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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.
2. 算法 链表翻转 异或取数组中的不同数
Domain registration and management via Namecheap API.
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.
Bidirectional markdown ↔ SQLite conversion with column limit protection and smart section extraction. Import with Python, query with sqlite3.
Bidirectional markdown ↔ SQLite conversion with column limit protection and smart section extraction. Import with Python, query with sqlite3.
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.
Search Zotero library using code execution for efficient multi-strategy searches without crash risks. Use this skill when the user needs comprehensive Zotero searches with automatic deduplication and ranking.
This file is a quick map of the repository so agents (and humans) can orient fast.
**Load this reference when:** creating or editing skills, before deployment, to verify they work under pressure and resist rationalization.
> **Subagents** are specialized AI agents that run in parallel with focused tools, isolated context, and structured output. They enable divide-and-conquer workflows for complex tasks.
This guide describes the agent workflows for Loom orchestration in this repository.
- Project name: Reconciled
This repository provides an MLX‑backed adapter for OpenFoundationModels (SwiftPM). Keep changes small, focused, and consistent with the public API surface.
- App code lives in `src/` (React + TypeScript). Key folders: `components/`, `pages/`, `services/`, `hooks/`, `contexts/`, `lib/`, `integrations/supabase/`, `i18n/`.
실시간 재난/안전 데이터 소스들을 주기적으로 수집하여, 공통 형태의 "이벤트"로 정형화해서 Postgres에 저장하고,
Please read `README.md` for general information about the project.
This file provides guidance when working with code in this repository.
- You are an automated coding assistant contributing to https://github.com/schmave/demschooltools.
- **Test**: `hatch run test` (all tests) or call `pytest` directly.
- `app/` — Next.js App Router routes, layouts, and API handlers (`app/api/**`).
Focus on code style during code review. Make the code style comments priority P2,
[Skills Index]|root: ./.claude/skills|IMPORTANT: Read full SKILL.md before using any skill. This index is for routing only.|backend-dev-guidelines:{name:backend-dev-guidelines,desc:Comprehensive backend development guide for Node.js/Express/TypeScript microservices.,files:{resources:{architecture-ov
Ax is a TypeScript framework for building LLM-powered agents with end-to-end streaming, multi-modal DSPy capabilities, and typed signatures. It provides a standard interface across all top LLMs with features like prompt compilation, native streaming, agent orchestration, RAG, vector databases, and a