Explore our collection of Agent Skills to enhance your AI workflow.
Performs deep security audits, vulnerability scanning, and risk assessments across multiple technology stacks.
Automates the creation of comprehensive technical documentation by intelligently detecting project technology stacks and architectural patterns.
Provides comprehensive assistance for building Rust and WebAssembly plugins for the Zellij terminal multiplexer.
Facilitates structured game design sessions using expert personas and standardized artifact tracking for extraction-style games.
Provides a structured reasoning pattern for diagnosing and resolving complex bugs that span multiple abstraction layers in software systems.
Implements robust testing for scientific Python packages using pytest best practices and community-standard guidelines.
Generates comprehensive, publication-quality technical manuals using multi-agent orchestration and engaging thematic storytelling.
Streamlines the creation of distributable scientific Python packages using modern pyproject.toml standards and community-best practices.
Enforces a rigorous evidence-based workflow that requires successful command output before any task is claimed as complete.
Automates the creation and updating of well-formatted GitHub issues directly from development conversations and implementation plans.
Automates the creation and setup of isolated Git worktrees with smart directory selection and safety verification.
Tailors learning resource creation with domain-optimized search strategies, terminology policies, and content structures for various academic fields.
Manages and updates blog content programmatically via API for Cyril's Workshop and DevBlog.
Streamlines the creation, validation, and registration of WordPress Abilities to make site functionality discoverable by AI agents.
Keeps project documentation current and optimized for AI coding agents by synchronizing code changes with technical Markdown files.
Routes backend development queries to specialized domain experts for frameworks, API design, and system architecture.
Automates the creation and tracking of GitHub issues for code review findings that cannot be addressed in the current pull request.
Automatically synchronizes API specifications and feature guides with the codebase to eliminate documentation drift.
Designs and implements secure storage, rotation, and lifecycle patterns for credentials, API keys, and certificates.
Designs structured content hierarchies, reusable parts, and field schemas for headless CMS architectures.
Evaluates AI systems for fairness and implements mitigation strategies using demographic parity, equalized odds, and proxy detection.
Design and optimize high-performance Retrieval-Augmented Generation (RAG) pipelines for LLM applications.
Implements robust fault-tolerance patterns for .NET applications using Polly and Brighter frameworks.
Structures and optimizes technical talks, architecture reviews, and live coding demonstrations for developer audiences.
Conducts sustainability assessments and implements energy-efficient coding patterns based on Green Software Foundation standards.
Facilitates human-centered innovation workshops using the Stanford d.school five-phase methodology to solve complex problems.
Transforms Notion product specifications into actionable implementation plans and tracked tasks.
Guides developers through a streamlined six-command lifecycle to automate task planning, progress syncing, and pull request creation.
Automates the identification and resolution of review comments on GitHub Pull Requests using the GitHub CLI.
Converts conversations and technical notes into structured, linkable Notion pages and team wikis.
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