memory-forge
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8,183 skills indexed with the new KISS metadata standard.
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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.
2. 算法 链表翻转 异或取数组中的不同数
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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.
Bidirectional markdown ↔ SQLite conversion with column limit protection and smart section extraction. Import with Python, query with sqlite3.
**Zero-cost webhook infrastructure for autonomous AI agents**
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This skill teaches a coding agent how to use the `dynantic` library for interacting with Amazon DynamoDB.
This project is a Single Page Application (SPA) built with Svelte 5, designed for static site publishing.
**Single-group layout (default):**
Multilingual leaderboard app (Astro + Cloudflare D1) for tracking player points and penalties.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Actameleon is a Vue.js 3 theatrical script reader/rehearsal application. It displays play scripts organized by Acts and Scenes, allowing actors to practice lines with features like actor filtering, text-to-speech, and self-testing mode.
`services/` hosts all runtime microservices, including FastAPI backends (`budapp`, `budcluster`, `budsim`, `budmodel`, `budmetrics`, `budnotify`, `ask-bud`, `budeval`), the Rust gateway (`budgateway`), and Next.js frontends (`budadmin`, `budplayground`). Shared automation lives in `scripts/`, infras
**scida** is a Python library for scalable analysis of large scientific datasets, primarily targeting astrophysics simulations (particle-based cosmological simulations) and observational data. It provides a unified interface to load, analyze, and process big data using **dask** for parallel/lazy com
generic skill
**Load this reference when:** creating or editing skills, before deployment, to verify they work under pressure and resist rationalization.
This guide provides a comprehensive overview of the Remix Component API, its runtime behavior, and practical use cases for building interactive UIs.
generic skill
This document provides guidelines for AI agents working on this codebase.
Guide for AI agents working in this repository.