msresearch-dayhoff Skill
Microsoft Research's Dayhoff — generates novel protein sequences and scores variants using hybrid Mamba+Transformer models trained on the 3.34B-sequence Dayhoff Atlas. Use when users mention Dayhoff by name, want to generate protein sequences from scratch or from a prompt, score mutations / variants / fitness without e Published by microsoft in vibe-kit.
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Is this a fit?
Design and media, Research, Includes SKILL.md, Reusable instructions
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Copy skill directory
4 months ago · NOASSERTION license
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What is msresearch-dayhoff Skill?
Microsoft Research's Dayhoff — generates novel protein sequences and scores variants using hybrid Mamba+Transformer models trained on the 3.34B-sequence Dayhoff Atlas. Use when users mention Dayhoff by name, want to generate protein sequences from scratch or from a prompt, score mutations / variants / fitness without e Published by microsoft in vibe-kit. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Design and media
- Research
- Design and media use cases
- Research use cases
Declared skill metadata
- Declared license: MIT
- Source file: skills/msresearch-dayhoff/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use msresearch-dayhoff Skill
- Use it for design and media.
- Use it for research.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/vibe-kit
- Skill file: skills/msresearch-dayhoff/SKILL.md
What it does
Microsoft Research's Dayhoff — generates novel protein sequences and scores variants using hybrid Mamba+Transformer models trained on the 3.34B-sequence Dayhoff Atlas. Use when users mention Dayhoff by name, want to generate protein sequences from scratch or from a prompt, score mutations / variants / fitness without e
Skill instructions
Scope - Run the Dayhoff reference app locally to generate novel protein sequences, score variants, scaffold motifs, and (for some variants) condition on homologous sequences. - Three ways to run the reference app, in increasing order of capability and setup cost: 1. Path A — Cached demo: frontend only (npm run dev), no GPU, no backend. Returns precomputed real Dayhoff outputs for four bundled prompts (Cas9, insulin, DNA polymerase, SARS-CoV-2 spike) across all four model variants. Best for evaluating the UX or demoing on a laptop with no GPU access. 2. Path B — Proxy mode: Flask proxy on :8000 + frontend on :5173, calling a dayhoff-multi Azure ML endpoint. Two terminals, no local model load. Live arbitrary-prompt generation. 3. Path C — Fully local: adds a self-hosted score server on :5001 (and optionally a fold server) running on a CUDA-capable NVIDIA GPU. Three to four terminals. - Hosted models are also published to Hugging Face and Azure AI Foundry — use the proxy in backend/app.py
Verified compatibility and discovery
Frequently asked questions
What is msresearch-dayhoff?
msresearch-dayhoff is a open-source AI agent skill with Copy skill directory. Microsoft Research's Dayhoff — generates novel protein sequences and scores variants using hybrid Mamba+Transformer models trained on the 3.34B-sequence Dayhoff Atlas.
Who is msresearch-dayhoff best for?
msresearch-dayhoff is best for reusing agent instructions, scripts, and references, design and media workflows, research workflows.
How do I install msresearch-dayhoff?
Install or run msresearch-dayhoff using Copy skill directory. Check msresearch-dayhoff for the latest setup command.
Is msresearch-dayhoff actively maintained?
msresearch-dayhoff may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.