plugin-dependency-resolver
Generate plugin dependency resolution logic with topological sorting.
Best use case
plugin-dependency-resolver is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generate plugin dependency resolution logic with topological sorting.
Teams using plugin-dependency-resolver 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/plugin-dependency-resolver/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How plugin-dependency-resolver Compares
| Feature / Agent | plugin-dependency-resolver | 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 plugin dependency resolution logic with topological sorting.
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
# Plugin Dependency Resolver
Generate plugin dependency resolution logic.
## Generated Patterns
```typescript
interface PluginNode {
name: string;
dependencies: string[];
}
export function resolveDependencies(plugins: PluginNode[]): string[] {
const graph = new Map<string, string[]>();
const inDegree = new Map<string, number>();
for (const plugin of plugins) {
graph.set(plugin.name, plugin.dependencies);
inDegree.set(plugin.name, 0);
}
for (const [, deps] of graph) {
for (const dep of deps) {
inDegree.set(dep, (inDegree.get(dep) || 0) + 1);
}
}
const queue = [...inDegree.entries()].filter(([, d]) => d === 0).map(([n]) => n);
const result: string[] = [];
while (queue.length > 0) {
const node = queue.shift()!;
result.push(node);
for (const dep of graph.get(node) || []) {
inDegree.set(dep, inDegree.get(dep)! - 1);
if (inDegree.get(dep) === 0) queue.push(dep);
}
}
if (result.length !== plugins.length) {
throw new Error('Circular dependency detected');
}
return result.reverse();
}
```
## Target Processes
- plugin-architecture-implementationRelated Skills
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