massgen-develops-massgen
Development guide for self-improving MassGen via programmatic automation testing and visual UI/UX evaluation.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
558 skills found
Development guide for self-improving MassGen via programmatic automation testing and visual UI/UX evaluation.
Keep your technical specifications, test suites, and source code perfectly synchronized during AI-assisted development.
A framework for crafting suspense, detective, and mystery narratives, emphasizing fair play principles, clue placement, and plot structure.
Preserve successful Python code executions as reusable tools within the gentools package structure, utilizing Pydantic models for structured output and type-safe interfaces.
Standardize project scaffolding with pre-configured Claude Code directories, commands, and agents to ensure consistency across all your development templates.
Expert prompt engineering for Jimeng Seedance 2.0. Generate high-quality multimodal video prompts using text, images, video references, and @ syntax for camera control, rhythm, and VFX.
AI performance marketing agent for Google, Meta, LinkedIn, and TikTok ads. Automate keyword research, budget management, ROAS tracking, and cross-platform reporting via natural language.
Control macOS cmux terminal topology, workspaces, and pane layouts via CLI. Ideal for AI coding agents requiring deterministic multi-pane navigation, surface routing, and attention cues.
A deep analysis tool for A-share markets generating interactive, FT-style HTML daily reports using multi-agent parallel architecture, AkShare data, and Tavily news.
Comprehensive guide and implementation framework for building, configuring, and deploying NexAU agents from scratch, including tools, prompts, and skills.
Advanced QE reporting, quality dashboards, and predictive analytics for test metrics, code coverage, and deployment readiness to drive data-informed quality decisions.
Behavioral guidelines for LLMs to reduce coding mistakes, follow best practices, and improve output quality by enforcing simplicity, surgical changes, and goal-driven verification.