johnson7788/MultiUserClaw - Seite 3

petdex

Install and select animated petdex mascots for Hermes.

Quellsprache: Englisch

teams-meeting-pipeline

Operate the Teams meeting summary pipeline via Hermes CLI — summarize meetings, inspect pipeline status, replay jobs, manage Microsoft Graph subscriptions.

Quellsprache: Englisch

arxiv

Search arXiv papers by keyword, author, category, or ID.

Quellsprache: Englisch

llm-wiki

Karpathy's LLM Wiki: build/query interlinked markdown KB.

Quellsprache: Englisch

polymarket

Query Polymarket: markets, prices, orderbooks, history.

Quellsprache: Englisch

research-paper-writing

Write ML papers for NeurIPS/ICML/ICLR: design→submit.

Quellsprache: Englisch

hermes-agent-skill-authoring

Author in-repo SKILL.md: frontmatter, validator, structure, and writing-quality principles.

Quellsprache: Englisch

plan

Plan mode: write an actionable markdown plan to .hermes/plans/, no execution. Bite-sized tasks, exact paths, complete code.

Quellsprache: Englisch

requesting-code-review

Pre-commit review: security scan, quality gates, auto-fix.

Quellsprache: Englisch

simplify-code

Parallel 3-agent cleanup of recent code changes.

Quellsprache: Englisch

spike

Throwaway experiments to validate an idea before build.

Quellsprache: Englisch

systematic-debugging

4-phase root cause debugging: understand bugs before fixing.

Quellsprache: Englisch

test-driven-development

TDD: enforce RED-GREEN-REFACTOR, tests before code.

Quellsprache: Englisch

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. Requires the blackbox CLI and a Blackbox AI API key.

Quellsprache: Englisch

evm

Read-only EVM client: wallets, tokens, gas across 8 chains.

Quellsprache: Englisch

solana

Query Solana blockchain data with USD pricing — wallet balances, token portfolios with values, transaction details, NFTs, whale detection, and live network stats. Uses Solana RPC + CoinGecko. No API key required.

Quellsprache: Englisch

one-three-one-rule

Structured decision-making framework for technical proposals and trade-off analysis. When the user faces a choice between multiple approaches (architecture decisions, tool selection, refactoring strategies, migration paths), this skill produces a 1-3-1…

Quellsprache: Englisch

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. Use when user wants to create or modify anything in Blender.

Quellsprache: Englisch

concept-diagrams

Generate flat, minimal light/dark-aware SVG diagrams as standalone HTML files, using a unified educational visual language with 9 semantic color ramps, sentence-case typography, and automatic dark mode. Best suited for educational and non-software visuals —…

Quellsprache: Englisch

hyperframes

Create HTML-based video compositions, animated title cards, social overlays, captioned talking-head videos, audio-reactive visuals, and shader transitions using HyperFrames. HTML is the source of truth for video. Use when the user wants a rendered MP4/WebM…

Quellsprache: Englisch

inference-sh-cli

Run 150+ AI apps via inference.sh CLI (infsh) — image generation, video creation, LLMs, search, 3D, social automation. Uses the terminal tool. Triggers: inference.sh, infsh, ai apps, flux, veo, image generation, video generation, seedream, seedance, tavily

Quellsprache: Englisch

docker-management

Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.

Quellsprache: Englisch

pinggy-tunnel

Zero-install localhost tunnels over SSH via Pinggy.

Quellsprache: Englisch

adversarial-ux-test

Roleplay the most difficult, tech-resistant user for your product. Browse the app as that persona, find every UX pain point, then filter complaints through a pragmatism layer to separate real problems from noise. Creates actionable tickets from genuine issues…

Quellsprache: Englisch

agentmail

Give the agent its own dedicated email inbox via AgentMail. Send, receive, and manage email autonomously using agent-owned email addresses (e.g. hermes-agent@agentmail.to).

Quellsprache: Englisch

excel-author

Build auditable Excel workbooks headless with openpyxl — blue/black/green cell conventions, formulas over hardcodes, named ranges, balance checks, sensitivity tables. Use for financial models, audit outputs, reconciliations.

Quellsprache: Englisch

lbo-model

Build leveraged buyout models in Excel — sources & uses, debt schedule, cash sweep, exit multiple, IRR/MOIC sensitivity. Pairs with excel-author. Use for PE screening, sponsor-case valuation, or illustrative LBO in a pitch.

Quellsprache: Englisch

merger-model

Build accretion/dilution (merger) models in Excel — pro-forma P&L, synergies, financing mix, EPS impact. Pairs with excel-author. Use for M&A pitches, board materials, or deal evaluation.

Quellsprache: Englisch

pptx-author

Build PowerPoint decks headless with python-pptx. Pairs with excel-author for model-backed decks where every number traces to a workbook cell. Use for pitch decks, IC memos, earnings notes.

Quellsprache: Englisch

neuroskill-bci

Connect to a running NeuroSkill instance and incorporate the user's real-time cognitive and emotional state (focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, sleep staging, and 40+ derived EXG scores) into responses. Requires a BCI…

Quellsprache: Englisch

fastmcp

Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cursor, or HTTP…

Quellsprache: Englisch

mcporter

Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.

Quellsprache: Englisch

huggingface-accelerate

Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace…

Quellsprache: Englisch

chroma

Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or…

Quellsprache: Englisch

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). Use for fast k-NN search, large-scale vector retrieval, or when you need pure…

Quellsprache: Englisch

optimizing-attention-flash

Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports…

Quellsprache: Englisch

huggingface-tokenizers

Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with…

Quellsprache: Englisch

instructor

Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library

Quellsprache: Englisch

lambda-labs-gpu-cloud

Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.

Quellsprache: Englisch

llava

Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for…

Quellsprache: Englisch