Explore our collection of Agent Skills to enhance your AI workflow.
Automates the creation of standardized Claude Code skills by generating templates, directory structures, and manifest updates.
Designs robust pytest architectures and comprehensive testing strategies for modern Python 3.11+ applications.
Generates professional, PyPI-compliant README files in Markdown or reStructuredText that ensure perfect rendering across all major code hosting platforms.
Conducts systematic, checklist-based code reviews to ensure type safety, security, and performance before commits.
Extracts design tokens, component specifications, and assets from Figma to automate frontend development workflows.
Analyzes Claude plugins to identify refactoring opportunities and generates structured plans for parallel execution.
Orchestrates the creation, maintenance, and validation of comprehensive research documentation within your repository.
Modernizes Python codebases by applying Python 3.11+ best practices, advanced type hinting, and contemporary framework patterns.
Debugs and investigates functional Python issues using systematic root cause analysis and evidence-based testing frameworks.
Provides a comprehensive technical reference for the Claude Code hooks system to enable advanced workflow automation and tool validation.
Orchestrates multiple AI agents and persistent teammates to execute complex, parallelized development workflows using a shared task system.
Transforms external repositories and CLI tools into structured Claude Code plugins and skills.
Optimizes and formats frontmatter description fields for Claude Code skills to ensure syntax compatibility and tool discovery.
Builds and optimizes custom Claude Code skills with specialized knowledge, workflows, and tool integrations.
Conducts autonomous research and gap analysis to clarify feature requirements and codebase patterns before implementation.
Analyzes and cleans Perl source code using Perl::Critic and perltidy to ensure industry-standard code quality and style.
Manages TOML configuration files in Python projects while preserving comments, formatting, and industry-standard best practices.
Prepares project backlog items for implementation by discovering relevant research, required skills, and technical context using parallel agents.
Optimizes CLI performance by detecting modern tool alternatives and providing graceful fallback strategies for development tasks.
Automates the end-to-end process of analyzing, planning, and executing structural refactors for Claude Code plugins.
Provides persistent knowledge storage and semantic retrieval to maintain context across multiple AI coding sessions.
Automates the setup of CI/CD pipelines for testing, linting, and securely publishing Python packages to PyPI.
Streamlines the installation and management of multiple Perl versions and isolated development environments using perlbrew and plenv.
Scans codebases for Outfitter Stack adoption candidates and generates a structured migration roadmap.
Implements structured logging, colorized terminal output, and CI/CD-specific reporting for Bash scripts.
Streamlines the development of AI-powered applications using Vercel AI SDK v6 patterns for streaming, agents, and structured outputs.
Performs comprehensive Python code reviews focused on type safety, security vulnerabilities, and modern performance patterns.
Manages Linear issues, teams, and workflows directly from the terminal within the Claude Code environment.
Streamlines Perl software quality assurance using Test::More, advanced mocking techniques, and automated test harnesses.
Maintains session continuity and agent coordination by tracking tasks and dependencies through context compaction.
Scroll for more results...