bedrock-knowledge-bases
Amazon Bedrock Knowledge Bases for RAG (Retrieval-Augmented Generation). Create knowledge bases with vector stores, ingest data from S3/web/Confluence/SharePoint, configure chunking strategies, query with retri...
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Amazon Bedrock Knowledge Bases for RAG (Retrieval-Augmented Generation). Create knowledge bases with vector stores, ingest data from S3/web/Confluence/SharePoint, configure chunking strategies, query with retri...
Railway.com GraphQL API automation for projects, services, deployments, and environment variables. Use when automating Railway operations, querying project data, managing deployments, setting variables via API,...
Terra API authentication, credentials management, and environment configuration. Use when setting up Terra integration, managing API keys, generating widget sessions, or configuring testing/staging/production e...
Universal guide for creating production-ready Claude Code skills for any project. Includes 6-step workflow (understand, plan, initialize, edit, package, iterate), progressive disclosure design, YAML frontmatter...
Supabase CLI commands for local development, migrations, project management, and deployment. Use when working with Supabase CLI, starting local dev, managing migrations, or deploying changes.
Amazon Bedrock AgentCore platform for building, deploying, and operating production AI agents. Covers Runtime, Gateway, Browser, Code Interpreter, and Identity services. Use when building Bedrock agents, deploy...
Comprehensive analysis operations for code, skills, processes, data, and patterns. Task-based operations with pattern recognition, metrics calculation, trend identification, and actionable insights generation....
Generate comprehensive ecosystem progress reports showing skills built, efficiency gains, quality metrics, learnings captured, and system evolution. Task-based reporting operations for status reports, efficienc...
Master controller for complete autonomous operation. Use when starting full autonomous projects, managing end-to-end workflow, controlling autonomous lifecycle, or running complete implementations.
Analyze context and decide on continuation via Stop hook. Use when determining if work should continue, analyzing completion status, making continuation decisions, or implementing the Two-Claude pattern.
Complete planning workflow orchestrating architecture planning, task breakdown, and progress tracking setup. Sequential workflow from requirements analysis through structure design and task breakdown to impleme...
Complete deployment guide for Dr. Sophia AI on Railway. Covers environment-aware build system, frontend dist/ compilation, backend auto-deploy, Railway configuration, troubleshooting build/deployment issues. Us...
Complete Auto-Claude installation and setup guide for all platforms. Use when installing Auto-Claude on WSL, Windows, Linux, or macOS, setting up development environment, or troubleshooting installation issues.
State persistence for autonomous coding. Use when saving progress, loading state, tracking features, managing checkpoints, or persisting data across sessions.
Configuration management for autonomous coding. Use when loading settings, managing environment variables, configuring providers, or setting up autonomous mode options.
Comprehensive research toolkit for discovering patterns, best practices, and technical knowledge across Web search, MCP servers, GitHub repositories, and documentation. Use when researching technologies, explor...
Supabase Storage for file uploads, downloads, buckets, and signed URLs. Use when uploading files, managing storage buckets, generating signed URLs, or handling images.
Security sandbox for autonomous coding. Use when validating commands, configuring permissions, managing allowlists, or ensuring safe execution.
Test-driven development with independent verification to prevent test gaming. TDD workflows, test generation, coverage validation (≥80% gate, ≥95% target), property-based testing, edge case discovery. Use when...
Integrate Gemini AI CLI into Claude Code for AI collaboration, code analysis, and tool execution. Use when working with Gemini AI, Google AI, multimodal tasks, or needing advanced AI capabilities.
Setup and manage Gemini CLI authentication methods including OAuth, API keys, and Vertex AI. Use when configuring Gemini access, switching auth methods, or troubleshooting authentication issues.
Browser-based E2E testing for feature verification. Use when running end-to-end tests, validating features in browser, verifying user flows, or testing feature completion.
Build visual AI workflows with Amazon Bedrock Flows. Create flows with prompt nodes, knowledge bases, Lambda, inline code, condition branching, iterators, collectors, and DoWhile loops. Version management, alia...
Amazon Bedrock Prompt Management for creating, versioning, and managing prompt templates with variables, multi-variant A/B testing, and flow integration. Use when creating reusable prompt templates, managing pr...
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