Claude-skill-registry create-settings-model
Create a new Bottlerocket settings model with SettingsModel trait implementation
install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/create-settings-model" ~/.claude/skills/majiayu000-claude-skill-registry-create-settings-model && rm -rf "$T"
manifest:
skills/data/create-settings-model/SKILL.mdsource content
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
— pass them to subagents via context_files. Subagents read their phase file and execute it.phases/
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
- SCAFFOLD: Create directory structure and basic files (Cargo.toml, lib.rs, main.rs)
- IMPLEMENT: Implement SettingsModel trait methods (get_version, set, generate, validate)
- 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