Explore our collection of Agent Skills to enhance your AI workflow.
Coordinates the entire lifecycle of building AI-powered micro-businesses, from initial market research and idea validation to MVP architecture and launch execution.
Implements secure smart contract development patterns and audits Solidity code for common blockchain vulnerabilities.
Organizes software projects using vertical slice architecture to ensure the directory structure reflects business intent rather than technical frameworks.
Automates browser interactions and UI testing using AI-friendly accessibility snapshots and deterministic element references.
Implements comprehensive Bash Automated Testing System (Bats) patterns for robust, production-grade shell script verification.
Audits training materials and workshop designs against evidence-based frameworks like TBR 4Cs and 70:20:10 to ensure instructional quality and brain-friendly engagement.
Enables Claude to create and manage Hookify rules for automated project governance, safety checks, and coding standards.
Automates the generation of comprehensive Markdown-based test cases and mind maps from requirement documents and technical designs.
Implements robust end-to-end testing strategies using Playwright and Cypress to ensure web application reliability and catch regressions.
Generates professional, locally-executed PDF reports featuring formatted text, data tables, and embedded visualizations using the reportlab library.
Develops and trains Graph Neural Networks (GNNs) for deep learning on irregular structures and relational data.
Analyzes meeting transcripts to identify communication patterns, behavioral habits, and actionable leadership insights.
Executes Python functions in the cloud with serverless containers, automatic scaling, and on-demand GPU access.
Builds and validates Bayesian statistical models using PyMC's probabilistic programming framework.
Facilitates collaborative AI development through intelligent role management, real-time quality monitoring, and specialized interaction modes like TDD and Mentoring.
Streamlines Git worktree management by automating feature isolation, database snapshots, and development server setup.
Generates professional, publication-quality data visualizations and charts using Python's foundational plotting library.
Automates the creation of clean, atomic Git commits with professional messages and zero AI attribution.
Visualizes GitHub project status by aggregating issues, pull requests, and active development worktrees into a centralized view.
Orchestrates a systematic five-step process for analyzing, annotating, and critically evaluating academic research papers.
Streamlines the transition from legacy AngularJS 1.x applications to modern Angular through hybrid setups and component modernization.
Explores and maps complex codebases efficiently using RepoPrompt to minimize token usage while maximizing context.
Automatically converts implementation plans into GitHub Issues and sets up local Git branches for immediate development.
Automates the creation of GitHub Pull Requests with integrated pre-flight checks, issue linking, and optional screenshot support.
Automates the removal of local and remote branches and worktrees after a pull request is successfully merged.
Synchronizes implemented session changes with SPECLAN documentation by automatically identifying and documenting new features or updates.
Implements production-grade Kubernetes security through NetworkPolicies, Pod Security Standards, and least-privilege RBAC.
Performs differential gene expression analysis using Python's DESeq2 implementation for bulk RNA-seq data.
Optimizes AWS infrastructure through real-time billing analysis, performance monitoring, and security assessments using integrated MCP servers.
Implements secure authentication and authorization systems including JWT, OAuth2, and role-based access control.
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