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feat(optional-skills): declare platforms frontmatter for all 63 undeclared skills
Extends the Windows-gating work to the optional-skills/ tree. Every
SKILL.md that previously omitted the platforms: field now carries an
explicit declaration, which Hermes's loader (agent.skill_utils.
skill_matches_platform) honors to skip-load on incompatible OSes.
58 skills declared cross-platform (platforms: [linux, macos, windows]):
autonomous-ai-agents/blackbox, autonomous-ai-agents/honcho
blockchain/base, blockchain/solana
communication/one-three-one-rule
creative/blender-mcp, creative/concept-diagrams, creative/hyperframes,
creative/kanban-video-orchestrator, creative/meme-generation
devops/cli (inference-sh-cli), devops/docker-management
dogfood/adversarial-ux-test
email/agentmail
finance/3-statement-model, finance/comps-analysis, finance/dcf-model,
finance/excel-author, finance/lbo-model, finance/merger-model,
finance/pptx-author
health/fitness-nutrition, health/neuroskill-bci
mcp/fastmcp, mcp/mcporter
migration/openclaw-migration
mlops/accelerate, mlops/chroma, mlops/clip, mlops/guidance,
mlops/hermes-atropos-environments, mlops/huggingface-tokenizers,
mlops/instructor, mlops/lambda-labs, mlops/llava, mlops/modal,
mlops/peft, mlops/pinecone, mlops/pytorch-lightning, mlops/qdrant,
mlops/saelens, mlops/simpo, mlops/stable-diffusion
productivity/canvas, productivity/shop-app, productivity/shopify,
productivity/siyuan, productivity/telephony
research/domain-intel, research/drug-discovery, research/duckduckgo-search,
research/gitnexus-explorer, research/parallel-cli, research/scrapling
security/1password, security/oss-forensics, security/sherlock
web-development/page-agent
5 skills gated from Windows (platforms: [linux, macos]):
mlops/flash-attention - Flash Attention wheels are Linux-first; Windows
install requires building from source with CUDA
mlops/faiss - faiss-gpu has no Windows wheel; gate rather than
leak partial (faiss-cpu) support
mlops/nemo-curator - NVIDIA NeMo ecosystem has no first-class Windows path
mlops/slime - Megatron+SGLang RL stack is Linux-only in practice
mlops/whisper - openai-whisper + ffmpeg setup on Windows is
non-trivial; gate until Windows install stanza lands
Methodology: scanned every SKILL.md for Windows-hostile signals
(apt-get, brew, systemd, osascript, ptrace, X11 binaries, POSIX-only
Python APIs, Docker POSIX $(pwd) bind-mounts, explicit 'linux-only' /
'macos-only' text). 3 skills flagged as having hard signals on review:
docker-management and qdrant only had POSIX $(pwd) docker examples and
the tools themselves (Docker Desktop, Qdrant) run fine on Windows —
declared ALL. whisper had an apt/brew ffmpeg install path and nothing
else but the openai-whisper Windows install story is rough enough to
warrant gating.
Strict-over-lenient policy: when in doubt, gate. Easier to un-gate after
verified Windows support lands than to leak partial support that
manifests as mid-task failures for Windows users.
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@ -5,6 +5,7 @@ version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [accelerate, torch, transformers]
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [Distributed Training, HuggingFace, Accelerate, DeepSpeed, FSDP, Mixed Precision, PyTorch, DDP, Unified API, Simple]
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@ -5,6 +5,7 @@ version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [chromadb, sentence-transformers]
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [RAG, Chroma, Vector Database, Embeddings, Semantic Search, Open Source, Self-Hosted, Document Retrieval, Metadata Filtering]
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@ -5,6 +5,7 @@ version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [transformers, torch, pillow]
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [Multimodal, CLIP, Vision-Language, Zero-Shot, Image Classification, OpenAI, Image Search, Cross-Modal Retrieval, Content Moderation]
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@ -5,6 +5,7 @@ version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [faiss-cpu, faiss-gpu, numpy]
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platforms: [linux, macos]
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metadata:
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hermes:
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tags: [RAG, FAISS, Similarity Search, Vector Search, Facebook AI, GPU Acceleration, Billion-Scale, K-NN, HNSW, High Performance, Large Scale]
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@ -5,6 +5,7 @@ version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [flash-attn, torch, transformers]
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platforms: [linux, macos]
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metadata:
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hermes:
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tags: [Optimization, Flash Attention, Attention Optimization, Memory Efficiency, Speed Optimization, Long Context, PyTorch, SDPA, H100, FP8, Transformers]
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@ -5,6 +5,7 @@ version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [guidance, transformers]
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [Prompt Engineering, Guidance, Constrained Generation, Structured Output, JSON Validation, Grammar, Microsoft Research, Format Enforcement, Multi-Step Workflows]
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@ -4,6 +4,7 @@ description: Build, test, and debug Hermes Agent RL environments for Atropos tra
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version: 1.1.0
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author: Hermes Agent
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license: MIT
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [atropos, rl, environments, training, reinforcement-learning, reward-functions]
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@ -5,6 +5,7 @@ version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [tokenizers, transformers, datasets]
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [Tokenization, HuggingFace, BPE, WordPiece, Unigram, Fast Tokenization, Rust, Custom Tokenizer, Alignment Tracking, Production]
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@ -5,6 +5,7 @@ version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [instructor, pydantic, openai, anthropic]
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [Prompt Engineering, Instructor, Structured Output, Pydantic, Data Extraction, JSON Parsing, Type Safety, Validation, Streaming, OpenAI, Anthropic]
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@ -5,6 +5,7 @@ version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [lambda-cloud-client>=1.0.0]
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [Infrastructure, GPU Cloud, Training, Inference, Lambda Labs]
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author: Orchestra Research
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license: MIT
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dependencies: [transformers, torch, pillow]
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [LLaVA, Vision-Language, Multimodal, Visual Question Answering, Image Chat, CLIP, Vicuna, Conversational AI, Instruction Tuning, VQA]
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@ -5,6 +5,7 @@ version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [modal>=0.64.0]
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [Infrastructure, Serverless, GPU, Cloud, Deployment, Modal]
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author: Orchestra Research
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license: MIT
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dependencies: [nemo-curator, cudf, dask, rapids]
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platforms: [linux, macos]
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metadata:
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hermes:
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tags: [Data Processing, NeMo Curator, Data Curation, GPU Acceleration, Deduplication, Quality Filtering, NVIDIA, RAPIDS, PII Redaction, Multimodal, LLM Training Data]
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@ -5,6 +5,7 @@ version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [peft>=0.13.0, transformers>=4.45.0, torch>=2.0.0, bitsandbytes>=0.43.0]
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [Fine-Tuning, PEFT, LoRA, QLoRA, Parameter-Efficient, Adapters, Low-Rank, Memory Optimization, Multi-Adapter]
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@ -5,6 +5,7 @@ version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [pinecone-client]
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [RAG, Pinecone, Vector Database, Managed Service, Serverless, Hybrid Search, Production, Auto-Scaling, Low Latency, Recommendations]
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@ -5,6 +5,7 @@ version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [lightning, torch, transformers]
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [PyTorch Lightning, Training Framework, Distributed Training, DDP, FSDP, DeepSpeed, High-Level API, Callbacks, Best Practices, Scalable]
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@ -5,6 +5,7 @@ version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [qdrant-client>=1.12.0]
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [RAG, Vector Search, Qdrant, Semantic Search, Embeddings, Similarity Search, HNSW, Production, Distributed]
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author: Orchestra Research
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license: MIT
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dependencies: [sae-lens>=6.0.0, transformer-lens>=2.0.0, torch>=2.0.0]
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [Sparse Autoencoders, SAE, Mechanistic Interpretability, Feature Discovery, Superposition]
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author: Orchestra Research
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license: MIT
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dependencies: [torch, transformers, datasets, trl, accelerate]
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [Post-Training, SimPO, Preference Optimization, Alignment, DPO Alternative, Reference-Free, LLM Alignment, Efficient Training]
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@ -5,6 +5,7 @@ version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [sglang-router>=0.2.3, ray, torch>=2.0.0, transformers>=4.40.0]
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platforms: [linux, macos]
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metadata:
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hermes:
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tags: [Reinforcement Learning, Megatron-LM, SGLang, GRPO, Post-Training, GLM]
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@ -5,6 +5,7 @@ version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [diffusers>=0.30.0, transformers>=4.41.0, accelerate>=0.31.0, torch>=2.0.0]
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [Image Generation, Stable Diffusion, Diffusers, Text-to-Image, Multimodal, Computer Vision]
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@ -5,6 +5,7 @@ version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [openai-whisper, transformers, torch]
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platforms: [linux, macos]
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metadata:
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hermes:
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tags: [Whisper, Speech Recognition, ASR, Multimodal, Multilingual, OpenAI, Speech-To-Text, Transcription, Translation, Audio Processing]
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