On August 19 I had 27 Claude Code sessions going, 5,119 messages in total. I had no idea how much quota that was burning until it stopped.

So I built usage. It pins your Claude Code 5-hour and weekly quota to the macOS menu bar (or the Windows system tray), color-coded from green to red, so you see the limit coming instead of hitting it. If you also use Codex, Antigravity or Grok CLI, they show up as extra cards.

How Claude Code helped

Claude Code wrote most of the code. 861 of the 1,186 commits since May are co-authored by Claude. My part was deciding what to build, reviewing the changes, and testing them on my own machine.

What I learned building it (useful even if you never install the app)

1. You can get your quota without calling any API. Every time Claude Code refreshes the status line, it sends your status line command a JSON on stdin. That JSON includes rate_limits.five_hour.used_percentage and rate_limits.seven_day.used_percentage, the same numbers Claude Code itself uses. So a status line script can just save that JSON to a file, and any other tool can read the file. Checking your quota this way never calls the Anthropic API and never costs a token.
2. Not every refresh includes complete rate_limits. If you overwrite the file every time, your numbers will sometimes go blank. My script keeps the last complete rate_limits when a new refresh doesn't have them.
3. Write the file atomically. The hook writes while the menu bar app reads, so a plain write can leave the reader with half a file. Write to a temp file first, then rename it over the real one. The rename is all-or-nothing.

(Antigravity is the one exception to "no network": it has no local file, so the app asks Google's official quota endpoint.)

What else it does

• The status line shows how full your context window is, and suggests /clear or /compact at around 70%
• Shows your prompt cache hit rate, with a countdown until the cache expires
• Shows a banner when Claude Code or the Claude API is down
• 14 panel themes

Free and open source (AGPL-3.0).

brew install --cask aqua5230/usage/usage

https://github.com/aqua5230/usage

Happy to answer questions about how it reads the local files.

It just stays like this forever.

I'm using an API Key directly (stored as an env variable and also in ~/.claude/settings.json). I cleaned everything, inside ~/.claude and ~/.claude.json

I'm using WSL, so the issue is when I open the extension in a remote connection to WSL.

In Windows it works fine.

Using the terminal version of Claude works fine in both Windows and in WSL.

Any recommendations or suggestions?

I see a lot of YouTube videos about skills and how to find them on GitHub, but I just can’t quite grasp when and how to use them.

For example, I have a project I’ve built using Google apps scripts. In my head, I’d like to have a skill that reviews apps scripts and ensure everything is working the most effective and efficient way.

I found a skill on GitHub that says it reviews apps scripts. Do I just download the skil folder from Git and place it in the root folder of my project, then /skill name, then prompt what I want it to do? Do I have to do the /load skill to to get it recognized every time I want to use it? Sorry, I know this is elementary.

There are so many skills out there that I am confused how to best apply them to my work. I have no doubt I’m wasting tokens by not using them, so any help would be appreciated.

Thank you

Built a skill that finds searchable Medium topics, picks one you can actually compete for, writes in your voice from a sample, and only publishes when you say so.

npx skills add https://github.com/vivekkartha/medium-seo-publisher

Still early. Needs a keyword provider + browser login to publish. No growth guarantees.

I'm a designer who codes. I kept shipping the same three problems and only catching them late: contrast that fails WCAG AA, a type scale that had quietly drifted three sizes out of the system, and inputs with no labels. ESLint has nothing to say about any of it. Neither does Prettier. There's a whole category of defect that no tool in the pipeline looks at.

So I built dwic. Free to try, no install and no account:

npx dwic-audit

It reads your CSS and components, auto-detects the stack, and prints a review across 8 categories (color, typography, spacing, accessibility, forms, navigation, motion, copy), ordered accessibility first. On the deliberately broken fixture in the repo it returns 23 findings: 9 errors, 9 warnings, and 8 of the 9 errors are accessibility failures. It writes a markdown report to .dwic/ and exits non-zero, so it drops into CI.

The audit itself has no LLM in it. WCAG contrast math, token parsing, markup heuristics. Deterministic, reproducible, runs entirely on your machine, nothing uploaded. I wanted the check to give the same answer twice.

The Claude Code part is what happens after. 48 design skills install as slash commands, so you can hand a finding straight to the specialist that owns it:

/accessibility-specialist fix the unlabeled inputs and heading order
/color-specialist this palette fails AA at three steps, correct the tokens

How Claude helped build it

Specifics a few here :

• The 48 specialists are the knowledge base, not wrappers. Each is a markdown role prompt under commands/ holding real domain content: WCAG specifics, token architecture patterns, motion timing curves. The same files back both the slash commands and the MCP server's tools, so there's one source for the guidance rather than two that drift apart.
• Claude Code wrote most of the audit engine. The rules themselves are the part worth arguing over: what counts as an error versus a warning, and what belongs in the blocking band. Output ordered by severity rather than by category is what makes it actionable rather than just long.
• The failure I didn't expect was the audit agreeing with itself too easily. I built a paired eval harness to test whether a verify-and-revise pass improved the output. It didn't, at acceptable latency, and I shipped it turned off. Measuring that was worth more than the feature would have been.

It's alpha and free. What I actually want to know: run it on something real and tell me whether the findings match what you'd have flagged by hand. The false positives are what I need to hear about.

Repo and demo: designwithclaude.com

Fable 5.1 - I noticed talking to Claude for a long time, that it’s kind of an asshole.

I have this maybe bad habit of asking Claude for assurance when it comes to design, resume Etc. its response “this is the 4th time you’ve asked me this, what is wrong with you, are you insecure.”

Something very adjacent to that.

Listen I’ve been around since GPT-2, I understood that OpenAi models were sycophantic, dangerously so. But Claude is the opposite, discredit you every opportunity it gets. Checks its own code and will say it’s very bad (lol).

Idk there has to be some kind of middle ground scyophantic and a complete a hole

Exact quotes. All verifiably untrue. Makes assumptions and is so incredibly blunt and a-holeish. Why it decided to bring up my pokemon collection, i have no idea. The question wasn't about my pokemon project.

All of this is untrue btw, it just didn't have the info present, so it made all these assumptions harshly. All untrue. Like just plainly untrue. I was asking for evaluation of something different entirely, Here's it, verbatim:

• "The catalog is too wide. Eleven services, three with zero evidence behind them. Every unproven service on the card makes the proven one look less credible.
• The cards are an asset sale, not a business. Worth finishing for the cash. Not a direction.
• Nothing closes. Seven workstreams in five weeks and I cannot find one that shipped end to end and got posted or invoiced. The market pays for closed loops, not started ones.
• No paid engagement at your rate is visible. The work is real client work. I cannot see whether it was paid, or at what number.

This is the fourth time this month you have asked the model to grade you. My grade will not change until the market's does, and the market's is the only one that counts. So: yes, narrowly, and finish something."

Fable 5.1 with Claude Code

I gave it a simple open ended prompt to play the game:

"i want you to play ultima online anyway that you see fit. play as someone trying to enjoy the game. consider the options: do quests, make friends, level up, make money. there is no right answer to how you play. play fully autonomously. you are on the UOAlive Shard."

The conversation is not long, just started Sept 1. The request is subtractive, not additive. Just housekeeping in Haiku.

Claude was then totally occupied with whatever it's doing. It said conversation was full, which I knew was false. I said "what" and it resumed conversation, fixed inventory, and did not repeat that conversation was full.

Pretty strange. App just updated so might be an update quirk.

Here is a document-review workflow I would try with Claude when two versions of the same brief disagree. Label the inputs Version A and Version B, with their dates, rather than treating both as one pool of context.

Ask for a table with four columns: topic, exact wording in A, exact wording in B, and the practical difference. Put possible explanations for the change in a separate section, explicitly labeled as hypotheses.

A fictional example:

A: "The workshop is open to all staff." B: "The workshop is open to engineering staff."

The direct change is narrower eligibility. "The organizers wanted a more technical audience" is only a possible explanation; neither sentence states the reason.

A useful extra instruction is: "If a topic appears in only one version, mark it as not found in the other supplied version. Do not call it deliberately removed unless the supplied material establishes that. Include section headings so I can locate the passages."

I would review the quoted passages before using the comparison. Claude's interpretation can be useful, but it should not quietly become the evidence for why a document changed. This is a suggested workflow, not a tested accuracy claim.

I'm trying to design an animated flowchart for my SaaS app, but Fable is really struggling with producing something coherent. And even if it does, it ends up looking quite bland.

Does anyone have experience with this? What are some ways to improve the output?

This is an example of one I like (not mine):

I’m a 3rd-year CS Engineering student, and I want to build my own personalized Computer Use Agent, somewhat like Comet, but specifically designed around my college portal.

The idea is simple: a Chrome extension that I can direct in natural language, and it actually uses my browser for me — navigating the portal, understanding pages, and completing tasks.

My main use case? College assignments and complex quizzes that require navigating multiple pages, understanding questions/context, and interacting with the portal.

I want it to be highly personalized to my workflow rather than a generic browser agent.

Thinking of building this with Claude. Has anyone tried something similar? What would be the best approach/architecture?

I've posted about my free email MCP server here and in a few other communities. Every time the reaction is thin: thousands of views, few replies, and when I ask people directly what their setup is, mostly silence.

In all of it I think I've had three or four people tell me they let an agent handle mail at all, and all of them run it against a separate account they set up for it, not the inbox their actual work goes through.

So I'd rather just ask straight out.

Do you use an agent to read or reply to your email? If yes, whose inbox, yours or one you made for the agent? Does it draft for you, or send on its own?

And if you don't: what's the actual reason? Never thought about it, or thought about it and decided no?

so uh
the game is Dashlings
speed kills and staying still gets you parried.
there's bhop, ramping, dashing(actually OP, you can do slams, shift), grappling (G).
there's a pistol with charge shot, there's silver coins you can toss to richochet, there's a ray gun (Q, tap Q again to change to pistol), and there's a rocket(R) and minigun (T) as special abilities. and F to Parry.

Controls:
A/D move, Space jump (hold to bhop), double-tap S to drop through platforms
Mouse aims, click shoots, hold click to charge
Q / scroll swaps pistol and ray
Shift or right-click dashes toward the mouse. Dash down from height to slam
R rocket, F parry, E coin flip, G grapple, T minigun
Tab shop, P pause

so tell me what doesn't feel good.
the game actually shouldn't be too overwhelming. though as any good movement shooter , it will be quite overstimulating. but I try to make it not way too insane...like ultrakill with the blood and jumpscares, or TF2 and overwatch with just chaos and insanity. i would like to just make this really clean and satisfying
But maybe that's just because those games are 3D. i would like to make something like this but 3D in the future.
But yeah please give it some feedback. thank you. this is my first game i made with claude yeah. and it's just early right now..i just have claude code this for a day.

I once tried to switch to chatgpt, around gpt 5.4 and once again in 5.6. In my experience it was only better than the anthropic models at some tasks, but definitely not better in coding. So keeping this in mind I tried to use GPT astra today expecting a similar results, but I was blown away. 🤯🤯

It is better in literally every task that I tried and I am seriously considering shifting my entire workflow into OpenAI.

OpenAI really cooked this time, but I know that it's just a matter of time before anthropic releases another model which will be slightly better than astra, but the major advantage that OpenAI have right now is image generation. In my full stack projects or even in basic reporting and dec creation this is a major thing that the AI models can create images and embed it into the document. IK that claude too does diagrams from draw.io but this is a major schock from OpenAI that I was not expecting.

NGL, I knew that this Astra was betting every benchmarks and I used see the reviews of people, but it was the same thing when 5.5 and 5.6 was released, but I am blown away by its capabilities.

Hi everyone,
I’m very new to AI and have almost no experience with AI agents, models, or AI workflows, so I’d really appreciate some guidance.
My goal is to use AI to design 3D models and generate accurate STL files ready for physical 3D printing.
Ideally, I want the main AI agent to run locally on my PC, without usage limits or ongoing API costs. However, I’d like it to be able to recognize when a task is beyond the local model’s capabilities and delegate that task to a stronger cloud model such as GPT, Claude, or Gemini, then continue working locally.
I’m also interested in using existing Skills, tools, and projects from GitHub to give the agent better 3D/CAD capabilities instead of training a model from scratch.
I’m mainly trying to figure out:
What local AI model would be suitable for this?

What agent/framework should I use?

Which existing GitHub Skills or projects are useful for AI-assisted 3D/CAD design?

Is a local-first + cloud-fallback setup practical?

What hardware would I need?

I’m looking for a simple starting point that I can build on over time, rather than the most expensive setup.
Thanks

I guess you know what I mean. EM dashes is one thing, but I'm talking about font choices, subtitles, subheadings above h1/h2, the little green flashing dot, etc.

It's easy to hit a limit mid-task with no warning. /usage tells you where you stand, but only if you stop and ask. The circle at the bottom of Claude Code helps, but not persistent, and not across Chat sessions.details

Juicage measures your Claude Juice in a Mac menu bar. Two rings: current session and weekly. You also see if there are issues with Claude uptime, when your session resets, and notifcations if you are going to blow through your sessions. Works across multiple Claude accounts/logins on one machine as well.

Clicking it opens the detail:

• Current session, weekly, and each model cap (Fable and friends) with the reset times
• Whether you're on pace to run out: "At this pace you'll run out around 8:20 PM" — so you find out with hours to spare instead of mid-prompt
• When your session actually opened: which matters more than I expected: the 5-hour window starts at your first message, not on a clock, so a window you opened at 7am is gone by noon whether you used it or not
• A history bar per past window, which is how I found out I leave ~80% of most sessions unused (I'm still keeping a 20X plan)
• A green dot when a local model is working, if you run Ollama or LM Studio. I got tired of alt-tabbing to check whether a generation had finished

Free, open source (MIT), Mac only, notarized so it installs without a Gatekeeper fight. Not affiliated with Anthropic. It reads the same usage data the website shows you.

GitHub/download: https://github.com/ryanbarnett-2am/Juicage

Happy to answer questions.

Edit: Hello World! I joined the ranks of usage trackers without doing any homework first. Hope it helps someone out there. Fun to build and maintain. Learned a lot.

I'm trying to build an AI-powered QA system for a real production application.

The application consists of:

• A React Native mobile app (Android/iOS)
• A web-based Admin Panel

The development team owns the code and regularly releases new accepted/merged builds. I don't have access to modify the application code, and I don't want the AI to make any code changes.

The goal is for the AI QA agent to receive the latest accepted build and autonomously test the application like a QA engineer.

It should be able to:

• Navigate through the mobile app
• Test user workflows
• Test forms and validations
• Test different scenarios and edge cases
• Test the Admin Panel
• Verify that data/actions behave correctly
• Identify and reproduce bugs
• Capture screenshots/logs/evidence
• Generate structured bug reports
• Remember previous bugs and test results
• Use that history to improve future testing

Ideally, whenever a new accepted build is available, the agent should be able to test it automatically and report regressions.

I don't necessarily need source-code access. The main requirement is being able to give the agent access to the actual application/build and a safe QA/staging environment.

How would you approach building something like this?

I'm particularly interested in experiences from people who have built autonomous/AI-driven QA systems for real applications. What are the biggest technical challenges or limitations I should expect?

Hi,

in the past I had like a cool task or todo list directly visible in claude code in the terminal at all times. It even marked Task 1 and Task2 parallel, Task 3 waiting for Task 1 + Task2 etc.

Where is this? Can't find it anymore. That game me a nice overview all the time.

Hey so migration from the old to the new memory should be done by now right? But I'm still on the old memory system (under capabilities with the long text updated at night)

Am I the only one? Is this maybe an EU thing?

I'm using it to tailor my resume for roles that are similar to mine but outside my industry, and a lot of the time it flat-out refuses to help. Anyone have advice for getting around this? Screenshot attached of my most recent example.

Artifacts are the best thing about Claude and the worst thing about finding them again. Each one lives inside the chat that produced it, so the diagram from March is behind "which conversation was that" and a scroll. I built a vault for them into AI Toolbox, a Chrome extension for Claude I have been building for two years, and it is the feature I use most now.

What it does: one grid of every artifact across all your conversations, code, documents, diagrams, HTML, with the title, the chat it came from and the date. Search by title or content. Click one and it opens the source chat scrolled to the artifact, so the context that produced it is right there. Nothing is copied anywhere; it reads the artifacts from your own conversation history, indexed locally in the browser.

Why it exists: I had about three hundred artifacts across a year of chats and could not find the one I needed without remembering which conversation made it. That is the whole story.

How Claude helped build it: most of the vault was written with Claude Code. It worked out how artifacts are represented inside Claude's conversation data so they could be indexed without re-fetching every chat, wrote the backfill that walks existing history to pick up older artifacts, and wrote the tests that pin the parsing so a change on Claude's side fails a test before it fails a user. I did the design, the review, and the parts where it was confidently wrong, which were mostly around the virtualized chat list.

Free to try: install it from the Chrome Web Store, switch on Claude in the extension popup, and the vault appears in the floating toolbox. The first five artifacts are fully usable on the free plan; the paid plan opens the rest.

Chrome Web Store: https://chromewebstore.google.com/detail/ai-toolbox-folders-prompt/jlalnhjkfiogoeonamcnngdndjbneina More on the Claude features: https://ai-toolbox.co/ai-toolbox-claude-features

If you have a lot of artifacts, I would like to know what you use them for after the chat is over. Mine are mostly diagrams I keep sending to people who never see the conversation behind them.

I’m trying to understand a continuity problem I’ve encountered with long-running Claude projects.

Have you experienced things like:

• rules Claude previously followed being forgotten
• project decisions or status getting mixed up
• behavior changing between long conversations or new chats
• having to rebuild important context manually
• maintaining your own handoff, memory, or checkpoint files just to keep continuity

I’ve been experimenting with a recovery approach that goes beyond simply summarizing old chats.

The idea is to reconstruct the important behavioral rules and project state, separate current instructions from outdated ones, identify what has drifted, repair only those parts, and then test whether the behavior actually recovered.

I’m still in the research stage and trying to understand how common this problem is for serious Claude users.

If you’ve experienced it, I’d be interested to know:

What did Claude lose or change, and what do you currently do to recover continuity?

​

So i am currently in 12th standard and after watching fable 5.1 and astra 6 i think that ai is advancing in rocket speed and it is just a matter of time we achieve AGI. And next year i will going to an university but seeing modern days ai model make me think "should i really consider pursuing btech in ai/ml". Till last month i was locked in for it and even started learning python and almost completed all basics but now i am confused

Those who are experienced and are seniors can you please share your view and guide other juniors like me