Best use case
algorithm-visualizer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generate visual representations of algorithm execution
Teams using algorithm-visualizer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/algorithm-visualizer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How algorithm-visualizer Compares
| Feature / Agent | algorithm-visualizer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate visual representations of algorithm execution
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Algorithm Visualizer Skill
## Purpose
Generate visual representations of algorithm execution to aid understanding, debugging, and explanation of algorithmic concepts.
## Capabilities
- Step-by-step execution visualization
- Data structure state visualization
- Graph algorithm animation
- DP table visualization
- Generate animated GIFs/videos
- Interactive visualization generation
- Tree and array state rendering
## Target Processes
- algorithm-implementation
- dp-pattern-matching
- graph-traversal
- interview-problem-explanation
## Visualization Types
1. **Array Operations**: Sorting, searching, two-pointer techniques
2. **Tree Structures**: Binary trees, BST operations, tree traversals
3. **Graph Algorithms**: BFS, DFS, shortest paths, MST
4. **DP Tables**: State transitions, optimal substructure
5. **Data Structures**: Stack, queue, heap operations
## Input Schema
```json
{
"type": "object",
"properties": {
"algorithm": { "type": "string" },
"input": { "type": "object" },
"format": {
"type": "string",
"enum": ["ascii", "svg", "gif", "html"]
},
"steps": { "type": "boolean", "default": true }
},
"required": ["algorithm", "input"]
}
```
## Output Schema
```json
{
"type": "object",
"properties": {
"success": { "type": "boolean" },
"visualization": { "type": "string" },
"steps": { "type": "array" },
"format": { "type": "string" }
},
"required": ["success"]
}
```
## Integration
Can integrate with visualization libraries like Manim, D3.js, or generate ASCII art for terminal-based visualization.Related Skills
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