| name | description | user_invocable |
|---|---|---|
semantic-search |
Search the vault using semantic query expansion and intelligent result ranking. Use when the user asks questions about vault contents, searches for topics, or needs to find related notes. |
true |
Search using LLM-powered query expansion and intelligent result synthesis. No vector database required.
| 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.
| name | description | allowed-tools |
|---|---|---|
ast-grep-search |
Syntax-aware code searching that understands code structure rather than just text patterns. Always prefer ast-grep than grep for code searches. |
Read, Grep, Bash(ast-grep:*), Bash(sg:*) |
ast-grep allows searching code based on its Abstract Syntax Tree (AST), enabling syntax-aware pattern matching. It is ideal for finding function calls, method invocations, variable declarations, and other code structures while respecting language syntax.
The command-line environment on macOS is experiencing a renaissance in 2024–2025. Beyond the built-in Terminal.app, a wave of modern terminal emulators and related tools are vying for attention – especially among developers, DevOps engineers, and power users often dubbed the “cool kids.” This report explores the coolest terminal/emulator tools for macOS in 2024–2025 and compares them, including how they stack up against resource monitoring tools like btop. We’ll survey which terminal emulators and CLI tools are gaining traction, delve into each tool’s features and differentiators, discuss what makes them trendy, and consider their target users and platform support. We’ll also examine strengths and trade-offs (performance, resource usage, complexity, cost, etc.), and where a tool like btop fits in. Finally, we present case studies of a few trend-setting terminals, and give recommendations for Mac power-users choosing a terminal setup in 2025 – including when to augment a terminal with
Some notes on technical design documentation practices such as RFCs, ADRs, decision logs, and related approaches for software projects.
SolanaForge is a browser-based AI-powered IDE for building, testing, deploying, and managing full-stack Solana applications. The platform uses LLMs like OpenAI, Claude, Gemini, and Grok to generate, maintain, and deploy smart contracts, backends, and frontends — tightly integrated into a seamless Web3 developer experience.
IMPORTANT: This comprehensive setup will transform any iOS project into a fully automated, context-aware, self-maintaining Claude Code environment. This prompt is designed specifically for Claude Code (claude.ai/code) users.
Before starting, verify these tools are installed:
TL;DR
This talk, delivered at an AI engineering conference, emphasizes the rapid evolution of AI engineering from simple GPT wrappers to complex, multidisciplinary applications. The speaker highlights the conference's role in tracking this progress, fostering innovation (e.g., MCP protocol adoption), and moving the field from demos to production. The core thesis posits that AI engineering is at a pivotal "standard model" formation stage, similar to early physics or traditional software engineering (ETL, MVC). The speaker then proposes several candidate standard models: the updated LLM OS (2025), the LLM SDLC (emphasizing value in later stages like evals and security), and various approaches to building effective agents. Critically, the speaker argues for shifting focus from arguable terminology (e.g., "agent" vs. "workflow") to the practical ratio of human input to valuable AI output. He introduces his own SPAED model (Sync, Plan, Analyze, Deliver, Evaluate)
Some notes, references, and resources on tools, libraries, frameworks, and concepts for building, testing, and running algo / quant / automated trading systems and strategies.
TL;DR GPT-5 is presented as OpenAI's latest and most capable "AI system," excelling particularly in STEM subjects like coding, math, science, and research. The review showcases its impressive ability to generate complex, interactive HTML applications from single prompts, including simulations (beehive, fluid dynamics, ray tracing), games (3D racing), and practical tools (CRM dashboard, Photoshop clone, video editor, meditation guide). It also demonstrates strong research and information synthesis capabilities, especially in health-related queries, and a significantly reduced hallucination rate compared to previous models. While it shows minor flaws in some generated UIs and image consistency, GPT-5 consistently ranks #1 across various independent benchmarks for coding, creative writing, and overall performance, offering competitive pricing. The video concludes by highlighting the accelerating pace of AI development, with new state-of-the-art models emerging every few weeks.
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