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34,510 skills indexed with the new KISS metadata standard.
Memory preservation for Claude Code sessions. Use when approaching token limits, needing to /reset or /compact, switching between complex tasks, or preserving critical session state before context loss. Creates comprehensive memory dumps at /tmp/total-recall containing current state, decisions, artifacts, and next steps for seamless context restoration.
Generate high-quality synthetic datasets using statistical samplers and Claude's native LLM capabilities. Use when users ask to create synthetic data, generate datasets, create fake/mock data, generate test data, training data, or any data generation task. Supports CSV, JSON, JSONL, Parquet output. Adapted from NVIDIA NeMo DataDesigner (Apache 2.0).
2. 算法 链表翻转 异或取数组中的不同数
Use this skill when the user needs to analyze, clean, or prepare datasets. Helps with listing columns, detecting data types (text, categorical, ordinal, numeric), identifying data quality issues, and cleaning values that don't fit expected patterns. Invoke when users mention data cleaning, data quality, column analysis, type detection, or preparing datasets.
Interface with Zotero's MCP server to search and retrieve bibliographic data using advanced semantic search and multi-strategy approaches. Designed for output as a plain markdown formatted outline, suitable for pasting into Logseq. Also offers side-by-side translation of Chinese titles and abstracts for improved English language search within Logseq. Context-aware - uses agents in Claude Code, batched searches in Claude Desktop.
Domain registration and management via Namecheap API.
Use this skill when users want to generate images using OpenAI's image generation API (DALL-E or gpt-image-1), or extract text from images using OCR. Invoke when users request AI-generated images, artwork, logos, illustrations, visual content from text prompts, or need to extract text/data from images.
This file provides guidance to WARP (warp.dev) when working with code in this repository.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Pi agent config is at `~/.config/pi/agent` (symlinked to dotfiles). Extensions go in `~/.config/pi/agent/extensions/`.
This project enforces commit messages via [commitlint](https://commitlint.js.org/)
@Arb.NET/README.MD
generic skill
generic skill
generic skill
RediSearch is a Redis module providing full-text search, secondary indexing, and vector similarity search.
- **Framework**: Next.js 16.0.7 with Turbopack
This repo uses git worktrees for parallel feature development with isolated Claude contexts.
- read relavent README.md files when working in nested directories
Quarto book: "How to End War and Disease" - getting nations to sign a 1% treaty redirecting military spending to clinical trials.
Use for all code implementation tasks: new features, refactoring, multi-file edits.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
A formal representation of agent architecture: YAML specs that are machine-readable, LLM-legible, evolvable, and scale-invariant. The toolchain validates, generates, analyzes, and evolves agent architectures.
*This document is designed to be read by a Claude Code instance helping a human set up Awareness.*