Explore our collection of Agent Skills to enhance your AI workflow.
Designs enterprise-grade, compliant cloud architectures for SOC 2, HIPAA, GDPR, and PCI-DSS standards.
Standardizes project rules and architectural patterns for AI agents through token-efficient, machine-optimized constitution files.
Conducts exhaustive, multi-perspective research using parallel agent workers and iterative gap detection.
Implements secure Stripe payment processing, subscription management, and webhook handling for modern Next.js applications.
Automates the complete Git workflow from conventional commits and pull request creation to CI monitoring and final merging.
Optimizes GitHub Actions workflows by migrating eligible jobs to lightweight ubuntu-slim runners for cost and resource efficiency.
Generates standardized Git commit messages following the Conventional Commits specification with automatic project configuration detection.
Analyzes your coding patterns and chat history to identify skill gaps and deliver personalized learning resources via Slack.
Manages professional accounting and bookkeeping tasks through the Layer API with strict precision and financial reporting.
Transforms complex academic papers into detailed, evidence-based narrative explanations with rigorous citation standards for research workflows.
Synthesizes ancient wisdom traditions with modern consciousness frameworks to provide technical navigation protocols and pattern-based insights.
Analyzes sales data to identify recurring barriers and generates proven response playbooks from successful deals.
Generates unique, collision-free identifiers for SPECLAN entities using automated collision detection and format-specific logic.
Implements secure authentication and authorization systems including JWT, OAuth2, and role-based access control.
Optimizes AWS infrastructure through real-time billing analysis, performance monitoring, and security assessments using integrated MCP servers.
Performs differential gene expression analysis using Python's DESeq2 implementation for bulk RNA-seq data.
Implements production-grade Kubernetes security through NetworkPolicies, Pod Security Standards, and least-privilege RBAC.
Synchronizes implemented session changes with SPECLAN documentation by automatically identifying and documenting new features or updates.
Automates the removal of local and remote branches and worktrees after a pull request is successfully merged.
Automates the creation of GitHub Pull Requests with integrated pre-flight checks, issue linking, and optional screenshot support.
Automatically converts implementation plans into GitHub Issues and sets up local Git branches for immediate development.
Explores and maps complex codebases efficiently using RepoPrompt to minimize token usage while maximizing context.
Streamlines the transition from legacy AngularJS 1.x applications to modern Angular through hybrid setups and component modernization.
Orchestrates a systematic five-step process for analyzing, annotating, and critically evaluating academic research papers.
Visualizes GitHub project status by aggregating issues, pull requests, and active development worktrees into a centralized view.
Automates the creation of clean, atomic Git commits with professional messages and zero AI attribution.
Generates professional, publication-quality data visualizations and charts using Python's foundational plotting library.
Streamlines Git worktree management by automating feature isolation, database snapshots, and development server setup.
Builds and validates Bayesian statistical models using PyMC's probabilistic programming framework.
Executes Python functions in the cloud with serverless containers, automatic scaling, and on-demand GPU access.
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