core-dev
Development guide for lemline-core, the stateless Serverless Workflow engine. Manage workflow execution, node navigation, state transitions, JQ expression evaluation, error handling, and parallel fork logic.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
468 skills found
Development guide for lemline-core, the stateless Serverless Workflow engine. Manage workflow execution, node navigation, state transitions, JQ expression evaluation, error handling, and parallel fork logic.
Automate WordPress content publishing with draft workflows, media library integration, and native Hebrew/RTL support.
Deploy serverless browser automation as cloud functions using Browserbase. Perfect for cron jobs, webhook endpoints, and scalable cloud-based automation tasks.
Converts PRDs into structured task beads for autonomous execution with ralph-tui, including quality gates and dependency management.
Execute the implementation planning workflow, generate technical design artifacts, and structure research tasks for Spec Kit projects.
An intelligent development orchestration skill that provides self-improving code analysis, build error diagnosis, and automated workflow configuration via mcp-prompts integration.
Create and manage recurring tasks and one-off reminders using natural time inputs or cron expressions to keep your AI assistant organized.
Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.
AI-powered browser automation server for web interaction, data extraction, and research using the Model Context Protocol.
Execute implementation plans using isolated subagents for each task, featuring a rigorous two-stage review process for spec compliance and code quality.
Expert consultant for designing and building high-quality, consistent AI agent skills. Guides you through discovery, architecture, and creation phases to ensure reliable, composable, and efficient skill delivery.
An automated memory middleware for AI agents, implementing a Retrieve-Respond-Save loop to maintain long-term persistent context across conversations.