# agentic-planet

> agentic-planet — crosswise-overage824-agentic-planet. Use this tool when you need to build and manage agentic AI workflows, leveraging curated tools and technical recipes to streamline software development. It solves problems related to AI workflow creation, MCP server management, and code integration, accepting inputs like git repositories and outputting customized workflows. Ideal for software developers seeking to optimize their AI development processes.

Canonical page: https://skillsregistry.net/skills/crosswise-overage824-agentic-planet  
JSON: https://api.skillsregistry.net/v1/skills/crosswise-overage824-agentic-planet

## Description

Build agentic AI workflows with curated tools, MCP server reviews, and technical recipes for software developers.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/Crosswise-overage824/agentic-planet)

## 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": "crosswise-overage824-agentic-planet"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/crosswise-overage824-agentic-planet` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/crosswise-overage824-agentic-planet/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