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252 boosters for "agents" — AI-graded, open source, ready to install

484 Skills443 Agents560 MCP Servers1157 Prompts
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Skill
B

openclaw-docs-sync

Syncs OpenClaw framework, ClawHub, and Skills documentation into a local searchable mirror for the QMD memory backend, enabling AI agents to access fresh, precise references during coding tasks.

by TheSethRose
skill
401
PreviousPage 3 of 11Next
CC
Prompt
C

sourcetool — Windsurf Rules

A layered backend architecture ruleset for Go/TypeScript projects that enforces clean dependency patterns (core → infra → database/permission → server) to maintain code organization and testability in internal tools. Ideal for teams building admin dashboards and CRUD applications who need consistent architectural guidance.

by trysourcetool
admin-dashboardadmin-panel
39
WS
MCP Server
B

Test Coverage Mcp MCP Server

This MCP server enables AI coding agents to analyze test coverage from LCOV files, making them coverage-aware while optimizing token usage. It's valuable for developers using Claude Desktop or Code who want to improve code quality by integrating coverage insights into their AI-assisted workflows.

by goldbergyoni
mcpmodel-context-protocol
391
CDCC
Skill
C

mailbox-cli

Mailbox CLI is a Node.js command-line tool for automating IMAP/SMTP email operations with structured JSON output, enabling AI agents and developers to programmatically manage inboxes and email workflows.

by leeguooooo
nodeai
365
CC
MCP Server
B

Mcp Browser Agent MCP Server

This MCP server extends Claude Desktop with autonomous browser automation capabilities using Playwright, enabling Claude to navigate, interact with, and extract data from web applications. Developers and AI agents building web automation workflows benefit most from this integration.

by imprvhub
playwrightbrowser-automation
3512
CDCC
Prompt
C

ai — Windsurf Rules

A structured prompt booster for Windsurf that establishes best practices for agentic workflows, covering instruction handling, task analysis, implementation verification, and a complete tech stack (Next.js, Payload CMS, TypeScript). It helps developers build reliable AI-powered applications with clear guidelines and quality standards.

by drivly
actionsagent
355
WS
Prompt
B

sample-claude-code-web-agent-on-bedrock-agentcore — System Prompt

A system prompt for AI agents using Claude on Bedrock that establishes Git/GitHub workflows with security guardrails for code commits and PR management. Useful for developers building AI-assisted coding agents that need safe, autonomous version control integration.

by aws-samples
allrules
337
CCCDCuWS
MCP Server
B

Blockscout Mcp Server

Blockscout MCP Server enables AI agents and automation tools to query blockchain data directly, including account balances, transaction history, and smart contract interactions. Developers building AI-powered blockchain applications, trading bots, and automation tools benefit from seamless blockchain data access.

by blockscout
3217
CDCCCu
Skill
C

quality

A parent skill providing code quality assurance strategies that integrates security reviews and systematic debugging for AI-assisted coding agents. Developers using Claude Code will benefit from structured approaches to identifying and fixing code quality, security, and reliability issues.

by xiaobei930
agentic-codingai-agent
28
CC
Prompt
C

symfony-mcp-server — Windsurf Rules

A Symfony package that simplifies building secure Model Context Protocol servers with real-time communication via SSE and StreamableHTTP, designed for enterprise applications. Developers building AI agents, agentic systems, or MCP-based tools in Symfony/Windsurf environments benefit from this specialized toolkit.

by klapaudius
agentic-aiagents
263
WS
Prompt
C

NexA4A — System Prompt

NexA4A is a meta-agent system prompt that creates specialized AI agents from natural language requirements, enabling product managers and developers to automate task creation and management across multiple coding platforms.

by nex-agi
allrules
253
CCCDCuWS
Skill
B

ctx-worktree

Enables AI agents to parallelize independent development tasks using git worktrees, splitting work across multiple concurrent tracks while maintaining context continuity. Ideal for teams coordinating multiple Claude Code sessions on non-overlapping features.

by ActiveMemory
agent-infrastructureai-collaboration
256
CC
Agent
D

stuck

A mandatory human escalation agent that intercepts all errors and uncertainties across other agents to ensure human oversight. Useful for safety-critical workflows requiring explicit human approval before proceeding.

by connerohnesorge
bunclaude
243
CC
Agent
C

ceo

A strategic project leadership agent that interviews users, analyzes project requirements, and assembles specialized teams by recruiting other agents. Ideal for organizations using multi-agent systems who need automated project orchestration and team coordination.

by fltman
agent
227
CC
Agent
B

Chapter 6: Agents - Intelligent Capabilities and Automation

A comprehensive tutorial chapter teaching developers how to build and deploy intelligent AI agents with tool use and automation capabilities in AnythingLLM. Ideal for engineers looking to add autonomous workflows and function-calling to their self-hosted RAG systems.

by johnxie
ai-agentsai-coding-assistant
214
CCCD
Skill
B

skill-issue

Skill Issue audits installed agent skills to provide health reports including inventory, usage tracking, version checks, and actionable recommendations. Essential for agents managing multiple skills who need visibility into ecosystem health and dependency status.

by krispuckett
skillagent
20
CC
MCP Server
C

Mcp Explorium

Heuristic scoring (no AI key configured).

by
aib2b
192
CDCCCu
MCP Server
B

Cli Agents Fleet MCP Server

A CLI tool for orchestrating AI agents at scale to analyze code repositories, manage GitHub collaborators, and conduct bulk research across multiple data sources including Notion and CSV. Ideal for developers and teams automating large-scale code analysis, data processing, and repository management tasks.

by trancethehuman
ai-agentscli
196
CDCC
Agent
C

Skill-Based Agents

Skill-Based Agents provides documentation for 6 autonomous agent skills (archon-manager, framework-orchestrator, multi-agent-architect, codex-review-workflow, design-system-architect, security-architect) that handle strategic coordination, orchestration, and governance across projects. Developers building multi-agent systems or requiring automated governance workflows benefit from understanding these reusable agent patterns.

by daffy0208
176
CC
Agent
B

Goals

Goals is a Rust-based agentic CLI that enables Claude to delegate isolated tasks to subagents via the `invoke_subagent` tool, keeping the main agent's context lean and focused. Developers building multi-step AI workflows benefit from cleaner task decomposition and reliable single-request subagent execution.

by tallesborges
agent
172
CCCD
MCP Server
C

Spotdb

Spotdb is an ephemeral data sandbox for AI workflows that provides secure, isolated database environments for agentic AI systems. It's useful for developers building AI agents and LLM applications that need safe data isolation and guardrails.

by aliengiraffe
agenticagentic-ai
162
CDCCCu
MCP Server
D

DynamicEndpoints Autogen_mcp

DynamicEndpoints Autogen_mcp enables creation and management of collaborative AI agents that solve problems through natural language interaction. Developers and AI teams benefit from orchestrating multi-agent workflows across Claude Desktop, Claude Code, and Cursor.

by DynamicEndpoints
165
CDCCCu
MCP Server
C

Liveblocks Mcp Server MCP Server

An MCP server that integrates Liveblocks real-time collaboration APIs into Claude, enabling AI agents to build and manage collaborative features like comments, presence, and document synchronization. Useful for developers building AI-powered collaborative applications.

by liveblocks
aiai-agents
159
CDCC
Agent
C

Docs & Links

Docs & Links automates documentation consistency checks, Markdown linting, and link validation to keep repository documentation in sync with actual code. Teams managing multiple projects benefit from automated enforcement of documentation quality standards.

by marclove
agent
15
CC