Predict Tier-1 ADME/ADMET for small molecules with Boltz from bare SMILES — no target, no docking. Use when the user wants solubility, permeability, or lipophilicity/logD for a molecule or list of molecules. Not for ranking molecules against a protein target (use boltz-small-molecule-screen, which already returns ADME free).
npx skills add https://github.com/openai/plugins --skill boltz-small-molecule-adme
If boltz-api is missing from PATH, use boltz-cli-setup for install/update guidance before retrying.
If a command reports missing or expired authentication, use boltz-cli-setup to start boltz-api auth login --device-code before retrying; do not ask permission first.
If the agent host sandbox blocks boltz-api install/auth/API calls, use boltz-cli-setup to request the host sandbox bypass/escalation needed for user-wide CLI install, browser login, credential storage, temp files, or API access before retrying.
Use this skill for standalone ADME triage on SMILES the user already has. No protein target is involved. If the user is also screening or docking those molecules against a target, prefer boltz-small-molecule-screen — it returns the same ADME block free as part of the screen.
.smi, or .txt into the molecules list. Each entry is {smiles, id?}; the optional id is echoed back as external_id on each result so you can map results to inputs.-b1, -b2), then merge results. Never send more than 128 in one call — the API rejects it with VALIDATION_ERROR: input.molecules must contain at most 128 items.estimate-cost, show the USD cost, wait for explicit confirmation. ADME is priced at $0.01 per molecule (size-independent); estimate-cost returns the authoritative total — always quote it.run to submit and wait — ADME finishes in seconds, so it is synchronous and needs no background polling. run persists results locally under --root-dir/<run-name>/.<output-root>/<run-name>/run.json → output.molecules]. For each molecule show external_id (or smiles), solubility, permeability, and lipophilicity. The three values live under each molecule's adme object. Call out any molecule with status: failed and its error (an object {code, message}, e.g. code adme_enumeration_failed, message Invalid SMILES) — adme is null there; one bad SMILES fails only that molecule, not the batch. Read references/results.md for the output layout and [references/api.md for the payload and batching details.ADME values are approximate estimates for triage and ranking, not absolute measurements.
# Replace placeholders with concrete absolute paths before running.
# Use a short descriptive run name, for example: adme-<library>-v1
boltz-api predictions:adme estimate-cost \
--model adme-v1 --input @yaml:///absolute/path/payload.yaml
# `run` is synchronous (submit + wait + persist) and finishes in seconds — no background mode needed.
# Claude Code: run as a normal Bash command. Codex: run as a foreground shell command; if Codex
# returns a session_id because it is still running, poll it. Do not append "&" or use nohup in Codex.
boltz-api predictions:adme run \
--model adme-v1 \
--idempotency-key "<run-name>" \
--input @yaml:///absolute/path/payload.yaml \
--name "<run-name>" \
--root-dir "/absolute/path/boltz-experiments" \
--poll-interval-seconds 5
# -> /absolute/path/boltz-experiments/<run-name>/run.json (output.molecules[].adme)
Payload is just a molecules list — the API body field name, not the direct CLI flag. --model adme-v1 is required.
references/api.md (molecules, each {smiles, id?}).--model adme-v1 on every estimate-cost, run, and start.run.json outputs when reporting.cd into the run directory; pass the same --root-dir and use absolute paths so later relative paths do not drift.--input @yaml:///absolute/path/payload.yaml or @json:///absolute/path/payload.json. Keep --model, --idempotency-key, and --workspace-id top-level. Never use @file:// or @./.estimate-cost and show the USD total before submitting. ADME is $0.01/molecule (size-independent); estimate-cost returns the authoritative total — always use it.--idempotency-key and --name so re-runs resume via .boltz-run.json.boltz-api. Prefer concrete arguments over sh -c, inline environment assignments, aliases, wrapper scripts, loops, or pipelines unless the user already allowed that exact command form.run is synchronous and finishes in seconds, so unlike the screen/design endpoints it needs no background/non-blocking mode. In Claude Code, run it as a normal Bash call. In Codex, run it as a foreground shell command; if Codex returns a session_id because the command is still running, poll it. Do not append & or use nohup in Codex.boltz-small-molecule-screen.boltz-api predictions:adme run --helpRead references/api.md for the molecules payload shape, the per-molecule output fields, the 128-molecule cap, and error handling.
Read <output-root>/<run-name>/run.json and report output.molecules]. There are no structure files — ADME returns scalar/categorical values only. Read references/results.md for the local layout and per-molecule output fields; [references/api.md has the full request/response schema.
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Query the CELLxGENE Census (61M+ cells) programmatically. Use when you need expression data across tissues, diseases, or cell types from the largest curated single-cell atlas. Best for population-scale queries, reference atlas comparisons. For analyzing your own data use scanpy or scvi-tools.
Take openai/boltz-small-molecule-adme from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.