synthetic-sciences/openscience

diffdock

Diffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.

原文の言語: 英語

fireworks-ai-inference

Fast inference and fine-tuning platform with serverless and on-demand GPU deployments. OpenAI-compatible API for chat completions, embeddings, function calling, vision, and structured output. Supports SFT, DPO, and RL fine-tuning. SOC2 + HIPAA compliant.

原文の言語: 英語

together-ai-inference

Serverless inference, fine-tuning, embeddings, image generation, and batch processing on 200+ open-source models via an OpenAI-compatible API. Use when you need fast, cost-effective access to open-source LLMs without managing infrastructure.

原文の言語: 英語

hugging-face-datasets

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.

原文の言語: 英語

generate-image

Generate or edit images using AI models (FLUX, Gemini). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that isn't a technical diagram or schematic. For flowcharts, circuits,…

原文の言語: 英語

hugging-face-cli

Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file…

原文の言語: 英語

langsmith-observability

LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.

原文の言語: 英語

pinecone

Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at…

原文の言語: 英語

sentence-transformers

Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG,…

原文の言語: 英語

transformers

This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image…

原文の言語: 英語

groq-inference

Ultra-fast LLM inference on custom LPU hardware. OpenAI-compatible API at api.groq.com. Lowest latency in the industry (500-1000+ tok/s). Supports chat completions, vision, audio (Whisper STT + TTS), tool calling, JSON mode, and streaming. Free tier…

原文の言語: 英語

hugging-face-model-trainer

This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local…

原文の言語: 英語

weights-and-biases

Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform

原文の言語: 英語

hugging-face-jobs

This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result…

原文の言語: 英語

infographics

[EXPERIMENTAL] Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and…

原文の言語: 英語

scientific-schematics

Create or refine publication-quality technical diagrams, scientific workflows, architectures, and biological schematics with the native image-generation capability.

原文の言語: 英語

scientific-slides

[EXPERIMENTAL] Build slide decks and presentations for research talks using Nano Banana Pro AI. Generates stunning PDF presentations with AI-generated slides. Use for conference presentations, seminar talks, thesis defense slides, or any scientific talk.…

原文の言語: 英語

scientific-writing

Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process: (1) create section outlines with key points using research-lookup, (2) convert to flowing prose. IMRAD structure,…

原文の言語: 英語

givemeanode-agent-compute

Operate GiveMeANode GPU nodes, batch jobs, storage, and rollout sandboxes through its connected MCP server with bounded spend, durable recovery, and explicit approval for paid or destructive actions.

原文の言語: 英語

lambda-gpu-cloud

Safely inspect and operate Lambda Cloud GPU instances through the documented Cloud API and SSH, with explicit approval before billable or destructive actions.

原文の言語: 英語

runpod-gpu-cloud

Safely inspect and operate RunPod resources with runpodctl, live product data, and explicit approval before paid or destructive actions.

原文の言語: 英語

tensorpool-gpu-cloud

Safely inspect and operate TensorPool GPU clusters and jobs using the current tp CLI, with explicit approval before any billable or destructive action.

原文の言語: 英語

vast-ai-gpu-cloud

Safely inspect and operate Vast.ai marketplace instances with the vastai CLI, live offer data, and explicit approval before paid or destructive actions.

原文の言語: 英語

prime-intellect

Safely inspect Prime Intellect identity and plan compute or training workflows using the installed prime CLI and current official documentation.

原文の言語: 英語

modal-serverless-gpu

Run approved CPU or GPU work through OpenScience compute_job on the user's configured Modal account. Use for isolated scientific scripts, dependency provisioning, durable outputs, logs, status, cancellation, and recovery. Never invoke the Modal SDK or CLI…

原文の言語: 英語

ml-paper-writing

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and…

原文の言語: 英語

protein-binder-design

Design and validate de novo protein binders with the current NVIDIA BioNeMo Agent Toolkit workflow, while adapting honestly when NVIDIA-hosted credentials are unavailable.

原文の言語: 英語

literature-review

Answer literature-review requests with a concise, source-grounded narrative by default. Escalate to PRISMA screening, evidence tables, figures, files, or PDFs only when the user explicitly asks for a systematic, scoping, or publication-formatted review.

原文の言語: 英語

goal

Set an explicit objective, success criteria, and stopping conditions for the current OpenScience session.

原文の言語: 英語

conducting-scientific-research

Conduct rigorous, reproducible multi-step scientific work with literature, databases, local files, Python, R, shell, artifacts, reviewers, and approved compute. Use for evidence synthesis, data or statistical analysis, machine learning, simulation, study…

原文の言語: 英語

research-workflows

Execute rigorous planning, review, verification, reproduction, comparison, source-audit, and export workflows using OpenScience session state, artifacts, provenance, and compute. This internal skill backs the corresponding built-in slash commands.

原文の言語: 英語

exploratory-data-analysis

Analyze scientific data files across 200+ formats at the depth the user requests. Detect file type, assess structure, quality, and statistics, and create reports or visualizations only when they are requested or materially needed. Covers chemistry,…

原文の言語: 英語

resume

Resume an exhausted bounded research run from its existing contract and checkpoints. Use when the user invokes /resume or explicitly asks to continue after a runtime-budget boundary.

原文の言語: 英語

venue-templates

Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF,…

原文の言語: 英語

checkpoint

Save a local recovery packet from durable session state. Use when the user invokes /checkpoint, asks to preserve progress, or wants a safe restore point before risky or lengthy work.

原文の言語: 英語

compact

Compact the current chat context into a concise summary. Use when the user invokes /compact, context capacity is running low, or a long session needs a smaller continuation state.

原文の言語: 英語

context

Show the current conversation context composition, estimated capacity, and compaction state. Use when the user invokes /context or asks how much context remains.

原文の言語: 英語

handoff

Create a self-contained continuation packet for another agent. Use when the user invokes /handoff, asks to transfer work, or needs the current context saved before another agent continues.

原文の言語: 英語

init

Create or refresh an AGENTS.md project instruction file. Use when starting work in a repository, onboarding an agent to an unfamiliar codebase, or when the user explicitly invokes /init or asks to initialize project guidance.

原文の言語: 英語

plan

Enter read-only plan mode and produce a decision-ready plan. Use when the user invokes /plan, asks to plan before implementation, or needs choices and tradeoffs resolved before execution.

原文の言語: 英語