MLOps Industrialization
A framework to transform experimental ML prototypes into robust, production-ready Python packages using src layout, hybrid architecture, and strict configuration management.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
512 skills found
A framework to transform experimental ML prototypes into robust, production-ready Python packages using src layout, hybrid architecture, and strict configuration management.
Manage database orchestration sessions, state snapshots, and system-level operations for the BAZINGA-DB core engine.
A unified interface for integrating and managing LLM chat providers like OpenAI, Anthropic, Google, Azure, and Bedrock within LangChain applications.
Focus debug skill for DashPlayer: isolates log chains, injects temporary focus markers ([FOCUS:token]), and ensures clean removal of debug artifacts after task completion.
One-click publishing of Markdown articles to WeChat Official Account drafts, featuring automated image hosting, multi-theme styling, and code syntax highlighting.
Standardized configuration and management for Django production server and worker processes.
Generate AGENTS.md and AI configuration files (Cursor, Claude, Gemini, Copilot) for your project to streamline your vibe-coding workflow and maintain context across sessions.
Automated code maintenance loop using Trunk to perform linting, formatting, and iterative error resolution.
Streamline continuous fuzzing for open-source projects using the OSS-Fuzz CLI framework to build harnesses, manage configurations, and generate coverage reports.
Implement secure backend authentication (JWT, OAuth, Sessions) and authorization (RBAC, ABAC) patterns, including password hashing, MFA, and security best practices.
Leverage the Figma MCP server to fetch design data, extract assets, and transform Figma nodes into production-ready React and Tailwind code with design system alignment.
Accelerate clinical and healthcare app development in Lovable. Perfect for OpenClaw Clinical Hackathon participants building MVPs with PHI-safe patterns.