bedrock-agents
Amazon Bedrock Agents for building autonomous AI agents with foundation model orchestration, action groups, knowledge bases, and session management. Use when creating AI agents, orchestrating multi-step workflows, integrating tools with LLMs, building conversational agents, implementing RAG patterns, managing agent sessions, deploying production agents, or connecting knowledge bases to agents.
npx skills add majiayu000/claude-skill-registry --skill bedrock-agents-adaptationio-skrillz-2 --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.
What it does
Installs and configures Amazon Bedrock Agents to orchestrate foundation models with action groups, knowledge bases, and session management. It is intended for creating AI agents, orchestrating multi-step workflows, integrating tools with LLMs, building conversational agents, implementing RAG patterns, managing agent sessions, deploying production agents, or connecting knowledge bases to agents.
How it works
- Provides a guide to create an agent with a specified foundation model and instructions, returning agent details such as agentId and agentStatus.
- Includes a prepare_agent procedure to initialize an agent after creation or updates, returning preparation status and preparedAt timestamp.
- Offers create_lambda_action_group to add Lambda-based action groups, specifying agentId, actionGroupName, lambda_arn, description, and an OpenAPI schema; returns action group details including actionGroupId and Lambda reference.
- Provides create_openapi_action_group to define an action group for external REST APIs, using a custom control flow and an OpenAPI schema payload; returns the created action group.
- Contains associate_knowledge_base to attach a knowledge base to an agent for RAG, returning knowledge base association details and description; followed by preparation and readiness checks.
- Describes create_agent_alias to establish a stable deployment endpoint (agent alias) for the agent.
Key commands, file names, and tool names are used exactly as shown in the skill, including references to boto3 client calls, agentId, agentVersion, and specific field names like idleSessionTTLInSeconds, agentStatus, and actionGroupState.
When to use it
Use when you need to:
- Create Bedrock Agents with a foundation model and system instructions
- Prepare agents for use after changes
- Create Lambda or OpenAPI action groups to enable tool usage
- Associate knowledge bases for RAG capabilities
- Create a deployment alias for production or staging environments
What it can touch
- Uses the bedrock-agent and bedrock_agent APIs (implied by code examples)
- Actions involve Lambda functions (lambda_arn), OpenAPI schemas, and knowledge bases (knowledgeBaseId)
Caveats
- License: MIT
- Declared tools: Bash, Read, Write, Edit, Glob, Grep
- Foundation model examples and IDs are provided, but exact availability may depend on AWS Bedrock configuration
- The skill requires an AWS environment with Bedrock Agent capabilities and appropriate permissions
# Amazon Bedrock Agents Complete guide to building and managing Amazon Bedrock Agents - autonomous AI agents that orchestrate foundation models with action groups, knowledge bases, and multi-turn conversations. ## Overview Amazon Bedrock Agents enables you to create autonomous AI agents that can: - Orchestrate foundation models to execute multi-step tasks - Integrate with APIs and Lambda functions via action groups - Access enterprise knowledge through knowledge bases (RAG) - Maintain conversation context across sessions - Reason about complex problems and break them into steps - Invoke tools and APIs based on natural language requests **Control Plane**: `bedrock-agent` client for agent configuration **Runtime Plane**: `bedrock-agent-runtime` client for agent invocation ## Core Concepts ### Agents The foundation model orchestrator that processes requests, plans actions, and coordinates responses. **Key Properties**: - Agent name and description - Foundation model (Claude, Titan, etc.) - Instructions (system prompt defining behavior) - Action groups (tools the agent can use) - Knowledge bases (data sources for RAG) - Aliases (deployment versions) ### Action Groups Define tools and A
- Overview
- Core Concepts
- Agents
- Action Groups
- Knowledge Bases
- Aliases
- Sessions
- Architecture
- Operations
- 1. Create Agent
- 2. Prepare Agent
- 3. Create Action Group
- 4. Associate Knowledge Base
- 5. Create Agent Alias
What does the bedrock-agents skill do?
Amazon Bedrock Agents for building autonomous AI agents with foundation model orchestration, action groups, knowledge bases, and session management. Use when creating AI agents, orchestrating multi-step workflows, integrating tools with LLMs, building conversational agents, implementing RAG patterns, managing agent sessions, deploying production agents, or connecting knowledge bases to agents.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill bedrock-agents-adaptationio-skrillz-2 --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 majiayu000/claude-skill-registry, a repository with 534 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.