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Choose tools and workflows for 3D modeling, dimensioned CAD parts, scan processing, rendering, and fabrication. Capability tables and recipes help connect tasks from photographs or initial designs to printable parts, CNC toolpaths, or game assets.

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• Plan a workflow from dimensioned CAD to 3D printing
• Model and export a game asset
• Reconstruct a 3D model from photographs

Manage files and storage buckets in Tigris through its official CLI. Agents can upload and download objects, generate temporary sharing URLs, take snapshots, and manage access keys and permissions with structured JSON output.

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• Upload, download, and copy files in Tigris
• Create temporary upload or download links
• Take a bucket snapshot before making changes

Work with large scientific arrays by storing data in smaller blocks and reading selected portions. Guides compression, cloud storage, format migration, and NumPy, Dask, or Xarray integration while preserving dimensions, units, and other metadata.

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• Reading selected regions of large scientific arrays
• Choosing data blocks and compression settings
• Working with scientific arrays stored on S3 or GCS

Retrieve, validate, and export protocols.io experimental procedures while preserving version and attribution details. Check saved JSON offline, save protocol PDFs, or prepare reviewable plans for updates and publication; bundled scripts do not execute changes.

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• Retrieve a specific version of an experimental protocol
• Validate saved protocol JSON offline
• Export a protocol as a PDF

Optimize scientific Python workloads for NVIDIA GPUs by choosing suitable libraries and reducing bottlenecks. Compare outputs with the CPU version and measure complete processing time, including data transfers, to determine whether the GPU implementation provides a useful improvement.

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• Assess whether slow Python processing would benefit from a GPU
• Move NumPy or pandas workloads to suitable GPU libraries
• Validate GPU results against CPU outputs

Find and download public cancer imaging data from NCI Imaging Data Commons. Select CT, MR, PET, or pathology datasets using metadata, view images in a browser, and check licenses and citations before using the data.

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• Find cancer images by disease, modality, or anatomical site
• Download selected DICOM image series
• View radiology and pathology images in a browser

Manage scientific datasets with DataLad and git-annex, which tracks large files separately from Git history. Retrieve selected data, record analysis commands and their inputs and outputs, rerun recorded work, and publish history alongside file content.

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• Retrieve only the research data you need
• Resolve files that contain pointers instead of data
• Record and rerun analysis steps

Process molecular datasets in Python through a simpler interface to RDKit, a chemistry toolkit. Convert and standardize structures, calculate molecular properties, compare and cluster compounds, generate 3D conformations, and visualize results for drug discovery workflows.

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• Load and standardize molecular datasets
• Calculate molecular properties and similarities
• Cluster compounds and select diverse subsets

Analyze a project’s code and existing settings to recommend useful Claude Code automations. Receive tailored suggestions for event-triggered actions, specialist agents, skills, plugins, and external tool connections, with reasons and setup locations.

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• Choosing Claude Code features for a new project
• Finding ways to automate formatting and checks
• Selecting external tool connections for the project

Create or update reusable skills for AI agents. Plan clear instructions, organize scripts, reference documents, and templates, then validate the skill and package its files for distribution.

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• Turn recurring tasks into reusable agent skills
• Simplify an existing SKILL.md and organize references
• Bundle scripts and templates with a skill

Configure MCP connections, which link AI agents to tools, for AWS documentation search and API access. Check existing settings, choose between documentation-only and full API access, verify available tools, and troubleshoot connection or credential problems.

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• Set up AWS documentation search for an AI agent
• Configure an MCP connection for AWS API access
• Check existing AWS MCP settings

Review AWS spending and identify savings through resource sizing, unused resource cleanup, discount commitments, and storage policies. It also guides budget alerts and recurring cost reviews so teams can track spending and plan changes using usage data.

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• Investigating an unexpected AWS bill increase
• Preparing cost reviews with engineering and finance
• Comparing Savings Plans and Reserved Instances

Deploy and manage virtual servers on Amazon EC2. Covers instance selection, reusable machine images and launch templates, automatic capacity changes, Spot instances, and troubleshooting, with AWS CLI commands and Terraform configuration examples.

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• Launch EC2 servers for application hosting
• Create reusable machine images and launch templates
• Configure automatic scaling for changing demand

Store database credentials and API keys in AWS Secrets Manager, configure automatic credential changes, and connect applications to stored secrets. Follow examples for access policies, Lambda rotation functions, and integration with ECS and EKS.

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• Move hardcoded credentials into AWS Secrets Manager
• Configure automatic database credential rotation
• Provide stored secrets to ECS and EKS workloads

Support authorized penetration testing of AWS environments by examining IAM permissions and resources such as S3, EC2, and Lambda. It guides identifying privilege escalation paths, where access can be expanded, and documenting security audit findings.

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• Review IAM permissions for privilege escalation paths
• Assess access to S3 buckets and Lambda functions
• Validate credential exposure risks through EC2 metadata

Estimate AWS costs before deployment, analyze spending trends, and investigate metrics and logs with CloudWatch. The skill guides cost reviews, alert setup, and operational improvements through connected tools, with additional integrations for audits and security assessments.

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• Estimating monthly AWS costs before deployment
• Investigating unexpected charges and spending trends
• Setting up CloudWatch alarms and investigating logs

Deploy and operate AI agents with AWS Bedrock AgentCore. Choose services for hosting agents, connecting external APIs, managing credentials and conversation state, monitoring activity, and assessing agent quality through automated evaluations.

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• Plan an agent deployment on AgentCore
• Expose a REST API as an agent tool through MCP
• Configure credentials and access controls

Provision and manage Amazon RDS relational databases on AWS. Follow guidance for backups, recovery, security, monitoring, multi-zone redundancy, and read replicas—database copies that handle read traffic—with AWS CLI commands and a Terraform configuration example.

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• Deploy a managed PostgreSQL or MySQL database
• Configure multi-zone redundancy and read replicas
• Set up backups and restore to a specific point in time

Plan AWS infrastructure changes by checking application requirements and existing configuration, then selecting guidance from an external skill collection. Produces a reviewable plan covering access permissions, networking, cost assumptions, validation, and rollback.

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• Choosing an AWS architecture for an existing application
• Reviewing an infrastructure plan before deployment
• Planning changes with minimal access permissions

Build and deploy AWS Lambda functions without managing servers. Guidance covers APIs, scheduled jobs, event triggers, permissions, shared dependencies, and performance tuning, with code and command examples for deployment and troubleshooting.

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• Building lightweight APIs with API Gateway or function URLs
• Running scheduled jobs with EventBridge
• Processing S3 uploads or SQS messages

Identify unused AWS resources, estimate potential savings, and prepare cleanup scripts with preview steps. Covers storage retention policies and scheduled cleanup so teams can review dependencies before removing resources and track the resulting savings.

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• Inventory unused resources and estimate savings
• Prepare cleanup scripts for EBS volumes and Elastic IPs
• Review S3 versions and storage retention rules

Build AWS applications that run without managing servers directly. Covers Lambda functions, APIs, DynamoDB storage, message-driven workflows with SQS/SNS, deployment through SAM/CDK, and reducing the delay when a function starts for the first time.

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• Building an API with Lambda and API Gateway
• Developing an application backed by DynamoDB
• Designing event-driven workflows with SQS/SNS

Set up AWS CloudTrail to record activity across accounts, protect audit logs, and alert on sensitive operations. Includes guidance for querying past events with Athena or CloudTrail Lake and checking log integrity during investigations.

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• Set up audit logging across AWS accounts
• Investigate suspicious API activity
• Configure alerts for sensitive operations

Configure Amazon S3 storage with encryption, access restrictions, and version history. Set rules for moving or deleting older files, replicate data across regions, create temporary access links, and investigate permission or policy problems.

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• Create buckets with encryption and public access blocked
• Set rules for archiving or deleting older files
• Replicate data to another region