rag-implementation
About
This skill provides a structured workflow for implementing RAG systems, covering embedding selection, vector database setup, and chunking strategies. Use it when building document Q&A systems, semantic search, or any application requiring knowledge-grounded AI. It guides developers through requirements analysis, optimization, and evaluation of retrieval quality.
Quick Install
Claude Code
Recommendednpx skills add sickn33/antigravity-awesome-skills -a claude-code/plugin add https://github.com/sickn33/antigravity-awesome-skillsgit clone https://github.com/sickn33/antigravity-awesome-skills.git ~/.claude/skills/rag-implementationCopy and paste this command in Claude Code to install this skill
GitHub Repository
Related Skills
api-security-testing
OtherThis skill provides a comprehensive security testing workflow for both REST and GraphQL APIs. It covers authentication, authorization, rate limiting, and input validation testing across multiple phases. Developers should use it for API security assessments, bug bounty testing, or validating API implementations against security best practices.
web-security-testing
OtherThis Claude Skill provides a structured workflow for testing web applications against OWASP Top 10 vulnerabilities like injection and XSS. Use it during security assessments, penetration tests, or bug bounty hunting to systematically map, scan, and validate application security controls.
terraform-infrastructure
OtherThis Claude Skill provides a specialized Terraform workflow for infrastructure as code, enabling developers to provision cloud resources and create reusable modules. It covers the full lifecycle including setup, state management, and multi-environment deployments. Use this when implementing IaC best practices or managing infrastructure at scale with Terraform.
linux-troubleshooting
OtherThis Linux troubleshooting skill provides a structured workflow for diagnosing and resolving system issues like performance problems, service failures, and network errors. It guides developers through assessment phases using commands and tools to identify root causes. Use it when debugging application errors, investigating resource constraints, or troubleshooting service outages on Linux systems.
