feat(skills): declare platforms frontmatter for all 79 undeclared built-in skills

Completes the Windows-gating coverage for the built-in skills/ tree. Every
bundled SKILL.md now carries an explicit platforms: declaration so the
loader (agent.skill_utils.skill_matches_platform) can skip-load skills
that don't fit the current OS.

74 skills declared cross-platform (platforms: [linux, macos, windows]):
  Creative (16): ascii-art, ascii-video, architecture-diagram, baoyu-comic,
    baoyu-infographic, claude-design, creative-ideation, design-md,
    excalidraw, humanizer, manim-video, p5js, pixel-art,
    popular-web-designs, pretext, sketch, songwriting-and-ai-music,
    touchdesigner-mcp
  Autonomous agents: claude-code, codex, hermes-agent, opencode
  Data/devops: jupyter-live-kernel, kanban-orchestrator, kanban-worker,
    webhook-subscriptions, dogfood, codebase-inspection
  GitHub: github-auth, github-code-review, github-issues,
    github-pr-workflow, github-repo-management
  Media: gif-search, heartmula, songsee, spotify, youtube-content
  MCP / email / gaming / notes / smart-home: native-mcp, himalaya,
    pokemon-player, obsidian, openhue
  mlops (non-broken): weights-and-biases, huggingface-hub, llama-cpp,
    outlines, segment-anything-model, dspy, trl-fine-tuning
  Productivity: airtable, google-workspace, linear, maps, nano-pdf,
    notion, ocr-and-documents, powerpoint
  Red-teaming / research: godmode, arxiv, blogwatcher, llm-wiki,
    polymarket
  Software-dev: debugging-hermes-tui-commands, hermes-agent-skill-authoring,
    node-inspect-debugger, plan, requesting-code-review, spike,
    subagent-driven-development, systematic-debugging,
    test-driven-development, writing-plans
  Misc: yuanbao

5 skills gated from Windows (platforms: [linux, macos]):
  mlops/inference/vllm (serving-llms-vllm)
    vLLM is officially Linux-only; Windows requires WSL.
  mlops/training/axolotl
    Axolotl's flash-attn + deepspeed + bitsandbytes stack is Linux-first.
  mlops/training/unsloth
    Requires Triton + xformers + flash-attn — Linux only in practice.
  mlops/models/audiocraft (audiocraft-audio-generation)
    torchaudio ffmpeg backend + encodec dependencies are Linux-first.
  mlops/inference/obliteratus
    Research abliteration workflow; relies on Linux-focused pytorch
    kernels and MLX — no first-class Windows path.

Same strict-over-lenient policy as the optional-skills sweep: when the
underlying tool's Windows support is rough, missing, or WSL-only, gate the
skill. Easier to un-gate after verified Windows support lands than to leak
partial support that manifests as mid-task failures.

Combined with prior commits in this branch, every bundled SKILL.md
(skills/ + optional-skills/) now has a platforms: declaration.

skills/mlops/evaluation/weights-and-biases/SKILL.md

@@ -5,6 +5,7 @@ version: 1.0.0
 author: Orchestra Research
 license: MIT
 dependencies: [wandb]
+platforms: [linux, macos, windows]
 metadata:
   hermes:
     tags: [MLOps, Weights And Biases, WandB, Experiment Tracking, Hyperparameter Tuning, Model Registry, Collaboration, Real-Time Visualization, PyTorch, TensorFlow, HuggingFace]

skills/mlops/huggingface-hub/SKILL.md

@@ -5,6 +5,7 @@ version: 1.0.0
 author: Hugging Face
 license: MIT
 tags: [huggingface, hf, models, datasets, hub, mlops]
+platforms: [linux, macos, windows]
 ---
 
 # Hugging Face CLI (`hf`) Reference Guide

skills/mlops/inference/llama-cpp/SKILL.md

@@ -5,6 +5,7 @@ version: 2.1.2
 author: Orchestra Research
 license: MIT
 dependencies: [llama-cpp-python>=0.2.0]
+platforms: [linux, macos, windows]
 metadata:
   hermes:
     tags: [llama.cpp, GGUF, Quantization, Hugging Face Hub, CPU Inference, Apple Silicon, Edge Deployment, AMD GPUs, Intel GPUs, NVIDIA, URL-first]

skills/mlops/inference/obliteratus/SKILL.md

@@ -5,6 +5,7 @@ version: 2.0.0
 author: Hermes Agent
 license: MIT
 dependencies: [obliteratus, torch, transformers, bitsandbytes, accelerate, safetensors]
+platforms: [linux, macos]
 metadata:
   hermes:
     tags: [Abliteration, Uncensoring, Refusal-Removal, LLM, Weight-Projection, SVD, Mechanistic-Interpretability, HuggingFace, Model-Surgery]

skills/mlops/inference/outlines/SKILL.md

@@ -5,6 +5,7 @@ version: 1.0.0
 author: Orchestra Research
 license: MIT
 dependencies: [outlines, transformers, vllm, pydantic]
+platforms: [linux, macos, windows]
 metadata:
   hermes:
     tags: [Prompt Engineering, Outlines, Structured Generation, JSON Schema, Pydantic, Local Models, Grammar-Based Generation, vLLM, Transformers, Type Safety]

skills/mlops/inference/vllm/SKILL.md

@@ -5,6 +5,7 @@ version: 1.0.0
 author: Orchestra Research
 license: MIT
 dependencies: [vllm, torch, transformers]
+platforms: [linux, macos]
 metadata:
   hermes:
     tags: [vLLM, Inference Serving, PagedAttention, Continuous Batching, High Throughput, Production, OpenAI API, Quantization, Tensor Parallelism]

skills/mlops/models/audiocraft/SKILL.md

@@ -5,6 +5,7 @@ version: 1.0.0
 author: Orchestra Research
 license: MIT
 dependencies: [audiocraft, torch>=2.0.0, transformers>=4.30.0]
+platforms: [linux, macos]
 metadata:
   hermes:
     tags: [Multimodal, Audio Generation, Text-to-Music, Text-to-Audio, MusicGen]

skills/mlops/models/segment-anything/SKILL.md

@@ -5,6 +5,7 @@ version: 1.0.0
 author: Orchestra Research
 license: MIT
 dependencies: [segment-anything, transformers>=4.30.0, torch>=1.7.0]
+platforms: [linux, macos, windows]
 metadata:
   hermes:
     tags: [Multimodal, Image Segmentation, Computer Vision, SAM, Zero-Shot]

skills/mlops/research/dspy/SKILL.md

@@ -5,6 +5,7 @@ version: 1.0.0
 author: Orchestra Research
 license: MIT
 dependencies: [dspy, openai, anthropic]
+platforms: [linux, macos, windows]
 metadata:
   hermes:
     tags: [Prompt Engineering, DSPy, Declarative Programming, RAG, Agents, Prompt Optimization, LM Programming, Stanford NLP, Automatic Optimization, Modular AI]

skills/mlops/training/axolotl/SKILL.md

@@ -5,6 +5,7 @@ version: 1.0.0
 author: Orchestra Research
 license: MIT
 dependencies: [axolotl, torch, transformers, datasets, peft, accelerate, deepspeed]
+platforms: [linux, macos]
 metadata:
   hermes:
     tags: [Fine-Tuning, Axolotl, LLM, LoRA, QLoRA, DPO, KTO, ORPO, GRPO, YAML, HuggingFace, DeepSpeed, Multimodal]

skills/mlops/training/trl-fine-tuning/SKILL.md

@@ -5,6 +5,7 @@ version: 1.0.0
 author: Orchestra Research
 license: MIT
 dependencies: [trl, transformers, datasets, peft, accelerate, torch]
+platforms: [linux, macos, windows]
 metadata:
   hermes:
     tags: [Post-Training, TRL, Reinforcement Learning, Fine-Tuning, SFT, DPO, PPO, GRPO, RLHF, Preference Alignment, HuggingFace]

skills/mlops/training/unsloth/SKILL.md

@@ -5,6 +5,7 @@ version: 1.0.0
 author: Orchestra Research
 license: MIT
 dependencies: [unsloth, torch, transformers, trl, datasets, peft]
+platforms: [linux, macos]
 metadata:
   hermes:
     tags: [Fine-Tuning, Unsloth, Fast Training, LoRA, QLoRA, Memory-Efficient, Optimization, Llama, Mistral, Gemma, Qwen]