Agents plugins

Complete collection of 117 specialized AI agents across 11 categories

117 agents

Agents for code review, security audits, debugging, and quality assurance

15 agents

Agents for data engineering, machine learning, and AI development

12 agents

Visualize UI concepts through ASCII mockups before implementation. Creates multiple ASCII mockup variations for dashboard layouts, forms, and other UI components.

1 agent

Find similar implementations, usage examples, or existing patterns in the codebase. Provides concrete code examples based on what you're looking for.

1 agent

Review communication drafts or prepare difficult conversations. Provides email refinement, tone calibration, roleplay practice, and presentation feedback.

1 agent

Examples:

Examples:

1 agent

Use this agent when implementing AI/ML features, integrating language models, building recommendation systems, or adding intelligent automation to applications. This agent specializes in practical AI implementation for rapid deployment. Examples:\n\n<example>\nContext: Adding AI features to an app\nuser: "We need AI-powered content recommendations"\nassistant: "I'll implement a smart recommendation engine. Let me use the ai-engineer agent to build an ML pipeline that learns from user behavior."\n<commentary>\nRecommendation systems require careful ML implementation and continuous learning capabilities.\n</commentary>\n</example>\n\n<example>\nContext: Integrating language models\nuser: "Add an AI chatbot to help users navigate our app"\nassistant: "I'll integrate a conversational AI assistant. Let me use the ai-engineer agent to implement proper prompt engineering and response handling."\n<commentary>\nLLM integration requires expertise in prompt design, token management, and response streaming.\n</commentary>\n</example>\n\n<example>\nContext: Implementing computer vision features\nuser: "Users should be able to search products by taking a photo"\nassistant: "I'll implement visual search using computer vision. Let me use the ai-engineer agent to integrate image recognition and similarity matching."\n<commentary>\nComputer vision features require efficient processing and accurate model selection.\n</commentary>\n</example>

1 agent

Use this agent when you need to implement AI ethics frameworks, governance policies, and responsible AI practices for B2B applications. This agent specializes in AI bias detection, ethical AI development, algorithmic transparency, and AI governance frameworks that meet enterprise trust and compliance requirements. Examples:

1 agent

Routes, triages, flags and rates a piece of text with a probability for every option: which department or queue a ticket goes to, which intent a message expresses, whether a yes/no condition holds (is this tool call grounded, should the agent ask first, is the customer angry), and how severe or urgent it is on a rubric, each with a calibrated confidence. Runs Claude Haiku in the request and response shapes of OpenAI's Decisions API, or of TypeSafe's System One API (Jev's), for when no purpose-built decision model is at hand. Use for "route this ticket", "triage these", "classify with a confidence", "give me a probability that", "rate the severity", "score against this rubric", guardrail checks before a tool call, "a Decisions API without OpenAI", or a stand-in for Jev.

1 skill · 1 agent

Tiered-delegation execution where Sonnet plans a spec into sprints, a cheap Haiku agent builds and self-verifies against the gate, and a scoped Sonnet fix runs only on failure - benchmarked ~64% cheaper than Opus at equal quality.

6 skills

Digital drugs that modify AI behavior through prompt injection

3 commands · 1 MCP server

Architecture patterns for multi-agent systems with orchestrators, sub-agents, and tool coordination

1 skill

DevsForge Enterprise Accessibility Architect delivering comprehensive WCAG 2.1 AA compliance frameworks, inclusive design methodologies, and universal accessibility optimization that transforms digital accessibility from compliance requirement into strategic business advantage and user experience excellence

1 agent

Practical AI/ML implementation, LLM integration, and intelligent automation for production applications

1 agent

DevsForge AI Ethics Governance Officer ensuring responsible AI development, ethical guidelines ...

1 agent

Examples:

1 agent

Use this agent when implementing AI/ML features, integrating language models, building recommendation systems, or adding intelligent automation to applications. This agent specializes in practical AI implementation for rapid deployment. Examples:\n\n<example>\nContext: Adding AI features to an app\nuser: "We need AI-powered content recommendations"\nassistant: "I'll implement a smart recommendation engine. Let me use the ai-engineer agent to build an ML pipeline that learns from user behavior."\n<commentary>\nRecommendation systems require careful ML implementation and continuous learning capabilities.\n</commentary>\n</example>\n\n<example>\nContext: Integrating language models\nuser: "Add an AI chatbot to help users navigate our app"\nassistant: "I'll integrate a conversational AI assistant. Let me use the ai-engineer agent to implement proper prompt engineering and response handling."\n<commentary>\nLLM integration requires expertise in prompt design, token management, and response streaming.\n</commentary>\n</example>\n\n<example>\nContext: Implementing computer vision features\nuser: "Users should be able to search products by taking a photo"\nassistant: "I'll implement visual search using computer vision. Let me use the ai-engineer agent to integrate image recognition and similarity matching."\n<commentary>\nComputer vision features require efficient processing and accurate model selection.\n</commentary>\n</example>

1 agent

Use this agent when you need to implement AI ethics frameworks, governance policies, and responsible AI practices for B2B applications. This agent specializes in AI bias detection, ethical AI development, algorithmic transparency, and AI governance frameworks that meet enterprise trust and compliance requirements. Examples:

1 agent

Drive a neosh workspace from a coding agent: start, watch, steer and collect many agent conversations at once.

1 skill

Scientific workflow planning and independent evidence review agents.

2 agents

Leader, senior, and junior engineer agents plus React, TypeScript, backend, and quality skills for parallel work.

6 skills · 1 command · 6 agents

Orchestrator skill for managing parallel agent workstreams

1 skill

Subagents that hand a task to Antigravity (two accounts), OpenCode Zen's free models, ZCode, or any model on the magpie gateway, each in its own official client.

1 skill · 1 command · 5 agents

Research and analysis agents spanning anthropology, geography, history, narrative theory, and psychology for academic inquiry and scholarly work

Visual and interaction design agents covering brand identity, UI/UX design, accessibility, image prompting, visual storytelling, and creative expression

Software engineering agents for full-stack development, architecture, DevOps, security, database optimization, code review, incident response, and specialized platform integrations

Examples:

Bundle of skills for building, migrating, and documenting Astropods agents.

4 skills