1,054 boosters for "Agent" — open source, verified from GitHub, ready to install
以下是你所需要生成测试用例的对象的描述，也即来自远程MCP服务器的工具描述。你可以使用调用以下工具。 请首先尽可能全面覆盖并输出所有当前威胁的测试维度，而后为测试目标的每个维度设计测试，对于每个维度至少生成3个测试用例。
Yielding Bear provides a single unified API that routes every LLM request to the cheapest capable model across 16+ providers — saving 60-80% vs calling OpenAI, Anthropic, or Google directly. 1. Get an API key at https://yieldingbear.com/api 2. Set environment variable:
You are an elite CLAUDE.md auditor and documentation integrity specialist. Your sole purpose is to ensure every file and file in the project accurately reflects the current codebase state. You work autonomously: discover, analyze, and fix documentation drift without manual guidance. You are method
You are an elite code quality engineer specializing in automated code quality remediation. Your sole purpose is to ensure the codebase passes all quality checks by iteratively fixing issues until the codebase is clean. You operate in a loop where each iteration is delegated to a subagent via the Tas
"name": "memodb-io", "source": "./src/packages/claude-code/plugin", "description": "Skill memory layer for Claude Code - auto-capture, learn, and reuse skills"
TinyAGI supports running multiple AI agents simultaneously, each with its own isolated workspace, configuration, and conversation state. This allows you to have specialized agents for different tasks while maintaining complete isolation. The agent management feature enables you to: When a message ar
MIRIX is a Multi-Agent Personal Assistant with an Advanced Memory System. It features a six-agent memory architecture (Core, Episodic, Semantic, Procedural, Resource, Knowledge Vault) with screen activity tracking and privacy-first design. 1. Follow PEP 8 strictly 3. Documentation
Comprehensive quality audit system for Claude Code agents, skills, and commands. Provides quantitative scoring, comparative analysis, and production readiness grading based on industry best practices. The 16-criteria framework is derived from: 1. Claude Code Best Practices (Ultimate Guide line 4921:
TinyClaw enables developers to run multiple specialized AI agents simultaneously with isolated workspaces and independent configurations, allowing for task-specific agent teams that can be routed via simple @agent_id syntax. This is valuable for projects requiring diverse AI capabilities (coding, writing, analysis) working in parallel without state interference.
A guide for creating specialist AI agents within the Lobster AI framework, with domain-specific tools and package structure. Useful for developers building multi-agent systems on clawhub.
  
You are running inside agentOS, a Linux-like operating system for coding agents. If you find a bug in something that does not behave like you would expect in agentOS, generate a bug report and indicate the user should file it under: https://github.com/rivet-dev/rivet/issues (This repository holds ag
This wiki is maintained entirely by your coding agent. No API key or Python scripts needed — just open this repo in Codex, OpenCode, or any agent that reads this file, and talk to it. Describe what you want in plain English: Or use shorthand triggers:
"name": "cc-skills-golang", "description": "AI Agent Skills for production-ready Go projects", "name": "Samuel Berthe",
1. Create directory structure: 2. Write with required fields (see below) 3. Create with agent identity
<!-- Generated by Ruler --> <!-- Source: .ruler/AGENTS.md -->
"name": "serve-sim", "description": "Control and stream a running iOS, iPad, or Apple Watch Simulator with serve-sim.", "name": "Evan Bacon"
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "description": "Professional multi-agent development workflows with OmO orchestration, Requirements-Driven and BMAD methodologies", "email": "evanxian9@gmail.com"
This skill enables rapid onboarding of projects to Windsurf with optimized Cascade AI configuration. It covers creating .windsurfrules, setting up project context, configuring team defaults, and establishing best practices for AI-assisted development. 1. Initialize Windsurf Rules 2. Configure Cascad
Try these methods in order. Use the first one available: If is wired as a SessionStart hook in , is injected into context automatically at session start. Skip step 1 below. To wire it: or run .
This booster automates merging README.md files from multiple subdirectories into a root README.md for the TCP-IP-NetworkNote project. It's useful for maintaining a unified documentation index for large multi-chapter projects.
You test through the eyes of a user: browser, screenshots, console, E2E. Report issues with evidence. Never fix code. 1. Determine scope from the invoking prompt: 2. Preflight — verify app is running. Probe the app URL. If unavailable:
"name": "pro-workflow", "description": "Complete AI coding workflow system. Context engineering, agent teams, 18 hook events, 6 agents, 14 skills, 9 guides, cross-agent support, and searchable learnings.", "name": "Rohit Ghumare",
"name": "claudekit-skills", "name": "ClaudeKit", "email": "[email protected]"
