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Optional Skills Catalog
Official optional skills ship with the hermes-agent repository under optional-skills/ but are not active by default. Install them explicitly:
hermes skills install official/<category>/<skill>
For example:
hermes skills install official/blockchain/solana
hermes skills install official/mlops/flash-attention
Once installed, the skill appears in the agent's skill list and can be loaded automatically when relevant tasks are detected.
To uninstall:
hermes skills uninstall <skill-name>
Autonomous AI Agents
| Skill | Description |
|---|---|
| blackbox | Delegate coding tasks to Blackbox AI CLI agent. Multi-model agent with built-in judge that runs tasks through multiple LLMs and picks the best result. |
| honcho | Configure and use Honcho memory with Hermes — cross-session user modeling, multi-profile peer isolation, observation config, and dialectic reasoning. |
Blockchain
| Skill | Description |
|---|---|
| base | Query Base (Ethereum L2) blockchain data with USD pricing — wallet balances, token info, transaction details, gas analysis, contract inspection, whale detection, and live network stats. No API key required. |
| solana | Query Solana blockchain data with USD pricing — wallet balances, token portfolios, transaction details, NFTs, whale detection, and live network stats. No API key required. |
Communication
| Skill | Description |
|---|---|
| one-three-one-rule | Structured communication framework for proposals and decision-making. |
Creative
| Skill | Description |
|---|---|
| blender-mcp | Control Blender directly from Hermes via socket connection to the blender-mcp addon. Create 3D objects, materials, animations, and run arbitrary Blender Python (bpy) code. |
| meme-generation | Generate real meme images by picking a template and overlaying text with Pillow. Produces actual .png meme files. |
DevOps
| Skill | Description |
|---|---|
| cli | Run 150+ AI apps via inference.sh CLI (infsh) — image generation, video creation, LLMs, search, 3D, and social automation. |
| docker-management | Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization. |
Email
| Skill | Description |
|---|---|
| agentmail | Give the agent its own dedicated email inbox via AgentMail. Send, receive, and manage email autonomously using agent-owned email addresses. |
Health
| Skill | Description |
|---|---|
| neuroskill-bci | Brain-Computer Interface (BCI) integration for neuroscience research workflows. |
MCP
| Skill | Description |
|---|---|
| fastmcp | Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Covers wrapping APIs or databases as MCP tools, exposing resources or prompts, and deployment. |
Migration
| Skill | Description |
|---|---|
| openclaw-migration | Migrate a user's OpenClaw customization footprint into Hermes Agent. Imports memories, SOUL.md, command allowlists, user skills, and selected workspace assets. |
MLOps
The largest optional category — covers the full ML pipeline from data curation to production inference.
| Skill | Description |
|---|---|
| accelerate | Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. |
| chroma | Open-source embedding database. Store embeddings and metadata, perform vector and full-text search. Simple 4-function API for RAG and semantic search. |
| faiss | Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). |
| flash-attention | Optimize transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Supports PyTorch SDPA, flash-attn library, H100 FP8, and sliding window. |
| hermes-atropos-environments | Build, test, and debug Hermes Agent RL environments for Atropos training. Covers the HermesAgentBaseEnv interface, reward functions, agent loop integration, and evaluation. |
| huggingface-tokenizers | Fast Rust-based tokenizers for research and production. Tokenizes 1GB in under 20 seconds. Supports BPE, WordPiece, and Unigram algorithms. |
| instructor | Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, and stream partial results. |
| lambda-labs | Reserved and on-demand GPU cloud instances for ML training and inference. SSH access, persistent filesystems, and multi-node clusters. |
| llava | Large Language and Vision Assistant — visual instruction tuning and image-based conversations combining CLIP vision with LLaMA language models. |
| nemo-curator | GPU-accelerated data curation for LLM training. Fuzzy deduplication (16x faster), quality filtering (30+ heuristics), semantic dedup, PII redaction. Scales with RAPIDS. |
| pinecone | Managed vector database for production AI. Auto-scaling, hybrid search (dense + sparse), metadata filtering, and low latency (under 100ms p95). |
| pytorch-lightning | High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks, and minimal boilerplate. |
| qdrant | High-performance vector similarity search engine. Rust-powered with fast nearest neighbor search, hybrid search with filtering, and scalable vector storage. |
| saelens | Train and analyze Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. |
| simpo | Simple Preference Optimization — reference-free alternative to DPO with better performance (+6.4 pts on AlpacaEval 2.0). No reference model needed. |
| slime | LLM post-training with RL using Megatron+SGLang framework. Custom data generation workflows and tight Megatron-LM integration for RL scaling. |
| tensorrt-llm | Optimize LLM inference with NVIDIA TensorRT for maximum throughput. 10-100x faster than PyTorch on A100/H100 with quantization (FP8/INT4) and in-flight batching. |
| torchtitan | PyTorch-native distributed LLM pretraining with 4D parallelism (FSDP2, TP, PP, CP). Scale from 8 to 512+ GPUs with Float8 and torch.compile. |
Productivity
| Skill | Description |
|---|---|
| canvas | Canvas LMS integration — fetch enrolled courses and assignments using API token authentication. |
| memento-flashcards | Spaced repetition flashcard system for learning and knowledge retention. |
| siyuan | SiYuan Note API for searching, reading, creating, and managing blocks and documents in a self-hosted knowledge base. |
| telephony | Give Hermes phone capabilities — provision a Twilio number, send/receive SMS/MMS, make calls, and place AI-driven outbound calls through Bland.ai or Vapi. |
Research
| Skill | Description |
|---|---|
| bioinformatics | Gateway to 400+ bioinformatics skills from bioSkills and ClawBio. Covers genomics, transcriptomics, single-cell, variant calling, pharmacogenomics, metagenomics, and structural biology. |
| domain-intel | Passive domain reconnaissance using Python stdlib. Subdomain discovery, SSL certificate inspection, WHOIS lookups, DNS records, and bulk multi-domain analysis. No API keys required. |
| duckduckgo-search | Free web search via DuckDuckGo — text, news, images, videos. No API key needed. |
| gitnexus-explorer | Index a codebase with GitNexus and serve an interactive knowledge graph via web UI and Cloudflare tunnel. |
| parallel-cli | Vendor skill for Parallel CLI — agent-native web search, extraction, deep research, enrichment, and monitoring. |
| qmd | Search personal knowledge bases, notes, docs, and meeting transcripts locally using qmd — a hybrid retrieval engine with BM25, vector search, and LLM reranking. |
| scrapling | Web scraping with Scrapling — HTTP fetching, stealth browser automation, Cloudflare bypass, and spider crawling via CLI and Python. |
Security
| Skill | Description |
|---|---|
| 1password | Set up and use 1Password CLI (op). Install the CLI, enable desktop app integration, sign in, and read/inject secrets for commands. |
| oss-forensics | Open-source software forensics — analyze packages, dependencies, and supply chain risks. |
| sherlock | OSINT username search across 400+ social networks. Hunt down social media accounts by username. |
Contributing Optional Skills
To add a new optional skill to the repository:
- Create a directory under
optional-skills/<category>/<skill-name>/ - Add a
SKILL.mdwith standard frontmatter (name, description, version, author) - Include any supporting files in
references/,templates/, orscripts/subdirectories - Submit a pull request — the skill will appear in this catalog once merged