github-workflow-automation
AI-driven GitHub Actions automation featuring swarm-based workflow orchestration, intelligent CI/CD pipeline management, and autonomous repository maintenance.
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546 skills found
AI-driven GitHub Actions automation featuring swarm-based workflow orchestration, intelligent CI/CD pipeline management, and autonomous repository maintenance.
Shared memory and collaboration layer for AI coding agents to track actions, manage sessions, detect conflicts, and preserve project context across tools.
PyTorch Lightning skill for scalable deep learning: automates model training, multi-GPU orchestration, data pipelines, and distributed training strategies like DDP, FSDP, and DeepSpeed.
Generate high-quality images via a local ComfyUI instance. Perfect for private workflows and professional-grade AI image synthesis.
Generates llms.txt and llms-full.txt files to provide LLM-friendly documentation and project context.
Security-first auditing framework for AI-generated code. Provides multi-level protection including hardcoded secret detection, dangerous pattern identification, and comprehensive vulnerability audits for modern web applications.
Search and execute dynamic external tools via the QVeris API for real-time data retrieval, stock market analysis, and web-based tasks.
Perform automated, rule-based performance and reliability audits for React and Next.js applications, covering bundle size, waterfalls, rendering, and data fetching.
Query Microsoft 365 Copilot for workplace intelligence—emails, meetings, documents, and team communication—to ground your AI agent in organizational context.
Outputs knowledge logs capturing project structure, implicit rules, and logic gaps during sessions.
Automate sales workflows by managing deals, client communications, and meeting logistics directly through Google Workspace.
Validates Claude Code plugins against architectural standards, checking manifest files, frontmatter, and tool invocation patterns to ensure high-quality, compliant plugin development.