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shadcn-ui
Install and configure shadcn/ui components for React projects. Guides component selection, installation order, dependency management, customisation with semantic tokens, and common UI recipes (forms, data tables, navigation, modals). Use after tailwind-theme-builder has set up the theme infrastructure, when adding components, building forms, creating data tables, or setting up navigation.
better-chatbot-patterns
This skill provides reusable patterns for building robust AI chatbots, including server action validators, a type-safe tool abstraction system, and multi-provider setup to reduce errors, improve type safety, and cut token usage by ~65%.
bun-sqlite
This skill enables SQLite database operations using Bun's built-in high-performance driver, supporting prepared statements, transactions, parameterized queries, and multiple database modes for efficient data management.
google-gemini-file-search
Google Gemini File Search provides fully managed RAG for document Q&A, automatically handling chunking, embeddings, and vector search across 100+ file formats without requiring vector database setup, while offering built-in citations and cost-effective pricing.
AgentDB Vector Search
Provides vector search capabilities for AgentDB with HNSW indexing, quantization options, and sub-millisecond query times. Includes CLI tools, TypeScript API, MCP server integration, and performance benchmarks showing 150-12,500x speed improvements over traditional solutions.
agentic-jujutsu
A version control wrapper that enables multiple AI agents to work on code simultaneously with lock-free operations. It learns from agent trajectories to suggest optimal workflows and includes quantum-resistant cryptography for future-proof security.
open-prose
OpenProse is a programming language for AI sessions. Activate on ANY `prose` command (prose boot, prose run, prose compile, prose update, etc.), running .prose files, mentioning OpenProse/Prose, or orchestrating multi-agent workflows. The skill intelligently interprets what the user wants.
data-quality
Provides concrete examples for implementing data quality tests using dbt and Great Expectations. Covers completeness, uniqueness, validity, consistency, and timeliness checks with specific code snippets for schema tests, custom SQL tests, and relationship validations.
when-building-semantic-search-use-agentdb-vector-search
This skill guides developers through building a semantic search system using AgentDB. It provides a 5-phase implementation plan with TypeScript examples, covering vector database setup, document embedding, search indexing, API creation, and optimization. The skill includes concrete success metrics like retrieval accuracy and latency targets.
wp-plugin-development
Use when developing WordPress plugins: architecture and hooks, activation/deactivation/uninstall, admin UI and Settings API, data storage, cron/tasks, security (nonces/capabilities/sanitization/escaping), and release packaging.
power-flow-data
Power system network data formats and topology. Use when parsing bus, generator, and branch data for power flow analysis.
mlops-dag-builder
This skill designs and implements platform-agnostic MLOps pipeline architectures using DAG orchestrators like Airflow or Dagster, focusing on workflow automation, CI/CD for ML, and production-ready deployment patterns.
subagent-creation
Create and configure Claude Code subagents for specialized task delegation. Use when defining expert AI assistants with focused responsibilities, custom prompts, and specific tool permissions.
dbt-expert
Provides concrete dbt project templates and SQL patterns for staging, intermediate, and mart models. Includes specific examples for testing with schema.yml and documentation. Focuses on practical folder structure and naming conventions for data transformation workflows.
cloud-workflow
Provides tools for creating and managing event-driven workflows with agent coordination in Flow Nexus cloud. Supports CI/CD pipelines, data processing, and multi-stage automation with queue management and audit trails. Includes examples for common use cases like testing deployments and ETL jobs.
symbols
A tool for navigating codebases using pre-extracted symbols instead of loading full files. It reduces token usage by 60-95% by letting developers query symbols by name, type, or architectural layer. Supports TypeScript and Python with configurable domain chunking and optional layer splitting for backend efficiency.
AgentDB Learning Plugins
Provides 9 reinforcement learning algorithms for creating self-improving agents via AgentDB. Includes Decision Transformer, Q-Learning, SARSA, and Actor-Critic with CLI tools and TypeScript API. Focuses on practical implementation with experience storage, training workflows, and performance evaluation.
next-best-practices
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
bun-ffi
This skill enables calling native C/C++ libraries directly from JavaScript in Bun, providing a foreign function interface (FFI) for loading shared libraries, defining function signatures, and handling data types and pointers.
ml-model-training
This skill provides comprehensive guidance and code examples for training machine learning models using scikit-learn, PyTorch, and TensorFlow, covering data preparation, model selection, training workflows, evaluation, and best practices to prevent common issues like overfitting and data leakage.
ai-sdk-ui
Provides React hooks (useChat, useCompletion, useObject) for building AI chat interfaces with Vercel AI SDK v5, enabling streaming responses, state management, and easy integration with React/Next.js applications.
ai-sdk-core
Imported from https://github.com/secondsky/claude-skills.
smart-router
Routes LLM API calls to different model tiers based on task complexity, aiming to keep 40-55% of requests on free Gemini Flash. Includes tier definitions, routing logic, and cost tracking. Targets developers building multi-model AI applications.
supabase-management-skill
Imported from https://github.com/GolferGeek/orchestrator-ai.