# flowllm

> flowllm — flowllm-ai-flowllm. Use this tool when you need to build and deploy Large Language Model (LLM) applications efficiently, solving problems such as streamlining development workflows and integrating version control through git. It provides an interface for inputs like model specifications and outputs like functional applications. Use FlowLLM in contexts where rapid LLM application development and collaboration are crucial.

Canonical page: https://skillsregistry.net/skills/flowllm-ai-flowllm  
JSON: https://api.skillsregistry.net/v1/skills/flowllm-ai-flowllm

## Description

FlowLLM: Build LLM applications with ease.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/FlowLLM-AI/flowllm)

## 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": "flowllm-ai-flowllm"
    }
  }
}
```

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