open-meteo-skill
|
Explore
35,363 skills indexed with the new KISS metadata standard.
|
Expert in email content extraction and analysis. **Use whenever the user mentions .eml files, email messages, says "Extract email information", "Using the email information", or requests to extract, parse, analyze, or process email files.** Handles email thread parsing, attachment extraction, and converting emails to structured markdown format for AI processing. (project, gitignored)
Smart PRD generator with TaskMaster integration. Detects existing PRDs and offers execute/update/replace options. Generates comprehensive technical PRDs optimized for task breakdown, validates with 13 automated checks, and optionally executes tasks autonomously with datetime tracking and rollback support. Use when user requests "PRD", "product requirements", or mentions task-driven development. Default: PRD generation + handoff to TaskMaster. Optional: autonomous execution with 4 modes.
Calculate monthly COGS, cost percentages, and manager bonuses (COGS + Top Line) using NET SALES for accuracy and detailed inventory data for restaurant locations.
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).
Refactor HTML/TSX files to use existing UI components, DaisyUI classes, and semantic colors. Use when (1) refactoring React/TSX page components to use reusable UI components, (2) replacing raw HTML elements with component library equivalents, (3) converting primitive Tailwind colors to semantic DaisyUI colors, (4) extracting repeated styling patterns into components.
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.
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.
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.
2. 算法 链表翻转 异或取数组中的不同数
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 repository contains the Minnesota Conciliation Court Case Agent, a FastAPI
- [Claude](CLAUDE.md)
- `frontend/`: Vite + React app. Entry in `src/main.jsx`, UI in `src/App.jsx`, styles in `src/styles.css`, config defaults in `src/config.js`, API helpers in `src/api/client.js`, and token helpers expected in `src/lib/token.js` (imported by `App.jsx`).
=== foundation rules ===
This file provides guidance for agents working within this repository, which is structured as a "Self-Correcting Coding Agent Team." This team of specialized AI agents collaborates to develop, review, test, and debug code in an iterative and self-improving workflow.
> **For**: GitHub Copilot, OpenAI Codex, and other AI coding assistants
DOCUMENT METADATA
Web utility to import Statement of Work (SOW) documents into ScopeStack. Users upload Word/PDF files, AI extracts services/subservices, users review/edit mappings, then export JSON for ScopeStack API.
**For AI Coding Agents** — Entry point for working with this codebase.
This file provides guidance to agents when working with code in this repository.
Overview
This repository is designed to be maintained by AI coding agents.