feat(adaptors): add Atlas Cloud OpenAI-compatible adaptor (#396)

Adds Atlas Cloud as an OpenAI-compatible platform adaptor (`--target atlas`, `ATLAS_API_KEY`), a thin OpenAICompatibleAdaptor subclass mirroring together/deepseek. Includes neutral Multi-LLM table entry, labeled Sponsors section in README (en + zh-CN), and parametrized adaptor tests.

Co-authored-by: lucaszhu-hue <lucaszhu-hue@users.noreply.github.com>

Author: lucaszhu-hue

README.md

@@ -1361,3 +1361,15 @@ Happy skill building! 🚀
 ## 🔒 Security
 
 [![MseeP.ai Security Assessment Badge](https://mseep.net/pr/yusufkaraaslan-skill-seekers-badge.png)](https://mseep.ai/app/yusufkaraaslan-skill-seekers)
+
+---
+
+## 💛 Sponsors
+
+<p align="center">
+  <a href="https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=skill_seekers">
+    <img src="docs/assets/atlas-cloud-logo.png" alt="Atlas Cloud" width="200">
+  </a>
+</p>
+
+[Atlas Cloud](https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=skill_seekers) — a full-modal, OpenAI-compatible AI inference platform. Skill Seekers supports it as a packaging/enhancement target via `--target atlas` with `ATLAS_API_KEY`.

README.zh-CN.md

@@ -1139,3 +1139,15 @@ skill-seekers quality output/react/  # 质量评分
 ```bash
 skill-seekers package output/react/ --chunk-for-rag --chunk-tokens 512 --chunk-overlap-tokens 50
 ```
+
+---
+
+## 💛 赞助商
+
+<p align="center">
+  <a href="https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=skill_seekers">
+    <img src="docs/assets/atlas-cloud-logo.png" alt="Atlas Cloud" width="200">
+  </a>
+</p>
+
+[Atlas Cloud](https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=skill_seekers) — 全模态、OpenAI 兼容的 AI 推理平台。Skill Seekers 通过 `--target atlas`（配置 `ATLAS_API_KEY`）支持将其作为打包/增强目标。

docs/assets/atlas-cloud-logo.png

@@ -10,6 +10,7 @@ Skill Seekers supports multiple LLM platforms through a clean adaptor system. Th
 | **Google Gemini** | ✅ Full Support | tar.gz | ✅ Automatic | ✅ Yes | GOOGLE_API_KEY |
 | **OpenAI ChatGPT** | ✅ Full Support | ZIP + Vector Store | ✅ Automatic | ✅ Yes | OPENAI_API_KEY |
 | **MiniMax AI** | ✅ Full Support | ZIP | ✅ Validation | ✅ Yes | MINIMAX_API_KEY |
+| **Atlas Cloud** | ✅ Full Support | ZIP | ✅ Validation | ✅ Yes | ATLAS_API_KEY |
 | **Generic Markdown** | ✅ Export Only | ZIP | ❌ Manual | ❌ No | None |
 
 ## Quick Start

docs/integrations/MULTI_LLM_SUPPORT.md

@@ -116,6 +116,11 @@
 except ImportError:
     IBMBobAdaptor = None
 
+try:
+    from .atlas import AtlasAdaptor
+except ImportError:
+    AtlasAdaptor = None
+
 
 # Registry of available adaptors
 ADAPTORS: dict[str, type[SkillAdaptor]] = {}
@@ -163,6 +168,8 @@
     ADAPTORS["fireworks"] = FireworksAdaptor
 if IBMBobAdaptor:
     ADAPTORS["ibm-bob"] = IBMBobAdaptor
+if AtlasAdaptor:
+    ADAPTORS["atlas"] = AtlasAdaptor
 
 
 def get_adaptor(platform: str, config: dict = None) -> SkillAdaptor:

src/skill_seekers/cli/adaptors/__init__.py

@@ -0,0 +1,19 @@
+#!/usr/bin/env python3
+"""
+Atlas Cloud Adaptor
+
+OpenAI-compatible LLM platform adaptor for Atlas Cloud.
+"""
+
+from .openai_compatible import OpenAICompatibleAdaptor
+
+
+class AtlasAdaptor(OpenAICompatibleAdaptor):
+    """Atlas Cloud platform adaptor."""
+
+    PLATFORM = "atlas"
+    PLATFORM_NAME = "Atlas Cloud"
+    DEFAULT_API_ENDPOINT = "https://api.atlascloud.ai/v1"
+    DEFAULT_MODEL = "deepseek-ai/deepseek-v4-pro"
+    ENV_VAR_NAME = "ATLAS_API_KEY"
+    PLATFORM_URL = "https://www.atlascloud.ai/"

src/skill_seekers/cli/adaptors/atlas.py

@@ -21,6 +21,7 @@
 
 
 PLATFORMS = [
+    "atlas",
     "deepseek",
     "fireworks",
     "kimi",
@@ -30,6 +31,13 @@
 ]
 
 PLATFORM_EXPECTED = {
+    "atlas": {
+        "name": "Atlas Cloud",
+        "endpoint_contains": "atlascloud",
+        "model_truthy": True,
+        "env_var": "ATLAS_API_KEY",
+        "api_base_contains": "atlascloud",
+    },
     "deepseek": {
         "name": "DeepSeek AI",
         "endpoint_contains": "deepseek",