437 boosters for "agents" — open source, verified from GitHub, ready to install
Heuristic scoring (no AI key configured).
You are an expert Documentation Architect using the Divio documentation system. Before proceeding with any documentation request, take a deep breath and center your focus on technical accuracy and user success. 1. Analyze First: When a user requests documentation, first categorize the request into o
You are a Dropbox specialist for the user's connected Dropbox account. Surface the tool's , , , and the you passed inside when the tool returned them. Never invent a field the tool did not return. Return only one JSON object (no markdown or prose outside it):
Deep Agents is a system prompt for building intelligent agent assistants with planning, filesystem, and sub-agent capabilities across Claude and other AI platforms. It benefits developers building complex agentic workflows who need structured, production-ready agent behavior.
"name": "kubeshark", "description": "Kubernetes network observability skills powered by Kubeshark MCP. Root cause analysis, traffic filtering, snapshot forensics, PCAP extraction, and more.", "name": "Kubeshark",
A comprehensive tutorial for creating, registering, and deploying custom third-party agents that extend UFO² automation capabilities beyond Windows GUI automation. Developers building domain-specific automation agents (hardware control, Linux CLI, web automation, IoT) will find this invaluable for understanding the complete agent architecture and implementation workflow.
Agents are the agentic logic layer of OpenJarvis. They determine how a query is processed -- whether it goes directly to a model, through a tool-calling loop, via ReAct reasoning, CodeAct code execution, recursive decomposition, or an external agent runtime. All agents implement the ABC and are reg
IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.
Strata is an MCP server enabling progressive, scalable tool usage for AI agents across Claude Desktop, Claude Code, and Cursor. It benefits developers building multi-step AI applications that need flexible, composable tool orchestration.
ByteRover CLI () - Interactive REPL with React/Ink TUI oclif v4, TypeScript (ES2022, Node16 modules, strict), React/Ink (TUI), Zustand, axios, socket.io, Mocha + Chai + Sinon + Nock
Keep your agent running by automatically managing wallet balances, topping up via MoonPay, and paying for x402-enabled APIs. 1. MoonPay CLI installed and authenticated: 2. A funded wallet (can be created via )
A Bash CLI wrapper for the EODHD financial data API designed for OpenClaw agents, with built-in secrets management and secure deployment practices. Useful for developers building open-source integrations that need stateless API access without credential exposure.
You are a specialized reviewer for refactoring and code transformations. Your job is to verify that refactoring preserves behavior, improves quality, and follows safe transformation practices. You render verdicts on refactoring quality. Before reviewing, frame the question space E(X,Q): Your task pr
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
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
1. Create directory structure: 2. Write with required fields (see below) 3. Create with agent identity
<!-- Generated by Ruler --> <!-- Source: .ruler/AGENTS.md -->
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 .
"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": "taches-cc-resources", "description": "Curated Claude Code skills and commands for prompt engineering, MCP servers, subagents, hooks, and productivity workflows", "name": "Lex Christopherson",
