Agent skill

Architecting Networks

by ancoleman in ancoleman/ai-design-components

Design cloud network architectures with VPC patterns, subnet strategies, zero trust principles, and hybrid connectivity.

MITAuto-check passedDevOps & Cloud

Install Architecting Networks

skills CLI
$ npx skills add ancoleman/ai-design-components --skill architecting-networks -a claude-code

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

GitHub CLI
$ gh skill install ancoleman/ai-design-components architecting-networks --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/ancoleman/ai-design-components.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/architecting-networks .claude/skills/architecting-networks && 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
architecting-networks
GitHub stars
526
Token cost
~3.9k tokens
SKILL.md length
1,555 words
Files
15 (incl. scripts, references)
Skills in repo
75
Repo updated
First seen
Licence
MIT

At a glance

Design cloud network architectures with VPC patterns, subnet strategies, zero trust principles, and hybrid connectivity.

  • Works in 6 steps: Analyze Requirements → Select Pattern → Design Subnets → …
  • Planning VPC topology
  • SKILL.md covers When to Use This Skill, Core Network Architecture…, Pattern Selection Framework and Subnet Strategy, plus 6 more sections
  • Runs Python scripts from its folder

What it does

Architecting Networks is an agent skill from ancoleman/ai-design-components. Design cloud network architectures with VPC patterns, subnet strategies, zero trust principles, and hybrid connectivity. Use when planning VPC topology, implementing multi-cloud networking, or establishing secure network segmentation for cloud workloads.

Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including scripts and reference files (for example `outputs.yaml`, `references/cost-optimization.md` and `references/hybrid-connectivity.md`).

It sits in DevOps & Cloud, covering Cloud architecture and Software architecture. The repository describes itself as: Comprehensive UI/UX and Backend component design skills for AI-assisted development with Claude. The licence is MIT.

When your agent uses it

  • Planning VPC topology
  • Implementing multi-cloud networking
  • Establishing secure network segmentation for cloud workloads

Example prompts

  • “/architecting-networks”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Analyze Requirements
  2. Select Pattern
  3. Design Subnets
  4. Configure Security
  5. Implement with IaC
  6. Enable Observability

What it can do on your machine

Read from SKILL.md and the folder at commit 76551b7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

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

  • Network

    No URLs in SKILL.md.

    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

Architecting Networks loads about 3.9k tokens when it runs, and up to ~22k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 1,555 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~22k

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 passed

The automated check found no risky patterns in SKILL.md.

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); the scripts in this folder are not scanned.

SKILL.md

The full file from ancoleman/ai-design-components at commit 76551b7, republished under its MIT licence (© ancoleman). 1,555 words, ~3,897 tokens.

Download SKILL.mdSave it as .claude/skills/architecting-networks/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.
name
architecting-networks
description
Design cloud network architectures with VPC patterns, subnet strategies, zero trust principles, and hybrid connectivity. Use when planning VPC topology, implementing multi-cloud networking, or establishing secure network segmentation for cloud workloads.

Network Architecture

Design secure, scalable cloud network architectures using proven patterns across AWS, GCP, and Azure. This skill provides decision frameworks for VPC design, subnet strategy, zero trust implementation, and hybrid connectivity.

When to Use This Skill

Invoke this skill when:

  • Designing VPC/VNet topology for new cloud environments
  • Implementing network segmentation and security controls
  • Planning multi-VPC or multi-cloud connectivity
  • Establishing hybrid cloud connectivity (on-premises to cloud)
  • Migrating from flat network to sophisticated architecture
  • Implementing zero trust network principles
  • Optimizing network costs and performance

Core Network Architecture Patterns

Pattern 1: Flat (Single VPC) Architecture

Use When: Small applications, single environment, simple security requirements, team < 10 engineers

Characteristics:

  • All resources in one VPC with subnet-level segmentation
  • Public, private, and database subnet tiers
  • Simplest to understand and manage
  • No inter-VPC routing complexity

Tradeoffs:

  • ✓ Lowest cost, fastest to set up
  • ✗ Poor isolation, difficult to scale, entire VPC is blast radius
Pattern 2: Multi-VPC (Isolated) Architecture

Use When: Multiple environments (dev/staging/prod), strong isolation requirements, compliance mandates separation

Characteristics:

  • Separate VPCs per environment or workload
  • No direct connectivity without explicit setup
  • Independent CIDR ranges

Tradeoffs:

  • ✓ Strong blast radius containment, clear security boundaries
  • ✗ Management overhead, duplicate infrastructure, higher costs
Pattern 3: Hub-and-Spoke (Transit Gateway) Architecture

Use When: 5+ VPCs need communication, centralized security inspection required, hybrid connectivity, multi-account setup

Characteristics:

  • Central hub VPC/Transit Gateway
  • Spoke VPCs connect to hub
  • All inter-VPC traffic routes through hub

Tradeoffs:

  • ✓ Simplified routing, centralized security, scales easily (100+ VPCs)
  • ✗ Transit Gateway costs (~$0.05/hour + $0.02/GB), increased latency (hub hop)
Pattern 4: Full Mesh (VPC Peering) Architecture

Use When: Small number of VPCs (< 5), low latency critical, no centralized inspection needed

Characteristics:

  • Every VPC directly connected via peering
  • Direct VPC-to-VPC communication

Tradeoffs:

  • ✓ Lowest latency, no Transit Gateway costs
  • ✗ Management complexity scales as O(n²), doesn't scale beyond ~10 VPCs
Pattern 5: Hybrid (Multi-Pattern) Architecture

Use When: Large enterprise with diverse requirements, balancing cost/performance/security

Characteristics:

  • Hub-spoke for most VPCs + direct peering for latency-sensitive pairs
  • Combination based on workload requirements

Tradeoffs:

  • ✓ Optimized for specific needs
  • ✗ More complex to design and manage

Pattern Selection Framework

Number of VPCs?
│
├─► 1 VPC → Flat (Single VPC)
├─► 2-4 VPCs + No inter-VPC communication → Multi-VPC (Isolated)
├─► 2-5 VPCs + Low latency critical → Full Mesh (VPC Peering)
├─► 5+ VPCs + Centralized inspection → Hub-and-Spoke (Transit Gateway)
└─► 10+ VPCs + Mixed requirements → Hybrid (Multi-Pattern)

Additional Considerations:
├─► Hybrid connectivity required? → Hub-and-Spoke preferred
├─► Centralized egress/inspection? → Hub-and-Spoke with Inspection VPC
├─► Multi-account environment? → Hub-and-Spoke with AWS RAM sharing
└─► Cost optimization priority? → Flat or Multi-VPC (avoid TGW fees)

Subnet Strategy

Standard Three-Tier Design

Public Subnets:

  • Route to Internet Gateway
  • Use for load balancers, bastion hosts, NAT Gateways
  • CIDR: /24 to /27 (256 to 32 IPs)

Private Subnets:

  • Route to NAT Gateway for outbound
  • Use for application servers, containers, compute workloads
  • CIDR: /20 to /22 (4,096 to 1,024 IPs)

Database Subnets:

  • No direct internet route
  • Use for RDS, ElastiCache, managed databases
  • CIDR: /24 to /26 (256 to 64 IPs)
Multi-AZ Distribution

Production: Distribute each tier across 3 Availability Zones minimum Dev/Test: 1-2 AZs acceptable for cost savings

CIDR Block Planning

VPC Sizing:

  • /16 (65,536 IPs) - Large production environments
  • /20 (4,096 IPs) - Medium environments
  • /24 (256 IPs) - Small/dev environments

Critical Rules:

  • Non-overlapping CIDR ranges across VPCs
  • Coordinate with on-premises network team for hybrid connectivity
  • Reserve address space for future expansion

For detailed subnet planning, see references/subnet-strategy.md

NAT Gateway Strategy

Decision Framework
Cost vs Resilience?
│
├─► Cost Priority (Dev/Test)
│   └─► Single NAT Gateway (~$32/month)
│       └─► Risk: Single point of failure
│
├─► Balanced (Most Production)
│   └─► One NAT Gateway per AZ (~$96/month for 3 AZs)
│       └─► Resilience: AZ failure doesn't break connectivity
│
└─► Maximum Resilience
    └─► Multiple NAT Gateways per AZ + monitoring
        └─► Critical workloads, SLA-dependent

Alternative: Centralized Egress Pattern
└─► Hub-and-Spoke: Single egress VPC with NAT
    └─► Reduces NAT Gateway count, centralized logging

No Outbound Internet Needed?

  • Skip NAT Gateway entirely (cost savings)
  • Use VPC Endpoints for AWS service access

Security Controls

Characteristics:

  • Stateful (return traffic auto-allowed)
  • Instance-level control
  • Allow rules only (implicit deny)
  • Can reference other security groups

Use For:

  • Service-to-service communication
  • Instance-level security
  • Most common use case

Best Practices:

  • Use descriptive names (app-alb-sg, app-backend-sg)
  • Reference other security groups instead of CIDR blocks
  • Keep rules minimal and specific
Network ACLs (Optional)

Characteristics:

  • Stateless (must allow both request and response)
  • Subnet-level control
  • Allow and deny rules
  • Processes rules in order (lowest number first)

Use For:

  • Explicit deny rules (block specific IPs)
  • Compliance requirements (defense in depth)
  • Additional layer beyond security groups

Best Practices:

  • Use sparingly (complex to manage)
  • Remember to allow ephemeral ports (1024-65535)
  • Test thoroughly (stateless nature causes issues)

For security group architecture patterns, see references/security-controls.md

Zero Trust Principles

Core Tenets
  1. Never Trust, Always Verify

    • Authenticate every request regardless of source
    • No implicit trust based on network location
  2. Least Privilege Access

    • Grant minimum necessary permissions
    • Time-bound access (just-in-time)
  3. Assume Breach

    • Segment network aggressively
    • Monitor all traffic
    • Rapid detection and response
Implementation Patterns

Microsegmentation:

  • Isolate every workload with granular security group rules
  • Service-to-service communication only between specific services
  • Reduce blast radius

Identity-Based Access:

  • Use IAM roles instead of IP addresses for authorization
  • VPC Endpoints with IAM policies
  • Service-to-service identity verification

Continuous Verification:

  • VPC Flow Logs for traffic analysis
  • Monitor rejected connections
  • Alert on anomalies

For zero trust architecture patterns, see references/zero-trust-networking.md

Hybrid Connectivity

VPN (Virtual Private Network)

Use When: Dev/test environments, backup connectivity, temporary connections

Characteristics:

  • Encrypted tunnel over public internet
  • Throughput: ~1.25 Gbps per tunnel
  • Latency: Variable (internet-dependent)
  • Cost: Low (~$0.05/hour + data transfer)
  • Setup: Quick (no contracts)
Direct Connect / ExpressRoute / Cloud Interconnect

Use When: Production workloads, large data transfers, real-time applications

Characteristics:

  • Dedicated network connection (bypasses public internet)
  • Throughput: Up to 100 Gbps
  • Latency: Low and consistent
  • Cost: Higher (port fees + data transfer)
  • Setup: Slower (contracts, coordination)
Transit Gateway + Direct Connect

Use When: Multiple VPCs need on-premises connectivity

Benefits:

  • Single Direct Connect connection → Transit Gateway → Multiple VPCs
  • Cost efficient and scalable
  • Centralized hybrid connectivity

For hybrid connectivity patterns and examples, see references/hybrid-connectivity.md

Multi-Cloud Networking

Unified Concepts Across Providers
ConceptAWSGCPAzure
Virtual NetworkVPCVPCVirtual Network (VNet)
SubnetsSubnets (AZ-scoped)Subnets (Regional)Subnets
NATNAT GatewayCloud NATNAT Gateway
PeeringVPC PeeringVPC PeeringVNet Peering
Hub-SpokeTransit GatewayCloud RouterVirtual WAN
Private EndpointsPrivateLinkPrivate Service ConnectPrivate Link
Hybrid VPNVPNCloud VPNVPN Gateway
Hybrid DedicatedDirect ConnectCloud InterconnectExpressRoute
Show full SKILL.md (655 more words)Show less
Provider-Specific Best Practices

AWS:

  • Multi-AZ baseline for production
  • Prefer Transit Gateway for 5+ VPCs
  • Use VPC Endpoints to avoid NAT charges

GCP:

  • Custom mode VPC (not auto-mode)
  • Start with single VPC, use Shared VPC for multi-project
  • Grant network user role at subnet level

Azure:

  • Hub-and-spoke network topology as standard
  • Few large VNets vs many small VNets
  • Private endpoints for Azure services

For multi-cloud implementations, see references/multi-cloud-networking.md

Network Observability

VPC Flow Logs

Enable Flow Logs for:

  • Traffic analysis and troubleshooting
  • Security monitoring (detect unauthorized access)
  • Cost attribution by network path
  • Compliance requirements

Configuration:

  • Traffic type: ALL (capture accepted and rejected)
  • Aggregation interval: 1-10 minutes
  • Destination: CloudWatch Logs or S3
Monitoring Patterns

Monitor:

  • Rejected connections (security anomalies)
  • Traffic volume spikes
  • Cross-VPC communication patterns
  • NAT Gateway utilization

Alert On:

  • Spike in rejected connections
  • Unusual traffic patterns
  • High data transfer costs
  • Network errors

For observability patterns and flow log analysis, see references/network-observability.md

Cost Optimization

Common Cost Drivers
  1. NAT Gateway: $0.045/hour + $0.045/GB data processed
  2. Transit Gateway: $0.05/hour/attachment + $0.02/GB
  3. Data Transfer: Egress charges vary by destination
  4. VPN/Direct Connect: Port fees + data transfer
Optimization Strategies

Reduce NAT Gateway Costs:

  • Use VPC Endpoints for AWS services (S3, DynamoDB)
  • Centralized egress VPC pattern
  • Single NAT Gateway for dev/test (accept availability risk)

Reduce Data Transfer Costs:

  • Keep traffic within same region
  • Use VPC Endpoints instead of public internet
  • Private connectivity for high-volume transfers

Avoid Transit Gateway Costs:

  • Use VPC Peering for small number of VPCs (< 5)
  • Direct peering for latency-sensitive pairs

For detailed cost optimization strategies, see references/cost-optimization.md

Implementation Workflow

Step 1: Analyze Requirements
  • How many VPCs/environments needed?
  • Hybrid connectivity required?
  • Latency requirements?
  • Security/compliance requirements?
  • Budget constraints?
Step 2: Select Pattern

Use pattern selection framework above to choose:

  • Flat, Multi-VPC, Hub-Spoke, Mesh, or Hybrid
Step 3: Design Subnets
  • Calculate CIDR blocks (non-overlapping)
  • Plan multi-AZ distribution
  • Determine public/private/database tiers
Step 4: Configure Security
  • Design security group architecture
  • Plan microsegmentation
  • Configure Network ACLs if needed
Step 5: Implement with IaC

Use infrastructure-as-code skill to implement with Terraform/Pulumi

Step 6: Enable Observability
  • Configure VPC Flow Logs
  • Set up monitoring and alerting
  • Cost tracking

Quick Reference

VPC Pattern Selection
RequirementRecommended Pattern
Single environmentFlat (Single VPC)
Multiple isolated environmentsMulti-VPC (Isolated)
2-5 VPCs, low latencyFull Mesh (Peering)
5+ VPCs, centralized securityHub-and-Spoke (TGW)
Hybrid connectivityHub-and-Spoke (TGW)
Cost optimizationFlat or Multi-VPC
NAT Gateway Configuration
ScenarioConfigurationMonthly Cost (3 AZs)
Dev/TestSingle NAT~$32
ProductionNAT per AZ~$96
Centralized EgressHub VPC NAT~$32-96
Hybrid Connectivity
RequirementSolutionThroughputLatency
Dev/TestVPN~1.25 GbpsVariable
ProductionDirect ConnectUp to 100 GbpsLow, consistent
BackupVPN (backup to DX)~1.25 GbpsVariable

Reference Documentation

Detailed Guides:

  • references/vpc-design-patterns.md - Comprehensive pattern descriptions with diagrams
  • references/subnet-strategy.md - CIDR planning, IPAM, multi-AZ best practices
  • references/zero-trust-networking.md - Microsegmentation, IAM integration, continuous verification
  • references/hybrid-connectivity.md - VPN, Direct Connect, Transit Gateway patterns
  • references/multi-cloud-networking.md - AWS, GCP, Azure implementations
  • references/security-controls.md - Security groups, NACLs, firewall patterns
  • references/private-networking.md - VPC Endpoints, PrivateLink, Private Service Connect
  • references/multi-region-networking.md - Cross-region peering, global load balancing
  • references/network-observability.md - Flow logs, monitoring, troubleshooting
  • references/cost-optimization.md - Egress reduction, NAT strategies

Code Examples:

  • examples/aws/ - AWS VPC patterns (flat, hub-spoke, peering, VPN, Direct Connect)
  • examples/gcp/ - GCP VPC patterns (custom VPC, Shared VPC, Cloud Interconnect)
  • examples/azure/ - Azure VNet patterns (hub-spoke, peering, ExpressRoute)
  • examples/multi-cloud/ - Cross-cloud connectivity examples

Utility Scripts:

  • scripts/cidr-calculator.py - Calculate CIDR blocks and plan IP addressing
  • scripts/cost-estimator.sh - Estimate network infrastructure costs
  • scripts/validate-sg-rules.py - Validate security group rule configurations
  • scripts/flow-log-analyzer.py - Analyze VPC flow logs for security and cost

Integration with Other Skills

Use infrastructure-as-code skill to:

  • Implement network architectures with Terraform/Pulumi
  • Version control network configurations
  • Automate network provisioning

Use kubernetes-operations skill to:

  • Configure Kubernetes networking (CNI) on top of VPC design
  • Implement pod networking and service meshes

Use security-hardening skill to:

  • Implement firewall rules and WAF configurations
  • Configure network-level DDoS protection
  • Set up intrusion detection systems

Use observability skill to:

  • Implement comprehensive network monitoring
  • Set up distributed tracing across network boundaries
  • Configure performance dashboards

Use disaster-recovery skill to:

  • Design multi-region failover networking
  • Implement cross-region backup connectivity
  • Plan network recovery procedures

© ancoleman, 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 14 other files (scripts, references) in skills/architecting-networks of ancoleman/ai-design-components.

  • SKILL.md
  • examples/aws/flat-vpc-example.tf
  • examples/aws/hub-spoke-tgw-example.tf
  • outputs.yaml
  • references/cost-optimization.md
  • references/hybrid-connectivity.md
  • references/multi-cloud-networking.md
  • references/multi-region-networking.md
  • references/network-observability.md
  • references/private-networking.md
  • references/security-controls.md
  • references/subnet-strategy.md
  • references/vpc-design-patterns.md
  • references/zero-trust-networking.md
  • scripts/cidr-calculator.py

Open the folder on GitHubat commit 76551b7

Compare with similar skills

Architecting Networks 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.

Architecting Networks compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Architecting Networks this skillancoleman/ai-design-components526—~3.9kAutomated safety check: PassMIT
Architecture Designthomast1906/github-copilot-agent-skills202—~2.7kAutomated safety check: PassNone
Azure Diagramscmb211087/azure-diagrams-skill150—~4kAutomated safety check: NotesMIT
Well Architectedavelikiy/great_cto103—~1.6kAutomated safety check: PassMIT
Google Cloud Solution Architecturegoogle/skills21k—~3.5kAutomated safety check: PassApache-2.0
AWS Architecture Diagramvidanov/aws-architecture-diagram-skill160—~4.9kAutomated safety check: PassMIT

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Questions about Architecting Networks

What does Architecting Networks do?

Design cloud network architectures with VPC patterns, subnet strategies, zero trust principles, and hybrid connectivity. Architecting Networks is an agent skill from ancoleman/ai-design-components. Design cloud network architectures with VPC patterns, subnet strategies, zero trust principles, and hybrid connectivity.

When should I use Architecting Networks?

Architecting Networks fits situations like: planning VPC topology; implementing multi-cloud networking; establishing secure network segmentation for cloud workloads.

How do I install Architecting Networks in Claude Code?

Run `npx skills add ancoleman/ai-design-components --skill architecting-networks -a claude-code`. Or copy the skill folder (skills/architecting-networks in ancoleman/ai-design-components) into .claude/skills/architecting-networks in your project. Claude Code loads it when a task matches its description.

How do I install Architecting Networks in Codex?

Run `npx skills add ancoleman/ai-design-components --skill architecting-networks -a codex`. Or copy the skill folder (skills/architecting-networks in ancoleman/ai-design-components) into .agents/skills/architecting-networks in your project. Codex loads it when a task matches its description.

Can I use Architecting Networks 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 ancoleman/ai-design-components --skill architecting-networks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/architecting-networks, .gemini/skills/architecting-networks, .github/skills/architecting-networks and .opencode/skills/architecting-networks in your project.

What does Architecting Networks need to run?

Going by SKILL.md and its folder, Architecting Networks needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Architecting Networks 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 Architecting Networks safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Architecting Networks use?

Architecting Networks 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 Architecting Networks use?

About 3.9k tokens (SKILL.md is roughly 16k 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 18k tokens, read only when the agent opens those files.

What are the alternatives to Architecting Networks?

Skills that share tags, products or a category with Architecting Networks: Architecture Design (thomast1906/github-copilot-agent-skills, 202 stars), Azure Diagrams (cmb211087/azure-diagrams-skill, 150 stars), Well Architected (avelikiy/great_cto, 103 stars) and Google Cloud Solution Architecture (google/skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Architecting Networks?

ancoleman (a GitHub user) maintains it in ancoleman/ai-design-components, which has 526 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on December 11, 2025.

Source: ancoleman/ai-design-components on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.