# LLV Helix Framework

> Use this tool when you need to streamline creative workflows and strategic planning, as it solves problems related to innovation, design, and narrative development by providing pre-built templates and a structured approach to managing energy states and iterative loops. The LLV Helix Framework takes in user inputs such as project goals and objectives, and outputs customized strategic flows and creative intelligence workflows. It is ideal for use in contexts where structured creativity and strategic design are required, such as innovation projects and narrative strategy development.

Canonical page: https://skillsregistry.net/skills/suhitanantula-llv-helix  
JSON: https://api.skillsregistry.net/v1/skills/suhitanantula-llv-helix

## Description

Implements the Lines-Loops-Vibes creativity operating system with tools for building strategic flows, creating iterative loops, and managing energy states. Provides pre-built templates for innovation, strategic design, narrative strategy, and creative intelligence workflows.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kbwzujfclh)
- **Repository:** <https://github.com/suhitanantula/llv-helix>

## 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": "suhitanantula-llv-helix"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/suhitanantula-llv-helix` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/suhitanantula-llv-helix/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