Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsBlogPro
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges
  • Chrome Extension
  • Skill Manager

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Architecture Diagram

ASecurity

Produce a security architecture, network, or trust-boundary diagram of a system, highlighting components, zones, controls, and exposure. Use when documenting a design review, network segmentation, or cloud architecture from a security perspective.

8 stars
0 votes
0 copies
1 views
Added 9/19/2026
ai-agentsrustgonodesecurity

Works with

mcp

Security Analysis

A100/100

Scanned 9/19/2026

$npx -y skills add jassics/awesome-claude-security --skill architecture-diagram --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Architecture Diagram?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Architecture Diagram
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/jassics-architecture-diagram/badge)](https://www.skillsdirectory.com/skills/jassics-architecture-diagram)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
Files
SKILL.md
---
name: architecture-diagram
description: >-
  Produce a security architecture, network, or trust-boundary diagram of a
  system, highlighting components, zones, controls, and exposure. Use when
  documenting a design review, network segmentation, or cloud architecture from
  a security perspective.
---

# Goal

A diagram that makes the security-relevant structure legible: components, the
zones/segments they sit in, the controls between them, and where the system is
exposed.

# Steps

1. Gather the components (services, gateways, data stores, identities) and how
   they connect. Ask for the design if not provided.
2. Group into **zones** (internet, edge/DMZ, app tier, data tier, management,
   each cloud account/VPC/namespace). Draw zone boundaries explicitly.
3. Annotate **controls** on the links: TLS, authn/authz, WAF, firewall rules,
   network policy, encryption-at-rest on stores.
4. Mark **exposure**: anything internet-reachable, public buckets, admin planes.
5. Render: prefer the Excalidraw MCP; otherwise emit Mermaid `flowchart` with
   `subgraph` per zone, plus DOT for tooling that prefers Graphviz.

# Rendering contract (shared by all diagram skills)

- If an Excalidraw MCP server/tool is available, create the diagram there and
  save/export it; tell the user the file location.
- Otherwise output, in this order: (a) a fenced ```mermaid block, (b) a fenced
  `.excalidraw` JSON block the user can import at excalidraw.com, (c) for graphs,
  a ```dot block. Keep node labels short.

# Output

- The diagram (rendered or importable).
- A legend mapping shapes/colors to zones and control types.
- A short "exposure & controls gaps" note for follow-up.

Attribution

jassicsjassics
View sourceSee grades on GitHubMore from jassics →
SSkills Directory ProSkills Directory

Get any skill into Claude in one click.

Download any skill as a ZIP for Claude.ai, Claude Desktop, or .claude/skills. $9/mo.

See Pro

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills Directory ProSkills Directory

Get any skill into Claude in one click.

Download any skill as a ZIP for Claude.ai, Claude Desktop, or .claude/skills. $9/mo.

See Pro

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1074701 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

696561 votes

Writing Skills

Create and manage Claude Code skills in HASH repository following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns), UserPromptSubmit hook, and the 500-line rule. Includes validation and debugging with SKILL_DEBUG. Examples include rust-error-stack, cargo-dep...

3931 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

691 votes
View all in ai-agents →