Explore our collection of Agent Skills to enhance your AI workflow.
Decomposes complex projects into actionable, single-purpose tasks to streamline development workflows and skill design.
Generates interactive, publication-quality scientific and statistical visualizations using the Plotly Python library.
Validates and modifies Docusaurus configuration files to ensure correct site settings and documentation structure.
Coordinates multiple AI agents to perform high-speed, parallel code analysis using shared claudemem data.
Standardizes Git workflows, commit messaging, and pull request processes for individual and team-based development.
Creates distinctive, production-grade frontend interfaces with high design quality and custom aesthetic directions.
Enforces Anthropic best practices for XML tag structures when designing and implementing specialized Claude Code agents.
Conducts automated end-to-end testing of the PatriotForge application using Playwright to identify UI bugs, console errors, and network failures.
Investigates and identifies the actual production technology stacks of companies by triangulating GitHub data, job postings, and engineering signals.
Manage database schema and data migrations across ORMs with zero-downtime strategies and rollback procedures.
Performs comprehensive, multi-dimensional codebase audits using parallel AI agents to identify architectural, security, and performance improvements.
Provides comprehensive patterns and best practices for writing production-grade unit tests for shell scripts using the Bats framework.
Analyzes business processes and development workflows to identify, decompose, and categorize tasks for potential automation as Claude plugins.
Automates the installation and configuration of Model Context Protocol (MCP) servers within Claude Code.
Builds and manages distributable Python packages using modern standards like pyproject.toml and PEP 621.
Configures and optimizes Static Application Security Testing (SAST) tools to automate vulnerability detection within application source code.
Generates clear, discoverable software documentation using the Diataxis framework and the Eight Rules principles.
Builds production-grade Go command-line interfaces using industry-standard Cobra patterns found in kubectl and Hugo.
Analyzes and visualizes AWS Bedrock model consumption and spending patterns directly from the CLI.
Streamlines the creation of standardized agent definition files through interactive scope definition and architectural validation.
Implements production-ready, clean, and testable code across multiple stacks following SOLID principles and structured workflows.
Provides standardized C# access patterns and best practices for interacting with DuckDB, PostgreSQL, MySQL, SQL Server, and DBISAM.
Builds advanced financial models including DCF analysis, Monte Carlo simulations, and scenario planning for data-driven investment decisions.
Standardizes CLI application testing across Node.js and Python using industry-standard frameworks and best practices.
Rapidly diagnoses and resolves production issues by orchestrating parallel scout agents across logs, containers, and databases.
Generates professional Python command-line interfaces automatically using Google Fire patterns, class-based structures, and docstring parsing.
Performs automated audits of TypeScript and JavaScript code changes to ensure compliance with project standards and best practices.
Automates project documentation lifecycles through structured organization, metadata enforcement, and intelligent archiving.
Manages versioning, cache-busting, and rollback strategies for remote WebF bundles to ensure seamless application updates.
Secures payment systems by implementing PCI DSS requirements, including tokenization, encryption, and strict data handling protocols.
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