
π―Skills44
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Creates professional presentation slides from Markdown using the Marp ecosystem within Claude Code.
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Guides structured analysis of user feedback to extract actionable insights and improvement directions for products and services.
Transforms AI-generated text into natural, human-sounding writing while preserving meaning and intent.
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Analyzes code naming conventions across variables, functions, classes, files, database tables, and API endpoints, identifying inconsistencies and suggesting improvements by language.
Analyzes recent code changes via git history to extract specific, grounded software engineering lessons by matching changes against a catalog of software engineering principles and anti-patterns.
Automates Markdown document refactoring with consistent formatting, structure optimization, and content reorganization
Streamlines git commit workflows with structured commit messages, change summaries, and automated staging patterns
Guides creation of professional README files with best practices for project descriptions, installation guides, API documentation, and contribution guidelines
Integrates Google Gemini AI into Claude Code workflows for multi-model collaboration and cross-referencing AI responses
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AI-assisted development workflow that orchestrates structured planning, implementation, and iterative refinement of code projects
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Generates C4 model architecture diagrams covering context, container, component, and code views for clear system documentation
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API handoff documentation skill that creates structured handoff documents for frontend developers after backend work is complete, providing full business and technical context for integration
Transforms frontend design requirements into structured backend API specifications and data models, bridging design and implementation details.
Generates a standardized, opinionated design system starter template with predefined components, tokens, and configuration files to accelerate frontend design system development.
Calculates and analyzes text perplexity to assess language model complexity, predictability, and information density.
Jira integration skill enabling natural language interaction for issue management, sprint tracking, and backlog operations, supporting both CLI and Atlassian MCP backends with automatic detection
Requirements clarification skill that transforms vague feature requests into actionable PRDs through systematic dialogue, using a 100-point scoring system with YAGNI and KISS checks before implementation
Generates and manipulates draw.io diagrams programmatically within Claude Code, enabling quick visual documentation and design creation.
Delegates Excalidraw file parsing and visualization tasks to specialized subagents to efficiently handle complex JSON files without context exhaustion.
Generates Material-UI (MUI) React component boilerplate and provides structured code generation for React frontend development using MUI design system.
Converts web page content into clean, structured Markdown format, preserving text, headings, and links while stripping out unnecessary HTML and formatting.
Datadog CLI skill for AI agents to search logs, query metrics, trace requests, and manage dashboards, enabling production issue debugging through Datadog's observability platform
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πPlugins56
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Analyzes code naming conventions across variables, functions, classes, files, database tables, and API endpoints, identifying inconsistencies and suggesting improvements by language.
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