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project-initialization-phase
Orchestrates /init-project command execution through interactive questionnaire (15 questions), brownfield codebase scanning (tech stack detection, ERD from migrations), and 8-document generation (overview, architecture, tech-stack, data, API, capacity, deployment, workflow). Use when user runs /init-project, requests project documentation generation, or asks about architecture setup for greenfield/brownfield projects. (project)
llm-architect
Provides structured guidance for designing and deploying LLM systems, covering architecture, fine-tuning, RAG, and serving optimization. Includes concrete checklists for latency, throughput, and safety. Integrates with transformers, LangChain, and vLLM tools for implementation.
mongodb-usage
This skill provides MongoDB best practices documentation for querying and schema design. It covers embedding vs referencing decisions, index strategies with ESR rule, aggregation pipeline optimization, and connection management. The skill is read-only and focuses on performance patterns rather than executing actual queries.
mermaid-diagrams
This skill creates and maintains architecture diagrams using Mermaid syntax, enabling visualization of system components, data flows, and workflows through text-based diagrams that are easy to version control and update.
agent-browser
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
kubernetes
Imported from https://github.com/Klavis-AI/klavis.
moai-platform-supabase
Provides Supabase implementation patterns for PostgreSQL 16 with pgvector, RLS policies, real-time subscriptions, and Edge Functions. Includes modular guides for database setup, multi-tenant isolation, and TypeScript client integration with practical code examples.
moai-domain-database
Provides concrete implementations for PostgreSQL, MongoDB, and Redis operations including connection setup, query optimization, caching patterns, and multi-database synchronization. Includes working code examples for rate limiting, distributed locking, and real-time analytics using Redis data structures.
defense-in-depth
This skill promotes a multi-layer validation pattern where data is validated at every layer it passes through, making certain bug categories structurally impossible rather than just caught. It provides concrete examples and a four-layer framework for implementation.
microservices-patterns
Provides concrete patterns for designing microservices architectures including service decomposition, communication strategies, data management, and resilience patterns. Includes working code examples for common scenarios like API gateways, circuit breakers, and saga implementations.
backend-ai-guide
This skill fetches and synthesizes official Backend.AI documentation from GitHub to answer technical questions about the platform's architecture, components, APIs, and setup. It follows a structured approach to identify relevant documentation sources and provides source-backed answers with clear citations.
cloudbase-document-database-web-sdk
Use CloudBase document database Web SDK to query, create, update, and delete data. Supports complex queries, pagination, aggregation, and geolocation queries.
external-model-selection
Choose optimal external AI models for code analysis, bug investigation, and architectural decisions. Use when consulting multiple LLMs via claudish, comparing model perspectives, or investigating complex Go/LSP/transpiler issues. Provides empirically validated model rankings (91/100 for MiniMax M2, 83/100 for Grok Code Fast) and proven consultation strategies based on real-world testing.
Provides Python code examples and CLI commands for common PDF tasks: merging/splitting files, extracting text/tables, creating new PDFs, handling forms, and OCR for scanned documents. Covers pypdf, pdfplumber, reportlab, and command-line tools like qpdf.
braindump
Captures raw thoughts and transforms them into structured markdown files with domain classification, competitive intelligence extraction, and strategic analysis. Integrates with Obsidian vaults for personal knowledge management.
data-analytics-engineering
This skill provides a structured framework for analytics engineering, focusing on building transformation layers, defining metrics, and ensuring data quality. It offers concrete workflows, templates for documentation, and clear guidance on dimensional modeling. It connects well with related data platform and SQL optimization skills.
snowflake-cli
This skill enables Claude to execute Snowflake CLI commands for SQL operations, stage management, and application deployment. It covers variable templating with three syntax types, connection profiles, and multi-environment patterns. The documentation includes troubleshooting guides for common issues like variable substitution and permission errors.
discover-data
A gateway skill that auto-activates for data development tasks and provides access to 9 specialized data skills covering batch processing, stream processing, and advanced dataflow systems. It uses a progressive loading approach where users first get the gateway, then can explore specific skills as needed.
rag-implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
pitch-deck
Populates investment banking pitch deck templates with data from source files. Use when: user provides a PowerPoint template to fill in, user has source data (Excel/CSV) to populate into slides, user mentions populating or filling a pitch deck template, or user needs to transfer data into existing slide layouts. Not for creating presentations from scratch.
proactive-agent
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞
prometheus
Query Prometheus monitoring data to check server metrics, resource usage, and system health. Use when the user asks about server status, disk space, CPU/memory usage, network stats, or any metrics collected by Prometheus. Supports multiple Prometheus instances with aggregated queries, config file or environment variables, and HTTP Basic Auth.
llm-router
Routes LLM requests to different AI providers (OpenAI, Grok, Groq, DeepSeek, OpenRouter) using SwiftOpenAI-CLI. Automates provider configuration, checks CLI installation, handles API key setup, and executes one-shot agentic tasks with MCP tool integration.
github-workflow-automation
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management