agentdb-state-manager

Dependency management guidelines for Jarvy - crate selection criteria, feature flag best practices, version management, security auditing with cargo-audit and cargo-deny.

Security best practices and guidelines for the Jarvy CLI codebase - a cross-platform development environment provisioning tool that executes system commands with elevated privileges

Patterns for multi-agent coordination, task decomposition, handoffs, and workflow orchestration. Best practices for building and managing agent systems.

This skill allows product managers and founders to bypass the traditional "design-to-engineering" bottleneck by acting as a "generative lead" who directs AI agents to build, deploy, and maintain softw

Comprehensive guide for building AI workflows, agents, and workforce systems with AgenticFlow. Use when designing workflows with various node types, configuring single agents, or orchestrating workforce collaboration patterns.

Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.

Patterns and architectures for building AI agents and workflows with LLMs. Use when designing systems that involve tool use, multi-step reasoning, autonomous decision-making, or orchestration of LLM-driven tasks.

Write effective AGENTS.md files for AI coding agents.

Guide for using and supporting the AGENTS.md standard in VS Code. Use this when asked about AGENTS.md, custom instructions, or repo-level AI agent configuration.

Link a project to a GitHub repository. Requires authentication

Apply agile development practices. Use when planning sprints, running ceremonies, or improving team processes. Covers Scrum, Kanban, and agile principles.

Comprehensive guide to Agile Scrum methodology including roles, ceremonies, artifacts, sprint planning, and best practices for iterative software development

Agno AI agent framework. Use for building multi-agent systems, AgentOS runtime, MCP server integration, and agentic AI development.

Production-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, observability, token economics, ROI frameworks, and build-vs-not decision guidance (modern best practices)

Expert-level AI system design, MLOps, architecture patterns, and AI infrastructure

AI-powered development tools configuration and usage

AI-powered issue operations via gh-models. TRIGGERS - issue summarization, auto-labeling, issue insights.

Embedding/vector caching for AI cost optimization

ai-collaborate-teaching

Synchronize and update Claude Code and GitHub Copilot development tool configurations to work similarly. Use when asked to update Claude Code setup, update Copilot setup, sync AI dev tools, add new skills/prompts/agents across both platforms, or ensure Claude and Copilot configurations are aligned. Covers skills, prompts, agents, instructions, workflows, and chat modes.

Navigating the regulatory landscape and ethical frameworks for responsible AI development and deployment.

Chat endpoints, embeddings, RAG workflows, vector search

Production LLM engineering skill. Covers strategy selection (prompting vs RAG vs fine-tuning), dataset design, PEFT/LoRA, evaluation workflows, deployment handoff to inference serving, and lifecycle operations with cost/safety controls.

A complete end-to-end framework for non-technical product managers to build and ship software using AI coding agents. Use this when starting a side project, building a prototype, or automating internal tools without an engineering team.

AI-native product building shifts the Product Manager’s role from writing requirements for others to directly directing an AI agent to build the software. This approach reduces development time from m

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Protocolo de autodiagnostico contra os 5 problemas mais comuns da IA ao programar. Detecta overengineering, codigo duplicado, reinvencao da roda, falta de documentacao e arquivos monoliticos. Use SEMPRE antes de implementar, ao planejar mudancas, quando criar funcoes novas, ao escrever codigo, para revisar implementacoes. Palavras-chave - simples, duplicado, repetido, existe, separar, modular, documentacao, complexo, refatorar, engenharia demais, roda, reutilizar.

A framework to assess and integrate AI into your product strategy by mapping core customer problems to AI capabilities. Use this when your industry is facing a major technology shift, when prioritizing an AI roadmap, or when deciding between augmenting existing features vs. building new AI-first solutions.

Help users define AI product strategy. Use when someone is building an AI product, deciding where to apply AI in their product, planning an AI roadmap, evaluating build vs buy for AI capabilities, or figuring out how to integrate AI into existing products.

Automates AI briefing preparation and technology research. Use for regular updates on AI trends, tools, and models relevant to the job search.

Audit AI systems for safety, bias, and responsible deployment

Plan AI safety measures including alignment, guardrails, red teaming, and regulatory compliance (EU AI Act, NIST AI RMF).

Vercel AI SDK v6 development. Use when building AI agents, chatbots, tool integrations, or streaming applications with the ai package.

ai-sdk-agents

Automatically applies when securing AI/LLM applications. Ensures prompt injection detection, PII redaction for AI contexts, output filtering, content moderation, and secure prompt handling.

Guide for designing effective tools for AI agents. Use when creating tools for custom agent systems or any AI tool interfaces. Provides principles for tool naming, input/output design, error handling, and evaluation methodologies that maximize agent effectiveness.

Expert guidance for building AI-powered workflows with n8n, Zapier, and custom orchestration systems. Use when automating workflows, integrating AI agents, or building no-code/low-code automation.

aico-backend-implement

aico-frontend-implement

Generic AIOps (AI for IT Operations) patterns and best practices for 2025. Provides comprehensive implementation strategies for intelligent monitoring, automation, incident response, and observability across any infrastructure. Framework-agnostic approach supporting multiple monitoring platforms, cloud providers, and automation tools.

Guia para integrar con el servicio de parsing de documentos Airparser via API, webhooks y Make.com. Usar cuando se configuren inboxes, esquemas de extraccion, o flujos de automatizacion para procesamiento de recibos.

PM Airtable data model reference. Use when creating tables, querying structure, or understanding relationships between Domain, Subdomain, Capability, Entity, Requirement, and BacklogItem tables.

Azure Kubernetes Service Automatic mode GA 2025 features including Karpenter, auto-scaling, and zero operational overhead

Track and manage album ideas - brainstorming, planning, status tracking

alert-system

Define alerts, escalation, and incident response.

| Atributo | Valor |

alerts