Amazon Bedrock
aws/agent-toolkit-for-aws
Builds generative AI applications on Amazon Bedrock. An agent skill from aws/agent-toolkit-for-aws.
Agent skill
by giuseppe-trisciuoglio in giuseppe-trisciuoglio/developer-kit
Provides AWS CloudFormation patterns for Amazon Bedrock resources including agents, knowledge bases, data sources, guardrails, prompts, flows, and inference profiles.
$ npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-bedrock -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install giuseppe-trisciuoglio/developer-kit aws-cloudformation-bedrock --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock .claude/skills/aws-cloudformation-bedrock && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "aws-cloudformation-bedrock" agent skill from https://github.com/giuseppe-trisciuoglio/developer-kit/tree/main/plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock into .claude/skills/aws-cloudformation-bedrock/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-cloudformation-bedrock", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/giuseppe-trisciuoglio/developer-kit/tree/main/plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrockType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-bedrock -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install giuseppe-trisciuoglio/developer-kit aws-cloudformation-bedrock --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock .agents/skills/aws-cloudformation-bedrock && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aws-cloudformation-bedrock" agent skill from https://github.com/giuseppe-trisciuoglio/developer-kit/tree/main/plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock into .agents/skills/aws-cloudformation-bedrock/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-cloudformation-bedrock", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-bedrock -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install giuseppe-trisciuoglio/developer-kit aws-cloudformation-bedrock --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock .cursor/skills/aws-cloudformation-bedrock && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "aws-cloudformation-bedrock" agent skill from https://github.com/giuseppe-trisciuoglio/developer-kit/tree/main/plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock into .cursor/skills/aws-cloudformation-bedrock/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-cloudformation-bedrock", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/giuseppe-trisciuoglio/developer-kit.git --path plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-bedrock -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install giuseppe-trisciuoglio/developer-kit aws-cloudformation-bedrock --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock .gemini/skills/aws-cloudformation-bedrock && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "aws-cloudformation-bedrock" agent skill from https://github.com/giuseppe-trisciuoglio/developer-kit/tree/main/plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock into .gemini/skills/aws-cloudformation-bedrock/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-cloudformation-bedrock", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install giuseppe-trisciuoglio/developer-kit aws-cloudformation-bedrockInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-bedrock -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock .github/skills/aws-cloudformation-bedrock && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "aws-cloudformation-bedrock" agent skill from https://github.com/giuseppe-trisciuoglio/developer-kit/tree/main/plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock into .github/skills/aws-cloudformation-bedrock/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-cloudformation-bedrock", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-bedrock -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install giuseppe-trisciuoglio/developer-kit aws-cloudformation-bedrock --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock .opencode/skills/aws-cloudformation-bedrock && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "aws-cloudformation-bedrock" agent skill from https://github.com/giuseppe-trisciuoglio/developer-kit/tree/main/plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock into .opencode/skills/aws-cloudformation-bedrock/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-cloudformation-bedrock", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
aws-cloudformation-bedrockProvides AWS CloudFormation patterns for Amazon Bedrock resources including agents, knowledge bases, data sources, guardrails, prompts, flows, and inference profiles.
AWS Cloudformation Bedrock is an agent skill from giuseppe-trisciuoglio/developer-kit. Provides AWS CloudFormation patterns for Amazon Bedrock resources including agents, knowledge bases, data sources, guardrails, prompts, flows, and inference profiles. Use when creating Bedrock agents with action groups, implementing RAG with knowledge bases, configuring vector stores, setting up content moderation guardrails, managing prompts, orchestrating workflows with flows, and configuring inference profiles for model optimization.
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/constraints.md`, `references/examples.md` and `references/reference.md`).
It sits in AI & LLM Engineering, covering LLM guardrails, Knowledge bases and Retrieval-augmented generation. It works with AWS CloudFormation and Amazon Bedrock. The repository describes itself as: Modular plugin marketplace for Claude Code and agentic CLIs, with validated, spec-driven skills, agents, commands, and workflows for Java, TypeScript, Python, PHP, AWS, and AI. The licence is MIT.
9 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit fe73fb3. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteBashFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
awsFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.aws.amazon.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
AWS Cloudformation Bedrock loads about 3.2k tokens when it runs, and up to ~24k if it reads all its reference files. Until then it costs about 117 tokens; SKILL.md has 561 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, BashAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from giuseppe-trisciuoglio/developer-kit at commit fe73fb3, republished under its MIT licence (© giuseppe-trisciuoglio). 561 words, ~3,248 tokens.
.claude/skills/aws-cloudformation-bedrock/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Creates production-ready AI infrastructure using AWS CloudFormation templates for Amazon Bedrock. Covers Bedrock agents, knowledge bases for RAG implementations, data source connectors, guardrails for content moderation, prompt management, workflow orchestration with flows, and inference profiles for optimized model access.
Parameters:
FoundationModel:
Type: String
Default: anthropic.claude-3-sonnet-20240229-v1:0
AllowedValues:
- anthropic.claude-3-sonnet-20240229-v1:0
- anthropic.claude-3-haiku-20240307-v1:0
- amazon.titan-text-express-v1
Description: Foundation model for agentResources:
AgentRole:
Type: AWS::IAM::Role
Properties:
AssumeRolePolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: Allow
Principal:
Service: bedrock.amazonaws.com
Action: sts:AssumeRole
Policies:
- PolicyName: BedrockPermissions
PolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: Allow
Action:
- bedrock:InvokeModel
Resource: !Sub "arn:aws:bedrock:${AWS::Region}:${AWS::AccountId}:foundation-model/${FoundationModel}" BedrockAgent:
Type: AWS::Bedrock::Agent
Properties:
AgentName: !Sub "${AWS::StackName}-agent"
AgentResourceRoleArn: !GetAtt AgentRole.Arn
FoundationModelArn: !Sub "arn:aws:bedrock:${AWS::Region}::foundation-model/${FoundationModel}"
AutoPrepare: true
Instruction: |
You are a helpful assistant. Use the knowledge base to answer questions. KnowledgeBaseRole:
Type: AWS::IAM::Role
Properties:
AssumeRolePolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: Allow
Principal:
Service: bedrock.amazonaws.com
Action: sts:AssumeRole
KnowledgeBase:
Type: AWS::Bedrock::KnowledgeBase
Properties:
Name: !Sub "${AWS::StackName}-kb"
RoleArn: !GetAtt KnowledgeBaseRole.Arn
KnowledgeBaseConfiguration:
Type: VECTOR
VectorKnowledgeBaseConfiguration:
EmbeddingModelArn: !Sub "arn:aws:bedrock:${AWS::Region}::embedding-model/amazon.titan-embed-text-v1" DataBucket:
Type: AWS::S3::Bucket
S3DataSource:
Type: AWS::Bedrock::DataSource
Properties:
KnowledgeBaseId: !Ref KnowledgeBase
Name: s3-data-source
Type: S3
DataSourceConfiguration:
S3Configuration:
BucketArn: !GetAtt DataBucket.Arn
InclusionPrefixes:
- documents/ Guardrail:
Type: AWS::Bedrock::Guardrail
Properties:
Name: !Sub "${AWS::StackName}-guardrail"
BlockedInputMessaging: "I cannot help with that request."
ContentPolicyConfig:
filtersConfig:
- type: PROFANITY
- type: MISCONDUCT ActionLambdaFunction:
Type: AWS::Lambda::Function
Properties:
Runtime: python3.12
Handler: index.handler
Role: !GetAtt ActionLambdaRole.Arn
Code:
ZipFile: |
def handler(event, context):
return {"statusCode": 200, "body": "{\"result\": \"success\"}"}
ActionGroup:
Type: AWS::Bedrock::AgentActionGroup
Properties:
ActionGroupName: api-operations
ActionGroupState: ENABLED
AgentId: !GetAtt BedrockAgent.AgentId
ActionGroupExecutor:
Lambda: !Ref ActionLambdaFunction
FunctionSchema:
functionConfigurations:
- function: |
{ "name": "get_inventory", "description": "Get current inventory status", "parameters": { "type": "object", "properties": { "sku": { "type": "string" } }, "required": [] } }Always validate the template before deployment:
aws cloudformation validate-template --template-body file://bedrock-template.yaml# Check agent status
aws bedrock-agent get-agent --agent-id $(aws cloudformation describe-stacks --stack-name STACK_NAME --query 'Stacks[0].Outputs[?OutputKey==`AgentId`].OutputValue' --output text)
# Check knowledge base sync status
aws bedrock-agent list-knowledge-bases --agent-id AGENT_ID
# Test guardrail
aws bedrock-runtime apply_guardrail --guardrail-identifier GUARDRAIL_ID --source SOURCEComplete working template for a RAG-enabled agent:
AWSTemplateFormatVersion: "2010-09-09"
Description: "Bedrock RAG Agent with Knowledge Base"
Parameters:
FoundationModel:
Type: String
Default: anthropic.claude-3-sonnet-20240229-v1:0
Resources:
# IAM Role for Agent
AgentRole:
Type: AWS::IAM::Role
Properties:
RoleName: !Sub "${AWS::StackName}-agent-role"
AssumeRolePolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: Allow
Principal:
Service: bedrock.amazonaws.com
Action: sts:AssumeRole
Policies:
- PolicyName: InvokeModel
PolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: Allow
Action: bedrock:InvokeModel
Resource: "*"
# IAM Role for Knowledge Base
KnowledgeBaseRole:
Type: AWS::IAM::Role
Properties:
RoleName: !Sub "${AWS::StackName}-kb-role"
AssumeRolePolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: Allow
Principal:
Service: bedrock.amazonaws.com
Action: sts:AssumeRole
Policies:
- PolicyName: S3Access
PolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: Allow
Action: s3:GetObject
Resource: !Sub "${DataBucket.Arn}/*"
# S3 Bucket for Documents
DataBucket:
Type: AWS::S3::Bucket
# Knowledge Base
KnowledgeBase:
Type: AWS::Bedrock::KnowledgeBase
Properties:
Name: !Sub "${AWS::StackName}-kb"
RoleArn: !GetAtt KnowledgeBaseRole.Arn
KnowledgeBaseConfiguration:
Type: VECTOR
VectorKnowledgeBaseConfiguration:
EmbeddingModelArn: !Sub "arn:aws:bedrock:${AWS::Region}::embedding-model/amazon.titan-embed-text-v1"
# Data Source
DataSource:
Type: AWS::Bedrock::DataSource
Properties:
KnowledgeBaseId: !Ref KnowledgeBase
Name: !Sub "${AWS::StackName}-ds"
Type: S3
DataSourceConfiguration:
S3Configuration:
BucketArn: !GetAtt DataBucket.Arn
# Bedrock Agent
BedrockAgent:
Type: AWS::Bedrock::Agent
Properties:
AgentName: !Sub "${AWS::StackName}-agent"
AgentResourceRoleArn: !GetAtt AgentRole.Arn
FoundationModelArn: !Sub "arn:aws:bedrock:${AWS::Region}::foundation-model/${FoundationModel}"
AutoPrepare: true
Instruction: |
You are a helpful assistant. Use the knowledge base to answer user questions accurately.
Outputs:
AgentId:
Description: Bedrock Agent ID
Value: !GetAtt BedrockAgent.AgentId
KnowledgeBaseId:
Description: Knowledge Base ID
Value: !Ref KnowledgeBaseResources:
Guardrail:
Type: AWS::Bedrock::Guardrail
Properties:
Name: !Sub "${AWS::StackName}-guardrail"
blockedInputMessaging: "Content blocked by safety filters."
blockedOutputMessaging: "Response filtered for safety."
contentPolicyConfig:
filtersConfig:
- type: PROFANITY
inputStrength: HIGH
outputStrength: HIGH
- type: MISCONDUCT
inputStrength: HIGH
outputStrength: HIGH
sensitiveInformationPolicyConfig:
piiEntitiesConfig:
- type: EMAIL
action: ANONYMIZE
- type: SSN
action: BLOCKaws cloudformation validate-template before deployFor detailed limits, see constraints.md:
© giuseppe-trisciuoglio, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock of giuseppe-trisciuoglio/developer-kit.
Open the folder on GitHubat commit fe73fb3
AWS Cloudformation Bedrock next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AWS Cloudformation Bedrock this skillgiuseppe-trisciuoglio/developer-kit | 357 | — | ~3.2k | Automated safety check: Notes | MIT | |
| Amazon Bedrockaws/agent-toolkit-for-aws | 2.8k | — | ~8.6k | Automated safety check: Pass | Apache-2.0 | |
| Sap AI Coresecondsky/sap-skills | 462 | — | ~3.3k | Automated safety check: Pass | GPL-3.0 | |
| Context Retrievalseb1n/awesome-ai-agent-skills | 206 | — | ~2.1k | Automated safety check: Pass | MIT | |
| AI Engineerkid-sid/claude-spellbook | 190 | — | ~3.7k | Automated safety check: Pass | MIT | |
| RAG Pipelinebrightdata/skills | 264 | — | ~1.9k | Automated safety check: Pass | MIT |
aws/agent-toolkit-for-aws
Builds generative AI applications on Amazon Bedrock. An agent skill from aws/agent-toolkit-for-aws.
secondsky/sap-skills
Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP.
seb1n/awesome-ai-agent-skills
Retrieve relevant information from a knowledge base using semantic, keyword, or hybrid search to ground a query.
kid-sid/claude-spellbook
A skill your agent uses when building production LLM applications — designing RAG pipelines, choosing vector databases, implementing agent orchestration, optimizing cost, or adding AI safety…
brightdata/skills
Build a RAG (retrieval-augmented generation) pipeline or a custom search engine on top of Bright Data's Discover API — using intent-ranked web results + parsed page content as the…
modelstudioai/cli
Manages Alibaba Cloud Bailian knowledge bases with the bl command line: create bases, upload documents, deploy search services, fix chunks and handle data center files.
giuseppe-trisciuoglio/developer-kit
Generates complete CRUD modules for NestJS applications with Drizzle ORM.
giuseppe-trisciuoglio/developer-kit
Provides patterns to configure Spring Boot Actuator for production-grade monitoring, health probes, secured management endpoints, and Micrometer metrics across JVM services.
giuseppe-trisciuoglio/developer-kit
Provides and generates complete CRUD workflows for Spring Boot 3 services.
giuseppe-trisciuoglio/developer-kit
Provides JWT authentication and authorization patterns for Spring Boot 3.5.x covering token generation with JJWT, Bearer/cookie authentication, database/OAuth2 integration, and RBAC/permission-based…
giuseppe-trisciuoglio/developer-kit
Provides advanced AWS CLI patterns for managing EC2, Lambda, S3, DynamoDB, RDS, VPC, IAM, and CloudWatch.
giuseppe-trisciuoglio/developer-kit
Posts review findings from a JSON file as inline comments on a GitHub Pull Request, attaching each comment to its file and line.
Works with
Categories
Provides AWS CloudFormation patterns for Amazon Bedrock resources including agents, knowledge bases, data sources, guardrails, prompts, flows, and inference profiles. AWS Cloudformation Bedrock is an agent skill from giuseppe-trisciuoglio/developer-kit. Provides AWS CloudFormation patterns for Amazon Bedrock resources including agents, knowledge bases, data sources, guardrails, prompts, flows, and inference profiles.
AWS Cloudformation Bedrock fits situations like: creating Bedrock agents with action groups; implementing RAG with knowledge bases; configuring vector stores; setting up content moderation guardrails.
Run `npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-bedrock -a claude-code`. Or copy the skill folder (plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock in giuseppe-trisciuoglio/developer-kit) into .claude/skills/aws-cloudformation-bedrock in your project. Claude Code loads it when a task matches its description.
Run `npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-bedrock -a codex`. Or copy the skill folder (plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock in giuseppe-trisciuoglio/developer-kit) into .agents/skills/aws-cloudformation-bedrock in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-bedrock -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aws-cloudformation-bedrock, .gemini/skills/aws-cloudformation-bedrock, .github/skills/aws-cloudformation-bedrock and .opencode/skills/aws-cloudformation-bedrock in your project.
Going by SKILL.md and its folder, AWS Cloudformation Bedrock needs the command-line tools its instructions call (aws). Its frontmatter pre-approves these tools: Read, Write, Bash.
SKILL.md names 1 domain. As links in the text: docs.aws.amazon.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
AWS Cloudformation Bedrock is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 21k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with AWS Cloudformation Bedrock: Amazon Bedrock (aws/agent-toolkit-for-aws, 2.8k stars), Sap AI Core (secondsky/sap-skills, 462 stars), Context Retrieval (seb1n/awesome-ai-agent-skills, 206 stars) and AI Engineer (kid-sid/claude-spellbook, 190 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
giuseppe-trisciuoglio (a GitHub user) maintains it in giuseppe-trisciuoglio/developer-kit, which has 357 GitHub stars. The repository holds 115 skills in this directory. The repository was last updated on September 10, 2026.
Source: giuseppe-trisciuoglio/developer-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.