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.
skill-creator
Create installable skills with stronger workflows and packaging.
context-optimization
This skill should be used when the user asks to "optimize context", "reduce token costs", "improve context efficiency", "implement KV-cache optimization", "partition context", or mentions context limits, observation masking, context budgeting, or extending effective context capacity.
webapp-launch-analytics
Launch checklist for deployment, GA4, GSC, Clarity, and env wiring.
data-migration-expert
Safer schema changes, backfills, and data movement plans.
backend-models-standards
Provides concrete guidelines for defining database models across multiple ORMs, covering naming conventions, data types, constraints, relationships, and validation. Includes specific examples for SQLAlchemy, Prisma, and ActiveRecord patterns with practical checklists.
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
memory-systems
This skill provides a structured guide for implementing memory systems in AI agents, covering file storage, vector RAG, knowledge graphs, and temporal graphs. It includes clear activation triggers, architecture comparisons, and practical code examples for entity tracking and temporal queries.
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.
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.
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.
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.
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.
prompt-lookup
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.
matplotlib
This skill provides detailed guidance for using matplotlib, covering both pyplot and object-oriented interfaces. It includes practical examples for common plot types, troubleshooting tips for frequent issues, and best practices for creating publication-quality figures. The documentation helps users understand when to choose matplotlib over alternatives like seaborn or plotly.
agentdb-memory-patterns
A comprehensive memory management system for AI agents offering persistent storage, pattern learning, and reasoning capabilities with impressive performance claims and multiple integration options.
agentic-jujutsu
A version control wrapper that enables multiple AI agents to work on code simultaneously without conflicts. It learns from past operations to suggest patterns and includes quantum-resistant security features. The tool tracks agent trajectories and provides success rate predictions for similar tasks.
reasoningbank-agentdb
This skill integrates AgentDB's high-performance vector database with ReasoningBank patterns for adaptive agent learning. It provides trajectory tracking, verdict judgment, memory distillation, and pattern recognition with 150x faster retrieval. Includes CLI tools, TypeScript API, and 100% backward compatibility with legacy ReasoningBank systems.
context-degradation
This skill provides patterns for diagnosing and fixing context degradation in LLM agents, focusing on issues like lost-in-middle effects and context poisoning. It offers concrete strategies like the four-bucket approach and architectural patterns to mitigate performance drops in long conversations.
flow-nexus-swarm
A comprehensive cloud-based AI swarm orchestration platform offering sophisticated workflow automation, multi-topology agent coordination, and event-driven execution with strong practical applications.
book-sft-pipeline
A comprehensive pipeline for creating SFT datasets from books and training style-transfer models with detailed architectural guidance and practical implementation examples.
github-release-management
This skill automates GitHub release workflows using AI swarm coordination. It handles version bumping, changelog generation, multi-stage testing, artifact building, and deployment orchestration. Includes rollback mechanisms, release checklists, and troubleshooting guides for common release failures.
A comprehensive PDF processing guide covering essential operations with clear examples for text extraction, merging, splitting, and PDF creation using popular Python libraries.