Explore our collection of Agent Skills to enhance your AI workflow.
Enforces a check for relevant skills before starting any task to ensure adherence to best practices.
Converts Markdown documents into professional, print-ready PDFs using Pandoc and XeLaTeX with automated formatting and layout controls.
Discovers unique and defensible market positions using eight proven strategic frameworks to differentiate brands in competitive landscapes.
Identifies high-value content opportunities using the 6 Circles Method to build data-driven content calendars without paid SEO tools.
Implements features and fixes bugs using the disciplined Red-Green-Refactor cycle of Test-Driven Development (TDD).
Persists project knowledge, architectural decisions, and coding patterns directly into an Obsidian-based knowledge base for long-term retrieval.
Optimizes training epochs for machine learning models using Walk-Forward Efficiency and efficient frontier analysis.
Analyzes PyPI metadata to evaluate compilation requirements, dependency complexity, and distribution strategies for Python packages.
Automates the extraction and summarization of Slack activity for vLLM CI SIG to track breaking changes, hardware issues, and upstream releases.
Implements modern security standards including Zero Trust Architecture, supply chain protection, and DevSecOps integration.
Guides users through the installation, configuration, and management of skills within the skill-to-mcp server ecosystem.
Generates and refines comprehensive RSpec test suites for Ruby and Rails applications using industry best practices and optimized conventions.
Optimizes Claude Code knowledge bases by normalizing filenames and merging semantically similar notes using AI.
Monitors GitHub Pull Request status by polling CI checks until completion to automate development workflows.
Surfaces blocking issues for human decision-making using evidence-based reports and structured resolution paths.
Implements end-to-end machine learning lifecycles including model versioning, automated training pipelines, and production monitoring for scalable AI systems.
Guides users through a structured discovery interview to transform vague ideas into detailed requirement specifications.
Excavates and documents Claude Code session logs to establish complete provenance for research, ADRs, and code contributions.
Builds immersive, scroll-driven storytelling experiences with pinned sections, progressive reveals, and narrative-linked animations.
Orchestrates parallel sub-agents to systematically map complex codebases through implementation, usage, and test-based exploration.
Enforces standardized software development practices and testing protocols to ensure production-grade code quality.
Audits source code to identify over-engineering, premature optimization, and unnecessary cognitive complexity.
Structures complex thinking across strategic, tactical, and operational levels of abstraction to ensure consistency between high-level principles and concrete implementation.
Generates clean, idiomatic Ruby 3.x code adhering to Sandi Metz’s maintainability standards and modern syntax best practices.
Provides structural guidance and implementation standards for software projects lacking foundational documentation.
Identifies and manages invalid cross-references to maintain documentation integrity and link reliability.
Manages Trello boards, lists, and cards using natural language commands within Claude Code.
Integrates disparate information sources into unified insights and applies structural mapping to explain complex concepts through cross-domain analogies.
Automates the creation, management, and security validation of Salesforce Connected Apps and External Client Apps with specialized OAuth configurations.
Applies battle-tested architectural patterns and coding best practices to ensure high-quality, maintainable software across multiple languages.
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