# Haxaml

> Use this tool when you need to enforce structured planning and context understanding for AI coding agents, solving problems of disorganized workflows and unclear success criteria. Haxaml takes in project plans and outputs a standardized protocol, ensuring agents are aligned with project goals. It is ideal for use in complex AI development projects that require meticulous planning and documentation.

Canonical page: https://skillsregistry.net/skills/haxsysgit-haxaml  
JSON: https://api.skillsregistry.net/v1/skills/haxsysgit-haxaml

## Description

Enforces a structured planning-before-building workflow for AI coding agents via an MCP server, maintaining a project diary and protocol to ensure agents understand context and success criteria.

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **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/becdtys0x5)
- **Repository:** <https://github.com/haxsysgit/haxaml>

## 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": "haxsysgit-haxaml"
    }
  }
}
```

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