826 boosters for "agent" — open source, verified from GitHub, ready to install
"name": "governance", "description": "Engineering standards and code governance enforcement with parallel agent execution for code reviews, commits, and standards audits.", "name": "Will Smith",
HiveMind-Actions is a GitHub Actions prompt that enables multi-agent AI code reviews by analyzing diffs against project rules and outputting structured JSON feedback. It benefits developers who want automated, rule-based code quality checks integrated directly into their CI/CD workflows.
An MCP server agent for fetching real-time stock quotes across international markets by ticker symbol. Useful for developers building financial data integrations and educational projects exploring OpenAI API capabilities.
agentMemory provides AI agents with a persistent, searchable knowledge management system that syncs with project documentation, enabling developers to build agents with contextual memory and decision tracking across sessions.
Automates pushing branches and waiting for CI workflows to complete, providing developers with immediate feedback on build status without manual polling. Ideal for Claude Code users who want seamless CI integration in their development workflow.
A multi-agent CrewAI system for Facebook advertising campaign management that enforces comprehensive code standards, testing requirements, and documentation practices. Teams managing ad campaigns at scale benefit from structured agent-based optimization and consistent code organization.
Lár Windsurf Rules is a cursor ruleset that guides developers in building graph-based AI agents using the Lár framework with strict typing, explicit node linking, and auditable patterns. It benefits developers building complex, self-correcting agentic systems who need clear structural guidelines.
Automates creating and merging pull requests with validation checks, allowing developers to ship code changes without leaving their IDE. Essential for teams using GitHub and automated CI/CD workflows.
Markdown Agents is a framework for defining AI agents using simple markdown files with YAML frontmatter, enabling version-controlled, portable agent configuration across Claude Code and Desktop. Developers benefit from reduced cognitive load, git-native memory tracking, and predictive AI collaboration without session amnesia.
"name": "publishing-astro-websites-agentic-skill", "name": "Richard Hightower", "email": "rhightower@spillwave.com"
A comprehensive set of development guidelines and reusable agents for building AI-powered Python applications in Windsurf using Mirascope, covering patterns for LLM integration, component structure, and best practices. Developers building intelligent agents and tools in Python will benefit from these standardized patterns and pre-built components.
"name": "agentmind", "description": "Agent Self-Learning Memory System — Make AI Agents understand you better over time", "homepage": "https://github.com/Youhai020616/Agentmind",
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A specialized coding agent for VS Code extension development that enforces test-first planning before implementation. Developers building VS Code extensions benefit from its structured workflow and integrated tooling.
"description": "127-agent automated development system with Agent Teams, quality gates, Bug Council diagnostics, and autonomous execution", "name": "Multi-Agent Development Team" "homepage": "https://github.com/michael-harris/devteam",
"name": "codealive", "description": "CodeAlive context engine for semantic code search and AI-powered codebase Q&A. Enables AI coding agents to understand entire codebases beyond just open files — search across all indexed repositories, trace cross-service dependencies, discover usage patterns, and
"name": "borda-ai-rig", "description": "Production-grade Claude Code config: specialist agents, slash-command skills, and event-driven hooks for Python/ML OSS development", "source": "./plugins/foundry"
"name": "open-academic-paper-machine", "description": "Open Academic Paper Machine — Autonomous academic paper production system with idea evaluation gate and paper-vs-code audit. NEW in v6.4: /audit-paper command and audit-engine skill — static audit of a paper's empirical claims (datasets, models,
Heuristic scoring (no AI key configured).
A template-based framework for generating domain-specific AI agents on Copilot, emphasizing quality control, workflow automation, and zero hallucination through structured skill execution and multi-step verification loops.
"name": "skill-builder", "description": "Create, audit, optimize Claude Code skills. Converts bloated CLAUDE.md files into lean briefing documents plus on-demand skills, enforcement hooks, and validation agents.", "name": "Francis Meetze",
"name": "agent-recorder", "description": "Local-first flight recorder for Claude Code - captures MCP tool calls, subagents, and skills without recording prompts or chain-of-thought", "name": "Edyta Kucharska"
"name": "plan-review", "description": "Multi-perspective plan review with VP Product, VP Engineering, and VP Design for implementation plans and architecture proposals.", "name": "Will Smith",
This MCP server enables autonomous AI agents to reason more effectively through a dual-cycle metacognitive framework that combines fast intuitive reasoning with slower deliberative verification. It's designed for developers building sophisticated autonomous agents that need robust self-monitoring, loop detection, and belief revision capabilities.
