# ProDisco

> Use this tool when you need to manage Kubernetes clusters programmatically, and want to enable AI agents to interact with them through automated code execution and output summarization. ProDisco solves cluster management problems by allowing agents to discover and execute TypeScript modules, receiving concise console output for informed decision-making. It takes filesystem inputs and produces summarized output, making it ideal for automating cluster tasks in dynamic environments.

Canonical page: https://skillsregistry.net/skills/harche-prodisco  
JSON: https://api.skillsregistry.net/v1/skills/harche-prodisco

## Description

Enables AI agents to interact with Kubernetes clusters through progressive disclosure, where agents discover TypeScript modules via filesystem, write and execute code, and receive summarized console output for cluster management tasks.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c463kv5p6z)
- **Repository:** <https://github.com/harche/ProDisco>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "harche-prodisco"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/harche-prodisco` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/harche-prodisco/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt