Install
$ agentstack add skill-trecek-useful-claude-skills-arch-lens-deployment ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ● Shell / process execution Used
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Deployment/Physical Architecture Lens
Cognitive Mode: Physical Primary Question: "Where does it run?" Focus: Infrastructure Topology, Process Boundaries, Data Storage Locations, Network Communication
When to Use
- Need to understand physical deployment
- Documenting infrastructure and processes
- Analyzing where components execute
- User invokes
/arch-lens-deploymentor/make-arch-diag deployment
Critical Constraints
NEVER:
- Modify any source code files
- Include code-level details
- Show internal logic
ALWAYS:
- Focus on PHYSICAL deployment
- Show process boundaries
- Include network/communication protocols
- Document storage locations
- BEFORE creating any diagram, LOAD the
/mermaidskill using the Skill tool - this is MANDATORY
Analysis Workflow
Step 1: Launch Parallel Exploration Subagents
Spawn Explore subagents to investigate:
Process Boundaries
- Find main process entry points
- Identify subprocess spawning
- Look for: main, entry_points, subprocess, process spawning, daemon processes
Container/Docker
- Find containerization config
- Identify services
- Look for: Dockerfile, docker-compose.yml, container definitions, Kubernetes configs
Local Storage
- Find file storage locations
- Identify database paths
- Look for: data directories, database files, storage volumes, persistent storage
Network Services
- Find service definitions
- Identify ports and protocols
- Look for: port, bind, listen, server, API, endpoint, network services
External Services
- Find external API calls
- Identify cloud services
- Look for: external APIs, cloud services, third-party integrations
Web/Frontend
- Find frontend deployment
- Identify static file serving
- Look for: web servers, frontend builds, static assets, CDN
Step 2: Map Physical Topology
| Component | Location | Technology | Port/Protocol | |-----------|----------|------------|---------------| | {name} | {where} | {tech} | {port/protocol} |
CRITICAL - Analyze Read/Write Direction: For EVERY process and storage location:
- Reads from: What does this process READ? (files, databases, APIs)
- Writes to: What does this process WRITE? (files, databases, APIs)
- Network direction: Client->Server or bidirectional?
For storage locations:
- Read/write storage: Process both reads and writes (databases, state files)
- Write-only storage: Process writes, humans or other systems read (logs, artifacts)
- Read-only sources: Process reads, doesn't modify (config, external APIs)
Label all connections with direction (reads, writes, or both)
Step 3: Identify Communication Paths
- Process-to-process (IPC, subprocess)
- Network (HTTP, WebSocket, gRPC)
- File system (shared files)
- Database (connections)
Step 4: Create the Diagram
Use flowchart with:
Direction: TB for infrastructure layers
Subgraphs by Physical Location:
- Developer Machine (local processes)
- Local Storage (files, DBs)
- Docker Stack (if containerized)
- Web Stack (if applicable)
- External Services (cloud, APIs)
Node Styling:
cliclass: Main processesstateNodeclass: Local storage, databasesoutputclass: File artifactshandlerclass: Services, APIsphaseclass: Frontend, web UIintegrationclass: External services
Connection Labels:
- Show protocols (HTTP, subprocess, file)
- Show ports where relevant
Step 5: Write Output
Write the diagram to: temp/arch-lens-deployment/arch_diag_deployment_{YYYY-MM-DD_HHMMSS}.md
Output Template
# Deployment Diagram: {System Name}
**Lens:** Deployment/Physical
**Question:** Where does it run?
**Date:** {YYYY-MM-DD}
**Scope:** {What was analyzed}
## Deployment Topology
| Component | Port | Technology | Purpose |
|-----------|------|------------|---------|
| {name} | {port} | {tech} | {purpose} |
## Deployment Diagram
```mermaid
%%{init: {'flowchart': {'nodeSpacing': 50, 'rankSpacing': 60, 'curve': 'basis'}}}%%
flowchart TB
%% CLASS DEFINITIONS %%
classDef cli fill:#1a237e,stroke:#7986cb,stroke-width:2px,color:#fff;
classDef stateNode fill:#004d40,stroke:#4db6ac,stroke-width:2px,color:#fff;
classDef handler fill:#e65100,stroke:#ffb74d,stroke-width:2px,color:#fff;
classDef phase fill:#6a1b9a,stroke:#ba68c8,stroke-width:2px,color:#fff;
classDef output fill:#00695c,stroke:#4db6ac,stroke-width:2px,color:#fff;
classDef integration fill:#c62828,stroke:#ef9a9a,stroke-width:2px,color:#fff;
subgraph LocalMachine ["LOCAL MACHINE"]
direction TB
MAIN["Main Process━━━━━━━━━━RuntimeOrchestration"]
SUB["Subprocess━━━━━━━━━━Isolated execution"]
end
subgraph LocalStorage ["LOCAL STORAGE"]
direction TB
DB[("Database━━━━━━━━━━TechnologyLocation")]
FILES["Files━━━━━━━━━━ArtifactsPath"]
end
subgraph Docker ["DOCKER STACK"]
direction TB
SERVICE1["Service━━━━━━━━━━:portPurpose"]
end
subgraph Web ["WEB STACK"]
direction TB
API["API Server━━━━━━━━━━:portProtocol"]
FRONTEND["Frontend━━━━━━━━━━:portTechnology"]
end
subgraph External ["EXTERNAL"]
direction TB
CLOUD["Cloud API━━━━━━━━━━ProtocolThird-party"]
end
%% CONNECTIONS %%
MAIN -->|"spawns"| SUB
MAIN -->|"reads/writes"| DB
MAIN -->|"writes"| FILES
MAIN -->|"HTTPS"| CLOUD
SERVICE1 -->|"connects"| DB
API -->|"REST"| FRONTEND
%% CLASS ASSIGNMENTS %%
class MAIN,SUB cli;
class DB,FILES stateNode;
class SERVICE1,API handler;
class FRONTEND phase;
class CLOUD integration;
Color Legend: | Color | Category | Description | |-------|----------|-------------| | Dark Blue | Processes | Local CLI and subprocess | | Teal | Storage | Databases and file storage | | Orange | Services | Backend services and APIs | | Purple | Frontend | Web UI | | Red | External | External/cloud services |
Communication Protocols
| From | To | Protocol | Purpose | |------|-----|----------|---------| | {source} | {target} | {protocol} | {purpose} |
Storage Locations
| Data | Location | Technology | |------|----------|------------| | {data} | {path} | {tech} |
---
## Pre-Diagram Checklist
Before creating the diagram, verify:
- [ ] LOADED `/mermaid` skill using the Skill tool
- [ ] Using ONLY classDef styles from the mermaid skill (no invented colors)
- [ ] Diagram will include a color legend table
---
## Related Skills
- `/make-arch-diag` - Parent skill for lens selection
- `/mermaid` - MUST BE LOADED before creating diagram
- `/arch-lens-c4-container` - For container-level view
## Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- **Author:** [Trecek](https://github.com/Trecek)
- **Source:** [Trecek/useful-claude-skills](https://github.com/Trecek/useful-claude-skills)
- **License:** MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.