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site: getting-started scaffolds SIX meta init skills, not five (add metaobjects-audit)
meta init's SKILL_NAMES scaffolds 6 skills (authoring/codegen/runtime-ui/prompts/verify/audit); getting-started.html + llms-full.txt said five. Fixes the onboarding-page skill count.
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www/getting-started.html

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@@ -84,12 +84,13 @@ <h3>Set up the project and the agent context</h3>
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├── metaobjects.config.ts <span class="c"># ← targets: dialect + what to generate</span>
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├── CLAUDE.md <span class="c"># wired to auto-load the context below</span>
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├── .metaobjects/ <span class="c"># tool state + agent docs (AGENTS.md, CLAUDE.md)</span>
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└── .claude/skills/ <span class="c"># five skills your agent now has:</span>
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└── .claude/skills/ <span class="c"># six skills your agent now has:</span>
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├── metaobjects-authoring/ <span class="c"># write &amp; edit models</span>
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├── metaobjects-codegen/ <span class="c"># run codegen</span>
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├── metaobjects-runtime-ui/ <span class="c"># wire up runtime + UI</span>
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├── metaobjects-prompts/ <span class="c"># typed LLM prompts</span>
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└── metaobjects-verify/ <span class="c"># drift checks</span></pre>
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├── metaobjects-verify/ <span class="c"># drift checks</span>
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└── metaobjects-audit/ <span class="c"># check adoption depth</span></pre>
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</div>
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</div>
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</section>

www/llms-full.txt

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@@ -34,7 +34,7 @@ If you are an AI assistant helping someone adopt MetaObjects, do this **first**
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- Java / Kotlin: add `com.metaobjects:metaobjects-metadata`, `com.metaobjects:metaobjects-codegen-spring` (Java) or `com.metaobjects:metaobjects-codegen-kotlin` (Kotlin), and `com.metaobjects:metaobjects-maven-plugin`, all at `7.11.3`.
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- Python: `pip install metaobjects`
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- C#: install the MetaObjects .NET tool (invoked as `dotnet meta`).
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2. **Run `meta init`** (the Node `meta` CLI). It works in any project that has Node — including a JVM or Python project with a TypeScript frontend. It scaffolds a slim always-on `.metaobjects/AGENTS.md` + `.metaobjects/CLAUDE.md` (auto-wired via an `@.metaobjects/AGENTS.md` import line into the project's root `CLAUDE.md`/`AGENTS.md`, so it loads automatically) plus five `metaobjects-*` Claude Code skills under `.claude/skills/`, carrying only the project's language reference fragments. Re-run `meta init --refresh-docs` to update the agent docs after a CLI upgrade. (The Node `meta` CLI is the single agent-context scaffolder for every backend, by design — ADR-0033; the JVM/Python/C# CLIs deliberately redirect to it. For a non-Node project, scaffold just the agent context with `npx meta agent-docs --server <lang>`.)
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2. **Run `meta init`** (the Node `meta` CLI). It works in any project that has Node — including a JVM or Python project with a TypeScript frontend. It scaffolds a slim always-on `.metaobjects/AGENTS.md` + `.metaobjects/CLAUDE.md` (auto-wired via an `@.metaobjects/AGENTS.md` import line into the project's root `CLAUDE.md`/`AGENTS.md`, so it loads automatically) plus six `metaobjects-*` Claude Code skills under `.claude/skills/`, carrying only the project's language reference fragments. Re-run `meta init --refresh-docs` to update the agent docs after a CLI upgrade. (The Node `meta` CLI is the single agent-context scaffolder for every backend, by design — ADR-0033; the JVM/Python/C# CLIs deliberately redirect to it. For a non-Node project, scaffold just the agent context with `npx meta agent-docs --server <lang>`.)
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3. **Load `.metaobjects/AGENTS.md` and the `.claude/skills/metaobjects-*` skills.** They teach metadata authoring, codegen, runtime/UI, prompt construction, and `verify` — for this project's exact stack and version.
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This file is the short corpus; the deep, version-matched how-to is the scaffolded local context.

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