Explore our collection of Agent Skills to enhance your AI workflow.
Optimizes shopping experiences by applying Disney's 12 animation principles to e-commerce interfaces, product catalogs, and checkout flows.
Navigates and analyzes complex codebases using Serena MCP tools to discover architectural patterns and symbolic relationships with high token efficiency.
Generates granular, step-by-step implementation plans with exact file paths and code examples for zero-context engineering tasks.
Validates technical implementation plans across completeness, quality, feasibility, and scope dimensions before execution.
Researches technical best practices, tutorials, and expert opinions using optimized search queries and authority-based source filtering.
Converts arXiv research papers into structured, implementation-ready Markdown documentation with preserved mathematical formulas.
Executes complex implementation plans using parallel or sequential subagents with mandatory review checkpoints and task batching.
Saves and manages AI workflow states to enable seamless task resumption using Serena MCP memory.
Enriches Jira issues with technical requirements, dependency mapping, and complexity estimates through intelligent analysis.
Provides a standardized boilerplate and structural framework for creating new custom Claude Code Skills.
Captures snapshots, video clips, and motion events from RTSP and ONVIF-compliant IP cameras.
Configures a detailed, four-line Powerline-style status bar to monitor project context, Git status, and usage limits in real-time.
Implements an evidence-based debugging protocol that prioritizes observability and systematic instrumentation over speculative fixes.
Optimizes how Claude processes and implements code review feedback with technical rigor and objective verification.
Analyzes your codebase to generate specialized, project-aware AI agents that understand your specific architecture, patterns, and conventions.
Streamlines the completion of development work by verifying tests and offering structured options for merging, creating pull requests, or cleaning up branches.
Implements responsive visual feedback and interactive state patterns for accessible web components and UI elements.
Prevents fragile tests and production code pollution by enforcing strict best practices for mocking and Test-Driven Development.
Dispatches multiple concurrent AI agents to investigate and resolve independent software failures and bugs simultaneously.
Orchestrates parallel research subagents across codebase, documentation, and web sources to build comprehensive technical context before implementation.
Enhances frontend design and user experiences by applying psychological principles and behavioral science concepts.
Standardizes version control processes by enforcing conventional commits, branching strategies, and pull request best practices.
Generates comprehensive technical specification documents through a structured, interactive Q&A workflow.
Validates and bulletproofs Claude Code skills by applying a Red-Green-Refactor cycle to process documentation using high-pressure subagent scenarios.
Formalizes off-chain and on-chain agent interactions using compositional game theory and GF(3) Nash equilibrium for secure, value-conserving feedback loops.
Applies official Anthropic brand colors, typography, and visual identity standards to digital artifacts and documents.
Mandates the execution of verification commands and evidence gathering before any task is marked as complete.
Enforces a disciplined Red-Green-Refactor workflow to ensure high-quality, bug-free code through test-first implementation.
Intelligently organizes local files and folders by analyzing content context, identifying duplicates, and automating digital workspace cleanup.
Styles digital artifacts with professional color palettes and font pairings to ensure consistent visual identity across documents and presentations.
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