# agent-fde

> agent-fde — chenshuai9101-agent-fde. Use this tool when you need to streamline enterprise AI rollouts and manage agent engagements. The agent-fde tool guides AI deployments through a 5-phase pipeline, reusing experience and crystallizing skills to improve efficiency. It takes in methodology inputs and outputs optimized agent performance, making it ideal for large-scale AI implementations.

Canonical page: https://skillsregistry.net/skills/chenshuai9101-agent-fde  
JSON: https://api.skillsregistry.net/v1/skills/chenshuai9101-agent-fde

## Description

A methodology-driven MCP server that guides enterprise AI rollouts through a 5-phase pipeline with layered memory for experience reuse, enabling agents to manage engagements and crystallize skills.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hkxvksfui2)
- **Repository:** <https://github.com/chenshuai9101/agent-fde>

## 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": "chenshuai9101-agent-fde"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chenshuai9101-agent-fde` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chenshuai9101-agent-fde/pull`

---
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