The application provides 23 bundled Skills. This directory groups them by the work they support. Entries describe the shipped method; they do not claim that every external model, dependency or service is installed.
For methods distributed through the app, use the marketplace installation guide. The directory below helps you choose a research method; it is not a live inventory of marketplace versions.
Check readiness before selecting a method
- Open the Skill in Settings and read its complete requirements and third-party notices.
- Compare the input type with your actual data. A bulk RNA-seq table is not a single-cell AnnData object; a molecular drawing is not a docking result.
- Inspect the selected runtime and packages. For remote work, select a usable Compute Host and inspect its environment before submitting.
- Request one bounded run, inspect the actual output, and retain the input/version references before scaling up.
Two additional manifest entries, self-awareness and skill-creator, are internal framework resources. They are not user-facing directory entries. Personal or imported Skills, including rnaseq-count-qc, are separate from the count of 23.
The three Environment application Skills and Customize stay enabled; see activation rules. Use the bundled manifest to identify shipped methods and Remote compute for host setup and result delivery.
Browse by research task
Protein structure
| Skill | Input | Dependencies and execution | Output to inspect |
|---|
AlphaFold2 · alphafold2 | Protein FASTA; monomer or complex | ColabFold, model weights, GPU; optional public MSA service | Predicted structures and confidence scores |
Boltz · boltz | Protein/DNA/RNA/ligand complex specification | Boltz package, weights, GPU; MSA access where requested | Complex structure and confidence; optional affinity output |
Chai-1 · chai1 | Multi-entity FASTA | chai-lab, weights, GPU | All-atom complex and confidence |
ESMFold2 · esmfold2 | Sequences or complex inputs | Biohub esm package, weights, CUDA; distinct from fair-esm | Structure predictions; ESMC representations where requested |
OpenFold3 · openfold3 | Protein/nucleic-acid/ligand specification | OpenFold3, weights/access, CUDA and configured kernels | Complex structures and scores |
Protein design
| Skill | Input | Dependencies and execution | Output to inspect |
|---|
DiffDock · diffdock | Target PDB plus ligand SMILES/SDF | DiffDock repository, weights and GPU | Ranked ligand poses; pose confidence is not affinity |
ProteinMPNN · proteinmpnn | Backbone PDB, designed/fixed chains and residues | Repository, checkpoints, torch/numpy; small jobs support CPU | Designed sequences and scores |
LigandMPNN · ligandmpnn | Backbone plus ligand/metal/nucleic-acid context | Repository and Python dependencies; small jobs support CPU | Sequences and threaded structures |
SolubleMPNN · solublempnn | Protein backbone | ProteinMPNN repository and soluble checkpoints; CPU possible | Sequences under the soluble-model prior |
Sequence and cells
| Skill | Input | Dependencies and execution | Output to inspect |
|---|
ESM-2 · fair-esm2 | Protein sequences | fair-esm and weights; bundled procedure uses GPU | Embeddings, logits or contact predictions |
Borzoi · borzoi | DNA windows with stated genome/coordinates | borzoi-pytorch, weights and CUDA | Predicted genomic tracks or reference/alternate deltas |
Evo 2 · evo2 | DNA sequences or prefixes | Evo 2 weights, compatible CUDA and sufficient memory | Sequence likelihoods, embeddings or generated DNA |
scGPT · scgpt | Single-cell AnnData with gene vocabulary mapping | scGPT package, checkpoint and GPU | Cell embeddings or annotation outputs |
scvi-tools · scvi-tools | Single-cell counts and batch/label metadata | scvi-tools/scanpy/anndata; bundled training workflow expects GPU | Latent representation, label transfer or model-based comparisons |
Evidence and writing
| Skill | Input | Dependencies and execution | Output to inspect |
|---|
Literature Review · literature-review | Research question, identifiers or papers | Source retrieval; OpenAlex key for OpenAlex operations | Verified evidence synthesis and citations |
Indication Dossier · indication-dossier | An indication framed as a patient population | Research tools and source access | Resumable research waypoints and a dossier |
Environment
| Skill | Input | Dependencies and execution | Output to inspect |
|---|
Environment & Packages · env-management | Missing package or version question | Selected Python/R runtime and allowed package source | Package inspection, managed installation and import check |
Compute Environment Setup · compute-env-setup | Named environment on an SSH/Slurm host | Configured host and user/admin-managed activation | Setup instructions and validation record |
Remote Compute (SSH) · remote-compute-ssh | A workload and eligible Compute Host | SSH credentials, host, scheduler when applicable | Submitted job, harvested results and published artifacts |
Authoring
| Skill | Input | Dependencies and execution | Output to inspect |
|---|
Customize · customize | A requested Skill or Specialist change | Working agent; native customization operations | Saved package or role with read-back verification |
Figure Style · figure-style | Actual data and one final figure | Notebook function and plotting dependencies | Inspected plot with legible labels and faithful data |
Figure Composer · figure-composer | One claim and immutable data-version references | Main Agent, delegation, plotting and review | Multi-panel figure and review iterations |
Paper Narrative · paper-narrative | Manuscript/abstract, captions and ordered figure deck | Grounded artifact versions and review tools | Paper brief and an ordered figure argument |
Implementation reference: manifest.json.