9 Free AI Skills That Feel Like Cheat Codes

9 Free AI Skills That Feel Like Cheat Codes

Introduction to Skills and Plugins in AI Tools

Overview of AI Tools

  • OpenAI's Codex and Cloud Code are widely used tools that facilitate collaboration and knowledge sharing among users.
  • Users create skills and plugins to enhance functionality, enabling innovative applications like knowledge graphs, real-time research, and animation creation.

Definition of Skills and Plugins

  • Skills are reusable instruction files (often prompts in a skill.md file) that provide consistent results when called upon by the model.
  • A plugin is a bundle that can include multiple skills, agents, hooks, commands, or configurations for easier installation.

Understanding the Functionality of Skills and Plugins

Key Characteristics

  • Skills offer specific instructions for the model's behavior while plugins provide a comprehensive package that enhances agent capabilities.
  • Both skills and plugins ensure repeatable behaviors in AI interactions by providing context each time they are invoked.

Highlighting G-Stack: A Comprehensive Tool

Introduction to G-Stack

  • G-Stack is introduced as a powerful tool developed by Gary Tan from Y Combinator; it acts as a virtual engineering team with various roles.

Features of G-Stack

  • It includes 23 specialists and eight power tools (slash commands), all available for free use.

Installation Process for G-Stack

Simple Installation Steps

  • Users can install G-Stack easily via GitHub by entering the repository URL into their prompt box within the respective application (e.g., Cloud Code or Codex).

Marketplace Availability

  • Some plugins may be directly added through an integrated marketplace without manual installation.

Demonstrating G-Stack Capabilities

Practical Application Example

  • The speaker demonstrates creating a new session in Codex using the command /G stack office hours to build a web app idea generator based on YouTube channel analysis.

Review Process Using G-stack

  • The speaker utilizes another skill from G-stack to review code changes for bugs or security issues while tracking social media stats across platforms.

Stress Testing Ideas with AI Assistance

Idea Validation Process

  • The stress test process involves answering numerous questions posed by the AI to validate project ideas effectively before development begins.

Timeframe for Stress Testing

  • The entire stress testing took about 20 minutes, showcasing how interactive engagement with AI can refine project concepts.

Exploring AI Skills: Stop Slop and Graphify

Introduction to AI Skills

  • The speaker discusses the utility of AI in validating ideas through a markdown file, emphasizing that this is just the beginning of what AI can do.

Stop Slop Skill

  • Purpose: This skill is designed to remove "AI tells" from writing, making it more human-like. Installation is straightforward via GitHub.
  • After installation, the speaker demonstrates its use by improving a paragraph generated by ChatGPT, showcasing how it enhances text quality.
  • The skill is particularly useful for writers (e.g., scriptwriters or bloggers) who want to eliminate detectable AI patterns in their work.

Graphify Skill

  • Overview: Graphify transforms codebases, documents, and notes into a queryable knowledge graph, allowing users to visualize relationships without redundancy. It serves as an efficient memory layer that reduces token costs during queries.
  • The speaker highlights its application in creating a "second brain," mapping out interconnected information effectively. This aids in organizing thoughts and resources visually.

Creating a Knowledge Graph

  • By using the command /graphify, users can generate visual representations of their projects within seconds, illustrating connections between various saved items like strategies and workflows.
  • The resulting graph displays nodes representing different themes (e.g., YouTube creator strategies), allowing users to explore related concepts easily. Users can zoom in on specific bundles for detailed insights.

Querying the Graph

  • Users can ask questions about recurring themes or video ideas based on their notes without querying all data files directly; this method saves time and resources by leveraging the graph's structure instead of raw data searches. Examples include identifying themes like "creator strategy under platform pressure."

Understand Anything Skill

  • Functionality: This skill creates interactive knowledge graphs from codebases for onboarding new team members or exploring complex systems visually rather than through traditional documentation methods. It emphasizes understanding over mere impressiveness with visuals.
  • An example shows how it maps out everything happening within a website's codebase, providing clarity on API routes and integrations while facilitating deeper exploration into specific components like services and workflows after processing time of around nine minutes.

Understanding the Workflow and Skills in AI Development

Overview of Current Tools and Workflow

  • The discussion begins with an overview of various tools, including news feeds, server integration, and mock tools that were initially demos but may no longer be necessary.
  • A visual representation of how different components like index, pipeline, fire crawl, and anthropic connect is presented. Google Sheets and Beehive are also integrated into API routes for better clarity.
  • The speaker acknowledges their coding skills as "vibe coding," suggesting a less organized workflow compared to what a more experienced developer might create.

Utilizing Codex for Developer Guidance

  • Codex is highlighted as a tool that can provide guidance on where new developers should start by analyzing the workflow rather than sifting through all code.
  • A knowledge map is mentioned that visually represents how various content pieces and journal entries interconnect within the speaker's second brain concept.

Exploring Connections Between Content

  • By clicking on specific entries (e.g., Riley Brown videos), users can see how these resources link to one another, enhancing understanding of interconnected information.
  • While this visualization may not be as useful for extensive codebases, it offers an engaging way to explore relationships between different pieces of content.

Subscription to Future Tools Newsletter

  • The speaker encourages viewers to subscribe to the Future Tools newsletter for weekly updates on AI news and tools.
  • Subscribers receive additional resources such as an AI income database containing various monetization strategies using AI tools.

Researching Internet Sentiment with Last 30 Days Skill

Introduction to Last 30 Days Skill

  • This skill helps researchers gauge current internet sentiment about specific topics by aggregating data from platforms like Reddit, YouTube, Hacker News, GitHub, etc.

Practical Application of the Skill

  • Users can initiate a chat command (e.g., /last 30 days) in Codex to retrieve insights about trending topics or sentiments.
  • An example query regarding "Claude Fable" reveals excitement among developers due to perceived advancements while highlighting confusion around access issues.

Summary Insights from Data Aggregation

  • Key patterns identified include excitement over work completion capabilities and concerns regarding safety classifiers being viewed as technical mysteries.

Generating Shareable HTML Reports

  • The skill allows users to generate shareable HTML files summarizing research findings easily. Instructions are provided within the skill for exporting data effectively.

Design Skills: Enhancing Front-End Development

Overview of Design Skills Available

  • Two notable design skills are introduced: front-end design skill by Anthropic and taste skill by Leon XLNX. Both aim at improving aesthetics in web/app development.

Testing Design Capabilities

  • Each design skill was tested against redesigning the Future Tools homepage. Initial designs were created without any specialized skills leading to basic outcomes.

Results from Different Design Approaches:

  1. Basic Model Design:
  • Resulted in a similar layout but with minor improvements like repositioning call-to-action elements for better visibility.
  1. Front-End Design Skill:
  • Produced a more colorful layout with improved aesthetics compared to the basic model output.
  1. Taste Skill:
  • Offered a cleaner look but deviated significantly from existing functionality by removing essential tool listings.
  1. Combined Approach:
  • Using both design skills together yielded an interesting result; however, some functional aspects were compromised due to aesthetic choices made during redesign efforts.

Exploring AI Design Skills and Animation Tools

Overview of AI Design Examples

  • The speaker presents their original design, describing it as decent but subjective in aesthetic appeal.
  • A comparison is made between a plain, Craigslist-like design and various AI-generated designs using different skills.
  • The least favorite design is noted when combining both anthropic front-end design and taste skills.

Utilizing AI Skills for Enhanced Designs

  • Two additional skills are introduced: Remotion and Hyperframes, which generate animations through coding prompts.
  • Remotion creates After Effects-style videos while Hyperframes is developed by HeyGen; both require specific prompts to generate content.

Testing Animation Capabilities

  • The speaker tests Remotion with a prompt to create an animation resembling a text conversation on an iPhone, resulting in an 11-second MP4 video.
  • A similar prompt was given to Codex using the Hyperframes skill, yielding a more visually appealing iPhone animation.

Logo Reveal Animations

  • An animated logo reveal was tested using both skills; the prompt involved creating an explosion that forms the Future Tools logo.
  • Remotion's version successfully created the desired effect, while Hyperframes produced a slightly preferred result due to its execution.

Animated Stock Chart Example

  • An animated stock chart showing Nvidia's growth over five years was generated using both tools; Remotion provided basic visuals while Hyperframes offered enhanced animations.

Conclusion and Call to Action

  • The speaker encourages viewers to explore these AI skills and plugins for coding projects, highlighting their increasing availability.
  • Regular updates on AI news are promised every Friday, inviting viewers to subscribe for ongoing insights into the world of AI.
Video description

9 free skills and plug-ins that make Claude Code, Codex, and other AI coding agents dramatically more useful, and yes, all of them are free. Skills and plug-ins are reusable instruction files that give your AI agent a repeatable behavior instead of starting from scratch every time. In this video I break down 9 of my favorites, install them live, and put several of them head to head so you can see exactly what changes. I cover GStack (turns Claude Code into a full virtual engineering team), Stop Slop (strips AI tells out of your writing), Graphify (turns any codebase or knowledge base into a queryable graph your agent can use as memory), Understand Anything (visual onboarding maps for any codebase), Last 30 Days (real time sentiment research across Reddit, X, YouTube, and more), Anthropic's Front End Design skill and the Taste skill (head to head design tests), and ReMotion vs HyperFrames (AI generated animations from a single prompt). Every skill works across Claude Code, Codex, Cursor, OpenClaw, Hermes, VS Code, and GitHub Copilot. Links to every single one below. Discover More: 🛠️ Explore AI Tools & News: https://futuretools.io/ 📰 Weekly Newsletter: https://futuretools.io/newsletter Socials: ❌ Twiter/X: https://x.com/mreflow 🖼️ Instagram: https://instagram.com/mr.eflow 🧵 Threads: https://www.threads.net/@mr.eflow 🟦 LinkedIn: https://www.linkedin.com/in/matt-wolfe-30841712/ 👍 Facebook: https://www.facebook.com/mattrwolfe Skills and plug-ins mentioned: GStack: https://github.com/garrytan/gstack Stop Slop: https://github.com/hardikpandya/stop-slop Graphify: https://github.com/safishamsi/graphify Understand Anything: https://github.com/Egonex-AI/Understand-Anything Last 30 Days: https://github.com/mvanhorn/last30days-skill Front End Design (Anthropic): https://www.skills.sh/anthropics/skills/frontend-design Taste Skill: https://github.com/Leonxlnx/taste-skill ReMotion: https://github.com/remotion-dev/remotion HyperFrames: https://github.com/heygen-com/hyperframes If you want more breakdowns like this, let me know in the comments and I'll keep them coming. Let’s work together! - Brand, sponsorship & business inquiries: mattwolfe@smoothmedia.co Timestamps: 00:00 Why Skills Matter 01:05 Skills vs Plugins Explained 02:45 GStack: Your AI Engineering Team 08:14 Stop Slop: Cleaner AI Writing 09:25 Graphify: Knowledge Graphs as Memory 14:14 Understand Anything: Visual Code Maps 17:55 Newsletter Quick Plug 18:39 Last 30 Days: Real Time Sentiment Research 20:55 Front End Design vs. Taste Skill 24:46 Animation Showdown: ReMotion vs. HyperFrames 28:07 Final Thoughts and Outro #ClaudeCode #AIAgents #FreeAITools