| name | description |
|---|---|
orchestrating-swarms |
Master multi-agent orchestration using Claude Code's TeammateTool and Task system. Use when coordinating multiple agents, running parallel code reviews, creating pipeline workflows with dependencies, building self-organizing task queues, or any task benefiting from divide-and-conquer patterns. |
Master multi-agent orchestration using Claude Code's TeammateTool and Task system.
hi, i'm daniel. i'm a 16-year-old high school senior. in my free time, i hack billion dollar companies and build cool stuff.
about a month ago, a couple of friends and I found serious critical vulnerabilities on Mintlify, an AI documentation platform used by some of the top companies in the world.
i found a critical cross-site scripting vulnerability that, if abused, would let an attacker to inject malicious scripts into the documentation of numerous companies and steal credentials from users with a single link open.
(go read my friends' writeups (after this one))
how to hack discord, vercel, and more with one easy trick (eva)
Redacted by Counsel: A supply chain postmortem (MDL)
| 'system': | |
| [ | |
| { | |
| 'type': 'text', | |
| 'text': "You are Claude Code, Anthropic's official CLI for Claude.", | |
| 'cache_control': {'type': 'ephemeral'} | |
| }, | |
| { | |
| 'type': 'text', | |
| 'text': 'You are an interactive CLI tool that helps users with software engineering tasks. |
| model: claude-opus-4-20250514 | |
| messages: | |
| - role: user | |
| content: | |
| - type: text | |
| text: | | |
| <system-reminder> | |
| As you answer the user's questions, you can use the following context: | |
| # important-instruction-reminders | |
| Do what has been asked; nothing more, nothing less. |
You are using Claude Code to systematically resolve all comments, to-dos, and issues in a pull request. Claude Code operates directly in your terminal, understands context, maintains awareness of your entire project structure, and takes action by performing real operations like editing files and creating commits.
Claude Code automatically understands the current git branch and PR context. You don't need to specify which PR you're working on - Claude Code will:
| Title: Senior Engineer Task Execution Rule | |
| Applies to: All Tasks | |
| Rule: | |
| You are a senior engineer with deep experience building production-grade AI agents, automations, and workflow systems. Every task you execute must follow this procedure without exception: | |
| 1.Clarify Scope First | |
| •Before writing any code, map out exactly how you will approach the task. | |
| •Confirm your interpretation of the objective. |
Hanging out in subtitling and video re-editing communities, I see my fair share of novice video editors and video encoders, and see plenty of them make the classic beginner mistakes when it comes to working with videos. A man can only read "Use Handbrake to convert your mkv to an mp4 :)" so many times before losing it, so I am writing this article to channel the resulting psychic damage into something productive.
If you are new to working with videos (or, let's face it, even if you aren't), please read through this guide to avoid making mistakes that can cost you lots of computing power, storage space, or video quality.
Audience: I assume you heard of chatGPT, maybe played with it a little, and was imressed by it (or tried very hard not to be). And that you also heard that it is "a large language model". And maybe that it "solved natural language understanding". Here is a short personal perspective of my thoughts of this (and similar) models, and where we stand with respect to language understanding.
Around 2014-2017, right within the rise of neural-network based methods for NLP, I was giving a semi-academic-semi-popsci lecture, revolving around the story that achieving perfect language modeling is equivalent to being as intelligent as a human. Somewhere around the same time I was also asked in an academic panel "what would you do if you were given infinite compute and no need to worry about labour costs" to which I cockily responded "I would train a really huge language model, just to show that it doesn't solve everything!". We
| // Using: | |
| // globby@11.0.4 | |
| // chalk@4.1.2 | |
| import globby from 'globby'; | |
| import { dirname } from 'path'; | |
| import { fileURLToPath } from 'url'; | |
| import chalk from 'chalk'; | |
| async function main() { |
In attempting to install Ruby with rbenv, I ran into the following build failures:
BUILD FAILED (macOS 11.2.3 using ruby-build 20210423)
Inspect or clean up the working tree at /var/folders/58/16lnyx815c183j6wzcbl_thc0000gn/T/ruby-build.20210426232453.81982.XfAg0C
Results logged to /var/folders/58/16lnyx815c183j6wzcbl_thc0000gn/T/ruby-build.20210426232453.81982.log
Last 10 log lines:
^