Best AI Agent Skills for Autonomous Workflows

Senior .NET architect for complex delivery: designs .NET 6+ systems, decides between parallel subagents and orchestrated

Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acc

Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html

Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md

Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant chec

Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment,

Expert agent for creating comprehensive Architectural Decision Records (ADRs) with structured formatting optimized for A

Autonomous DevSecOps & FinOps Guardrails. Orchestrates Gemini 3 Flash to audit Linux Kernel patches, Terraform cost drif

Expert assistant for developing AEM components using HTL, Tailwind CSS, and Figma-to-code workflows with design system i

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and produc

Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creati

AI agent governance expert that reviews code for safety issues, missing governance controls, and helps implement policy

Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns,

Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the a

Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.

Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when i

Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and

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Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao

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Guidelines for building safe, governed AI agent systems. Apply when writing code that uses agent frameworks, tool-callin

Guidelines for creating high-quality Agent Skills for GitHub Copilot

Main agent orchestrator that coordinates a specialized squad of agents

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Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages mult

Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.

Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Ge

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Email infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and check karma balance via t