Sponsored by

Find leads on Reddit on auto pilot

Agent skills
huggingface

Topic: huggingface

371 skills in this topic.

V3 Security Overhaul Complete security architecture overhaul for claude-flow v3. Addresses critical CVEs (CVE-1, CVE-2, CVE-3) and implements secure-by-default patterns. Use for security-first v3 implementation.
ruvnet/ruflo 31,446
Verification & Quality Assurance Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
ruvnet/ruflo 31,446
workflow-automation Workflow creation, execution, and template management. Automates complex multi-step processes with agent coordination. Use when: automating processes, creating reusable workflows, orchestrating multi-step tasks. Skip when: simple single-step tasks, ad-hoc operations.
ruvnet/ruflo 31,446
add-model-descriptions Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
ruvnet/ruflo 31,446
greeting-user Explains how to properly greet the user
langchain4j/langchain4j 11,558
greeting-user Explains how to properly greet the user
langchain4j/langchain4j 11,558
test-skill test description
langchain4j/langchain4j 11,558
using-process-tool Describes how to correctly use 'process' tool
langchain4j/langchain4j 11,558
mflux-cli Navigate MFLUX CLI capabilities, locate commands by area, and summarize supported features.
filipstrand/mflux 1,981
mflux-debugging Debug MLX ports by comparing against a PyTorch/diffusers reference via exported tensors/images (export-then-compare).
filipstrand/mflux 1,981
mflux-dev-env Set up and work in the mflux dev environment (arm64 expectation, uv, Makefile targets, lint/format/test).
filipstrand/mflux 1,981
mflux-manual-testing Manually validate mflux CLIs by exercising the changed paths and reviewing output images/artifacts.
filipstrand/mflux 1,981
mflux-model-porting Port ML models into mflux/MLX with correctness-first validation, then refactor toward mflux style.
filipstrand/mflux 1,981
mflux-pr Make a clean PR in mflux (inspect diff, quick verification, commit, push, open PR) using repo conventions.
filipstrand/mflux 1,981
mflux-release Prepare a release in mflux (version bump, changelog, contributors, uv lock) without tagging/publishing. Use when preparing a release branch or release PR.
filipstrand/mflux 1,981
mflux-testing Run tests in mflux (fast/slow/full), preserve image outputs, and handle golden image diffs safely.
filipstrand/mflux 1,981
autoresearch Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.
Orchestra-Research/AI-Research-SKILLs 6,644
implementing-llms-litgpt Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model implementations, educational understanding of architectures, or production fine-tuning with LoRA/QLoRA. Single-file implementations, no abstraction layers.
Orchestra-Research/AI-Research-SKILLs 6,644
mamba-architecture State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design. Mamba-1 (d_state=16) and Mamba-2 (d_state=128, multi-head). Models 130M-2.8B on HuggingFace.
Orchestra-Research/AI-Research-SKILLs 6,644
nanogpt Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding GPT architecture from scratch. Train on Shakespeare (CPU) or OpenWebText (multi-GPU).
Orchestra-Research/AI-Research-SKILLs 6,644
rwkv-architecture RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI project. Production at Windows, Office, NeMo. RWKV-7 (March 2025). Models up to 14B parameters.
Orchestra-Research/AI-Research-SKILLs 6,644
distributed-llm-pretraining-torchtitan Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.
Orchestra-Research/AI-Research-SKILLs 6,644
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 transformers. Use when you need high-performance tokenization or custom tokenizer training.
Orchestra-Research/AI-Research-SKILLs 6,644
sentencepiece Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.
Orchestra-Research/AI-Research-SKILLs 6,644