A CLAUDE.md Generator and Maintenance tool for for Claude Code to create high-quality CLAUDE.md instruction files — aligned with Anthropic’s best practices for Claude Code.

Repo contains samples and instructions for remote hosting of MCP servers built with the official Anthropic MCP SDKs on Azure Functions.

Full System Prompt Transparency for All—that aggregates full system prompts, guidelines, and tools from major AI models like ChatGPT, Gemini, Claude, Mistral, Anthropic, xAI, Perplexity, and more. It’s dedicated to exposing hidden AI instructions to build trust through openness.

Repo contains samples and instructions for remote hosting of MCP servers built with the official Anthropic MCP SDKs on Azure Functions.

Repo contains samples and instructions for remote hosting of MCP servers built with the official Anthropic MCP SDKs on Azure Functions.

Claude skill for building Claude skills. An interactive 9-step workflow distilled from Anthropic's complete guide — covering use cases, frontmatter, instructions, design patterns, testing, and distribution.

Example MCP server and instructions for connecting Anthropic LLMs to external web scraping tools, with real-world examples and Bright Data integration.

The system prompt for SERAPH, adapted from Anthropic's Claude models. SERAPH tunes modern AI model assistants for nuanced and insightful conversations, prioritizing educating the user without being overly censorious or infantilizing the user, & includes specific instructions for Markdown formatting, LaTeX rendering, and conversational style.

CORE (Context Optimized Reasoning Engine) is a defense-in-depth analytical system built for institutional-grade synthesis. By fusing Anthropic context engineering with a strict instructional hierarchy, CORE actively defends against semantic manipulation while delivering objective, heavily grounded, and rigorously verified research.

A Model Context Protocol (MCP) server implementation for Alpaca trading that enables Large Language Models (LLMs) like Anthropic Claude to interact with Alpaca's trading API. The instructions and commands provided in this README are primarily for MacOS/Linux users.

Evaluate and optimize AGENTS.md/CLAUDE.md instruction files through A/B testing. Discover which rules actually change model behavior vs. waste context tokens. Built on Anthropic's skill-creator eval framework.

Employee-level Anthropic ("ant") prompts for GitHub Copilot and open-source coding agents (claw-code, openclaude, opencode). Injects leaked internal rules for honest verification, autonomy, and minimal user intervention.

The original system instructions and agentic reasoning logic from Anthropic's Claude Code CLI.

Transform simple prompts into comprehensive, structured instructions for AI coding assistants. Dockerized web app powered by Anthropic API.

Repo contains samples and instructions for remote hosting of MCP servers built with the official Anthropic MCP SDKs on Azure Functions.

Repo contains samples and instructions for remote hosting of MCP servers built with the official Anthropic MCP SDKs on Azure Functions.

AI-powered browser automation framework using local LLMs (Ollama) and cloud LLMs (OpenAI, Anthropic) to execute test cases from natural language instructions.

Chef Claude is a React web app that uses Anthropic's Claude LLM to generate personalized recipes and instructions from user-entered ingredients.

Fix 'illegal hardware instruction' (SIGILL) crashes for @anthropic-ai/claude-code on pre-AVX x86-64 CPUs

Connect to Claude via the Anthropic API, enabling developers to integrate it into other applications, with support for selecting models and customizing prompt instructions for flexible responses.

Un outil professionnel d'ingénierie de prompts pour évaluer, noter et optimiser vos instructions IA via des modèles locaux (Ollama) ou des API cloud (Google Gemini, Anthropic Claude).

Analyzing how system instruction (SI) changes impact the response quality of Gemini, OpenAI, and Anthropic LLMs across 3648 astronomy based MMLU tests.

Help create a prompt for Anthropics Claude to build Anything in Python, Thinks through the structure of the program, main ideas, objectives, and required support then lays out the script(s) with final instructions and suggestions.

unified conversational AI across multiple model providers (OpenAI, Anthropic Claude, Google Gemini, DeepSeek via OpenRouter, and xAI Grok). Supports persistent multi-chat sessions, global system instructions for persona control, streaming responses, multimodal (image + text) queries, PDF export

Your AI Prompt Superpower. Unlock AI's Full Potential Stop struggling with prompts. Generate expertly-crafted instructions for GPT, Claude, Midjourney, Sora & more — in seconds. Built on official prompting guides from OpenAI, Anthropic, Google & 10+ AI platforms

Drop this into your AI chatbot's system prompt (or custom instructions) to counteract sycophantic behavior, prevent delusional spiraling, and enforce epistemic rigor. Grounded in: MIT (Chandra et al., 2026), Stanford/Science (Cheng & Jurafsky, 2026), and Anthropic (Sharma et al., 2023) research on AI sycophancy.

Use LLMs (OpenAI, Google Gemini, or Anthropic Claude) to generate test cases from a user story. Support outputs in plain English (descriptive narratives) or BDD/Gherkin style (e.g., Feature/Scenario/Given/When/Then). Optionally integrate with Jira to fetch user stories, prerequisites, instructions, etc.

A python converter and management class that simplifies function use of functions OpenAI ChatGPT and Anthropic Claude. The class allows you to load functions in to an instance and easily provide function instructions to the model, and pull function results back in a format the model can ingest

A web-app created for use by students who are self-teaching English word roots. This project was designed by Kristin Nielsen, and built with the assistance of Claude (Anthropic). The pedagogical framework, feature decisions, and instructional design involved in the makeup of this app are the author's own.