# agent-flow

> Use this tool when you need to streamline complex AI development tasks and bridge the gap between raw Large Language Model (LLM) reasoning and structured execution. AgentFlow solves problems related to workflow management, providing a premium agentic workflow system that integrates with git for seamless version control. It takes in LLM outputs and transforms them into structured executions, making it ideal for use cases that require efficient and organized AI agent workflows.

Canonical page: https://skillsregistry.net/skills/farazpawle-agent-flow  
JSON: https://api.skillsregistry.net/v1/skills/farazpawle-agent-flow

## Description

AgentFlow is a next-generation, premium agentic workflow system built on the Model Context Protocol (MCP). It transforms the way AI agents handle complex development tasks by bridging the gap between raw LLM reasoning and structured execution.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/farazpawle/agent-flow)
- **Repository:** <https://github.com/farazpawle/agent-flow>

## 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": "farazpawle-agent-flow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/farazpawle-agent-flow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/farazpawle-agent-flow/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