Explore our collection of Agent Skills to enhance your AI workflow.
Resolves failing tests automatically by analyzing error reports, diagnosing root causes, and implementing verified fixes across any framework.
Automates comprehensive code reviews and architectural analysis using the Codex CLI within a secure, read-only sandbox.
Measures and analyzes code complexity, maintainability, and structural health using industry-standard quantitative metrics.
Analyzes code to identify and mitigate hidden assumptions regarding user ability, identity, and circumstance to ensure equitable software design.
Validates diagnostic accuracy and clinical safety for AI-driven telehealth consultations involving Saudi patient profiles.
Configures environment credentials and organization settings for automated end-to-end browser testing workflows.
Enforces professional software development principles including TDD, simple architecture, and full-cycle development for all coding tasks.
Standardizes GraphQL development through strictly enforced naming conventions, file organization patterns, and fragment-first architecture.
Accelerates iOS app development with specialized guidance for Swift, SwiftUI, Live Activities, and WidgetKit.
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.
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.
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