Create Settings Model Skill

Creates a complete settings model package with proper directory structure, dependencies, and SettingsModel trait implementation.

Roles

You (reading this file) are the orchestrator.

| Role | Reads | Does | |------|-------|------| | Orchestrator (you) | SKILL.md, next-step.py output | Runs state machine, spawns subagents, writes outputs | | State machine | progress.json, workspace files | Decides next action, validates gates | | Subagent | Phase file (e.g., SCAFFOLD.md) | Executes phase instructions |

⚠️ You do NOT read files in phases/ — pass them to subagents via context_files. Subagents read their phase file and execute it.

Orchestrator Loop

workspace = f"planning/{model_name}-settings"
bash(f"mkdir -p {workspace}", on_error="raise")
write("create", f"{workspace}/input.txt", file_text=f"Model name: {model_name}
Description: {description}")

while True:
  action = bash(f"python3 skills/create-settings-model/next-step.py {workspace}", on_error="raise")
  a = json.loads(action)
  
  if a["type"] == "done":
    final = fs_read("Line", f"{workspace}/FINAL.md", 1, 1000)
    break
  
  if a["type"] == "gate_failed":
    log(f"Gate failed: {a['reason']}")
    break
  
  if a["type"] == "spawn":
    r = spawn(
      a["prompt"],
      context_files=a["context_files"],
      context_data=a.get("context_data"),
      allow_tools=True
    )
    write("create", f"{workspace}/{a['output_file']}", file_text=r.response)

Handling Exceptions

The state machine handles the happy path. When things go wrong, exercise judgment:

| Exception | Response | |-----------|----------| | Spawn times out | Assess: retry with longer timeout? Report partial progress? | | Spawn returns error | Report failure to state machine, let it track retries | | Empty/invalid response | Treat as failure, report to state machine |

Don't silently advance past failures. Either retry, fail explicitly, or document gaps.

Anti-Patterns

| ❌ Don't | ✅ Do | |----------|-------| | Read phase files yourself | Pass phase files via context_files to subagents | | Decide what phase is next | State machine decides via next-step.py | | Skip gates "because it looks done" | Always validate gates | | Store state in your memory | State lives in progress.json | | Silently advance past failures | Retry, fail, or document gaps |

Phases

1. SCAFFOLD: Create directory structure and basic files (Cargo.toml, lib.rs, main.rs)
2. IMPLEMENT: Implement SettingsModel trait methods (get_version, set, generate, validate)
3. VALIDATE: Verify with cargo check

Inputs

Gather before starting:

• Model name (e.g., "myapp")
• Description of what settings this model manages
• Settings fields and their types

Outputs

Complete settings model package at:

kits/bottlerocket-core-kit/packages/<name>-settings/
├── Cargo.toml
├── lib.rs
└── main.rs