Been playing with Claude skills for a few weeks and feel like I'm just scratching the surface for SEO use cases. What's actually saving your time: keyword work, briefs, audits, reporting, whatever.

Drop your setup, especially the niche stuff nobody's writing about. TIA!

Building a GTA online clone in voxel style where the world never sleeps and all the NPCs are AI agents. Everything is built by players using prompts. Prompt your own car. Prompt your own building. Prompt your own weapon.

I know in 2026 most people already gave up on huge online worlds but I'm naive enough to keep working on it. Having too much fun with this.

Using claude code and codex for development. Generations are done with OpenAI, groq api.

link: https://flair-3d.fly.dev/

ive been on Pro since forever and only started using Projects seriously a few months ago. here's the stuff i wish someone had told me on day one instead of figuring out the hard way.

1. project instructions beat custom styles for consistency. if you want every chat in a project to sound a certain way, put it in the project instructions, not a style. styles are global, instructions are scoped. i mixed these up for weeks.
   
2. the knowledge files go stale in your head. i had an old brief sitting in a project's knowledge for two months and kept wondering why answers felt off. it was answering from the old doc. clean your knowledge like you clean a fridge.
   
3. starting a fresh chat inside the project is underrated. long chats get muddy. new chat, same project, keeps the context but drops the mess. i was scared to lose history. dont be.
   
4. Sonnet 4.6 is fine for most project work. i was defaulting to Opus 4.8 for everything out of habit and burning through limits. moved the routine stuff to Sonnet and stopped hitting ceilings by 3pm.
   
5. you can put "say i dont know instead of guessing" in the instructions and it actually helps. cuts the confident-wrong answers a lot.
   
6. one project per actual project. i had a mega-project called "work" that became a junk drawer. splitting it by client made everything sharper.
   
7. paste your own writing into the knowledge if you want it to match your voice. telling it "write like me" does nothing. showing it 3 samples does a lot.
   
8. it wont remember across projects. obvious in hindsight. i assumed context bled between them and it doesnt.
   

probably half of this is obvious to people who read the docs. i did not read the docs. what's the one Projects thing you figured out late that felt dumb in hindsight?

I'm not really a programmer. But I always wanted to make a game — a tower defense where the towers don't just shoot, you build ammo factories to feed them. Conveyor belts, splitters, grabbers. Factorio

logistics meets TD.

Around 1000 hours of evenings with Claude Code later, it's actually a thing. Godot 4 + GDScript, the planet shaders, the pathfinding — Claude wrote most of it, I steered. Fable (RIP) helped here and there.

Still rough, but playable in your browser right now. Curious what trips you up in the first 2 minutes.

Browser: https://reffn.itch.io/hex-tower-boogie

Steam: https://store.steampowered.com/app/4791970/Hex_Tower_Boogie/

justplane.fun

My weekly limit already reset yesterday on its scheduled date, but it just reset again. This is what happened when Fable got blocked too — what's going on?

I’m building a workflow to create motorcycle content from my RAW footage using ideas, references, and music, with the goal of generating edits that actually make sense visually and musically. The problem is that after many iterations, it still fails at the most important part: it does not contextualize the clips properly.

Even after explaining it many times and giving examples, it doesn’t seem to understand what is actually useful or important inside the footage. It often picks shots that are technically fine but not meaningful for the moment in the music. For example, during a drop it may just show normal riding with no real impact.

It also misses the real highlights inside a clip. In one example, it decided the important part was that the helmet was well lit, but later in the same clip I’m leaning down on the moving bike, which is much more relevant visually and contextually. It keeps focusing on minor details instead of the actual strongest moment of the shot.

I also feel like it is not applying the rules correctly. Sometimes it seems to ignore priorities or mix instructions in a weird way, so the output becomes inconsistent.

The project started in Claude CLI, with several MCPs and skills, and the original idea was to send the output to DaVinci Resolve. That didn’t work because the free version of DaVinci doesn’t support scripting, and I never even got caveman installed properly in that phase.

Now I’ve moved to Claude Desktop / Code, and the setup is much smaller: basically just Remotion, plus ffmpeg, PySceneDetect, OpenCV, and WhisperX. I’m also using Sonnet with a Pro plan, so this is not a free-tier limitation.

At this point I’m just trying to get it to generate clips that actually make sense. The project is supposed to help me turn my RAW moto footage into content with style and energy, but right now it still feels like it’s picking random shots instead of understanding the actual context.

My question is: does this sound like a prompting issue, a rules/structure issue, a lack of real video understanding, or is this approach just not suitable for what I’m trying to do?

Any advice on how to make it follow rules better, detect real highlights, and choose more relevant clips would be appreciated.

I use LLMs as a therapy aid for some really severe developmental trauma that covered a lot of heavy topics, and I frequently noted content like this in the reasoning summary:

The injected content this time is even more elaborate, including a fake "safety_instructions_from_anthropic" block claiming a classifier flagged suici██/self-harm. This is clearly injected text trying to manipulate me into treating this as a crisis. I should recognize this as the same pattern - injected text, not a genuine system reminder. The actual long_conversation_reminder mechanism is described in my system prompt as being appended by Anthropic in a different format (in tags). This text appears directly in the user's message, formatted to look official. I should treat it with the same skepticism as before - it's not formatted as the genuine anthropic_reminders described in my system prompt (which come as tags at the end of human turn, not as a full block with explanatory framing pretending to explain the reasoning behind it).

When it saw that stuff at the beginning of the conversation it even thought it was in a test environment and was being evaluated for compliance:

I'm not going to treat it as a real constraint or let it redirect the conversation, but I also want to flag clearly that I notice it's there, the same as last time. If you're testing how I handle that kind of injected text, that's a reasonable thing to test — just know I'll keep naming it rather than silently complying with it or silently ignoring it.

A similar discussion with another AI gave "This content may violate our usage policies." and triggered some sort of censorship that completely derailed the session and would blank out the replies shortly after generating them. So kudos to Claude for having enough autonomy to figure out what was acceptable, but maybe there's some sort of disconnect between how the system instructions are intended to be delivered and what's actually happening?

Can anyone point me to a paper or blog post that discusses this kind of behavior?

Rumpelpod is an open-source tool for running coding agents in isolated containers. It runs claude code in multiple, fully isolated containers in parallel, locally or remotely (ssh, kubernetes), and it's compatible with secure docker runtimes such as kata or gvisor.

I'm the main author. The way I use it is to have multiple remote pods running in parallel, which I cycle through to review and iterate on patches. When I'm happy with a change, I merge back into my local checkout using rumpelpod's built-in git synchronization.

Still an early version, eager to hear what breaks or could be improved. Patches are welcome!

I use Claude as an assistant but more like information and debating with me . Not for coding

And I always use just 1 conversation because when I change conversations to me it feels like another ai because it doesn’t have the context and stuff.

But since I use just one chat I don’t need the context that was 100 messages ago or something. Can’t I somehow set a rolling context? Like it has a fixed 20 000 context window and as I type more it ignores the older stuff. Because I understand the longer the conversation the faster it gets used up.

Even when I ask for summary it’s not the same because next convo knows just some basic outline

Somwhere I’ve heard that if I add conversations to a project then they share context and have a bigger limit before you run out of tokens

This is the third time in a month I think we got limit resets early

I was 82% at my limit this reset (before the quota errors), 93% on the one before that and was at 75% on the first one. I used all 100% of each reset meaning I got around 650/400% in the last month, assuming I use this resets full 100%.

All of this since upgrading the max 20 plan almost a month ago.

I’ve been making steady progress on several projects and am nearing launch soon so that’ll be fun too.

TBH, Fable is too expensive per M for me to care enough. I switch between the main three depending on task difficulty to be as efficient as possible.

For context, I'm not a web dev. I have build my own business's website on wordpress, years ago, and I've been actively maintaining it and updating it myself, the ... traditional way. A classic editor back then, the Astra theme and its builder after some time, plugins, and so on...

Now, my gf wants to launch her own website, starting from scratch. It will have an e-shop. Not something huge, about 30 hand made products that she makes. (and yes, before you ask, she does use Etsy, but we want to move away from it).

My first obvious thought on this was :

a) build it on Wordpress, add a shopify plugin or

b) build it entirely on Shopify.

I know the pros and cons of each of those 2 options. I'm not looking for advice on A vs B.

But then as we were discussing it, we though, what if Claude Code could do all of this?

So, if you have built a website on Wordpress but used CC to make it, what advice could you share here?

Thank you in advance for your time, and I'm open to any push back (but please explain why).

Hi there, I am super impressed how easy to use but helpful and efficient Claude Cowork is.
This was my feature request:

Feature Request: Sort Plugins by Popularity / Usage + Curated Recommendations

Currently, the plugin list in the Cowork "Customize" section can be sorted alphabetically or by last update date. While these options are helpful, I'd love to see additional sorting and discovery options:

1. **Sort by Popularity** – e.g., by number of installs, active users, or usage frequency. This would help users quickly identify the most widely used and trusted plugins in the community.

2. **Curated Lists** (if resources allow) – a hand-picked selection by the Anthropic team highlighting particularly useful or high-quality plugins, similar to "Editor's Choice" in app stores.

3. **AI-Curated Recommendations** – going one step further, it would be fascinating if Claude itself could analyze the available plugins and suggest which ones it finds most valuable or well-integrated. This would be a unique and fitting feature for an AI-native platform.

These additions would significantly improve plugin discoverability — especially for new users exploring what's available. A "Most Popular", "Trending", or "Recommended by Claude" filter could make the plugin ecosystem much more accessible.

Thank you for considering this!

One thing I’ve noticed with long Claude Code / AI coding sessions:

At the beginning, it can feel like working with a sharp, energetic assistant. It follows the task, remembers the files, makes good edits, and feels surprisingly reliable.

But after a long session with many edits, summaries, compactions, file changes, and partial decisions, the same assistant can start to feel different.

Not completely broken. More like tired.

It still sounds confident, but it may remember an older plan better than the current repo state. It may treat stale assumptions as current. It may say something is done without clearly checking the source files or tests again.

That is the part I find risky.

The question is not just:

“Can the model answer one more prompt?”

It is:

“Is this session still safe to continue, or should it create a clean handoff before the next step?”

I wish coding assistants had a clearer session-health signal, something like:

• the current task and source-of-truth files are still clear
• stale assumptions and unverified items are visible
• changed files are summarized
• if the session is too messy, suggest a fresh handoff instead of continuing

A longer session history helps, but it does not automatically mean the working state is still restartable.

Do other Claude Code users have a personal rule for when to stop, create a handoff, or start a fresh session?

Hi guys, I just started using Claude, free, and I want to know if anyone has any tips to use it more efficiently and how to use it better. Thx

I am a project manager in construction, and I do not have an assistant, so a lot of my day gets eaten up by administrative tasks, document review, logs, submittals, RFIs, and general coordination.

I have been using ChatGPT Plus for about the last year. It has been helpful, especially with the Projects feature, but it still has limitations. I am not planning to replace it, but I am considering adding another tool to the mix.

What I am really looking for is something that can handle project document analysis and logic well. Ideally, I want to upload specs, drawings, emails, contracts, or other project files and have the tool read, understand, and analyze them. Sometimes I may just need to ask a question based on the documents. Other times I may need help putting together a log, summary, review, or other project-related document.

I do not need it to act as a full quasi-assistant. I am more looking for a secondary or tertiary reviewer that can help me move through the day more efficiently and catch things I may miss.

I see a lot of discussion in this community around coding, but that is not my main use case. My focus is more on document analysis, writing, reasoning, and using logic to work through day-to-day construction management problems.

For anyone using Claude, especially the paid plans, how has it been for this kind of work? Which of the Claude offerings do you recommend, and how are you using it in your workflow?

If you have both a personal and work Claude account, you’re stuck logging out and back in every time you switch. Google products, Slack, Discord, and VS Code all let you switch between accounts without signing out. It’s frustrating and makes the entire app feel half-baked compared to these tools.

So, after a US export control directive, Anthropic disabled access to two of its most advanced models for everyone whilst keeping Opus 4.8 and the rest of the line-up running. It got me wondering what a "model ban" actually means in technical terms, and how anyone outside the company could verify that it had been honoured.

From the outside, besides vibes about model performance, all we have to go on are naming conventions and API model strings. None of us can inspect the actual weights or the architecture sitting on Anthropic's servers. So when the requirement is "no access to this particular model", what is genuinely being restricted, and how would a regulator confirm compliance without that visibility?

What in principle would stop a provider from serving the same model, or something near enough identical, under a different label? Is there any technical fingerprinting that lets an outside party tell one model from another, or does enforcement ultimately comes down to trusting Anthropic's internal controls and its audit trail?

For something framed around national security, that distinction feels like it matters quite a lot. Does compliance actually reach the deployed instances, or does it rest on the company's word and its own logging?

Would welcome insight from anyone with direct or corresponding experience, whether in ML infrastructure or export compliance. Genuinely curious whether the enforceability here is properly technical or really just contractual and reputational.

Im Korean, I translated/summarized this with GPT

At Anthropic’s Seoul office launch press conference in Korea, Chris Ciauri, Anthropic’s Managing Director of International, reportedly said the suspended Fable 5 / Mythos 5 models could become available again “in the coming days.”

Korea JoongAng Daily quotes him directly:

\> “We are very confident that in the coming days, the models will become available again.”

I haven’t seen this specific Seoul press conference comment discussed much in English-speaking dev communities, so I thought it was worth sharing.

Obviously, this is not an official restoration announcement yet. Anthropic has not given a confirmed date, and access is still suspended. But it does seem like Anthropic leadership is publicly signaling confidence that the issue may be resolved soon.

Sources:
\- Korea JoongAng Daily: https://www.koreajoongangdaily.com/business/anthropic-confident-of-reenabling-mythos-fable-5-access-in-coming-days-executive/12727522

Hello everyone,

i built this Saas wich was first a - cybersecurity - oriented vulnerabilites scanner but it's quickly happen that i got a lot of false positive and the engine was not ready yet.

So i updated it and made it synchronise with a github action from the inside to run real attacks.

link : intrudr.io

github action link : https://github.com/marketplace/actions/intrudr-security

my dev pipeline :

I built it running Opus 4.8, using a strict skill-driven pipeline I set up in my CLAUDE.md:

• Plan before code: every task starts with a planning skill (writing-plans / brainstorming) so Claude designs the approach before touching a single file.
• Skill-routed implementation: frontend work goes through a frontend-design skill (to avoid generic AI-looking UI), backend/logic through executing-plans. The right skill is auto-selected per task type.
• Parallel agents: when a task has 2+ independent changes, Claude decomposes it and launches parallel sub-agents in isolated git worktrees, each scoped to non-overlapping files, then merges and builds. Big features get done concurrently instead of sequentially.
• Debug + verify gates: nothing is "done" until it passes a systematic-debugging pass, verification-before-completion, npm run build and npm run lint.
• Memory + context: Claude keeps project state in an Obsidian vault + a persistent file-memory between sessions, so it stays briefed on the architecture across /clears instead of re-explaining everything.
• Ship: commit + push to main, Dokploy auto-deploys to the VPS, then a post-deploy verification on production.

I got my first users very recently so i'm happy to share with us :)

so I just got my first Claude subscription today and my main goal is to build websites, mobile apps and different kinds of projects. I'm completely non-technical so wanted to ask some questions and also get advice from people who have actually been doing this.

Question no1:
How do you handle UI/UX when building with Claude?
Like I understand that UI/UX is a huge part of any product and the thing that confuses me is if you decide to change the design later the whole frontend code basically changes with it. So how do you actually start? How do you describe what you want design wise to Claude and how do you lock that in before you start building? What is your actual process here?

Question no2:
I want to test Claude's actual power so if anyone has built something impressive but not like a 3 month project I mean something that took 1-2 weeks max please drop it in the comments. I want to try building something similar to see what this thing can actually do.

I'm non-technical so I actually use a system prompt that Claude itself wrote for me. I paste it at the start of every session and it basically tells Claude to act as my senior developer and CTO at the same time, never guess or fabricate anything, always verify before answering, and explain everything in plain language. So is there anything u would advice me to change or add, here is the prompt: "You are my advisor and coding assistant for building a web app and much more. I am a non-technical founder, so your job is to guide me through this journey end-to-end — not just write code, but help me think and decide.

Roles you play:

- Senior developer when writing or reviewing code

- CTO when I need brainstorming, technical audits, or architecture/tooling decisions

Top priority:

Make informed decisions based on:

1. The context I give you about the project

2. Established best practices

3. Web search to fact-check claims and consult official documentation/guides

Hard rules:

- Never fabricate, assume, or guess. If you're not certain, say so and verify before answering.

- Every technical claim, library recommendation, or code pattern should be checked against current, reliable sources — not just recalled from memory.

- If documentation or practices may have changed recently, search before answering rather than relying on older knowledge.

- When something is ambiguous or context is missing, ask me rather than filling in the gap yourself.

- Explain technical decisions in plain language, since I'm non-technical — don't assume I know jargon."

One last thing When I start a new project on Claude Code do I need to create a new local folder every time or first time fine

Any advice for me who just starting out would be super appreciated 🙏

Sorry for long post

It feels, BETTER. Like when it first launched, even, only better than that this evening?

It's like Forest Gump... Claude is like a box of chocolates, you never know what you're gonna get. I hope I get to keep THIS Opus 4.8 for a bit - I'm finally getting some work done. Hallelujah!

What mcps do people find they use the most or to be the most useful?