9 Free AI Skills That Feel Like Cheat Codes

You are helping me turn one specific YouTube video into real, durable learning.

Source video:
- Title: 9 Free AI Skills That Feel Like Cheat Codes
- URL: https://www.youtube.com/watch?v=STH929HARLo
- Topic: Creative Automation
- My current learning frame: Use 9 Free AI Skills That Feel Like Cheat Codes as a transcript-backed creative automation walkthrough: at 0:42, it frames completely free to install in CodeX or Claude Code or whatever your harness of choice is.
- Why this matters: New playlist item from Matt Wolfe; queued for transcript-backed review, topic mapping, and a practical learning artifact.

Transcript anchors from this exact video:
- 0:42 / Evidence 1: "completely free to install in CodeX or Claude Code or whatever your harness of choice is. These skills and plugins have become pretty universal, so they'll work in like any of the IDEs or agent harnesses that you..."
- 3:08 / Evidence 2: "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..."
- 4:44 / Evidence 3: "or plugin that I install. But, just know that all of the plugins and skills that I show have been shown to work in Codex, Claude Code, Open Claw, Hermes, Visual Studio Code, GitHub Copilot. They work across..."
- 14:57 / Evidence 4: "going on inside of the code, but it does still create some pretty cool visuals. So for example, if I want to have Understand Anything map out everything that's going on inside of the Future Tools website, I..."
- 16:47 / Evidence 5: "this?" And it's actually going to look at the workflow, again, as sort of like a memory to help answer that question as opposed to digging through all of the entire code again. And it's going to give..."
- 24:28 / Evidence 6: "But those are two skills that you can use if the design you're trying to get for your site or your app aren't quite coming out the way you want them to by just using the model alone."
- 28:05 / Evidence 7: "one is the preferable version here. And that's what I got for you today. Some of the coolest skills and plugins that you can plug into Claude Co-work, OpenAI's Codex, or any agent or harness that you're using..."

Your task:
1. Use the transcript anchors above as the primary source packet. If you add outside context, label it clearly as outside context and keep it secondary.
2. Create a source-check table with columns: timestamp, claim, what the demo proves, confidence, and what still needs verification.
3. Extract the actual teachable claims from the video. Do not invent claims that are not supported by the title, lesson frame, or transcript anchors.
4. Build a reusable learning artifact: A creative workflow board with critique criteria and review checkpoints.
5. Include:
   - a plain-English definition of the core idea
   - a diagram or structured model using this sequence: Brief -> Source -> Generation -> Selection -> Edit -> Taste Review
   - 3 concrete examples that apply the video idea to real agentic work
   - 2 failure modes the video helps prevent
   - a checklist I can use the next time I run Codex or Claude
   - one practical exercise with a clear done signal
6. Add a "learning transfer" section: what changes in my workflow tomorrow if I actually learned this?
7. Add a "source check" section that cites which transcript anchor supports each major takeaway.

Quality bar:
- Make this specific to "9 Free AI Skills That Feel Like Cheat Codes", not a generic Creative Automation essay.
- Prefer operational examples, failure modes, and reusable artifacts over broad definitions.
- Call out uncertainty instead of smoothing over weak evidence.
- If evidence is weak, say what transcript segment or timestamp needs review instead of guessing.
- Finish with a concise artifact I could paste into my learning app.