20 skills found
K-Dense-AI / aeonThis skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search
wanshuiyin / alphaxivQuick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback
Orchestra-Research / huggingface-tokenizersFast 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
Orchestra-Research / llamaguardMeta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, self-harm, criminal planning. 94-95% accuracy. Deploy with vLLM, HuggingFace, Sagemaker. Integrates with NeMo Guardrails.
Jeffallan / prompt-engineerWrites, refactors, and evaluates prompts for LLMs â generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites
SnailSploit / offensive-network-attacksDense description covering ARP spoofing, LLMNR/NBT-NS/mDNS poisoning, DNS poisoning, MITM attacks, VLAN hopping, DHCP attacks, 802.1X/NAC bypass, IPv6 attacks. Tools: Bettercap, Responder, mitm6, Ettercap, Wireshark. MITRE T1557, T1040
brycewang-stanford / ml-causalEconometrics skill for machine learning methods in causal inference. Activates when the user asks about: "causal forest", "generalized random forest", "GRF", "double machine learning", "DML", "debiased machine learning", "LASSO for variable selection", "post-LASSO", "heterogeneous treatment effects"âĻ
brycewang-stanford / markitdownConvert various file formats (PDF, Office documents, images, audio, web content, structured data) to Markdown optimized for LLM processing
brycewang-stanford / causal-mlThis skill covers causal machine learning methods in applied economics and quantitative social science
foryourhealth111-pixel / scientific-schematicsCreate publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type.
foryourhealth111-pixel / gtarsHigh-performance toolkit for genomic interval analysis in Rust with Python bindings
NVIDIA / kermt-embedExtract per-molecule embeddings from any encoder-bearing KERMT checkpoint. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured.
softaworks / gepettoCreates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review
LeoYeAI / ai-image-prompts-skillRecommend curated prompts from a 10,000+ real-world image generation prompt library. Works with ANY AI image model â Nano Banana Pro, Nano Banana 2, Seedream 5.0, GPT Image 1.5, Midjourney, DALL-E 3, Flux, Stable Diffusion, and more.
benchflow-ai / nanogpt-trainingTrain GPT-2 scale models (~124M parameters) efficiently on a single GPU. Covers GPT-124M architecture, tokenized dataset loading (e.g., HuggingFace Hub shards), modern optimizers (Muon, AdamW), mixed precision training, and training loop implementation.
benchflow-ai / trlReference for the TRL (Transformer Reinforcement Learning) library codebase. Use proactively before reading or editing any file under `trl/` so you have the intended contracts and invariants in mind, not just what the current code says.
onvoyage-ai / audit-website-aeoAudits a live website for AI-engine discoverability (AEO/GEO). Crawls the site, runs 16 deterministic checks plus a 6-dimension content evaluation, and produces a scored report (A-F) with prioritized fixes. Use to get a baseline before improve-aeo-geo, or to measure progress after changes.
MoizIbnYousaf / best-practicesTransforms vague prompts into optimized Claude Code prompts. Adds verification, specific context, constraints, and proper phasing. Invoke with /best-practices.
Microck / deepchemMolecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.
tody-agent / cm-dockitKnowledge systematization engine â analyze codebases, generate Personas, JTBD, Process Flows, technical docs, SOP user guides, API references. Output as Markdown or VitePress Premium. SEO-optimized, AI/LLM-readable. One scan = complete knowledge base.
