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Maa Project Create

ASecurity

Create, extend, diagnose, and update MaaFramework application projects through the create-maa-project MCP server or CLI. Use when asked to start or scaffold a Maa project, choose Pipeline versus Python Agent templates, add dev tools, GitHub workflows, Agent support, or resource packs, run project doctor, sync metadata, update schema/runtime/OCR/dependencies, inspect or restore backups, or hand a newly created project to other Maa skills.

15 stars
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Added 9/28/2026
ai-agentspythonnodegit

Works with

climcp

Security Analysis

A100/100

Scanned 9/28/2026

Install to Claude Code

$npx -y skills add KhazixW2/Everything-Maa --skill maa-project-create --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
name: maa-project-create
description: Create, extend, diagnose, and update MaaFramework application projects through the create-maa-project MCP server or CLI. Use when asked to start or scaffold a Maa project, choose Pipeline versus Python Agent templates, add dev tools, GitHub workflows, Agent support, or resource packs, run project doctor, sync metadata, update schema/runtime/OCR/dependencies, inspect or restore backups, or hand a newly created project to other Maa skills.
---

# Maa Project Create

## 官方兼容性核对

创建或更新项目涉及 MaaFramework schema、runtime、binding 兼容性或依赖版本时,通过 `$maa-wiki` 定位官方来源后再执行 `update` 或解释报告。`create-maa-project` 的报告是执行结果,不是 MaaFramework 官方契约本身。

Use `create-maa-project` as the project lifecycle engine. Do not reproduce its templates or manually imitate its managed-file behavior.

## Load the bundled upstream Skill

Before composing the first project-changing, doctor, add, sync, update, backup, or cache command, locate and read the authoritative upstream `create-maa-project` Skill. The bundled upstream Skill is the command and report authority; this wrapper supplies routing and safety only.

1. If the user supplies a create-maa-project checkout, npm package root, standalone Skill directory, or `SKILL.md`, pass each candidate to the locator with `--root PATH`.
2. Run `node scripts/find-create-maa-project-skill.mjs`. The read-only locator searches installed standalone Skills, project and user installations, and npm/pnpm packages while excluding this Skill's own root. It never installs, downloads, builds, or updates anything.
3. For every locator result, read the latest formal upstream Release: prefer its integrated `create-maa-project` Skill, and use the README when that Skill route is unavailable. Local skill and package candidates are locator diagnostics; they do not override the latest upstream handoff.
4. If the latest formal release does not expose the integrated Skill or README, use the disclosed default-branch handoff. The Python wheel does not contain the upstream Skill.
5. Resolve the runtime with an unversioned latest package reference.

Preserve the latest upstream Skill or README's non-interactive, JSON-report, version-checking, and backup requirements. Prefer the latest CLI over a checkout's `dist` files. If complete authoritative upstream guidance cannot be read, stop and report the latest Skill and README routes attempted. Do not improvise create-maa-project commands from this Skill alone.

## Route the request

Choose the smallest operation that matches the user's intent:

| Intent | MCP tool | Mutation |
| --- | --- | --- |
| Create a project | `create_project` | Yes |
| Check project health | `doctor` | No |
| Change supported metadata | `sync` | Yes |
| Add Agent, resource pack, CI, or dev tooling | `add` | Yes |
| Update schema, MaaFW, runtime, OCR, or dependencies | `update` | Yes |
| Inspect backups | `list_backups` / `show_backup` | No |
| Restore a backup | `restore` | Yes, potentially destructive |
| Remove local cache | `clean_cache` | Yes |

Prefer MCP when it is configured. Use the latest CLI fallback in [references/cli-and-reports.md](references/cli-and-reports.md) when MCP is unavailable or when a follow-up command must run with a different working directory. See [references/upstream-skill-discovery.md](references/upstream-skill-discovery.md) for the latest-version handoff.

## Create workflow

1. Resolve the target directory and inspect whether it already exists. Do not use force flags or allow a non-Git non-empty directory without explicit user approval.
2. Collect the choices that materially affect the result:
   - project folder/path;
   - `pipeline` or `agent` template;
   - ASCII kebab-case slug and human display name when they differ;
   - controller targets (`Adb`, `Win32`, `MacOS`, `PlayCover`, `Gamepad`, `WlRoots`);
   - license;
   - add-ons and optional resource-pack slug;
   - whether the tool may initialize Git and create the initial commit.
3. Default to `pipeline` only when the user does not need Python custom logic. Choose `agent` when they ask for CustomAction, CustomRecognition, AgentServer, or Python business logic.
4. For a normal maintained repository, recommend `dev-tools` and `github`; do not silently add them when the user asked for a minimal resource-only project.
5. Require `resourcePackSlug` whenever `resource-pack` is selected. Keep it ASCII kebab-case; use the label for localized display text.
6. Call `create_project` once with the resolved choices. Avoid a sequence of partially overlapping create calls.
7. Inspect the returned report before declaring success. Report written files, skipped files, pending actions, and suggested commands.
8. Run `doctor` from the new project root. The MCP server keeps the working directory it was launched with, so use the CLI fallback with its working directory set to the new project when necessary.
9. Run `$maa-project-init` against the completed project to create `basic_info.md`, then route further work to the relevant Maa skill.

If the loaded upstream guidance says Git initialization and the initial commit are enabled by default, keep `git=false` (or the equivalent current flag) when the user has not accepted an automatic initial commit, and report the `git` field from the create report.

## Maintain an existing project

1. Confirm the target is a create-maa-project project by locating `maa-project.json`.
2. Run `doctor --report` first. Use `doctor.checks[].summary` and `details`, not guesses, to identify scaffold or managed-file findings.
3. Prefer `sync`, `add`, or a specific `update` target over manual edits to tool-managed files. Migrate legacy schema v1 only with an explicit `sync config` request.
4. Never invent an `update all` operation. Use explicit update targets so pending actions and failures stay attributable.
5. Before restore, list backups, inspect the selected backup, run a dry-run preview, and obtain explicit confirmation when restoration can replace current work. Preserve both `backupId` and `preRestoreBackupId` in the result.

## Interpret reports

Treat the structured report as the source of truth:

- `ok: true` means the requested operation completed, but `pending` may still require follow-up.
- A doctor report with `ok: false` is a health finding, not proof that project creation failed.
- Show `pending[].command` and its reason. Execute it only when it is safe, in scope, and authorized.
- Read `doctor.checks`, `error.code`, `backupId`, `git`, and `logPath` as structured evidence. Do not infer a failure from human-readable stderr when stdout contains a report.
- Preserve the log path when reporting a failure.

## Safety boundaries

- Do not copy create-maa-project source or templates into Everything Maa. It remains an external AGPL runtime.
- Do not pass `--force`, `--allow-non-git-dir`, `--allow-pending-commit`, `--clear-stale-lock`, or restore operations by default. Use a protection-waiving flag only when the report asks for that exact flag and the user explicitly agrees.
- Do not hide downloads behind a dry-looking command. State when OCR models, runtimes, or dependencies may be fetched.
- Do not claim the project is ready while doctor findings or pending actions remain unexplained.
- Do not commit, push, publish, or create remote repositories unless the user requested those actions.

Attribution

KhazixW2KhazixW2
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