9 Free AI Skills That Feel Like Cheat Codes

Tech9 Free AI Skills That Feel Like Cheat Codes

TL;DR

Discover nine free AI skills and plugins that enhance coding agents and AI tools like Claude Code and Codex, enabling developers to automate code review, design, animation generation, research, and more without additional cost.

Key Takeaways

1Skills are reusable instruction files (prompts) that give AI agents consistent, repeatable behaviors; plugins bundle skills, agents, and other tools for easier installation
2G Stack provides 23 AI specialists (CEO, engineer, designer, QA lead) and 8 power tools to pressure-test ideas and review code automatically
3Graphify and Understand Anything transform codebases and notes into queryable knowledge graphs, serving as memory layers that reduce token costs and improve onboarding
4Stop Slop removes AI writing tells and generic language from generated content, improving quality of scripts, blogs, and other written output
5Last 30 Days aggregates real-time sentiment and discussion from Reddit, X, YouTube, Hacker News, and GitHub to provide grounded research summaries
6Front-End Design and Taste skills enhance UI/UX generation by reducing generic design and improving aesthetic appeal of websites and applications
7Remotion and Hyperframes generate animations, logo reveals, charts, and other visual effects directly from prompts, usable in videos and applications

Notable Quotes

“Skills and plugins don't just give your agent more context, they kind of give it like a repeatable behavior. Because every time you call on one of these skills or plugins, it knows how to act every single time.”
— Host

“It turns Claude code, but it also works in all the other things as well, into a virtual engineering team, a CEO who rethinks the product, an engineering manager who locks architecture, a designer who catches AI slop, a reviewer who finds production bugs, a QA lead who opens a real browser, a security offer who runs OWASP and stride audits.”
— Gary Tan (describing G Stack)

“Graphs that teach are greater than graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about.”
— Understand Anything (skill description)

Chapters

1. What Are Skills and Plugins?

Skills are reusable instruction files (detailed prompts in a skill.md file) that provide consistent behavior when called. Plugins are bundles that package skills, agents, hooks, MCP servers, commands, and config for easier installation. Both add repeatable behaviors and context to AI agents.

2. G Stack: Virtual Engineering Team

Created by Y Combinator CEO Gary Tan, G Stack bundles 23 AI specialists (CEO, engineer manager, designer, QA lead, security officer, release engineer) and 8 power tools. Installation is simple: paste the GitHub URL into the agent and ask it to install. Useful for code review, architecture planning, and idea validation.

3. Stop Slop: Removing AI Tells

A simple skill that removes AI-specific language patterns and generic phrasings from generated text. Ideal for improving quality of AI-written scripts, blog posts, and other content to make them sound more human and natural.

4. Graphify: Knowledge Graph Creation

Converts codebases, docs, schemas, notes, and media into queryable knowledge graphs with visual node representations. Serves as a memory layer for agents, reducing token costs by enabling graph queries instead of full file searches. Useful for second-brain systems and codebase exploration.

5. Understand Anything: Interactive Code Maps

Creates interactive, flowchart-style knowledge graphs for code exploration and onboarding. Shows how different code components, APIs, services, and integrations connect together. Helps new developers understand architecture without reading entire codebases.

6. Last 30 Days: Real-Time Research Sentiment

Aggregates discussion and sentiment from Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the broader web. Synthesizes grounded summaries of what people are excited about, confused by, and speculating on. Can export findings as shareable HTML files.

7. Front-End Design & Taste Skills

Two design-focused skills (Anthropic's Front-End Design and Leon XLNX's Taste skill) improve UI aesthetics by preventing generic design patterns. Can be used individually or combined to generate multiple design variations for websites and applications.

8. Remotion & Hyperframes: Animation Generation

Both skills generate After Effects-style animations directly from prompts, including logo reveals, text conversations, animated charts, particle effects, and stock price visualizations. Produces MP4 files ready for use in videos. Hyperframes generally produces more polished results than Remotion.

9. Installation & Cross-Platform Compatibility

All skills can be installed by pasting a GitHub URL into the agent and asking it to install. Most work across Claude Code, Codex, Cursor, Open Claw, Hermes, VS Code, and GitHub Copilot. Some skills are available in marketplace add-ons for easier discovery.

10. Future Tools Newsletter & Community

The creator promotes the Future Tools newsletter (futuretools.io/newsletter) with over 250,000 subscribers receiving two weekly emails about AI news and tools, plus bonuses like an AI income database with crowdsourced money-making strategies.

Key People & Entities

Gary Tan: CEO of Y Combinator; creator of G Stack
Leon XLNX: Creator of the Taste skill for AI front-end design improvement
Anthropic: Creator of the Front-End Design skill; makers of Claude
HeyGen: Creator of the Hyperframes animation skill
OpenAI: Creator of CodeX and GPT models

Glossary

Skill: A reusable instruction file, typically a detailed prompt in a skill.md file, that provides consistent AI behavior when invoked
Plugin: A bundled package containing skills, agents, hooks, MCP servers, commands, or configuration that can be installed as a single unit
MCP Server: Model Context Protocol server, a standardized tool for adding capabilities and context to AI agents
Knowledge Graph: A visual representation of interconnected nodes and relationships between data, documents, or code components
Token Cost: The computational expense (measured in tokens) required for an AI model to process information; reduced by using memory layers and graph queries
Agent Harness: A platform or application (Claude Code, Codex, Cursor, etc.) that hosts and runs AI agents with installed skills and plugins
OWASP: Open Web Application Security Project; a framework for identifying and fixing web application security vulnerabilities
Stride Audits: Security audit methodology covering Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege
Sentiment Analysis: The process of extracting and summarizing opinions, excitement levels, and confusion from online discussion
Second Brain: A personal knowledge management system (like Obsidian) where users save research, notes, journal entries, and media for future reference

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