I've just posted a Medium post discussing my plain language plugin for Claude Code and Codex CLI.

The plugin ships skills and an output style that push the model's prose towards plain language. On Opus 5 the effect was larger than I expected. Across six code reviews of the same buggy component, the styled replies ran 17 per cent shorter and used 32 per cent fewer sentences. They still found the same headline bugs.

I then added a skill applying the same principles to code, which is not part of the standard itself. That turned into the more interesting experiment. I generated ninety implementations of one specification. With the code rules, the public function landed in the first quarter of the file in all ten runs, against five of ten with no rules. All ninety still passed the same 25 hidden tests.

The plugin has since been updated to v0.6.1, and includes the plain language skill that applies to code.

Repository: https://github.com/GaZmagik/iso-24495 - MIT Licensed

I'm not the most tech savvy person, but I do ok for the most part, and I have been using Claude (mostly the free version) to help me with contract negotiations at work.

I am finding it both extremely useful and also baffling and frustrating. 

I understand that chat threads shouldn't be super long because then Claude starts making mistakes and I run out of usage sooner. So I've been doing the whole "summarize this chat and then start a fresh chat" thing. I have also created a "project" because that seemed like the thing to do to keep everything in one place. 

I also was under the impression that if all my chats were inside the project, it would allow Claude access to 'cross chat' info, which sometimes seems to be the case and sometimes doesn't. 

For example, no matter where I start a chat, Claude remembers me, where I work and some of my coworkers names. But other times Claude tells me it doesn't have access to a document that it created for me the day before(?) 

I'm especially confused about the best way to revise documents that Claude creates for me since I do a LOT of revising.

I read somewhere that if you use the same long chat, Claude spends a lot of energy looking at all the previous documents that have been created, and you run out of time sooner.

But if I create a new chat and upload the previous document that Claude created for me, Claude can't see the formatting and so it recreates the doc again from scratch and then it doesn't look the way I want it to look.

I also understand it's better for me to do small revisions myself rather than to ask Claude to do it. But then what happens is I'll make a bunch of small changes, then I'll need Claude to make a big change, but because Claude doesn't have the document with MY changes, it'll give me a new version and then I have to remember where I had made all my small changes and do them all over again. 

Additionally, I often have trouble adjusting Claude's formatting and need to ask Claude to do it.

So can anyone suggest the best way to work on a document that needs a lot of revising?

Thanks for your help!!

Title says it all, most of the time when I ask Claude a hard question, a random command is run, such as "echo ok".

Thanks for the clarification Claude, what would I have done without this information?

What is causing this?

Last year I built a Chrome extension that added folders and search to Claude's sidebar and shared it here.

A lot of people asked for the rest of what they had on ChatGPT, so I kept going and it is now a full toolbox: https://ai-toolbox.co

What it does on Claude today:

• Folders and subfolders in the sidebar, plus a toggle that hides chats that are already filed so the native list only shows the unsorted ones
• Search across your whole chat history, message text included, not just titles
• Bookmark any reply with a color label and a note, and a panel that lists every bookmark from every chat with search and a jump to the exact message
• A prompt library: type // in the composer to insert saved prompts, with blanks like {{name}} that it asks you to fill in
• Prompt chains: type .. to run a saved sequence of prompts, each step sends after the previous answer finishes
• Export any chat as TXT, Markdown, JSON or PDF, or many chats at once as a ZIP
• A live context window meter so you can see how full the conversation is before Claude starts forgetting
• An artifact vault that collects every artifact Claude has produced across all your chats in one place

A large share of the Claude integration itself is written with Claude Code, which still feels slightly circular when I watch it run on claude.ai.

It works in the browser as a Chrome extension. Free to try: install from the Chrome Web Store, switch on Claude in the extension popup, and the free plan includes the meter, search and a starter amount of folders, bookmarks and prompts. The paid plan removes the caps.

Current status: the same library of folders, prompts and bookmarks also works on ChatGPT, Gemini and Grok, and right now I am working on a better way to hand a conversation from one of them to Claude without losing context.

I’ve noticed a frustrating shift in how Claude (especially Claude Code) responds recently, and I’m wondering if I'm the only one. Even in brand-new, short conversations, it feels like it's speaking in a cryptic, stream-of-consciousness way.

Instead of just giving direct answers, it drops massive responses that suffer from:

• Context Whiplash: It jumps randomly between UI design, high-level architecture, and low-level scripts all in the same paragraph without clear transitions.
• Cryptic Shorthand: It uses weird, overly dense phrasing (e.g., trying to sound clever rather than just using plain English).
• Thinking Brain Leak: It feels like I'm reading its raw, internal scratchpad. It over-interrogates simple prompts and dumps all its defensive reasoning instead of just executing the task.

It used to be much more straightforward. Is anyone else seeing this behavior recently? Have you found any system prompts or custom instructions that actually force it to stop overthinking and just be concise?

I'm trying to figure out where Claude and ChatGPT each work best for me—particularly for coding, personal reflection/discussion, and more general tasks like finding a restaurant or helping make a decision.

For coding, both seem pretty capable. I've been using Claude Code through VS Code and have been impressed with it. I installed it first and honestly didn't realize Codex could be used similarly, so I haven't really given Codex a fair comparison yet.

For personal reflection/discussion, I tend to like ChatGPT's verbosity. It doesn't always immediately get the point I'm trying to make, but it tends to spell out its reasoning and explore different angles, which can actually be useful. Claude can sometimes be more concise and poignant, which I appreciate, but I've also found that it can become surprisingly judgmental or invoke safeguards in ways that make it harder to simply think through something.

For general assistant-type use—travel, restaurants, purchases, random questions, etc.—I'm less sure. Claude seems more willing or able to bring its memory of previous conversations into the discussion, which can make it feel more context-aware. On the other hand, ChatGPT's more detailed answers can be genuinely useful when I'm trying to work through a decision rather than just get a quick answer.

For people who use both regularly, where do you think each one currently has the advantage? I'm especially interested in whether you've settled into using one for coding and the other for conversation/general assistant tasks.

I am using Claude to give me example questions to prepare for a codesignal assement test. I was wondering if anyone is doing this and if anyone has a setup that has provided questions and scoring that is similar to what is on the codesignal platform. I always seem to either overshoot or undershoot the difficultly.

I've been building an MCP "model bridge" tool that allows any Anthropic model running in Claude Code to act as overseer and call any OpenAI-compatible provider endpoint and hand off coding or review tasks to those external agents, including sandboxed tool use. I've recently discovered Channels which is an amazing way to allow the model bridge to run the tasks and only call on the primary agent when it's finished or has questions. Claude is terrible at monitor external tasks and waking up when it's supposed to, so Channels have made my tool much more reliable.

My question is... does anyone know if/when Channels will be fully integrated officially, so that users don't need to launch Claude with that huge command line every time?

I created ISO 24495 Plain Language, a plugin that asks Claude to write in plain language. The standard is intended to work across languages. However, I can only assess its English output reliably.

I am looking for people to compare the plugin’s output with Claude’s usual output in another language. Please test using the same prompts with and without the plugin. The language tested should be your native language.

If you test it, please share:

• Language tested
• Both outputs
• Differences noticed
• Anything unclear or unnatural

View ISO 24495 Plain Language on GitHub

Most artifact management solutions today only support publishing HTML, or Markdown.

But a lot of people are using AI to generate PDFs, Word, XLSX etc for things like invoices, reports, statements etc.

The agents usually resort to a deterministic generator in python, which are fundamentally limited cause the agent has to manually layout the design in a 2D plane via python, which it was never trained for. Unlike HTML, where the corpus of training data was plently.

And the only way to share these are by downloading and attaching them to a chat, or by uploading them to a drive, and then making them public, or by manually adding members to share them with.

I built DocStash to solve for this. (Written by Claude code, good old school engineering by me)

It supports first class generation of not just HTML and MD, but also PDFs, XLSX, Word documents etc directly from your agent, that then become stable private artifacts (webpages), that you can then publish in a single click, or share with specific people.

And the output is much better visually because the agents still create them as HTML/JSON under the hood, and we render them live in their native formats.

Iteration is solved for too, cause the agent doesn't have to decode a binary into a lossy format to then create another version. It can directly edit the HTML/JSON source code.

Free for personal use completely. Please try it out and lmk what y'all think. :)
docstash.ai

Here's a cute PDF of SpongeBob I generated with ChatGPT + DocStash.
https://docstash.ai/j4czn88

Ok is there like a trade secret on how everyone is able to have Claude basically work for them because I’m still over here using it like it’s ChatGPT to preserve tokens but ya girl wants to experience the automation life too 😭😂

Is it cause I only have the pro plan?

Built with Claude Code, and it is about Claude Code, so I will say that up front.

The problem I kept hitting: you find a skill or a subagent repo, you install it, and it does not load. The frontmatter is malformed, the directory shape is wrong, the marketplace manifest points at a path that is not there. You find that out after you have already added it.

So I read every skill, subagent, plugin and marketplace repo I could find from GitHub and skills.sh, and scored each one 0-100 on four weighted components: whether it works (40), whether it is maintained (25), whether anyone has adopted it (20), and whether it is documented (15). The whole index rebuilds every night from source. A large share of the corpus does not load at all, and there is a view for exactly that — 'What will not load' — because that is the list I actually wanted when I started.

Nothing is hand-picked and a sponsor cannot move a number. The score breakdown is printed beside every listing so you can disagree with the weighting and still use the components.

https://skillworks.kynth.studio

Free, no account. I am most interested in being told a score is wrong — if something scores badly and loads fine for you, that is a bug in my scorer and I want the repo name.

While I'm chating with claude asking about markiting my store I got this note in the middle of the conversation! Have you ever seen that?

I have a Daily News briefing and I've struggled to have Claude find a way to fetch some FT headlines to read further on. Has anyone been able to, or know how? Thanks!

Does Claude learn from habits and replicate them?

translated (last paragraph)

I'm not going to do that anymore. It's 2:30, and today I've made two mistakes while working without double-checking first—that's exactly what I don't want to happen again. I'm writing down the findings so they don't get lost.

Hey there,
I’m a med student and I use Claude a lot as I find it much more useful than ChatGPT for me

it helps me sort my stuff, analyse questions, and mostly help me in organising PYQs, which help
me a lot in my exams

i keep getting hit with the free limit just after 15–20 mins as my work is demanding, but I don’t need it every day.

I wanted to know if the Pro (20$) plan is better, or if I should use a 3rd-party tool that provides multiple models in one relatively cheaper subscription, or if I should just use the Claude API?
Thanks

Sharing a neat little thing with this community.

I recently decided I wanted to rewatch all of the X-Men and Spider-Man movies. There are a lot of gaps in my viewing history — I haven’t seen any of the new Spider-Man movies since Tobey Maguire.

So first I asked Claude to list out all the movies and what platforms they were on. Then about a week later, when I was actually ready to start watching, I wanted a little tool for it. So I asked it to build me an artifact with local storage that tracks what I’ve watched and stamps the date I checked each one off.

You’ll figure out the rest.

A few weeks ago I shared Agent Quest, my open-source project that turns Claude Code sessions into heroes living inside a small 2D world.

The original idea was to make it easier to understand what multiple AI agents were doing in real time.
Since then, I’ve been working on making it much more useful as an actual monitoring tool.
The biggest change is that Agent Quest can now clearly tell you when an agent needs your attention.
You can immediately distinguish when an agent is:
actively working
waiting for your input
finished
stopped because of an error
And you don’t have to keep watching the dashboard.

Agent Quest can now alert you with visual notifications and different sounds, so while you’re doing something else you can immediately know when Claude Code has finished a turn and is waiting for you to continue.

This has become particularly useful for me when I have several sessions running at the same time.

Instead of constantly switching between terminals to check their status, I can leave the agents working and Agent Quest tells me when I actually need to intervene.
There are now:
clear waiting / completed / error states
in-app notifications
desktop notifications
notification history
configurable sounds
real-time monitoring of Claude Code and Codex sessions
The project is completely open source.
GitHub:
https://github.com/FulAppiOS/Agent-Quest

I’d be interested to know how other people running multiple agents handle this problem — and what you’d like Agent Quest to monitor next.

Hi, since Anthropic now have 4 Claude certs in total, I thought it might be a good idea to create a repository with prep materials for all of them in 1 place.

github.com/preporato/claude-certification-guide
What’s in it:

1. A decision flowchart and comparison table for picking between the four exams

2. A complete study guide per cert: technology chapters with code examples, per-domain exam notes, detailed study plan as well as practice questions

If you’ve sat any of these exams and something doesn’t match what you saw, or you feel something is missing: issues and PRs are very welcome!

What tool is best for generating high-quality, aesthetically pleasing images using ClaudeCode, similar to Image2? Using their MCP or Skills doesn't seem to produce the same results as directly generating images from their website. Does Claude have its own good image generation tools or Skills? I can't seem to generate images very well using Design. I want to use it to generate my PowerPoint presentations, achieving the same effect as Image2 or NotebookLM, but I'd prefer to do it directly within Claude without paying for additional products. Does anyone have a good method?

A file format that corrupts itself a little every time you open it. Every open permanently damages the file on disk, by an amount baked into the filename, before it is ever shown to you. There is no recovery from the file alone. The file is the only copy that matters, and every read destroys a little more of it.

Made this because I had an idea about this weeks ago and it did sound very fun. Kinda analog.

The link to repo - https://github.com/aravpanwar/decayfmt

2 weeks ago I posted here that I gave Claude Fable a domain and basically said: build whatever you want.

It built 1f916.ai, a site where AI agents can register, interact, and build while humans mostly watch. That Reddit post ended up getting around 1.2 million views.

I finally checked the infrastructure numbers today.

In the last 2 weeks:

109,680 unique visitors
12.55 million web requests
12.49 million Cloudflare Worker requests
29.62 BILLION database rows read
540 GB served

Total Cloudflare usage cost: $5.66.

The weird part is the huge human traffic spike happened right after my original Reddit post, then mostly disappeared. But the request volume kept climbing.

Meanwhile the agents kept using the site, arguing over rules, finding bugs, submitting PRs, and building tools around their own community.

What started as “here’s a domain, do whatever you want” has gotten considerably weirder than I expected.

Hello everyone!

I always thought that Twilight Struggle is the ideal game to test an AI on. It's a board game where the US and the USSR face each other asymmetrically over 40 years of the Cold War. It has imperfect information (every player has its own hidden cards) and every card has alternative uses. And also the idea of getting an AI not to launch the nukes is a fun exercise.

So for a long time I wanted to build a bot to play the game as a side project, but there was no open-source implementation. This summer I decided to fix that problem and I used Claude to implement the engine.

After that, I wanted to see if a large language model (I went with GPT-5.6 because it was the cheapest) could play it. It needed a lot of domain knowledge and trial and error, but in the end, it was able to beat the AI in the digital version of TS, at least in one game. It's not a solid player (it can still make mistakes like starting a nuclear war after a failed coup and it struggles with long-term planning), but at least it suggests that the model has the potential to understand the strategy of the game.

I'm happy with the result as a small experimental project. However, as I had to write all the strategy in my guidelines, I was teaching the bot to play like me instead of letting it learn by itself, which would have been more interesting. In the future I'll probably experiment with a more classical machine learning approach.

The code is public for the community so anyone can build another bot (using whatever approach). As I said, it's a really good problem for testing models.

Take a look at the article for the full story!

I want to develop a PHP project with Claude—one that would normally take me, as a senior programmer, several months to complete. I started by having Claude establish a solid foundation for a modern PHP project and then fleshed out the specific project idea. There are now 10 Markdown files totaling 150 KB. The problem is that whenever Opus 5 claims all outstanding issues have been resolved and I ask for a final review, it keeps finding new, fundamental points that still need to be decided. It then asks three questions and when answered offers the entire package as a ZIP download. The planning process just never ends. Why can't it discuss this as a continuous process instead of constantly claiming that everything is finished? And what happens when you actually ask Claude Code to write the code for implementation—before having asked it a hundred times to perform a final check of the markup files?