Agent skill

AWS Cloudformation S3

by giuseppe-trisciuoglio in giuseppe-trisciuoglio/developer-kit

Provides AWS CloudFormation patterns for Amazon S3. An agent skill from giuseppe-trisciuoglio/developer-kit.

MITAuto-check: notesBackend & APIs

Install AWS Cloudformation S3

skills CLI
$ npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-s3 -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install giuseppe-trisciuoglio/developer-kit aws-cloudformation-s3 --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-s3 .claude/skills/aws-cloudformation-s3 && rm -rf skills-src

Use ~/.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/

Facts

Skill name
aws-cloudformation-s3
GitHub stars
357
Token cost
~1.8k tokens
SKILL.md length
485 words
Files
5 (incl. references)
Skills in repo
115
Repo updated
First seen
Licence
MIT

At a glance

Provides AWS CloudFormation patterns for Amazon S3. An agent skill from giuseppe-trisciuoglio/developer-kit.

  • Works in 5 steps: Define Bucket Resources: Create… → Configure Bucket Policy: Set up IAM… → Set Up Lifecycle Rules: Define… → …
  • Creating S3 buckets
  • SKILL.md covers When to Use, Overview, Instructions and Quick Reference, plus 7 more sections
  • Calls aws

What it does

AWS Cloudformation S3 is an agent skill from giuseppe-trisciuoglio/developer-kit. Provides AWS CloudFormation patterns for Amazon S3. Use when creating S3 buckets, policies, versioning, lifecycle rules, and implementing template structure with Parameters, Outputs, Mappings, Conditions, and cross-stack references.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/advanced-configuration.md`, `references/complete-examples.md` and `references/examples.md`).

It sits in Backend & APIs, covering File uploads and storage. It works with AWS CloudFormation and Amazon S3. 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.

When your agent uses it

  • Creating S3 buckets
  • Lifecycle rules
  • Implementing template structure with Parameters
  • Cross-stack references

Example prompts

  • “Use the aws-cloudformation-s3 skill to provide AWS CloudFormation patterns for Amazon S3. An agent skill from giuseppe-trisciuoglio/developer-kit”
  • “/aws-cloudformation-s3”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Bash

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Define Bucket Resources: Create AWS::S3::Bucket with versioning, encryption, PublicAccessBlock
  2. Configure Bucket Policy: Set up IAM policies for access control
  3. Set Up Lifecycle Rules: Define transitions and expiration policies
  4. Configure CORS: Allow cross-origin requests if needed
  5. Add Outputs: Export bucket names/ARNs for cross-stack references

What it can do on your machine

Read from SKILL.md and the folder at commit fe73fb3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • aws

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use aws, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

AWS Cloudformation S3 loads about 1.8k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 485 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~14k

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.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Bash

Automated 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.

SKILL.md

The full file from giuseppe-trisciuoglio/developer-kit at commit fe73fb3, republished under its MIT licence (© giuseppe-trisciuoglio). 485 words, ~1,816 tokens.

Download SKILL.mdSave it as .claude/skills/aws-cloudformation-s3/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
aws-cloudformation-s3
description
Provides AWS CloudFormation patterns for Amazon S3. Use when creating S3 buckets, policies, versioning, lifecycle rules, and implementing template structure with Parameters, Outputs, Mappings, Conditions, and cross-stack references.
allowed-tools
Read, Write, Bash

AWS CloudFormation S3 Patterns

Provides S3 bucket configurations, policies, versioning, lifecycle rules, and CloudFormation template structure best practices for production-ready infrastructure.

When to Use

  • Creating S3 buckets with custom configurations
  • Implementing bucket policies for access control
  • Configuring S3 versioning for data protection
  • Setting up lifecycle rules for data management
  • Creating Outputs for cross-stack references
  • Using Parameters with AWS-specific types
  • Organizing templates with Mappings and Conditions

Overview

S3 bucket configurations, policies, versioning, lifecycle rules, and CloudFormation template structure for production-ready infrastructure.

Instructions

  1. Define Bucket Resources: Create AWS::S3::Bucket with versioning, encryption, PublicAccessBlock
  2. Configure Bucket Policy: Set up IAM policies for access control
  3. Set Up Lifecycle Rules: Define transitions and expiration policies
  4. Configure CORS: Allow cross-origin requests if needed
  5. Add Outputs: Export bucket names/ARNs for cross-stack references

Validate before deploy:

bash
aws cloudformation validate-template --template-body file://template.yaml

Deploy with rollback on failure:

bash
aws cloudformation deploy \
  --template-file template.yaml \
  --stack-name my-s3-stack \
  --capabilities CAPABILITY_IAM

If deployment fails, CloudFormation automatically rolls back. Check failures with:

bash
aws cloudformation describe-stack-events --stack-name my-s3-stack

Quick Reference

Resource TypePurpose
AWS::S3::BucketCreate S3 bucket
AWS::S3::BucketPolicySet bucket-level policies
AWS::S3::BucketReplicationCross-region replication
ParametersInput values for customization
MappingsStatic configuration tables
ConditionsConditional resource creation
OutputsReturn values for cross-stack references

Examples

Basic S3 Bucket
yaml
Resources:
  DataBucket:
    Type: AWS::S3::Bucket
    Properties:
      BucketName: my-data-bucket
Bucket with Versioning and Encryption
yaml
DataBucket:
  Type: AWS::S3::Bucket
  Properties:
    BucketName: !Sub "${AWS::StackName}-data"
    VersioningConfiguration:
      Status: Enabled
    BucketEncryption:
      ServerSideEncryptionConfiguration:
        - ServerSideEncryptionByDefault:
            SSEAlgorithm: AES256
    PublicAccessBlockConfiguration:
      BlockPublicAcls: true
      BlockPublicPolicy: true
Lifecycle Rule
yaml
DataBucket:
  Type: AWS::S3::Bucket
  Properties:
    LifecycleConfiguration:
      Rules:
        - Id: ArchiveOldData
          Status: Enabled
          Transitions:
            - StorageClass: GLACIER
              TransitionInDays: 365
Bucket Policy
yaml
BucketPolicy:
  Type: AWS::S3::BucketPolicy
  Properties:
    Bucket: !Ref DataBucket
    PolicyDocument:
      Statement:
        - Effect: Allow
          Principal:
            AWS: !Ref RoleArn
          Action:
            - s3:GetObject
          Resource: !Sub "${DataBucket.Arn}/*"

See references/complete-examples.md for more complete examples including CORS, static websites, replication, and production-ready configurations.

Template Structure

Template Sections
yaml
AWSTemplateFormatVersion: 2010-09-09
Description: Template description

Mappings: {}       # Static configuration tables
Metadata: {}       # Additional information
Parameters: {}     # Input values
Conditions: {}     # Conditional creation
Transform: {}      # Macro processing
Resources: {}      # AWS resources (REQUIRED)
Outputs: {}        # Return values
Parameters
yaml
Parameters:
  BucketName:
    Type: String
    Description: S3 bucket name
    Default: my-bucket
    MinLength: 3
    MaxLength: 63
    AllowedPattern: '^[a-z0-9-]+$'
Conditions
yaml
Conditions:
  IsProduction: !Equals [!Ref Environment, prod]
  ShouldEnableVersioning: !Equals [!Ref EnableVersioning, 'true']

Resources:
  DataBucket:
    Type: AWS::S3::Bucket
    Properties:
      VersioningConfiguration:
        Status: !If [ShouldEnableVersioning, Enabled, Suspended]
Outputs
yaml
Outputs:
  BucketName:
    Description: Name of the S3 bucket
    Value: !Ref DataBucket
    Export:
      Name: !Sub '${AWS::StackName}-BucketName'

See references/advanced-configuration.md for detailed Mappings, Conditions, Parameters, and cross-stack references.

Best Practices

  1. Public Access Block: Always enable for non-static website buckets
  2. Versioning: Enable for critical data to prevent accidental deletion
  3. Bucket Policies: Use instead of ACLs for access control
  4. Lifecycle Rules: Implement cost optimization with tiering
  5. Encryption: Enable default encryption (SSE-KMS or AES256)
  6. Tags: Tag all resources for organization and cost allocation
  7. Outputs: Export bucket names/ARNs for cross-stack references
  8. Parameters: Use parameters for reusability across environments
Show full SKILL.md (185 more words)Show less

Common Troubleshooting

Bucket already exists: Use unique bucket names with CloudFormation stack name Access denied: Verify bucket policy and IAM permissions Versioning conflicts: Cannot suspend versioning once objects exist Lifecycle not working: Check rule status and prefix filters Cross-stack references: Ensure outputs are exported before importing

References

Complete Examples
  • references/complete-examples.md - Basic buckets, versioning, lifecycle, CORS, policies, production stacks, event notifications, static websites, replication
Advanced Configuration

Constraints and Warnings

  • Bucket names: Must be globally unique (across all AWS accounts)
  • Versioning: Cannot be suspended once objects exist in bucket
  • Lifecycle rules: Minimum 1 day for expiration, 0 days for transitions
  • Bucket policies: Limited to 20 KB in size
  • Public access: Blocked by default; requires explicit configuration
  • CORS: Limited to 100 rules per bucket
  • Replication: Versioning must be enabled on both source and destination
  • Encryption: KMS keys must be in same region as bucket
  • Tags: Maximum 50 tags per resource
  • Stack limits: CloudFormation limits resources per stack (200 default)

© 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

Files

SKILL.md and 4 other files (references) in plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-s3 of giuseppe-trisciuoglio/developer-kit.

  • SKILL.md
  • references/advanced-configuration.md
  • references/complete-examples.md
  • references/examples.md
  • references/reference.md

Open the folder on GitHubat commit fe73fb3

Compare with similar skills

AWS Cloudformation S3 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.

AWS Cloudformation S3 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
AWS Cloudformation S3 this skillgiuseppe-trisciuoglio/developer-kit357—~1.8kAutomated safety check: NotesMIT
Processing S3 Uploads With Step Functionsaws/agent-toolkit-for-aws2.8k—~4kAutomated safety check: PassApache-2.0
S3 User Filesaws-samples/sample-host-openclaw-on-amazon-bedrock-agentcore177—~779Automated safety check: PassMIT-0
Django Storages for S3Jeffallan/claude-skills12k—~1.9kAutomated safety check: PassMIT
Neon Object Storageneondatabase/agent-skills100—~3.5kAutomated safety check: NotesApache-2.0
AWS S3sickn33/agentic-awesome-skills47k2 repos~3.1kAutomated safety check: PassMIT

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Categories

Questions about AWS Cloudformation S3

What does AWS Cloudformation S3 do?

Provides AWS CloudFormation patterns for Amazon S3. An agent skill from giuseppe-trisciuoglio/developer-kit. AWS Cloudformation S3 is an agent skill from giuseppe-trisciuoglio/developer-kit. Provides AWS CloudFormation patterns for Amazon S3.

When should I use AWS Cloudformation S3?

AWS Cloudformation S3 fits situations like: creating S3 buckets; lifecycle rules; implementing template structure with Parameters; cross-stack references.

How do I install AWS Cloudformation S3 in Claude Code?

Run `npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-s3 -a claude-code`. Or copy the skill folder (plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-s3 in giuseppe-trisciuoglio/developer-kit) into .claude/skills/aws-cloudformation-s3 in your project. Claude Code loads it when a task matches its description.

How do I install AWS Cloudformation S3 in Codex?

Run `npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-s3 -a codex`. Or copy the skill folder (plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-s3 in giuseppe-trisciuoglio/developer-kit) into .agents/skills/aws-cloudformation-s3 in your project. Codex loads it when a task matches its description.

Can I use AWS Cloudformation S3 in Cursor, Gemini CLI or GitHub Copilot?

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-s3 -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-s3, .gemini/skills/aws-cloudformation-s3, .github/skills/aws-cloudformation-s3 and .opencode/skills/aws-cloudformation-s3 in your project.

What does AWS Cloudformation S3 need to run?

Going by SKILL.md and its folder, AWS Cloudformation S3 needs the command-line tools its instructions call (aws). Its frontmatter pre-approves these tools: Read, Write, Bash.

Does AWS Cloudformation S3 access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is AWS Cloudformation S3 safe to install?

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.

What licence does AWS Cloudformation S3 use?

AWS Cloudformation S3 is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does AWS Cloudformation S3 use?

About 1.8k tokens (SKILL.md is roughly 7.3k 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 12k tokens, read only when the agent opens those files.

What are the alternatives to AWS Cloudformation S3?

Skills that share tags, products or a category with AWS Cloudformation S3: Processing S3 Uploads With Step Functions (aws/agent-toolkit-for-aws, 2.8k stars), S3 User Files (aws-samples/sample-host-openclaw-on-amazon-bedrock-agentcore, 177 stars), Django Storages for S3 (Jeffallan/claude-skills, 12k stars) and Neon Object Storage (neondatabase/agent-skills, 100 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AWS Cloudformation S3?

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.