long-running-agent
Framework for building AI agents that persist state across multiple context windows, enabling them to complete complex, multi-day coding tasks without losing progress or context.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
205 skills found
Framework for building AI agents that persist state across multiple context windows, enabling them to complete complex, multi-day coding tasks without losing progress or context.
Generate production-ready Stigmer McpServer YAML configurations for integrating external tools into your AI agents.
Automate Convex static site hosting integration, managing upload APIs, HTTP routing, and deployment scripts for React, Vite, and Next.js applications.
Standardize project scaffolding with pre-configured Claude Code directories, commands, and agents to ensure consistency across all your development templates.
Provision and manage Railway database services (Postgres, Redis, MySQL, MongoDB) with automated configuration and environment wiring.
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.
Run, debug, and manage DBHub tests including unit, integration with Testcontainers, and database-specific suites. Perfect for verifying code changes and troubleshooting database connector issues.
Standardize git remote configuration and issue tracking for contributors working with forked repositories in the libuipc project.
A scaffolding tool for generating production-ready Model Context Protocol (MCP) servers, including boilerplate, typed handlers, schema definitions, and test stubs for AI agent integrations.
Standardized skill for Claude Code agents to dynamically query OpenRouter model recommendations and metadata via the Claudish CLI.
TypeScript development standards for LobeHub, covering type safety, async patterns, import organization, UI component integration, and performance optimization.
Automated Vercel production deployment agent that fetches logs via MCP, identifies build errors, applies fixes, and retries until success.