executing-plans
Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
351 skills found
Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.
Architectural planning and scaling for spectre-build, covering GUI, server layers, multi-model support, and industrial pipeline orchestration.
Search, discover, and refine AI prompts using the prompts.chat library. Access thousands of community-curated prompts for ChatGPT, Claude, and other AI models.
Expert framework for designing agent-facing tools, optimizing tool descriptions, enforcing contract-based APIs, and implementing architectural reduction for reliable AI agent tool selection.
Apply context-driven testing principles to adapt testing strategies based on project goals, risks, and constraints rather than relying on universal best practices.
A structured prompting framework to transform casual inputs into professional, modular LLM prompts with persona, context, task, format, and guardrails.
Creates professional, editable PowerPoint (.pptx) presentations with AI-generated full-slide images, brand consistency, and style references.
Orchestrate Unity Editor via MCP tools. Enables AI to create GameObjects, edit scripts, manage scenes, and automate testing within Unity projects.
Generate personalized, professional business audit videos with AI avatars and strategic research analysis.
Automate Adobe After Effects tasks using the Model Context Protocol. Manage compositions, layers, keyframes, effects, and expressions for motion graphics, title cards, and logo reveals.
Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, and registries to enhance your AI-assisted development workflow.
A structured repository of Agent Skills for context engineering, multi-agent architectures, and production-grade agent system optimization.