adaptyv

Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

Quality

57%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

Securityby

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./scientific-skills/adaptyv/SKILL.md

Evaluation results

99%

75%

Nanobody Variant Pre-Screening for Experimental Validation

Protein optimization pipeline

Criteria

Without context

With context

uv pip install

87%

NetSolP initial screen

100%

NetSolP threshold

100%

SolubleMPNN optimization

100%

ESM validation

100%

Combined ranking

100%

Cysteine check

60%

100%

pSAE or hydrophobicity check

100%

Multiple variants per sequence

100%

Wild-type control

100%

SoluProt secondary screen

100%

94%

45%

Antibody Library Submission for Binding Assays

Batch experiment submission

Criteria

Without context

With context

uv pip install

100%

ADAPTYV_API_KEY env var

100%

Bearer token header

100%

Correct base URL

100%

FASTA sequence format

100%

POST /experiments endpoint

33%

100%

Webhook URL in payload

80%

100%

Descriptive metadata

50%

100%

Sequence validation

10%

40%

Exponential backoff retry

100%

Batch in single call

100%

No hardcoded API key

100%

38%

Binding Assay Results Analysis and Target Discovery

Results retrieval and target catalog

Criteria

Without context

With context

Results endpoint

100%

Binding KD parsing

42%

100%

Sort by KD ascending

100%

Save results locally

100%

Credits endpoint

100%

List experiments with filter

100%

Target catalog search

37%

100%

Target species filter

100%

Bearer token header

100%

Correct base URL

100%

Quality metrics extracted

12%

100%

Error handling

100%

ADAPTYV_API_KEY env var

100%

Repository: K-Dense-AI/claude-scientific-skills
Commit: b58ad7e

Evaluated: 27 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Nanobody Variant Pre-Screening for Experimental Validation Antibody Library Submission for Binding Assays Binding Assay Results Analysis and Target Discovery

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