u/heisdancingdancing

This idea was born during the Opus 5 era (please, never again), but it's still useful today (I use it dozens of times a day as a freelance consultant).

It's entirely AI native, so you don't have to do anything, your agent handles it. It grows with you as you use it, and you can even create custom domains, i.e. reddit comments, texts to family members (jk).

You teach it by simply sending it the edited version (what you sent irl) and it learns implicitly from that. Your agent makes calls to the MCP with the domain, recent message history, extra context, and even who it's being sent to. Ownhand handles all of it.

I'm wondering how you guys handle this issue; I'd love to hear your approaches. I've tried skills before, but it's just really bad at it, even with Opus 5.5.

This idea was born during the Opus 5 era (please, never again), but it's still useful today (I use it dozens of times a day as a freelance consultant).

It's entirely AI native, so you don't have to do anything, your agent handles it. It grows with you as you use it, and you can even create custom domains, i.e. reddit comments, texts to family members (jk).

You teach it by simply sending it the edited version (what you sent irl) and it learns implicitly from that. Your agent makes calls to the MCP with the domain, recent message history, extra context, and even who it's being sent to. Ownhand handles all of it.

I'm wondering how you guys handle this issue; I'd love to hear your approaches. I've tried skills before, but it's just really bad at it, even with Opus 5.5.

What it does:
- Shows what people say in big words on screen, as they talk. You can make the text very large.
- Works in Airplane Mode, or without cell service. Nothing leaves the phone, and there's no account.
- Shows who is talking, and picks up names when people introduce themselves.
- Goes back and fixes words a few seconds later, once the sentence makes sense.

The other apps out there are predatory and are tied to the cloud, I hope that this can make a difference for more people who are hard of hearing. App link in the comments!

Hey everyone, I've built a little skill that lets me read MD reports (or anything really) significantly faster using RSVP (Rapid Serial Visual Presentation) speedreading. If you practice, you can read up to 6x faster than normal with this approach. All settings, including colors, fonts, speed, ramp-up, markdown tweaks, and more, are adjustable and saved across sessions.

Repo: https://github.com/jordan-gibbs/speedread-skill

Game Title: ngram

Playable Link: https://play.google.com/store/apps/details?id=n.n.ngram&pcampaignid=web_share

Platform: [Mobile](Android)

Description: ngram is a game built around common letter sequences called ngrams. Think things like "ing", "en", "olog", etc. To win a round of ngram, you must create 10 words that include the ngram anywhere in each word. You score points based on word length and rarity, and earn runes to help you discover new rare words or to give you hints for obvious words you may be missing. Save your rarest, coolest words to your lexicon, a permanent store of words and definitions that allows you to search and refer back to them at any time. Enjoy finding new words!

Free to Play Status: [x] Free to play

Involvement: I developed the entire game, including all visuals and sounds.

Over the past several weeks, I've been working on HyperResearch, a Claude Code skill harness that converts CC into the most intelligent deep research framework out there.

HyperResearch surpasses OpenAI, Google, and NVIDIA's offerings in the agentic search space based on DeepResearch Bench. It's open-source, installable with a single command, and uses your CC subscription, so you don't have to pay for OpenAI or Gemini Pro.

It uses a 16-step pipeline that creates a searchable, persistent knowledge store during each session that can be built upon in later searches. I designed it to align with the original user prompt as closely as possible, while incorporating built-in fact-checking, adversarial review, and breadth and depth-investigating capabilities.

This is a generalized framework, meaning you can use it for any large-scale research task, from developing a trading strategy for a specific stock to competitor product analysis to understanding the current state of the art in LLM architecture.

It uses crawl4ai (an open-source LLM search tool) to capture a wider breadth of information than the standard websearch tool is capable of. You can also configure authenticated sessions, meaning that LinkedIn, Twitter, etc. are now fair game for agentic search.

https://github.com/jordan-gibbs/hyperresearch