bedrock
AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.
npx skills add itsmostafa/aws-agent-skills --skill bedrock --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AWS Bedrock Amazon Bedrock provides access to foundation models (FMs) from AI companies through a unified API. Build generative AI applications with text generation, embeddings, and image generation capabilities. ## Table of Contents - [Core Concepts](#core-concepts) - [Common Patterns](#common-patterns) - [CLI Reference](#cli-reference) - [Best Practices](#best-practices) - [Troubleshooting](#troubleshooting) - [References](#references) ## Core Concepts ### Foundation Models Pre-trained models available through Bedrock: - **Claude** (Anthropic): Text generation, analysis, coding - **Titan** (Amazon): Text, embeddings, image generation - **Llama** (Meta): Open-weight text generation - **Mistral**: Efficient text generation - **Stable Diffusion** (Stability AI): Image generation ### Model Access Models must be enabled in your account before use: - Request access in Bedrock console - Some models require acceptance of EULAs - Access is region-specific ### Inference Types | Type | Use Case | Pricing | |------|----------|---------| | **On-Demand** | Variable workloads | Per token | | **Provisioned Throughput** | Consistent high-volume | Hourly commitment | | **Batch Inference** | Asyn
- Table of Contents
- Core Concepts
- Foundation Models
- Model Access
- Inference Types
- Common Patterns
- Invoke Model (Text Generation)
- Streaming Response
- Generate Embeddings
- Conversation with History
- List Available Models
- Request Model Access
- CLI Reference
- Bedrock (Control Plane)
Invoke Claude aws bedrock-runtime invoke-model \ response.json cat response.json | jq -r '.content[0].text' List all foundation models aws bedrock list-foundation-models \ Filter by provider Get model details aws bedrock get-foundation-model \ List model access status
What does the bedrock skill do?
AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.
How do I install it?
Run `npx skills add itsmostafa/aws-agent-skills --skill bedrock --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From itsmostafa/aws-agent-skills, a repository with 1,139 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.