953 boosters for "Agent" — open source, verified from GitHub, ready to install
This booster lets developers quickly swap their OpenCLAW agent's personality by selecting pre-built characters from the G*BOY universe, complete with customizable tone, values, and visual avatars. It's useful for teams wanting to experiment with different agent personas without manual configuration.
"description": "Multi-model AI plan review: run any acpx-supported agent (Codex, Gemini, Kimi, Qwen, etc.) in parallel, synthesize feedback, debate contradictions", "url": "https://github.com/strml" "homepage": "https://github.com/STRML/cc-debate",
A lightweight MCP server that enables AI agents to send real-time progress updates directly to Telegram, supporting text, images, and files. Ideal for developers who want instant notifications from long-running AI tasks without polling or complex integrations.
"name": "abstract-to-concrete-design", "description": "Agentic workflow for designers — from abstract problem space to evidence-based design brief. Research, competitive analysis, and UX critique run in parallel to produce a design brief before you open Figma.", "author": { "name": "rizkiridha", "ur
A Cursor IDE rules configuration providing comprehensive development standards and best practices for LLM application development, including project structure guidelines, coding principles, and documentation conventions.
Scout is a specialized agent that rapidly locates relevant files across large codebases using parallel search strategies, helping developers navigate complex projects during feature development, debugging, and refactoring tasks.
IcoGenie MCP Server enables AI agents and Claude to programmatically generate SVG icons, allowing developers to automate icon creation in their applications and workflows.
An MCP server that integrates with the Spark AI Assets Marketplace, enabling users to search and discover agents, skills, prompts, and MCP connectors directly within Claude Desktop and Claude Code. This tool is valuable for AI developers and teams seeking to discover and leverage pre-built AI components and integrations.
A comprehensive guide to customizing Orxa agents across three methods—configuration overrides, YAML files, and custom agent creation—enabling developers to adapt agents to specific workflow needs. Ideal for teams using Claude Code or Claude Desktop who need flexible, governance-focused agent customization.
UltraThink activates a structured single-agent development methodology using linear task execution and TodoWrite planning, designed for developers building Claude-based agents who need organized, step-by-step task management.
lucid-toolkit provides guidance for efficient multi-agent coordination using schema.org vocabulary and token budget optimization, helping developers structure complex subagent invocations on Claude Code. Best for teams managing resource-constrained agentic workflows.
Windsurf Rules for app2agent provides architectural guidance and codebase conventions for a Next.js 15 backend with Supabase integration and a browser extension built with React/Vite. Developers working on this specific full-stack project benefit from structured rules that ensure consistent implementation across auth, landing, and extension modules.
Covalt provides Cursor-specific coding rules inspired by tinygrad principles, guiding developers to write clean, composable, and maintainable code through practical patterns like small functions, context managers, and helper extraction.
This skill helps developers discover and understand all installed plugins by displaying their triggers, commands, and available agents in one place. It's essential for users working with Claude Code who need to explore plugin capabilities without manual searching.
A voice-controlled multi-agent framework for spawning and orchestrating AI workers across machines via CLI, SDK, and Telegram. Useful for developers building complex distributed AI workflows.
"name": "silver-bullet", "description": "Agentic Process Orchestrator for AI-native Software Engineering & DevOps. Combines GSD, Superpowers, Engineering, and Design plugins into enforced 20-step (app) and 24-step (DevOps) workflows with 10-layer technical compliance.", "version": "0.13.2",
Augure is a proactive AI agent MCP server that integrates with Claude Desktop and Claude Code, enabling automation through Telegram, email, Docker, and scheduled tasks. It's designed for developers and power users who need an intelligent agent to automate workflows and manage integrations across multiple platforms.
A QA-focused agent that creates comprehensive test suites, identifies edge cases, and ensures code quality through systematic testing methodologies. Developers and QA engineers benefit from automated test strategy development and validation across different testing levels.
QA agent that generates pytest tests and improves test coverage for da_vinci packages, helping developers ensure code quality and reduce manual testing effort.
"name": "heor-agent-mcp", "mcpName": "io.github.neptun2000/heor-agent", "author": "mnaumov",
The ops agent automates infrastructure management, deployment, and cloud operations for DevOps teams. Developers and DevOps engineers use it to streamline CI/CD pipelines, monitor systems, and maintain production reliability.
PrismBench enables developers to create specialized LLM agents through YAML configuration for systematic evaluation of model capabilities using Monte Carlo Tree Search. Useful for ML engineers, researchers, and teams building production LLM systems who need comprehensive benchmarking and evaluation frameworks.
This MCP server validates Mermaid diagram syntax and provides grammar checking for diagram code, helping developers ensure their Mermaid diagrams are syntactically correct before rendering. It benefits software engineers, documentation writers, and anyone creating flowcharts, sequence diagrams, or other Mermaid visualizations.
Freshcontext MCP is a real-time web extraction server that provides AI agents with fresh, timestamped data from sources like GitHub, Hacker News, and Y Combinator. Developers building AI applications need current contextual information, making this especially valuable for agents requiring up-to-date web data.
