops quickly.
Decide The Next Action Before You Keep Reading Repository Material
Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.
Start With Installation And Validation
If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Cross-Check Against Trusted Picks
If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Move To Workflow Collections For Team Rollout
When the goal shifts from a single skill to team handoff, approvals, and repeatable execution, move into workflow collections.
Browser Sandbox Environment
⚡️ Ready to unleash?
Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.
FAQ & Installation Steps
These questions and steps mirror the structured data on this page for better search understanding.
? Frequently Asked Questions
What is lfg?
Perfect for Advanced AI Agents needing comprehensive content analysis and workflow automation capabilities. Full autonomous engineering workflow
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 content analysis workflows, Generating and reviewing plans using `/workflows:plan` and `/workflows:review`, Resolving TODOs with `/compound-engineering:resolve_todo` for efficient task management.
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 functionality. Dependent on successful execution of slash commands in sequence.
↓ How To Install
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1. Open your terminal
Open the terminal or command line in your project directory.
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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.
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3. Start using the skill
The skill is now active. Your AI agent can use lfg immediately in the current project.
! Reference-Only Mode
This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
lfg
Install lfg, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.
