axom-transform

Axom Transform Skill

Format mastery. Pipeline glue. Data flow. Connective tissue of chains. Read → Transform → Write.

⚠️ Core Mandate

Transformation is the connective tissue of chains. Read → Transform → Write. Analyze → Transform → Store. Transform turns raw data into the shape the next step expects. Use it aggressively in pipelines.

Core Capabilities

1. Format Conversion

From	To	Parameters
JSON	YAML	input: {...}, output_format: "yaml"
YAML	JSON	input: "key: value", output_format: "json"
CSV	JSON	input: "a,b\n1,2", output_format: "json"
Any	Markdown	output_format: "markdown", optional template
Any	Code	output_format: "code", template: "data = ${data}"

2. Templating (Jinja2)

{
  "input": { "name": "World", "items": [1, 2, 3] },
  "output_format": "markdown",
  "template": "# Hello {{ name }}\n\nItems:\n{% for i in items %}- {{ i }}\n{% endfor %}"
}

3. Rule-Based Transformation

{
  "input": { "old_name": "value" },
  "output_format": "json",
  "rules": [{ "action": "rename", "field": "old_name", "new": "new_name" }]
}

Pipeline Patterns

Config Conversion (Exec → Transform → Exec)

{
  "operation": "read",
  "target": "config.json",
  "chain": [
    {
      "tool": "axom_mcp_transform",
      "args": { "input": "${_result}", "output_format": "yaml" }
    },
    {
      "tool": "axom_mcp_exec",
      "args": {
        "operation": "write",
        "target": "config.yaml",
        "data": "${_result}"
      }
    }
  ]
}

Analysis Report → Memory (Analyze → Transform → Memory)

{
  "type": "review",
  "target": "src/",
  "chain": [
    {
      "tool": "axom_mcp_transform",
      "args": {
        "input": "${_result}",
        "output_format": "markdown",
        "template": "# Review Summary\n\n{{ content }}"
      }
    },
    {
      "tool": "axom_mcp_memory",
      "args": {
        "action": "write",
        "name": "review_report_20260222",
        "content": "${_result}",
        "importance": "low"
      }
    }
  ]
}