WEBVTT 00:00:00.000 --> 00:00:03.060 Have you ever been deep into a really technical 00:00:03.060 --> 00:00:05.240 chat with an AI? Maybe you've uploaded a whole 00:00:05.240 --> 00:00:07.799 bunch of documents and then just suddenly it 00:00:07.799 --> 00:00:10.179 completely forgets what you told it to do, like 00:00:10.179 --> 00:00:12.439 the core instructions. Oh yeah. You spend maybe 00:00:12.439 --> 00:00:14.580 the first hour giving it all this crucial context, 00:00:14.699 --> 00:00:16.839 uploading brand guides, explaining formatting, 00:00:16.940 --> 00:00:20.199 and then bam, mid -sentence, it just... loses 00:00:20.199 --> 00:00:22.620 the plot, starts acting like its default generic 00:00:22.620 --> 00:00:25.519 self again. Exactly. That's that moment the AI's 00:00:25.519 --> 00:00:28.000 short -term memory, its context window, just 00:00:28.000 --> 00:00:30.100 hits the wall. That critical instruction set 00:00:30.100 --> 00:00:33.439 pushed right off the edge. So today we're diving 00:00:33.439 --> 00:00:36.579 deep into, well, the solution that seems to fundamentally 00:00:36.579 --> 00:00:39.659 solve this. Think of them as portable, specialized 00:00:39.659 --> 00:00:43.240 AI memory sticks. Welcome to the deep dive. Yeah. 00:00:43.320 --> 00:00:45.700 Our topic is Anthropic's honestly game -changing 00:00:45.700 --> 00:00:48.219 feature, quad skills. We're looking at a guide 00:00:48.219 --> 00:00:50.670 that really us through using these tools like 00:00:50.670 --> 00:00:53.689 as you said a flash drive for ai knowledge reusable 00:00:53.689 --> 00:00:56.189 precise knowledge right so we're going to cover 00:00:56.189 --> 00:00:58.450 what these skills actually are why they feel 00:00:58.450 --> 00:01:01.549 like a missing link in ai automation and we'll 00:01:01.549 --> 00:01:03.710 get into the technical why like how they save 00:01:03.710 --> 00:01:06.310 that really valuable context space then we'll 00:01:06.310 --> 00:01:08.269 jump straight into the how -to and there's a 00:01:08.269 --> 00:01:10.930 neat ai cheat code for creating your own we need 00:01:10.930 --> 00:01:14.150 to talk about Plus three really high -impact 00:01:14.150 --> 00:01:17.469 examples you could probably use today. The mission 00:01:17.469 --> 00:01:20.269 here is to give you the structure, the clarity 00:01:20.269 --> 00:01:24.109 you need to stop dealing with those flaky, inconsistent 00:01:24.109 --> 00:01:27.650 AI outputs and start building a truly reliable 00:01:27.650 --> 00:01:30.769 digital workforce. Okay, let's unpack this. Skills 00:01:30.769 --> 00:01:33.790 seen designed to be that perfect middle ground 00:01:33.790 --> 00:01:35.939 solution. Because historically, if you needed 00:01:35.939 --> 00:01:38.040 specialized tasks done, you were kind of stuck 00:01:38.040 --> 00:01:40.120 between two extremes, right? Both pretty frustrating. 00:01:40.319 --> 00:01:42.700 That's right. Yeah. On one side, you had the 00:01:42.700 --> 00:01:45.640 giant messy prompt, like pasting 5 ,000 words 00:01:45.640 --> 00:01:48.140 manually every single time, which is just tedious 00:01:48.140 --> 00:01:50.579 and honestly super error prone. And the other 00:01:50.579 --> 00:01:53.780 extreme, scaling way, way up to these complex, 00:01:53.859 --> 00:01:56.659 almost industrial solutions like MCP servers. 00:01:57.049 --> 00:02:00.290 Right. Let's define that jargon quick. MCP servers, 00:02:00.769 --> 00:02:03.250 metacontext processing servers, think full -blown 00:02:03.250 --> 00:02:05.989 external software systems. They connect Claude 00:02:05.989 --> 00:02:08.949 to live APIs, maybe hook into real -time databases. 00:02:09.490 --> 00:02:12.229 Super powerful, yes, but let's be honest, they're 00:02:12.229 --> 00:02:15.810 clunky. Need deep developer expertise, not for 00:02:15.810 --> 00:02:18.949 everyday tasks. Okay. So where do skills fit 00:02:18.949 --> 00:02:21.759 in then? They are these reusable, specialized, 00:02:22.000 --> 00:02:24.300 call them micro workflows. They bridge that gap 00:02:24.300 --> 00:02:26.879 perfectly. Kind of like Alexa skills, but for 00:02:26.879 --> 00:02:29.719 your specific business process, you know. It's 00:02:29.719 --> 00:02:32.199 all about portability and focused, repeatable 00:02:32.199 --> 00:02:34.210 automation. And they deal with the limits of 00:02:34.210 --> 00:02:36.469 other ways we try to give AI context, right? 00:02:36.610 --> 00:02:38.889 Not just messy prompts, but custom instructions 00:02:38.889 --> 00:02:41.370 and projects, too. Exactly. Custom instructions 00:02:41.370 --> 00:02:43.830 are good for, like, overall tone. Projects let 00:02:43.830 --> 00:02:46.069 you link big documents. But all three methods, 00:02:46.289 --> 00:02:48.189 the giant prompt, the custom instruction, the 00:02:48.189 --> 00:02:49.889 project file, they kind of suffer the same problem. 00:02:50.030 --> 00:02:52.349 They load permanently into the context. And getting 00:02:52.349 --> 00:02:54.800 to them seems pretty straightforward. Yeah, surprisingly 00:02:54.800 --> 00:02:57.719 easy. You just hit the settings icon, go to capabilities, 00:02:57.879 --> 00:03:01.039 then experimental and toggle on skills preview. 00:03:01.680 --> 00:03:03.639 Anthropic even includes some built -in examples. 00:03:03.759 --> 00:03:06.159 There's an artifacts builder for coding, I think, 00:03:06.180 --> 00:03:08.800 and a brand guideline skill, which is useful 00:03:08.800 --> 00:03:11.120 for keeping voice consistent. Okay. And using 00:03:11.120 --> 00:03:13.379 one, how does that work in the chat? Super simple. 00:03:13.479 --> 00:03:15.460 You just invoke it by name, like tagging someone 00:03:15.460 --> 00:03:17.439 in a doc. You just type something like, okay, 00:03:17.460 --> 00:03:19.479 using the meeting minute skill, analyze this 00:03:19.479 --> 00:03:23.469 transcript. The strategic implication here feels 00:03:23.469 --> 00:03:28.030 big. How significant is this step really? towards 00:03:28.030 --> 00:03:30.710 building AI assistants that are actually consistent, 00:03:31.150 --> 00:03:34.349 reliable, that don't suffer from that memory 00:03:34.349 --> 00:03:36.509 wipe. Oh, it's fundamental. It shifts AI building 00:03:36.509 --> 00:03:39.509 away from these clunky hit or miss setups towards 00:03:39.509 --> 00:03:42.409 truly reliable, predictable outputs for recurring 00:03:42.409 --> 00:03:44.689 tasks. What's really cool here, though, is the 00:03:44.689 --> 00:03:46.550 technical foundation. This is where the engineering 00:03:46.550 --> 00:03:49.509 is pretty smart because it tackles that core 00:03:49.509 --> 00:03:52.169 computational problem of LLMs head on. Okay, 00:03:52.229 --> 00:03:54.310 I'm still trying to fully wrap my head around 00:03:54.310 --> 00:03:58.009 how a simple markdown file can run in parallel 00:03:58.009 --> 00:04:00.930 without using up that main context window. Can 00:04:00.930 --> 00:04:02.789 you walk us through that mechanism again? How 00:04:02.789 --> 00:04:06.150 does that actually work? Absolutely. So skills 00:04:06.150 --> 00:04:08.189 are basically structured markdown styles, right, 00:04:08.270 --> 00:04:11.689 .ind files. When you call a skill, Claude automatically 00:04:11.689 --> 00:04:14.030 pulls in the specific instructions from that 00:04:14.030 --> 00:04:16.949 file. But the key insight, the clever part, is 00:04:16.949 --> 00:04:18.910 those instructions run in parallel, almost like 00:04:18.910 --> 00:04:21.050 a little subroutine, separate from the main conversation 00:04:21.050 --> 00:04:23.589 thread. Okay, let's nail down this context rot 00:04:23.589 --> 00:04:26.110 problem again, because it sounds crucial. So 00:04:26.110 --> 00:04:28.350 when you use custom instructions or these projects, 00:04:28.569 --> 00:04:31.870 those rules get loaded permanently into the AI's 00:04:31.870 --> 00:04:34.899 short -term memory. It's RAM, essentially. Exactly. 00:04:35.040 --> 00:04:37.899 Imagine you've got, say, 200 ,000 tokens of RAM 00:04:37.899 --> 00:04:40.540 available. That's your context window. Now, if 00:04:40.540 --> 00:04:42.899 your static rules, your company style guide, 00:04:43.060 --> 00:04:46.120 your tone rules, your constraints, if those take 00:04:46.120 --> 00:04:50.040 up 150 ,000 tokens, Well, you have almost nothing 00:04:50.040 --> 00:04:52.980 left for the actual conversation or for analyzing 00:04:52.980 --> 00:04:55.660 that big document you just uploaded. That's when 00:04:55.660 --> 00:04:57.399 the AI starts forgetting what you asked five 00:04:57.399 --> 00:04:59.399 minutes ago. It's kind of paralyzed by its own 00:04:59.399 --> 00:05:01.180 background instruction. Right. It's like having 00:05:01.180 --> 00:05:03.800 a computer with a tiny hard drive and you permanently 00:05:03.800 --> 00:05:06.699 fill 90 % of it with the operating system before 00:05:06.699 --> 00:05:09.240 you even try to open a single app. It just... 00:05:09.519 --> 00:05:12.040 grinds to a halt. Skills solve this completely. 00:05:12.300 --> 00:05:14.259 They really are like portable flash drives of 00:05:14.259 --> 00:05:15.759 knowledge, the skill instructions. They just 00:05:15.759 --> 00:05:18.220 sit on the sidelines. They consume zero active 00:05:18.220 --> 00:05:20.660 context until you actually call them. The AI 00:05:20.660 --> 00:05:23.199 just temporarily plugs in that drive, runs that 00:05:23.199 --> 00:05:25.879 very specific limited set of instructions, and 00:05:25.879 --> 00:05:27.779 then instantly unplugs it when the job's done. 00:05:28.170 --> 00:05:30.629 So the AI runs this quick, focused subroutine 00:05:30.629 --> 00:05:33.670 and immediately clears the space, which means 00:05:33.670 --> 00:05:36.290 the main conversation thread stays lean, fast, 00:05:36.629 --> 00:05:38.829 not bogged down by all those specialized rules. 00:05:38.970 --> 00:05:41.230 Okay, connecting this to the bigger picture. 00:05:41.649 --> 00:05:44.029 How does this technical advantage change the 00:05:44.029 --> 00:05:47.050 practical limits? you know, for using AI in large 00:05:47.050 --> 00:05:49.370 -scale operations. It means conversations can 00:05:49.370 --> 00:05:52.529 get incredibly complex, really long, because 00:05:52.529 --> 00:05:55.230 the AI's short -term memory stays clean, stays 00:05:55.230 --> 00:05:58.350 ready for new information, and creating custom 00:05:58.350 --> 00:06:00.290 skills. It's actually remarkably straightforward. 00:06:00.569 --> 00:06:02.769 This is the fun part. The process is basically 00:06:02.769 --> 00:06:05.769 create a simple markdown file, write your instructions 00:06:05.769 --> 00:06:08.069 precisely in there, then you compress it just 00:06:08.069 --> 00:06:10.610 into a standard .zip file and upload it through 00:06:10.610 --> 00:06:13.110 that capabilities tab. Okay, now here's a critical 00:06:13.110 --> 00:06:16.019 tip from the source material. And honestly, one, 00:06:16.120 --> 00:06:17.819 I still wrestle with myself sometimes with prompt 00:06:17.819 --> 00:06:20.420 drift. Yeah. The file name. It has to be lowercase. 00:06:20.759 --> 00:06:23.759 And use dashes, not underscores. Sure. Like my 00:06:23.759 --> 00:06:25.959 cool skill. Yeah. Apparently, if you use capitals 00:06:25.959 --> 00:06:29.120 or use underscores, the upload just fails consistently. 00:06:29.139 --> 00:06:31.160 You could spend an hour debugging a perfectly 00:06:31.160 --> 00:06:32.980 good markdown file just to find out the file 00:06:32.980 --> 00:06:34.939 name was the problem. Yeah. That frustration. 00:06:35.319 --> 00:06:39.560 Definitely real. But now for the good part. The 00:06:39.560 --> 00:06:43.110 AI cheat code for creating skills. You really 00:06:43.110 --> 00:06:44.509 shouldn't be writing that markdown structure 00:06:44.509 --> 00:06:46.990 from scratch unless you, you know, enjoy that 00:06:46.990 --> 00:06:49.269 sort of thing. Okay, tell us. How do we skip 00:06:49.269 --> 00:06:51.490 the boring part? So you take one of the example 00:06:51.490 --> 00:06:53.610 skill templates Anthropic gives you, feed it 00:06:53.610 --> 00:06:56.290 back into Claude, tell Claude, learn this format, 00:06:56.449 --> 00:06:59.089 learn the syntax. Then you just describe the 00:06:59.089 --> 00:07:01.610 new skill you want in plain English, like I need 00:07:01.610 --> 00:07:04.930 a competitive pricing analyzer skill. And you 00:07:04.930 --> 00:07:07.589 let the AI format all those structured markdown 00:07:07.589 --> 00:07:10.370 instructions for you. Wow. Okay, so we're literally 00:07:10.370 --> 00:07:13.430 using AI to build the AI tools, kind of bypassing 00:07:13.430 --> 00:07:15.649 all the tricky formatting steps. Exactly. So 00:07:15.649 --> 00:07:17.810 what does this really mean for someone who isn't 00:07:17.810 --> 00:07:20.189 a programmer but needs these specialized, reliable 00:07:20.189 --> 00:07:23.529 tools? It means the AI handles the tedious, complex 00:07:23.529 --> 00:07:26.529 formatting part, which makes creating these tools 00:07:26.529 --> 00:07:28.569 accessible to pretty much everyone, right, in 00:07:28.569 --> 00:07:31.750 just minutes. Okay, before we get too excited 00:07:31.750 --> 00:07:33.629 about building things, it probably helps to know 00:07:33.629 --> 00:07:36.910 exactly which tool is right for which job. Let's 00:07:36.910 --> 00:07:38.750 clarify that complexity spectrum again. Yeah. 00:07:39.079 --> 00:07:42.220 Using the wrong tool. Well, it's inefficient. 00:07:42.439 --> 00:07:44.819 It's like trying to hammer a nail with a screwdriver, 00:07:45.060 --> 00:07:48.079 right? Messy. Doesn't really work well. Yeah. 00:07:48.160 --> 00:07:50.279 We need a framework. So custom instructions. 00:07:50.620 --> 00:07:52.980 Use those for the universal. Always on principles. 00:07:53.100 --> 00:07:55.459 Like your standard company tone, your company 00:07:55.459 --> 00:07:57.519 name, maybe a specific greeting it always has 00:07:57.519 --> 00:08:00.360 to use. The static background rules. Okay. Then 00:08:00.360 --> 00:08:03.069 the external stuff. Right. Use MCP servers when 00:08:03.069 --> 00:08:05.629 you absolutely need that external real -time 00:08:05.629 --> 00:08:08.649 data access. No question. Need livestock prices, 00:08:08.970 --> 00:08:11.170 need to update a Salesforce record right now. 00:08:11.209 --> 00:08:14.350 That's MCP territory. Got it. And skills. And 00:08:14.350 --> 00:08:17.009 you use Claude's skills whenever you have a repeatable 00:08:17.009 --> 00:08:19.810 workflow. or a specialized task you need but 00:08:19.810 --> 00:08:22.389 only selectively they really are the best path 00:08:22.389 --> 00:08:25.689 for most recurring specialized tasks why easy 00:08:25.689 --> 00:08:28.569 to create super portable and most importantly 00:08:28.569 --> 00:08:31.509 highly context efficient they live right inside 00:08:31.509 --> 00:08:33.529 claude's environment ready to go when you call 00:08:33.529 --> 00:08:36.769 them okay so the strategic implication when you're 00:08:36.769 --> 00:08:39.529 deciding on a new automation task what really 00:08:39.529 --> 00:08:42.679 points you directly towards using a skill, rather 00:08:42.679 --> 00:08:44.980 than the other two. Skills are just perfect for 00:08:44.980 --> 00:08:46.960 those specialized instructions you use often, 00:08:47.059 --> 00:08:50.039 but really only on demand. It avoids cluttering 00:08:50.039 --> 00:08:52.840 up that precious context window. Mid -roll sponsor, 00:08:53.179 --> 00:08:55.120 read placeholder. All right, this is where it 00:08:55.120 --> 00:08:57.320 gets really interesting, I think. Moving from 00:08:57.320 --> 00:08:59.480 the theory to actual application, let's look 00:08:59.480 --> 00:09:01.259 at three practical skills you listeners could 00:09:01.259 --> 00:09:03.360 probably start building and using, like today. 00:09:03.539 --> 00:09:06.059 Okay, first one. Think about the admin nightmare 00:09:06.059 --> 00:09:08.740 of building presentations from data. Let's call 00:09:08.740 --> 00:09:11.659 it the CSV to Slides Automator. This skill takes 00:09:11.659 --> 00:09:14.740 raw, maybe messy, spreadsheet data and turns 00:09:14.740 --> 00:09:17.139 it into a consistent, professionally formatted, 00:09:17.179 --> 00:09:20.039 say, 20 slideboard presentation. And it's not 00:09:20.039 --> 00:09:22.850 just summarizing data. Right. The key is the 00:09:22.850 --> 00:09:25.789 constraint. Exactly. The power is in the constraint. 00:09:25.970 --> 00:09:28.169 The skill makes sure the corporate style guide, 00:09:28.269 --> 00:09:30.830 the right font, the structure, that specific 00:09:30.830 --> 00:09:34.269 flow intro, results, future outlook, whatever 00:09:34.269 --> 00:09:37.309 it is, is maintained every single time. That 00:09:37.309 --> 00:09:40.730 saves hours of tedious manual formatting. Okay, 00:09:40.769 --> 00:09:43.669 number two. Next up, the revenue forecaster. 00:09:44.360 --> 00:09:46.759 Lots of businesses struggle with AI projections, 00:09:47.059 --> 00:09:49.919 right? Because LLMs are inherently kind of creative, 00:09:50.019 --> 00:09:52.360 inconsistent. The skill tackles that directly. 00:09:52.639 --> 00:09:55.039 How does it enforce consistency there? It forces 00:09:55.039 --> 00:09:57.779 the AI to use a specific deterministic methodology. 00:09:58.240 --> 00:10:00.440 You literally include instructions, maybe even 00:10:00.440 --> 00:10:03.259 reference required Python code, like Meta's profit 00:10:03.259 --> 00:10:05.960 library, perhaps, right there in the skills instructions. 00:10:06.139 --> 00:10:08.720 This ensures you get reliable, repeatable projections. 00:10:08.860 --> 00:10:11.399 It removes the AI's usual creativity from the 00:10:11.399 --> 00:10:13.379 equation. You want rigor here, not interpretation. 00:10:13.740 --> 00:10:16.179 Makes sense. And the third one. Third, the meeting 00:10:16.179 --> 00:10:18.379 minutes generator. This one is just pure time 00:10:18.379 --> 00:10:20.419 saving. You just drag and drop a Zoom transcript, 00:10:20.539 --> 00:10:23.340 maybe a Teams transcript file, which can be incredibly 00:10:23.340 --> 00:10:26.539 long and dense. And the skill does what? It instantly 00:10:26.539 --> 00:10:29.500 formats that whole mess into a standardized Word 00:10:29.500 --> 00:10:31.740 doc structure. We're talking clear sections, 00:10:32.059 --> 00:10:34.820 action items, who owns them, key decisions made, 00:10:34.940 --> 00:10:37.259 follow -up topics, a task that usually takes, 00:10:37.279 --> 00:10:40.559 what, 30 minutes? Maybe more. Becomes a 30 -second 00:10:40.559 --> 00:10:43.200 automated job. Wow. Okay, the biggest shift this 00:10:43.200 --> 00:10:46.179 enables then sounds like strategy. Progressive 00:10:46.179 --> 00:10:49.120 disclosure. The old way was dumping that massive 00:10:49.120 --> 00:10:53.289 5 ,000 -word prompt up front and just... Hoping 00:10:53.289 --> 00:10:55.610 the AI remembered it all. The new way. Start 00:10:55.610 --> 00:10:58.750 lean. Start clean. Exactly. As the conversation 00:10:58.750 --> 00:11:01.230 goes on, you progressively disclose the specific 00:11:01.230 --> 00:11:04.409 expertise needed. How? By invoking the right 00:11:04.409 --> 00:11:06.490 skill, you might start with general brainstorming. 00:11:06.490 --> 00:11:08.529 Then you say, OK, use the data profit skill to 00:11:08.529 --> 00:11:11.110 analyze this market data. And maybe later, all 00:11:11.110 --> 00:11:13.669 right, now use the CSV to slide skill to prep 00:11:13.669 --> 00:11:15.850 a deck based on that analysis. That's the efficiency, 00:11:16.029 --> 00:11:17.649 right? Continuous conversation, but bringing 00:11:17.649 --> 00:11:19.929 in different specialists sequentially. And this 00:11:19.929 --> 00:11:22.769 combination. This is the real power move. Think 00:11:22.769 --> 00:11:25.129 of it like building a video game character. You 00:11:25.129 --> 00:11:27.730 use projects, those things that link large files, 00:11:28.009 --> 00:11:30.230 background documents. Those are the character's 00:11:30.230 --> 00:11:32.889 base stats. That's the core identity, the fundamental 00:11:32.889 --> 00:11:35.629 knowledge base. And skills are. And skills are 00:11:35.629 --> 00:11:38.429 the character's spellbook. The specialized, dynamic 00:11:38.429 --> 00:11:40.870 tools you pull out only when you need them. It's 00:11:40.870 --> 00:11:43.269 the difference between having one AI generalist 00:11:43.269 --> 00:11:45.350 who kind of knows a bit about everything and 00:11:45.350 --> 00:11:48.090 having a whole team of hyper -focused specialists 00:11:48.090 --> 00:11:50.970 you can call on instantly. Right. Need to be 00:11:50.970 --> 00:11:53.649 clear, though. When not to use a skill. Good 00:11:53.649 --> 00:11:56.070 point. Absolutely never for real -time external 00:11:56.070 --> 00:11:59.009 data stuff that's purely MCP servers. And never 00:11:59.009 --> 00:12:01.210 for those universal always -on rules. That's 00:12:01.210 --> 00:12:03.190 what custom instructions are for. Skills are 00:12:03.190 --> 00:12:05.950 specifically for recurring, complex workflows 00:12:05.950 --> 00:12:08.549 and tasks where the formatting is non -negotiable. 00:12:09.039 --> 00:12:13.000 So zooming out again, what core strategic shift 00:12:13.000 --> 00:12:15.759 does this really enable in how we approach large 00:12:15.759 --> 00:12:17.860 scale AI automation, maybe in the enterprise? 00:12:18.350 --> 00:12:20.830 It fundamentally changes AI building from this 00:12:20.830 --> 00:12:23.450 monolithic, kind of clunky single application 00:12:23.450 --> 00:12:26.970 into a modular, flexible design, like stacking 00:12:26.970 --> 00:12:29.210 Lego blocks of specialized data and instructions, 00:12:29.590 --> 00:12:31.970 which gives you much greater consistency, much 00:12:31.970 --> 00:12:33.889 greater scalability. That feels like the real 00:12:33.889 --> 00:12:36.629 breakthrough. Whoa. Yeah. Imagine scaling that 00:12:36.629 --> 00:12:39.710 modular approach, that highly optimized way to 00:12:39.710 --> 00:12:43.190 handle like a billion specialized, reliable queries 00:12:43.190 --> 00:12:45.590 across a huge global organization. The potential 00:12:45.590 --> 00:12:50.070 is wow. So to recap, cloud skills are really 00:12:50.070 --> 00:12:52.070 that crucial middle ground tool, the thing that 00:12:52.070 --> 00:12:53.970 was kind of missing. They're easier to manage 00:12:53.970 --> 00:12:56.330 than those complex MCP servers, way, way more 00:12:56.330 --> 00:12:58.690 flexible than rigid custom instructions. And 00:12:58.690 --> 00:13:00.570 critically, they are massively context efficient. 00:13:00.830 --> 00:13:02.929 Yeah. The bottom line for you, the listener, 00:13:03.029 --> 00:13:07.429 is this. Skills let you build a library, a library 00:13:07.429 --> 00:13:11.370 of specialized, reusable AI employees, you could 00:13:11.370 --> 00:13:14.590 say, built specifically for consistency. Bulletproof 00:13:14.590 --> 00:13:17.990 consistency, saving you hours every single week 00:13:17.990 --> 00:13:20.389 on those repetitive but maybe high stakes tasks. 00:13:20.710 --> 00:13:22.950 So think about your AI assistant, not as just 00:13:22.950 --> 00:13:25.389 one generalist anymore, but as a customized specialized 00:13:25.389 --> 00:13:27.769 team where you control the training, you control 00:13:27.769 --> 00:13:29.730 the deployment. How many of those repetitive, 00:13:29.850 --> 00:13:32.429 maybe 30 minute tasks could you realistically 00:13:32.429 --> 00:13:35.600 transform into a 30 second automated skill? Maybe 00:13:35.600 --> 00:13:37.519 just this week. Yeah, I'd really encourage you 00:13:37.519 --> 00:13:40.200 identify just three to five high impact time 00:13:40.200 --> 00:13:42.840 consuming tasks just this week and try using 00:13:42.840 --> 00:13:44.940 that AI cheat code strategy we talked about. 00:13:45.039 --> 00:13:47.419 Start building your own focus library. I think 00:13:47.419 --> 00:13:49.220 you'll see immediate returns on that time investment 00:13:49.220 --> 00:13:51.220 pretty quickly. Thank you for joining us for 00:13:51.220 --> 00:13:53.559 this deep dive into AI memory management and 00:13:53.559 --> 00:13:55.820 these specialized workflows. We'll see you next 00:13:55.820 --> 00:13:55.940 time.