Explore our collection of Agent Skills to enhance your AI workflow.
Standardizes GraphQL development through strictly enforced naming conventions, file organization patterns, and fragment-first architecture.
Builds reactive Python notebooks, interactive dashboards, and data-driven applications using the marimo framework.
Enables comprehensive creation, editing, and analysis of Word documents with advanced support for tracked changes and formatting preservation.
Facilitates creative research ideation and exploratory scientific problem-solving through structured conversational partnership.
Orchestrates complex AI development workflows by managing asynchronous sub-agents, git worktrees, and cross-task context.
Automates quality assurance by proactively identifying requirements, verifying implementations, and auto-fixing linter errors.
Synchronizes technical documentation with the latest codebase implementation to ensure accuracy and completeness across the project.
Conducts comprehensive security audits and penetration tests on SSH services to identify and exploit vulnerabilities.
Automates the Git lifecycle by staging changes, generating conventional commits, and pushing to remote branches.
Implements industry-standard refactoring techniques and code smell detection to improve software architecture without altering external behavior.
Optimizes, reviews, and troubleshoots LLM prompts using industry-standard engineering techniques for higher accuracy and better formatting.
Optimizes GitHub Actions workflows by analyzing real-world implementation patterns and authoritative documentation via the GitHub CLI.
Enforces industry-standard software design patterns and best practices to ensure code remains maintainable, scalable, and high-quality.
Optimizes markdown documents to maximize information density and parsing efficiency for Large Language Models.
Builds and optimizes reactive Python notebooks using marimo for interactive data analysis, dashboards, and machine learning workflows.
Enables professional-grade spreadsheet creation, financial modeling, and data analysis with automated formula verification and industry-standard formatting.
Debugs and analyzes LangChain and LangGraph agent execution traces directly within the terminal using LangSmith Studio data.
Query and analyze over 240 million scholarly works using the OpenAlex database for literature reviews and bibliometric studies.
Automates repetitive tasks and builds robust command-line tools using industry-standard Bash and Zsh best practices.
Builds process-based discrete-event simulations in Python for modeling complex systems with shared resources.
Processes and analyzes massive tabular datasets exceeding available RAM using out-of-core DataFrames and lazy evaluation.
Audits codebase quality by identifying technical debt, test coverage gaps, code duplication, and documentation issues across multiple programming languages.
Automates the creation of multi-post daily blog entries by aggregating content from Mastodon and Linkding bookmarks.
Analyzes and visualizes complex network structures and graph data within Python environments.
Standardizes the development of specialized Claude Code skills through optimized metadata, workflows, and resource management.
Generates a project-specific AGENTS.md file to define roles, constraints, and testing strategies for AI-driven development.
Conducts high-performance computational fluid dynamics (CFD) simulations using Python-based pseudospectral methods and MPI parallelization.
Automates the creation of conversational, Jekyll-formatted weeknotes by aggregating content from Mastodon activity and Linkding bookmarks.
Optimizes browser automation and web scraping for Claude using context-efficient Playwright scripts and subagent isolation.
Automates the organization, indexing, and archiving of project documentation using structured directory patterns and metadata.
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