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Found 60 Skills
Review and modernize Agent OS product documentation to ensure quantifiable value propositions and workspace-hub standards compliance.
Generates project-specific .claude/commands for Claude Code
[Utilities] ⚡⚡⚡⚡ Bootstrap a new project automatically
Analyzes, generates, and enhances CLAUDE.md files for any project type using best practices, modular architecture support, and tech stack customization. Use when setting up new projects, improving existing CLAUDE.md files, or establishing AI-assisted development standards.
Detect project tech stack and disable irrelevant skills to save context window space. Use when the user says "manage skills", "optimize skills", "disable irrelevant skills", "skill manager", or asks which skills are relevant for this project.
Creates technical architecture and system design.
Use when starting work on any project to produce or update living documentation (TechStack.md, ProjectStructure.md) that bootstraps context for any AI agent session. Run before any feature work, or periodically to keep docs current.
Uses Agent SDK to deploy 3 parallel agents for client onboarding -- workflow auditor, tech stack mapper, and strategy drafter. Real consulting workflow that produces a complete client assessment.
Guany's personal preferences, toolchain, and coding conventions. Use when you need to understand Guany's preferred tech stack, tools, code style, or environment setup. Topics: preferences, toolchain, code style, editor, shell, font, theme, conventions.
Generate implementable architecture solutions based on business requirements and tech stacks, providing structured suggestions and tech stack selection optimization through a four-step process (information collection, requirement sorting, iterative improvement, solution output)
Bence's code style, tech stack, and workflow conventions
GitHub Research Assistant. Use this skill when the user wants to analyze a GitHub repository. Analysis dimensions -- 1) Basic information; 2) Purpose, what it can be used for; 3) Tech stack, including frameworks, languages, algorithms, etc.; 4) Usage and examples; 5) Technical architecture and module analysis