Alphafold Database Fetch And Analyze
google-deepmind/science-skills
Retrieve and analyze AlphaFold predicted structures for a protein.
Cloud laboratory platform for automated protein testing and validation.
$ npx skills add davila7/claude-code-templates --skill adaptyv -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install davila7/claude-code-templates 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/davila7/claude-code-templates.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-tool/components/skills/scientific/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/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/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/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/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 davila7/claude-code-templates --skill adaptyv -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install davila7/claude-code-templates adaptyv --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .agents/skills && cp -r skills-src/cli-tool/components/skills/scientific/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/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/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 davila7/claude-code-templates --skill adaptyv -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install davila7/claude-code-templates adaptyv --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/cli-tool/components/skills/scientific/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/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/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/davila7/claude-code-templates.git --path cli-tool/components/skills/scientific/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 davila7/claude-code-templates --skill adaptyv -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install davila7/claude-code-templates adaptyv --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/cli-tool/components/skills/scientific/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/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/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 davila7/claude-code-templates 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 davila7/claude-code-templates --skill adaptyv -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .github/skills && cp -r skills-src/cli-tool/components/skills/scientific/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/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/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 davila7/claude-code-templates --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 davila7/claude-code-templates adaptyv --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/cli-tool/components/skills/scientific/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/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/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.
adaptyvCloud laboratory platform for automated protein testing and validation.
Adaptyv is an agent skill from davila7/claude-code-templates. 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…
Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `reference/api_reference.md`, `reference/examples.md` and `reference/experiments.md`).
It sits in Research & Science, covering Protein structure and design. The repository describes itself as: CLI tool for configuring and monitoring Claude Code. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 46b4d8b. 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:
uvFrom 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:
kq5jp7qj7wdqklhsxmovkzn4l40obksv.lambda-url.eu-central-1.on.awsFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
ADAPTYV_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Adaptyv loads about 923 tokens when it runs. Until then it costs about 137 tokens; SKILL.md has 268 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.
Or create a `.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.
The full file from davila7/claude-code-templates at commit 46b4d8b, republished under its MIT licence (© davila7). 268 words, ~923 tokens.
.claude/skills/adaptyv/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Adaptyv is a cloud laboratory platform that provides automated protein testing and validation services. Submit protein sequences via API or web interface and receive experimental results in approximately 21 days.
Adaptyv requires API authentication. Set up your credentials:
export ADAPTYV_API_KEY="your_api_key_here"Or create a .env file:
ADAPTYV_API_KEY=your_api_key_hereInstall the required package using uv:
uv pip install requests python-dotenvSubmit protein sequences for testing:
import os
import requests
from dotenv import load_dotenv
load_dotenv()
api_key = os.getenv("ADAPTYV_API_KEY")
base_url = "https://kq5jp7qj7wdqklhsxmovkzn4l40obksv.lambda-url.eu-central-1.on.aws"
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
# Submit experiment
response = requests.post(
f"{base_url}/experiments",
headers=headers,
json={
"sequences": ">protein1\nMKVLWALLGLLGAA...",
"experiment_type": "binding",
"webhook_url": "https://your-webhook.com/callback"
}
)
experiment_id = response.json()["experiment_id"]Adaptyv supports multiple assay types:
See reference/experiments.md for detailed information on each experiment type and workflows.
Before submitting sequences, optimize them for better expression and stability:
Common issues to address:
Recommended tools:
See reference/protein_optimization.md for detailed optimization workflows and tool usage.
For complete API documentation including all endpoints, request/response formats, and authentication details, see reference/api_reference.md.
For concrete code examples covering common use cases (experiment submission, status tracking, result retrieval, batch processing), see reference/examples.md.
© davila7, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files in cli-tool/components/skills/scientific/adaptyv of davila7/claude-code-templates.
Open the folder on GitHubat commit 46b4d8b
We found 13 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 9 other GitHub owners. This page covers the copy in davila7/claude-code-templates, which our catalogue first saw on October 7, 2026.
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 skilldavila7/claude-code-templates | 32k | 9 repos | ~923 | Automated safety check: Notes | MIT | |
| Alphafold Database Fetch And Analyzegoogle-deepmind/science-skills | 3.2k | 2 repos | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Alphafoldadaptyvbio/protein-design-skills | 164 | 3 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Pymol VisualizationChatMol/ChatMol | 373 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Complexa Binder DesignNVIDIA-BioNeMo/bionemo-agent-toolkit | 478 | — | ~3.1k | Automated safety check: Notes | Apache-2.0 | |
| Bindcraftadaptyvbio/protein-design-skills | 164 | 3 repos | ~1.3k | Automated safety check: Pass | MIT |
google-deepmind/science-skills
Retrieve and analyze AlphaFold predicted structures for a protein.
adaptyvbio/protein-design-skills
Validate protein designs using AlphaFold2 structure prediction.
ChatMol/ChatMol
Generate publication-quality molecular visualization images using PyMOL.
NVIDIA-BioNeMo/bionemo-agent-toolkit
Run a complete protein binder design campaign with NVIDIA Proteina-Complexa: resolve a target structure and hotspots from a name/sequence/PDB, co-design binder sequence+structure with reward-guided…
adaptyvbio/protein-design-skills
End-to-end binder design using BindCraft hallucination. An agent skill from adaptyvbio/protein-design-skills.
K-Dense-AI/scientific-agent-skills
Predicts how small molecules bind to a protein with DiffDock, covering batch docking, pose ranking by confidence and checks on the results; not for binding affinity.
davila7/claude-code-templates
Runs web-grounded searches through Perplexity's Sonar models over OpenRouter for current events, recent literature and cited facts beyond the model's training cutoff.
davila7/claude-code-templates
Analyzes Neuropixels recordings from SpikeGLX or Open Ephys through preprocessing, drift correction, Kilosort4 spike sorting, quality metrics and curation.
davila7/claude-code-templates
Supplies LaTeX templates and formatting rules for journals, conferences, posters, and grant proposals, then can check a draft against them.
davila7/claude-code-templates
Analyzes a brand's existing writing to lock in a consistent voice, then builds SEO blog posts and platform-specific social content around it.
davila7/claude-code-templates
Guides corrective and preventive action (CAPA) work in a quality management system, from initiation and root cause analysis through effectiveness verification.
davila7/claude-code-templates
Senior FDA consultant and specialist for medical device companies including HIPAA compliance and requirement management.
Categories
Cloud laboratory platform for automated protein testing and validation. Adaptyv is an agent skill from davila7/claude-code-templates. Cloud laboratory platform for automated protein testing and validation.
Adaptyv fits situations like: designing proteins and needing experimental validation including binding assays; expression testing; thermostability measurements; enzyme activity assays.
Run `npx skills add davila7/claude-code-templates --skill adaptyv -a claude-code`. Or copy the skill folder (cli-tool/components/skills/scientific/adaptyv in davila7/claude-code-templates) into .claude/skills/adaptyv in your project. Claude Code loads it when a task matches its description.
Run `npx skills add davila7/claude-code-templates --skill adaptyv -a codex`. Or copy the skill folder (cli-tool/components/skills/scientific/adaptyv in davila7/claude-code-templates) 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 davila7/claude-code-templates --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 credentials named ADAPTYV_API_KEY. Our summary lists: Python 3; A credential in ADAPTYV_API_KEY.
SKILL.md names 1 domain. In commands or code: kq5jp7qj7wdqklhsxmovkzn4l40obksv.lambda-url.eu-central-1.on.aws; the agent is likely to contact it when it follows the instructions. 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 is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 923 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Adaptyv: Alphafold Database Fetch And Analyze (google-deepmind/science-skills, 3.2k stars), Alphafold (adaptyvbio/protein-design-skills, 164 stars), Pymol Visualization (ChatMol/ChatMol, 373 stars) and Complexa Binder Design (NVIDIA-BioNeMo/bionemo-agent-toolkit, 478 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
davila7 (a GitHub user) maintains it in davila7/claude-code-templates, which has 32,483 GitHub stars. The repository holds 478 skills in this directory. The repository was last updated on October 9, 2026.
Source: davila7/claude-code-templates on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.