Tuesday’s Workwear Report: Flared Tonal Soft Knit Skirt

This post may contain affiliate links and Corporette® may earn commissions for purchases made through links in this post. As an Amazon Associate, I earn from qualifying purchases.

A woman wearing a bright green skirt and black slingbacks

Our daily workwear reports suggest one piece of work-appropriate attire in a range of prices.

This verdant green skirt from Misook somehow looks both polished and incredibly comfortable. I tend to veer away from knit skirts because they can be clingy in the wrong ways, but the shape of this looks just right.

I would pair this with navy, cream, or camel if you’re looking for neutrals, but you could also grab this matching top for a full-on green look.

The skirt is $288 at Nordstrom and comes in sizes XS-1X.

Sales of note for 6/5:

Leave a Reply

Your email address will not be published. Required fields are marked *

43 Comments

    1. If you read up about who joins cults (not the same but similar) its not always people from rough backgrounds. Sometimes people from very stable families have a weaker BS detector and get swept up in things like this.

    1. MMLF used to make something like that. Maybe it is from the Fold? It is like what they sell if not theirs.

  1. There’s a good article in the Guardian today about how a majority of new AI data centers are being built in drought-stricken areas:

    “About two-thirds of upcoming datacenters, which typically require a large amount of water to operate, are set to be built in places that have been among the driest in the country over the past year…Large datacenters, some the size of small towns, can require up to 5m gallons of water a day, equivalent to the water use of up to 50,000 people, in order to provide cooling to arrays of humming networked computers.

    Overall, the multiplying datacenters across the US are set to demand as much as 73bn gallons of water a year by 2028, up from about 17bn gallons in 2023. Each 100-word AI prompt uses up roughly one 500ml bottle of water due to the cooling needs of datacenters, researchers have estimated.”

    In other words, each short AI prompt you use is like dumping a bottle of water on parched ground while local government pleads with citizens to turn off the faucet while brushing teeth.

    https://www.theguardian.com/us-news/2026/jun/08/datacenter-ai-drought-water

    1. Isn’t DeepSeek supposed to be more efficient?

      I’m not convinced all these data centers are being built just so that AI can take our jobs. I think they’re finally trying to process data sets that were too big before AI could process them (and people should be concerned about privacy, free speech, and surveillance implications). Training AI on new data sources also uses more water than engaging with LLMs. I don’t think a LLM boycott would change much.

      1. I’d have less of a problem with processing data sets than I have with people using ChatGPT for literally the simplest stuff.

        1. Are we even able to avoid? It pops up each time I use Google but I’m not requesting it and not clicking on it.

          1. Yeah this is the issue. Gmail, Google (I see the alternatives, those are a good idea), budgeting tool, Slack, password manager – just to list a few places I’ve seen it pop up recently.

      2. Oh they definitely want AI to take our jobs. Good news is I’ll probably retire in the next 3-5 years, but I’m certainly worried about my kids’ jobs.

        1. The only way this works is if they lower standards dramatically. Generative AI is just not up to the task.

      3. I’ve been wondering this for weeks since I first saw it here – what on earth does LLM mean in this context? I only know it as a Master of Laws degree.

    2. I’m wondering: who is being encouraged to use AI, who is being told to use AI, and who has a time/budget code for the time to learn it (or proof the results to spot errors before trying again). It’s like I’m a preceptor for the boss’s kid and I can’t complain and it’s not helping me, just taking my productive time and encroaching into my free time to get important things done (by me).

      1. Yes, but that’s what older generations said about learning to use calculators, word processors, smartphones – the list goes on and on. (My engineer father told me to learn to use a slide rule because my calculator battery might fail. I’ve had a long career in a quantitative field and I never used a slide rule).

        1. But those things worked and improved efficiency, instead of messing up constantly and creating more work.

          1. Originally they had lots of problems (like battery failures and clunky, primitive software). People hated learning to use them and they weren’t that efficient at first. They got better.

            Really, all the AI naysayers sound just like my parents in the 1980s and 1990s.

          2. It it were my job to train it, fine. But my current work takes up all of my time to work. Something needs to be offloaded.

          3. Survivorship bias is a hell of a thing. I promise there have been tons of hyped bad technology that people hated that didn’t ever live up to the promise and have been long forgotten.

        2. I am trying to learn a slide rule. It is delighting my grandfather to show me how they work. I kind of get it but the math I need to go for work is no harder than algebra, which I can do quite well in my head for estimating and on paper or excel for a number with precision.

        3. Learning to use a slide rule teaches you about math.

          Calculators generate a correct answer so long as the inputs are correct. LLMs notoriously generate different, and diametrically opposed, answers when you, eg, change the status (gender, plaintiff vs defendant) of the person asking the question.

          Calculators never hallucinated.

          1. AI might improve if there are incentives to improve it. So far I see none. Just AI companies trying to shove a garbage product down consumers’ throats.

          2. Generative AI can’t improve because its flaws are integral to how it functions. This is also why all the improvements so far have been superficial. All they ever do is hallucinate. It’s buying into a sales pitch to think that hallucinations are a bug that could someday be fixed.

            Other kinds of AI and automation will keep improving if we invest in them. Right now, people keep using AI for tasks that can already be more reliably and efficiently automated, but the better tools have the tiniest bit of a learning curve or were never initially made available for free. It’s an education and tech literacy issue that people want the tool that works to be the tool you just have to talk to and don’t have to learn (for some people it is probably also a literacy literacy issue).

    3. I’m no fan of AI data centers, but since this is a shopping blog, try comparing the water used on a single purchase of anything.

  2. I have a new pair of leather sandals for work that has a smooth footbed. My foot is sort of sticking to the leather, and it’s making an awful noise as I walk. I hate to ruin a leather footbed with a sticky liner or something. Is there anything to make this better? Of course I didn’t notice this problem until I’d already started wearing them, so it’s too late to return.

    1. You could stick something like leukotape to your foot (but it is very grippy). I’d stick moleskin to the ball of the foot area of the footbed.

    2. The Birkenstock subr3ddit covers this topic with respect to the smooth footbed styles. Here are some suggestions:
      baby powder
      a small piece of sticky moleskin or velcro (soft side, not the prickly side), although you don’t want to use adhesives
      loosening the straps so your foot can slide more easily

    3. Look for “Summer Soles”. I used them for this exact problem. They’re very thin suede textured fabric (thinner than actual suede would be), and stick nicely in sandals. The adhesive is effective, but also will come off without residue/damage when you want to remove them.

  3. Are there worthwhile services that review resumes for a fee? Has anyone used one and seen more response from job applications because of it? Do they specialize in different industries? Because I don’t need someone to review for typos, ya know? I want to make sure it’s the best resume it can be for my field. (Government relations)

    1. I think you are better off doing a Google search on your own. Or looking for job-specific subs on R*ddit. I was referred to some type of resume service when I was laid off and I got better information doing research on my own.

      I work in a tech-adjacent field and I use keywords from the job description in my resume and quantify my accomplishments as much as possible.

  4. Pet peeve of the week: When people send you emails that are obviously ChatGPT written. I’m talking about 1-on-1 emails, not like group announcements. There is a difference between edited a bit by chatgpt and written in a way that no human actually writes. Also, if I know the person, I know they definitely don’t write like that. I can’t really do anything about it but I wish I could call it out, so just ranting here instead.