Agent skill
ascii-visualizer
ASCII diagram patterns for architecture, workflows, file trees, and data visualizations. Use when creating terminal-rendered diagrams, box-drawing layouts, progress bars, swimlanes, or blast radius visualizations.
Install this agent skill to your Project
npx add-skill https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/ascii-visualizer
Metadata
Additional technical details for this skill
- category
- document-asset-creation
SKILL.md
ASCII Visualizer
Consistent, readable ASCII diagrams for architecture, workflows, file trees, and data visualizations. All output renders correctly in monospace terminals without external tools.
Core principle: Encode information into structure, not decoration. Every diagram element should communicate something meaningful.
Box-Drawing Character Reference
Standard: ┌─┐ │ └─┘ ├─┤ ┬ ┴ ┼
Heavy: ┏━┓ ┃ ┗━┛ ┣━┫ ┳ ┻ ╋
Double: ╔═╗ ║ ╚═╝ ╠═╣ ╦ ╩ ╬
Rounded: ╭─╮ │ ╰─╯
Arrows: → ← ↑ ↓ ─> <─ ──> <──
Blocks: █ ▓ ░ ▏▎▍▌▋▊▉
Checks: ✓ ✗ ● ○ ◆ ◇ ★ ☆
Weight Conventions
| Weight | Characters | Use For |
|---|---|---|
Standard ─│ |
Normal boxes and connectors | Most diagrams |
Heavy ━┃ |
Emphasis, borders, headers | Key components, outer frames |
Double ═║ |
Separation, titles | Section dividers, title boxes |
Diagram Patterns
Architecture Diagrams
┌──────────────┐ ┌──────────────┐
│ Frontend │─────>│ Backend │
│ React 19 │ │ FastAPI │
└──────────────┘ └───────┬──────┘
│
v
┌──────────────┐
│ PostgreSQL │
└──────────────┘
File Trees with Annotations
src/
├── api/
│ ├── routes.py [M] +45 -12 !! high-traffic path
│ └── schemas.py [M] +20 -5
├── services/
│ └── billing.py [A] +180 ** new file
└── tests/
└── test_billing.py [A] +120 ** new file
Legend: [A]dd [M]odify [D]elete !! Risk ** New
Progress Bars
[████████░░] 80% Complete
+ Design (2 days)
+ Backend (5 days)
~ Frontend (3 days)
- Testing (pending)
Swimlane / Timeline Diagrams
Backend ===[Schema]======[API]===========================[Deploy]====>
| | ^
| +------blocks------+ |
| | |
Frontend ------[Wait]--------[Components]=======[Integration]=+
=== Active work --- Blocked/waiting | Dependency
Blast Radius (Concentric Rings)
Ring 3: Tests (8 files)
+-------------------------------+
| Ring 2: Transitive (5) |
| +------------------------+ |
| | Ring 1: Direct (3) | |
| | +--------------+ | |
| | | CHANGED FILE | | |
| | +--------------+ | |
| +------------------------+ |
+-------------------------------+
Comparison Tables
BEFORE AFTER
┌────────────┐ ┌────────────┐
│ Monolith │ │ Service A │──┐
│ (all-in-1)│ └────────────┘ │ ┌──────────┐
└────────────┘ ┌────────────┐ ├─>│ Shared │
│ Service B │──┘ │ Queue │
└────────────┘ └──────────┘
Reversibility Timeline
Phase 1 [================] FULLY REVERSIBLE (add column)
Phase 2 [================] FULLY REVERSIBLE (new endpoint)
Phase 3 [============....] PARTIALLY (backfill)
--- POINT OF NO RETURN ---
Phase 4 [........????????] IRREVERSIBLE (drop column)
Key Rules
| Rule | Description |
|---|---|
| Font | Always monospace — box-drawing requires fixed-width |
| Weight | Standard for normal, Heavy for emphasis, Double for titles |
| Arrows | ─>, ──>, or │ with v/^ for direction |
| Alignment | Right-pad labels to match column widths |
| Annotations | !! for risk, ** for new, [A/M/D] for change type |
| Width | Keep under 80 chars for terminal compatibility |
| Nesting | Max 3 levels of box nesting before readability degrades |
When to Use Each Pattern
| Pattern | Use Case |
|---|---|
| Layered boxes | System architecture, deployment topology |
| Concentric rings | Blast radius, impact analysis |
| Timeline bars | Reversibility, migration phases |
| Swimlanes | Execution order, parallel work streams |
| Annotated trees | File change manifests, directory structures |
| Comparison tables | Cross-layer consistency, before/after |
| Progress bars | Status tracking, completion metrics |
Related Skills
brainstorm— Design exploration where diagrams communicate ideasarchitecture-patterns— System architecture that benefits from ASCII diagramscode-review-playbook— Review comments with inline diagrams
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
expect
Diff-aware AI browser testing — analyzes git changes, generates targeted test plans, and executes them via agent-browser. Reads git diff to determine what changed, maps changes to affected pages via route map, generates a test plan scoped to the diff, and runs it with pass/fail reporting. Use when testing UI changes, verifying PRs before merge, running regression checks on changed components, or validating that recent code changes don't break the user-facing experience.
github-operations
GitHub CLI operations for issues, PRs, milestones, and Projects v2. Covers gh commands, REST API patterns, and automation scripts. Use when managing GitHub issues, PRs, milestones, or Projects with gh.
chain-patterns
Chain patterns for CC 2.1.71 pipelines — MCP detection, handoff files, checkpoint-resume, worktree agents, CronCreate monitoring. Use when building multi-phase pipeline skills. Loaded via skills: field by pipeline skills (fix-issue, implement, brainstorm, verify). Not user-invocable.
storybook-mcp-integration
Storybook MCP server integration for component-aware AI development. Covers 6 tools across 3 toolsets (dev, docs, testing): component discovery via list-all-documentation/get-documentation, story previews via preview-stories, and automated testing via run-story-tests. Use when generating components that should reuse existing Storybook components, running component tests via MCP, or previewing stories in chat.
component-search
Search 21st.dev component registry for production-ready React components. Finds components by natural language description, filters by framework and style system, returns ranked results with install instructions. Use when looking for UI components, finding alternatives to existing components, or sourcing design system building blocks.
ai-ui-generation
AI-assisted UI generation patterns for json-render, v0, Bolt, and Cursor workflows. Covers prompt engineering for component generation, review checklists for AI-generated code, design token injection, refactoring for design system conformance, and CI gates for quality assurance. Use when generating UI components with AI tools, rendering multi-surface MCP visual output, reviewing AI-generated code, or integrating AI output into design systems.
Didn't find tool you were looking for?