adaptyv
by K-Dense-AIadaptyv helps you use the Adaptyv Bio Foundry API and Python SDK to install, submit protein sequences, and retrieve assay results. Use this adaptyv skill for API Development, auth setup, request shaping, and practical guidance for binding, screening, thermostability, expression, and fluorescence workflows.
This skill scores 78/100, which means it is a solid but not exceptional listing candidate. Directory users get a clearly triggerable, workflow-oriented skill for Adaptyv Bio Foundry tasks, with enough operational detail to reduce guesswork for API-driven experiment design and results retrieval, though it still has some adoption gaps from missing support files and limited ecosystem signals.
- Strong triggerability: the frontmatter explicitly routes Adaptyv, Foundry API, protein binding/screening assays, and even related code imports to this skill.
- Substantial operational content: the body is long, includes multiple headings and code fences, and describes concrete workflows like experiment submission, assay types, and results retrieval.
- Good install-decision value: it names the base URL, auth pattern, token handling guidance, and the cloud-lab use case, so users can tell what this skill is for quickly.
- Experimental labeling and no install command suggest users should verify workflow fit before relying on it in production.
- No supporting scripts, references, resources, or rules files are present, so some API or SDK details may require manual verification.
Overview of adaptyv skill
What adaptyv does
The adaptyv skill helps you use the Adaptyv Bio Foundry API and Python SDK to design protein experiments, submit sequences, and retrieve assay results. It is most useful when you need API-oriented help for protein characterization workflows such as binding, screening, thermostability, expression, or fluorescence.
Who should use it
Use the adaptyv skill if you are building against Adaptyv from code, wiring up FoundryClient, or trying to turn a sequence list into a valid lab submission. It is a strong fit for API Development teams who want fewer guessing steps than a generic prompt.
What matters before installing
The main value of adaptyv is practical workflow support: authentication, request shape, and result retrieval. The main risk is assuming it is a general protein-design assistant; it is better for submission and API usage than for open-ended biological analysis.
How to Use adaptyv skill
Install and load the skill
Run the adaptyv install path from your skills manager, or use the directory install pattern from the repository: npx skills add K-Dense-AI/claude-scientific-skills --skill adaptyv. After install, start with scientific-skills/adaptyv/SKILL.md, then inspect the rest of the file for request examples and workflow notes.
Prepare the right input for adaptyv usage
Give the skill a concrete task, not just a topic. Good inputs name the assay, the sequence source, the desired output, and the API context. For example: “Use adaptyv to submit 3 protein sequences for binding assay, authenticate from ADAPTYV_API_KEY, and show the Python payload and polling logic.” That is much better than “help me with Adaptyv.”
Read the files that change output quality
For this repository, SKILL.md is the key source. Read the Quick Start, Python SDK, Decorator Pattern, and Client Pattern sections first because they affect how you structure requests and code. If your project already has environment loading or token handling, align the skill output with that repo style instead of copying the examples verbatim.
Practical workflow for API Development
Use adaptyv in three passes: first confirm the assay and the endpoint you need, then draft the request or SDK call, then add authentication, environment loading, and result handling. When the user’s goal is experimental submission, ask for sequence count, assay type, and expected turnaround before generating code.
adaptyv skill FAQ
Is adaptyv only for API Development?
No. It is centered on API Development, but it also helps when you need a clear operational guide for submissions, token handling, and experiment tracking. If you only want general protein science advice, this is probably the wrong skill.
When should I not use adaptyv?
Do not use adaptyv if the task does not involve Adaptyv Bio, the Foundry API, or the Python SDK. It is also a poor fit if the user needs interpretation of experimental biology rather than API calls and workflow setup.
Do beginners need to know the whole repository?
No. Most users can start with the overview and Quick Start, then jump to the specific SDK pattern they need. The adaptyv guide becomes more useful when you already know the assay you want to run.
How to Improve adaptyv skill
Give stronger assay context
Better results come from specifying assay type, number of sequences, and whether you are submitting from Python or shell. adaptyv is more accurate when you say what the API should do, not just what the biology goal is.
State your environment and constraints
Mention whether you have a .env file, what variable name you use for the token, and whether you need a notebook, script, or production service. This reduces back-and-forth and helps the skill tailor auth and client setup.
Ask for the next artifact, not just advice
The best follow-up is usually a concrete deliverable: a minimal request example, a polling loop, a request validation checklist, or a wrapper function. That makes adaptyv for API Development much easier to apply in a real codebase.
Fix the first draft by tightening inputs
If the first output is too generic, add the endpoint, assay, payload fields, and any error you are seeing. For adaptyv, specificity improves both correctness and speed because the skill is built around submission and retrieval workflows, not broad brainstorming.