fix(unsloth-training): quote description for valid YAML frontmatter (v1.0.2)

Co-Authored-By: duyetbot <duyetbot@users.noreply.github.com>

Author: duyet

unsloth-training/.claude-plugin/plugin.json

@@ -1,7 +1,7 @@
 {
   "name": "unsloth-training",
   "description": "Fine-tune LLMs with Unsloth using GRPO or SFT. Includes dataset preparation, synthetic data generation, environment flags, MLX (Apple Silicon), FP8, vision models, mobile export, GGUF.",
-  "version": "1.0.1",
+  "version": "1.0.2",
   "author": {
     "name": "duyet"
   },

unsloth-training/.codex-plugin/plugin.json

@@ -1,6 +1,6 @@
 {
   "name": "unsloth-training",
-  "version": "1.0.1",
+  "version": "1.0.2",
   "description": "Fine-tune LLMs with Unsloth using GRPO or SFT. Includes dataset preparation, synthetic data generation, environment flags, MLX (Apple Silicon), FP8, vision models, mobile export, GGUF.",
   "author": {
     "name": "duyet"

unsloth-training/skills/unsloth-training/SKILL.md

@@ -1,6 +1,6 @@
 ---
 name: unsloth-training
-description: Fine-tune LLMs with Unsloth using GRPO or SFT. Supports FP8, vision models, mobile deployment, Docker, packing, GGUF export, dataset preparation, synthetic data, MLX (Apple Silicon). Use when: train with GRPO, fine-tune, reward functions, SFT training, FP8 training, vision fine-tuning, phone deployment, docker training, packing, export to GGUF, prepare dataset, synthetic data, install unsloth, environment flags, MLX training.
+description: "Fine-tune LLMs with Unsloth using GRPO or SFT. Supports FP8, vision models, mobile deployment, Docker, packing, GGUF export, dataset preparation, synthetic data, MLX (Apple Silicon). Use when: train with GRPO, fine-tune, reward functions, SFT training, FP8 training, vision fine-tuning, phone deployment, docker training, packing, export to GGUF, prepare dataset, synthetic data, install unsloth, environment flags, MLX training."
 ---
 
 <objective>