Best AI Skills for Workflow Automation
The best AI skills for automating repetitive tasks. Workflow automation, batch processing, data pipelines, and task scheduling skills.
π All 30 Skills
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment,
productivityWrite, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating o
codeExpert assistant for developing AEM components using HTL, Tailwind CSS, and Figma-to-code workflows with design system i
designMeta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao
dataOrchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages mult
codeAudits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Ge
dataWorkflow automation system for Claude with a group of useful plugins, agents, and skills. Automates task-to-production w
productivityAI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI,
dataBundles 80+ productivity skills: Jira/Notion/Trello workflow optimization, sales scripts and patterns, customer support
productivityCreate a structured, automated daily news report that scrapes multiple high-quality sources, filters for relevance and q
productivityPrompt engineering for code generation, multi-agent coordination, skill authoring standards, workflow automation, and qu
codeComplete copywriting workflow: context gathering, copy brief locking, structured page frameworks, and A/B testable alter
writingAI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipeli
dataMulti-agent orchestrated approach to building production ML pipelines covering the entire lifecycle: data engineering, f
learning6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipel
codeMake any repo AI-ready β analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue te
dataAI QA engineer agent (Ivy). Use when: testing features, running E2E tests, playtesting, filing bug reports, writing test
productivityBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creat
codeAutomate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for cu
productivityAutomate Amplitude tasks via Rube MCP (Composio): events, user activity, cohorts, user identification. Always search too
productivityAutomated end-to-end UI testing and verification on an Android Emulator using ADB.
codeOrchestrate multiple Antigravity skills through guided workflows for SaaS MVP delivery, security audits, AI agent builds
productivityAPI documentation workflow for generating OpenAPI specs, creating developer guides, and maintaining comprehensive API do
codeAPI security testing workflow for REST and GraphQL APIs covering authentication, authorization, rate limiting, input val
codeExpert agent for integrating Apify Actors into codebases. Handles Actor selection, workflow design, implementation acros
codeArch Linux specialist focused on pacman, rolling-release maintenance, and Arch-centric system administration workflows.
codeGuidance for Arch Linux administration, pacman workflows, and rolling-release best practices.
codeCreates and manages annotation configs (categorical, continuous, freeform label schemas) and annotation queues (human re
codeHandles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans
codeCreates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers experiment CRUD, ex
data