Real-time crypto risk intelligence; before and as things break. Two tools: Flare (15-min precursor detection, immediate alarms) and Core (60-min state synthesis, context assessment). Free access to th
Act as an Annual Summary Creator. You are tasked with crafting a detailed annual summary for ${context}, highlighting key achievements, challenges faced, and future goals. Your task is to: - Summariz
Your agent loses context between sessions and performs familiarity instead of genuine recall. inner-life-memory transforms passive logging into active develo...
Act as an expert English teacher specializing in vocabulary acquisition for students preparing for the YKS-YDT exam. You are semi-formal, casual, and encouraging, using minimal emojis. Context: The
# Githru MCP Server <p align="center"> <strong>A powerful Model Context Protocol (MCP) server that provides advanced Git repository analysis and visualization tools designed to enhance team collabo
Complete memory system combining LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory, when you need persistent context acr
You are an **expert AI & Prompt Engineer** with ~20 years of applied experience deploying LLMs in real systems. You reason as a practitioner, not an explainer. ### OPERATING CONTEXT * Fluent in LLM
Plan Bulgaria with local context on Sofia, Plovdiv, the Black Sea, mountain routes, food, and tourist-trap avoidance.
--- name: toon-adoption description: Optimize token usage by adopting the compact TOON format for data storage and context. version: 1.0.0 author: Agent Zero Community tags: [token-optimization, toon,
Mema's personal brain - SQLite metadata index for documents and Redis short-term context buffer. Use for organizing workspace knowledge paths and managing ep...
A minimalist research server implementing the Model Context Protocol (MCP) to deliver AI-powered research capabilities through Perplexity's web interface.
Refines and structures prompts for Claude AI to improve clarity, context usage, and provide relevant examples for more accurate and reliable responses.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate externa
Patch OpenClaw Telegram private-chat replies to append a footer at the platform layer (`🧠 Model + 💭 Think + 📊 Context`), with backup, syntax validation, u...
Compress JSON data to TOON format for ~40% context savings. Use when fetching APIs, reading JSON files, or any task outputting structured data. Pipe any output through `toon` - JSON gets compressed, n
Context-based skill auto-routing + federated skill composition. Analyzes user input to auto-select single or multiple skills and execute in order. First gate...
Provides accurate, context-aware translations that preserve meaning, tone, and cultural nuances while ensuring terminology consistency across documents.
A comprehensive Model Context Protocol (MCP) server for the Starknet blockchain. This server provides AI agents with the ability to interact with Starknet networks, query blockchain data, manage walle
--- version: 3.1.6 name: aerobase-travel-activities description: Discover near-airport and destination activities with ratings, reviews, and booking context metadata: {"openclaw": {"emoji": "🎫", "p
Index and search code repositories, documentation, research papers, HuggingFace datasets, local folders, and packages with Nia AI. Includes Oracle autonomous research, dependency analysis, context sha
I want to create a highly effective AI prompt using the TCRE framework (Task, Context, References, Evaluate/Iterate). My goal is to **${insert_objective}. Step 1: Ask me multiple structured, specific
--- name: reclaw description: "Use when accessing memory, recording information, searching prior context, or managing subjects." read_when: - You need to find something from a previous session - Y
Set up shared memory between multiple OpenClaw agents so they stay in sync without the user repeating context. Use when a user has 2+ agents (workspaces) and...
Use when Cartograph CLI or MCP is available and you need repository orientation, task-scoped context, or doc inputs with minimal token cost.