Explore our collection of Agent Skills to enhance your AI workflow.
Automates data classification and tagging within Databricks Unity Catalog to ensure regulatory compliance and data governance.
Manages secure cross-organization data sharing, recipient configuration, and usage monitoring using the Delta Sharing protocol.
Synthesizes multiple advanced theoretical frameworks from world-class researchers to solve complex problems through high-level meta-reasoning.
Simplifies Limelight 3A vision system integration for FTC robots, enabling advanced AprilTag detection, localization, and automated aiming.
Evaluates narrative content across five key dimensions to optimize storytelling impact and reader engagement.
Analyzes conversation threads and concept networks using advanced relational thinking and ACSet modeling.
Automates the creation and management of production-ready Helm charts for Kubernetes application packaging and deployment.
Implements robust governance frameworks using RBAC, ABAC, and fine-grained security controls within Databricks Unity Catalog.
Analyzes and reconciles AI interaction threads across multiple platforms using topological decomposition and universal schema mapping.
Generates professionally formatted academic citations and bibliographies across multiple styles like APA, MLA, and IEEE.
Automates the GitHub pull request lifecycle by managing PR creation, review comment retrieval, and commit-by-commit fixes via the GitHub CLI.
Deploys and manages production-grade machine learning models on Databricks with support for A/B testing and auto-scaling.
Implements robust data mesh architectures with standardized contracts, SLAs, and governance frameworks on Databricks.
Automates web browser interactions for testing, debugging, and UI verification within the Claude Code environment.
Provides structured patterns and guidance for building high-performance, production-grade AI agent systems through advanced context management.
Automates regulatory compliance monitoring and reporting for GDPR, HIPAA, SOC2, and CCPA within Databricks environments.
Executes decomposed development tasks through a disciplined, test-driven workflow that ensures spec alignment and prevents scope creep.
Implements intrinsic motivation for AI agents by rewarding compression progress and the discovery of learnable patterns.
Optimizes development workflows by triaging task complexity to prevent over-engineered execution of trivial code changes.
Facilitates fault-tolerant P2P file transfers using triple-redundant subagents across Tailscale, LAN, and DNS channels.
Downloads high-quality videos and audio from YouTube and other platforms for offline access and archival.
Integrates advanced topological graph theory and bicomodule structures into Claude for complex scientific computing and algebraic modeling.
Automates task execution and collaboration between Claude Code and the Codex CLI in a dual-agent environment.
Streamlines the software requirement definition process by automating the generation of specifications, implementation plans, and TDD-ready task lists.
Integrates hardware wallets, post-quantum cryptography, and AI-driven risk management for secure wealth protection and trade execution.
Automates the deployment of web applications to Vercel while optimizing for edge functions, serverless architecture, and Incremental Static Regeneration.
Injects institutional memory and historical error patterns into the AI planning process to prevent redundant work.
Orchestrates a rigorous, spec-first development cycle that enforces traceability and test-driven implementation for high-quality software.
Provides high-performance LLVM-level automatic differentiation for Julia code on CPU and GPU architectures.
Integrates Glean's enterprise-grade search and synthesis capabilities into Claude to answer questions about your company, projects, and work history.
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