Publish versioned Markdown. Build focused streams. Give people and agents only the context they need.
Sponsor SeaweedFS via Patreon SeaweedFS is an independent Apache-licensed open source project with its ongoing development made possible entirely thanks to the support of these awesome backers. If you'd like to grow SeaweedFS even stronger, please consider joining our sponsors on Patreon .
GPT Image 2 Prompt Gallery + Agentic Skill + CLI OpenAI GPT Image 2 prompt gallery, image prompt library, agentic skill, and CLI — curated, copy-paste prompts and runnable examples for skill-capable agents. It includes reusable AI image prompts for research paper figures, posters, UI mockups, game HUDs, anime / manga, photography, typography, maps, tattoo design, and reference-image editing workflows.
Run Stable Diffusion on Apple Silicon with Core ML [\[Blog Post\]](https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon) [\[BibTeX\]](#bibtex) This repository comprises: If you run into issues during installation or runtime, please refer to the FAQ section. Please refer to the System Requirements section before getting started.
Goal: Replace the brainstorm server's vendored nodemodules with a single zero-dependency server.js using Node built-ins. Architecture: Single file with WebSocket protocol (RFC 6455 text frames), HTTP server (http module), and file watching (fs.watch).
Goal: Add spec and plan document review loops to the brainstorming and writing-plans skills. Architecture: Create reviewer prompt templates in each skill directory.
--- name: writing-plans description: Use when you have a spec or requirements for a multi-step task, before touching code --- Write comprehensive implementation plans assuming the engineer has zero context for our codebase and questionable taste. Document everything they need to know: which files to touch for each task, code, testing, docs they might need to check, how to test it.
NEVER: INSTEAD: Example: your human partner's rule: "External feedback - be skeptical, but check carefully" your human partner's rule: "You and reviewer both report to me. If we don't need this feature, don't add it." Push back when: How to push back: If you're uncomfortable pushing back out loud: Name that tension, then tell your partner about the issue you've seen.
Avoid reinventing the wheel by following these guidelines. Lessons learned from Android developers in Futurice.
P enetration testing A rtificial G eneral I ntelligence ⠀ PentAGI is an innovative tool for automated security testing that leverages cutting-edge artificial intelligence technologies. The project is designed for information security professionals, researchers, and enthusiasts who need a powerful and flexible solution for conducting penetration tests.
English | 한국어 | 中文 | 日本語 Game character voice lines + visual overlay notifications when your AI coding agent needs attention — or let the agent pick its own sound via MCP. AI coding agents don't notify you when they finish or need permission.
Some examples of code snippets that were broken pre-C++23 that are now fixed: A stacktrace is an approximate representation of an invocation sequence and consists of stacktrace entries. A stacktrace entry (represented by std::stacktraceentry) consists of information including the source file and line number, and a description field.
Local Studio is a local-first workstation for running, managing, and using self-hosted LLM backends. One machine can launch models, watch GPU/runtime state, chat with OpenAI-compatible endpoints, and run agent sessions against local or remote controllers.
Load this reference when: writing or changing tests, adding mocks, or adding cleanup/helper methods for tests. Two principles govern everything here: Strict TDD produces both naturally: a test written first and watched failing against real code has already proven it can fail, and only earns a mock when the real dependency proves slow or external.
LLMs respond to the same persuasion principles as humans. Understanding this psychology helps you design more effective skills - not to manipulate, but to ensure critical practices are followed even under pressure.
A regular expression is a pattern that is matched against a subject string from left to right. Regular expressions are used to replace text within a string, validate forms, extract a substring from a string based on a pattern match, and so much more.
--- name: finishing-a-development-branch description: Use when implementation is complete, all tests pass, and you need to decide how to integrate the work --- Core principle: Verify tests → Detect environment → Present options → Execute choice → Clean up. Announce at start: "I'm using the finishing-a-development-branch skill to complete this work." Run the project's full test suite (npm test / cargo test / pytest / go test ./...).
Goal: Refactor visual brainstorming from blocking TUI feedback model to non-blocking "Browser Displays, Terminal Commands" architecture. Architecture: Browser becomes an interactive display; terminal stays the conversation channel.
Image Credits: Ahmad Awais ⚡️ This document is a cheatsheet for JavaScript you will frequently encounter in modern projects and most contemporary sample code. This guide is not intended to teach you JavaScript from the ground up, but to help developers with basic knowledge who may struggle to get familiar with modern codebases (or let's say to learn React for instance) because of the JavaScript concepts used.
--- name: using-git-worktrees description: Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback --- Ensure work happens in an isolated workspace. Prefer your platform's native worktree tools.
We're excited to announce the release of Gin 1.12.0! This release brings new features, performance improvements, and important bug fixes.
Publish versioned Markdown. Build focused streams. Give people and agents only the context they need.
Sponsor SeaweedFS via Patreon SeaweedFS is an independent Apache-licensed open source project with its ongoing development made possible entirely thanks to the support of these awesome backers. If you'd like to grow SeaweedFS even stronger, please consider joining our sponsors on Patreon .
GPT Image 2 Prompt Gallery + Agentic Skill + CLI OpenAI GPT Image 2 prompt gallery, image prompt library, agentic skill, and CLI — curated, copy-paste prompts and runnable examples for skill-capable agents. It includes reusable AI image prompts for research paper figures, posters, UI mockups, game HUDs, anime / manga, photography, typography, maps, tattoo design, and reference-image editing workflows.
Run Stable Diffusion on Apple Silicon with Core ML [\[Blog Post\]](https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon) [\[BibTeX\]](#bibtex) This repository comprises: If you run into issues during installation or runtime, please refer to the FAQ section. Please refer to the System Requirements section before getting started.
Goal: Replace the brainstorm server's vendored nodemodules with a single zero-dependency server.js using Node built-ins. Architecture: Single file with WebSocket protocol (RFC 6455 text frames), HTTP server (http module), and file watching (fs.watch).
Goal: Add spec and plan document review loops to the brainstorming and writing-plans skills. Architecture: Create reviewer prompt templates in each skill directory.
--- name: writing-plans description: Use when you have a spec or requirements for a multi-step task, before touching code --- Write comprehensive implementation plans assuming the engineer has zero context for our codebase and questionable taste. Document everything they need to know: which files to touch for each task, code, testing, docs they might need to check, how to test it.
NEVER: INSTEAD: Example: your human partner's rule: "External feedback - be skeptical, but check carefully" your human partner's rule: "You and reviewer both report to me. If we don't need this feature, don't add it." Push back when: How to push back: If you're uncomfortable pushing back out loud: Name that tension, then tell your partner about the issue you've seen.
Avoid reinventing the wheel by following these guidelines. Lessons learned from Android developers in Futurice.
P enetration testing A rtificial G eneral I ntelligence ⠀ PentAGI is an innovative tool for automated security testing that leverages cutting-edge artificial intelligence technologies. The project is designed for information security professionals, researchers, and enthusiasts who need a powerful and flexible solution for conducting penetration tests.
English | 한국어 | 中文 | 日本語 Game character voice lines + visual overlay notifications when your AI coding agent needs attention — or let the agent pick its own sound via MCP. AI coding agents don't notify you when they finish or need permission.
Some examples of code snippets that were broken pre-C++23 that are now fixed: A stacktrace is an approximate representation of an invocation sequence and consists of stacktrace entries. A stacktrace entry (represented by std::stacktraceentry) consists of information including the source file and line number, and a description field.
Local Studio is a local-first workstation for running, managing, and using self-hosted LLM backends. One machine can launch models, watch GPU/runtime state, chat with OpenAI-compatible endpoints, and run agent sessions against local or remote controllers.
Load this reference when: writing or changing tests, adding mocks, or adding cleanup/helper methods for tests. Two principles govern everything here: Strict TDD produces both naturally: a test written first and watched failing against real code has already proven it can fail, and only earns a mock when the real dependency proves slow or external.
LLMs respond to the same persuasion principles as humans. Understanding this psychology helps you design more effective skills - not to manipulate, but to ensure critical practices are followed even under pressure.
A regular expression is a pattern that is matched against a subject string from left to right. Regular expressions are used to replace text within a string, validate forms, extract a substring from a string based on a pattern match, and so much more.
--- name: finishing-a-development-branch description: Use when implementation is complete, all tests pass, and you need to decide how to integrate the work --- Core principle: Verify tests → Detect environment → Present options → Execute choice → Clean up. Announce at start: "I'm using the finishing-a-development-branch skill to complete this work." Run the project's full test suite (npm test / cargo test / pytest / go test ./...).
Goal: Refactor visual brainstorming from blocking TUI feedback model to non-blocking "Browser Displays, Terminal Commands" architecture. Architecture: Browser becomes an interactive display; terminal stays the conversation channel.
Image Credits: Ahmad Awais ⚡️ This document is a cheatsheet for JavaScript you will frequently encounter in modern projects and most contemporary sample code. This guide is not intended to teach you JavaScript from the ground up, but to help developers with basic knowledge who may struggle to get familiar with modern codebases (or let's say to learn React for instance) because of the JavaScript concepts used.
--- name: using-git-worktrees description: Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback --- Ensure work happens in an isolated workspace. Prefer your platform's native worktree tools.
We're excited to announce the release of Gin 1.12.0! This release brings new features, performance improvements, and important bug fixes.