Marketplace
Find the right skill for the job.
Browse the full catalog through outcome-first channels, technical facets, rating filters, and server-side pagination built for a large public marketplace.
ga4-analytics
GA4 reporting, traffic diagnostics, and page-level performance review.
apple-notes
Manage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks OpenClaw to add a note, list notes, search notes, or manage note folders.
github-code-review
A sophisticated multi-agent code review system that orchestrates specialized AI agents for comprehensive PR analysis across security, performance, architecture, and style domains.
pptx
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
tool-design
This skill should be used when the user asks to "design agent tools", "create tool descriptions", "reduce tool complexity", "implement MCP tools", or mentions tool consolidation, architectural reduction, tool naming conventions, or agent-tool interfaces.
neurokit2
This skill provides access to NeuroKit2, a Python library for processing physiological signals like ECG, EEG, EDA, and PPG. It handles common analysis tasks including heart rate variability calculation, signal cleaning, and multi-modal integration for psychophysiology research and clinical applications.
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
agentdb-optimization
Provides concrete optimization techniques for AgentDB vector databases, including quantization methods (binary, scalar, product) for 4-32x memory reduction and HNSW indexing for 150x faster search. Offers specific configuration recipes for different scale levels and use cases with measurable performance benchmarks.
sub-agent-patterns
Comprehensive guide to sub-agents in Claude Code: built-in agents (Explore, Plan, general-purpose), custom agent creation, configuration, and delegation patterns. Use when: creating custom sub-agents, delegating bulk operations, parallel research, understanding built-in agents, or configuring agent tools/models.
backend-queries-standards
Provides concrete guidance for writing secure and performant database queries. Covers parameterized queries to prevent SQL injection, eager loading to avoid N+1 problems, selective column fetching, indexing strategies, transactions, timeouts, and caching. Includes specific code examples in Python and JavaScript with ORMs like SQLAlchemy and Sequelize.
frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
code-quality-review
A comprehensive, systematic framework for conducting code reviews that balances technical rigor with constructive feedback techniques, making it valuable for both individual reviewers and team standards.
Research
A multi-mode research system with three intensity levels (quick/standard/extensive) and specialized workflows for content extraction, YouTube processing, and Fabric pattern integration. Routes requests to appropriate agents, integrates with OSINT and scraping tools, and organizes outputs into structured directories.
data-transform
Provides pandas and numpy code snippets for common data transformation tasks like cleaning, normalization, reshaping, and filtering. Executes locally, compatible with any LLM provider. Includes detailed examples for handling missing values, scaling, pivoting, and troubleshooting common pandas errors.
astropy
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
writing-skills
Applies Test-Driven Development methodology to creating Claude Skills documentation. Provides concrete guidelines for writing effective SKILL.md files with emphasis on trigger-based descriptions, proper structure, and avoiding common pitfalls that cause Claude to skip reading full skill content.
frontend-components-standards
A comprehensive and practical guide for creating maintainable frontend components with clear principles, excellent examples, and framework-agnostic advice.
google-calendar
This skill provides unified Google Calendar access across multiple accounts (work, personal) with parallel fetching, conflict detection, and full CRUD operations. It uses refresh tokens to avoid repeated logins and outputs formatted schedules with clear visual indicators for overlapping events.
evaluation
This skill should be used when the user asks to "evaluate agent performance", "build test framework", "measure agent quality", "create evaluation rubrics", or mentions LLM-as-judge, multi-dimensional evaluation, agent testing, or quality gates for agent pipelines.
web-artifacts-builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
shadcn-ui
Comprehensive documentation skill for shadcn/ui component library with excellent CLI guidance, framework-specific setups, and practical implementation examples.
plotly
Provides comprehensive guidance for using Plotly, a Python library for creating interactive visualizations. Covers both high-level Plotly Express and low-level Graph Objects APIs, with clear examples for common workflows like scientific plotting, statistical analysis, and dashboard creation. Includes practical advice on installation, export options, and integration with Dash.
context-fundamentals
Provides foundational knowledge for designing and debugging AI agent systems by explaining context components, attention mechanics, and progressive disclosure. Helps developers optimize token usage and manage system prompts, tool definitions, and message history effectively.
test-data-management
A comprehensive, production-ready test data management skill with excellent privacy compliance, practical code examples, and clear strategies for different testing scenarios.