Analytical Method Validation Planner
K-Dense-AI/scientific-agent-skills
Plans, runs, and documents analytical method validation, verification, or transfer studies under ICH Q2(R2)/Q14, USP, ICH M10, CLSI EP, or ISO/IEC 17025.
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval.
$ npx skills add BioTender-max/awesome-bio-agent-skills --skill adaptyv -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install BioTender-max/awesome-bio-agent-skills adaptyv --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/kdense/adaptyv .claude/skills/adaptyv && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "adaptyv" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/kdense/adaptyv into .claude/skills/adaptyv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adaptyv", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/kdense/adaptyvType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add BioTender-max/awesome-bio-agent-skills --skill adaptyv -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install BioTender-max/awesome-bio-agent-skills adaptyv --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/kdense/adaptyv .agents/skills/adaptyv && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "adaptyv" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/kdense/adaptyv into .agents/skills/adaptyv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adaptyv", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add BioTender-max/awesome-bio-agent-skills --skill adaptyv -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install BioTender-max/awesome-bio-agent-skills adaptyv --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/kdense/adaptyv .cursor/skills/adaptyv && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "adaptyv" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/kdense/adaptyv into .cursor/skills/adaptyv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adaptyv", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/BioTender-max/awesome-bio-agent-skills.git --path skills/kdense/adaptyv--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add BioTender-max/awesome-bio-agent-skills --skill adaptyv -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install BioTender-max/awesome-bio-agent-skills adaptyv --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/kdense/adaptyv .gemini/skills/adaptyv && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "adaptyv" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/kdense/adaptyv into .gemini/skills/adaptyv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adaptyv", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install BioTender-max/awesome-bio-agent-skills adaptyvInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add BioTender-max/awesome-bio-agent-skills --skill adaptyv -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/kdense/adaptyv .github/skills/adaptyv && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "adaptyv" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/kdense/adaptyv into .github/skills/adaptyv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adaptyv", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add BioTender-max/awesome-bio-agent-skills --skill adaptyv -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install BioTender-max/awesome-bio-agent-skills adaptyv --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/kdense/adaptyv .opencode/skills/adaptyv && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "adaptyv" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/kdense/adaptyv into .opencode/skills/adaptyv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adaptyv", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
adaptyvHow to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval.
Adaptyv is an agent skill from BioTender-max/awesome-bio-agent-skills. How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports adaptyv, adaptyvsdk, or FoundryClient, or references foundry-api-public.adaptyvbio.com.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/api-endpoints.md`).
It sits in Research & Science, covering Experimental design. It works with Python. The repository describes itself as: A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 8cbdd18. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
uvcurlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
foundry-api-public.adaptyvbio.comAlso links to:
foundry.adaptyvbio.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
ADAPTYV_API_KEYFOUNDRY_API_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Adaptyv loads about 1.9k tokens when it runs, and up to ~6.9k if it reads all its reference files. Until then it costs about 122 tokens; SKILL.md has 499 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
nt variable `ADAPTYV_API_KEY` or from a `.env` file — never hardcode tokens. Check for a `.env` file in the project roottore tokens in environment variables or `.env` files — never commit them to source control.nvironment variables** (set in shell or `.env` file):Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 499 words (~1,900 tokens).
“Adaptyv Bio is a cloud lab that turns protein sequences into experimental data. Users submit amino acid sequences via API or UI; Adaptyv's automated lab runs assays (binding, thermostability, expression, fluorescence) and delivers results in ~21 days.”
SKILL.md and 1 other file (references) in skills/kdense/adaptyv of BioTender-max/awesome-bio-agent-skills.
Open the folder on GitHubat commit 8cbdd18
Adaptyv next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Adaptyv this skillBioTender-max/awesome-bio-agent-skills | 199 | — | ~1.9k | Automated safety check: Notes | Custom licence | |
| Analytical Method Validation PlannerK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~4.9k | Automated safety check: Notes | MIT | |
| Light Experiment CodingLight0305/Light-skills | 640 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Analyze StatsAperivue/medsci-skills | 331 | — | ~7k | Automated safety check: Pass | MIT | |
| Calc Sample SizeAperivue/medsci-skills | 331 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Bio Experimental Design Multiple TestingGPTomics/bioSkills | 1.2k | 1 repos | ~3.5k | Automated safety check: Pass | MIT |
K-Dense-AI/scientific-agent-skills
Plans, runs, and documents analytical method validation, verification, or transfer studies under ICH Q2(R2)/Q14, USP, ICH M10, CLSI EP, or ISO/IEC 17025.
Light0305/Light-skills
Builds the code for a frozen research experiment test-first, with leakage controls, seed handling and saved evidence so results can be rerun and audited.
Aperivue/medsci-skills
A skill your agent uses when data needs statistical analysis.
Aperivue/medsci-skills
A skill your agent uses when planning how many patients or cases a study needs before data collection (power analysis, IRB justification).
GPTomics/bioSkills
Controls error rates across thousands of simultaneous tests in genomics discovery using false-discovery-rate methods (Benjamini-Hochberg 1995; Benjamini-Yekutieli 2001 for arbitrary dependence…
aipoch/medical-research-skills
Generate meta-analysis forest plots for binary classification data.
BioTender-max/awesome-bio-agent-skills
Critically review, score, compare, and rank one or more AI scientist outputs for biology, bioinformatics, computational life science, or adjacent research tasks.
BioTender-max/awesome-bio-agent-skills
Web toolkit powered by Exa, tuned for scientific and technical content.
BioTender-max/awesome-bio-agent-skills
Queries JGI Lakehouse (Dremio) for genomics metadata from GOLD, IMG, Mycocosm, Phytozome.
BioTender-max/awesome-bio-agent-skills
Operator toolkit for nf-core/pacsomatic matched tumor-normal workflows from BAM inputs.
BioTender-max/awesome-bio-agent-skills
Assess paper and journal impact using OpenAlex citation counts, optional Altmetric data, and curated journal impact-factor references.
BioTender-max/awesome-bio-agent-skills
Search arXiv preprints through the official arXiv API and turn arXiv IDs into local Markdown summaries.
Works with
Categories
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Adaptyv is an agent skill from BioTender-max/awesome-bio-agent-skills. How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval.
Adaptyv fits situations like: the user mentions Adaptyv; protein binding assays; protein screening experiments; thermostability assays.
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill adaptyv -a claude-code`. Or copy the skill folder (skills/kdense/adaptyv in BioTender-max/awesome-bio-agent-skills) into .claude/skills/adaptyv in your project. Claude Code loads it when a task matches its description.
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill adaptyv -a codex`. Or copy the skill folder (skills/kdense/adaptyv in BioTender-max/awesome-bio-agent-skills) into .agents/skills/adaptyv in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add BioTender-max/awesome-bio-agent-skills --skill adaptyv -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/adaptyv, .gemini/skills/adaptyv, .github/skills/adaptyv and .opencode/skills/adaptyv in your project.
Going by SKILL.md and its folder, Adaptyv needs the command-line tools its instructions call (uv and curl) and credentials named ADAPTYV_API_KEY and FOUNDRY_API_TOKEN. Our summary lists: Python 3; A credential in ADAPTYV_API_KEY; A credential in FOUNDRY_API_TOKEN.
SKILL.md names 2 domains. In commands or code: foundry-api-public.adaptyvbio.com; the agent is likely to contact it when it follows the instructions. As links in the text: foundry.adaptyvbio.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Adaptyv has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Adaptyv: Analytical Method Validation Planner (K-Dense-AI/scientific-agent-skills, 48k stars), Light Experiment Coding (Light0305/Light-skills, 640 stars), Analyze Stats (Aperivue/medsci-skills, 331 stars) and Calc Sample Size (Aperivue/medsci-skills, 331 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
BioTender-max (a GitHub user) maintains it in BioTender-max/awesome-bio-agent-skills, which has 199 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on July 1, 2026.
Source: BioTender-max/awesome-bio-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.