hermes-agent/website/docs/reference/optional-skills-catalog.md

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9	Optional Skills Catalog	Official optional skills shipped with hermes-agent — install via hermes skills install official/<category>/<skill>

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>

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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.

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Contributing Optional Skills

To add a new optional skill to the repository:

1. Create a directory under optional-skills/<category>/<skill-name>/
2. Add a SKILL.md with standard frontmatter (name, description, version, author)
3. Include any supporting files in references/, templates/, or scripts/ subdirectories
4. Submit a pull request — the skill will appear in this catalog once merged