MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Generate a Python code skeleton from an experiment blueprint
MITAuto-check passed
Install Nanoresearch Experiment
$ npx skills add OpenRaiser/NanoResearch --skill nanoresearch-experiment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OpenRaiser/NanoResearch nanoresearch-experiment --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/OpenRaiser/NanoResearch.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nanoresearch-experiment .claude/skills/nanoresearch-experiment && 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 "nanoresearch-experiment" agent skill from https://github.com/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-experiment into .claude/skills/nanoresearch-experiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanoresearch-experiment", 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/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-experimentType 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 OpenRaiser/NanoResearch --skill nanoresearch-experiment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OpenRaiser/NanoResearch nanoresearch-experiment --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenRaiser/NanoResearch.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/nanoresearch-experiment .agents/skills/nanoresearch-experiment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nanoresearch-experiment" agent skill from https://github.com/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-experiment into .agents/skills/nanoresearch-experiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanoresearch-experiment", 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 OpenRaiser/NanoResearch --skill nanoresearch-experiment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OpenRaiser/NanoResearch nanoresearch-experiment --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenRaiser/NanoResearch.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/nanoresearch-experiment .cursor/skills/nanoresearch-experiment && 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 "nanoresearch-experiment" agent skill from https://github.com/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-experiment into .cursor/skills/nanoresearch-experiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanoresearch-experiment", 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/OpenRaiser/NanoResearch.git --path skills/nanoresearch-experiment--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 OpenRaiser/NanoResearch --skill nanoresearch-experiment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OpenRaiser/NanoResearch nanoresearch-experiment --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenRaiser/NanoResearch.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/nanoresearch-experiment .gemini/skills/nanoresearch-experiment && 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 "nanoresearch-experiment" agent skill from https://github.com/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-experiment into .gemini/skills/nanoresearch-experiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanoresearch-experiment", 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 OpenRaiser/NanoResearch nanoresearch-experimentInstalls 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 OpenRaiser/NanoResearch --skill nanoresearch-experiment -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OpenRaiser/NanoResearch.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/nanoresearch-experiment .github/skills/nanoresearch-experiment && 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 "nanoresearch-experiment" agent skill from https://github.com/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-experiment into .github/skills/nanoresearch-experiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanoresearch-experiment", 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 OpenRaiser/NanoResearch --skill nanoresearch-experiment -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OpenRaiser/NanoResearch nanoresearch-experiment --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenRaiser/NanoResearch.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/nanoresearch-experiment .opencode/skills/nanoresearch-experiment && 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 "nanoresearch-experiment" agent skill from https://github.com/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-experiment into .opencode/skills/nanoresearch-experiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanoresearch-experiment", 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.
Facts
- Skill name
nanoresearch-experiment- GitHub stars
- 1.3k
- Token cost
- ~423 tokens
- SKILL.md length
- 195 words
- Files
- 1
- Skills in repo
- 4
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generate a Python code skeleton from an experiment blueprint
- Works in 8 steps: Parse the experiment blueprint for… → Generate the project directory structure… → Produce data loading and preprocessing… → …
- SKILL.md covers Purpose, Tools Required, Input and Process, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Nanoresearch Experiment is an agent skill from OpenRaiser/NanoResearch. Generate a Python code skeleton from an experiment blueprint
Its SKILL.md is about 420 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Python. The repository describes itself as: 🦞+🔬 NanoResearch: The Autonomous AI Research Assistant. The licence is MIT.
Example prompts
- “/nanoresearch-experiment”
Requirements
- Python 3
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- Parse the experiment blueprint for datasets, baselines, metrics, and ablation groups
- Generate the project directory structure (data loaders, models, training, evaluation, configs)
- Produce data loading and preprocessing code for each specified dataset
- Implement model architecture stubs for the proposed method and each baseline
- Generate training loop with logging, checkpointing, and early stopping
- Implement the evaluation harness computing all specified metrics
- Create configuration files for each ablation group
- Add a main entry point that accepts a config and runs the full train-evaluate pipeline
What it can do on your machine
Read from SKILL.md and the folder at commit 584fd06. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Nanoresearch Experiment loads about 423 tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 195 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.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
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.
SKILL.md
The full file from OpenRaiser/NanoResearch at commit 584fd06, republished under its MIT licence (© OpenRaiser). 195 words, ~423 tokens.
Download SKILL.mdSave it as
.claude/skills/nanoresearch-experiment/SKILL.md (or your agent's skills folder).- name
- nanoresearch-experiment
- description
- Generate a Python code skeleton from an experiment blueprint
- version
- 0.1.0
Experiment Skill
Purpose
Take the experiment blueprint and produce a runnable Python code skeleton that implements the proposed method, baselines, training loops, evaluation harness, and ablation configurations.
Tools Required
None. This skill operates entirely through LLM code generation based on the experiment blueprint.
Input
experiment_blueprint: Path topapers/experiment_blueprint.jsonproduced by the planning skill
Process
- Parse the experiment blueprint for datasets, baselines, metrics, and ablation groups
- Generate the project directory structure (data loaders, models, training, evaluation, configs)
- Produce data loading and preprocessing code for each specified dataset
- Implement model architecture stubs for the proposed method and each baseline
- Generate training loop with logging, checkpointing, and early stopping
- Implement the evaluation harness computing all specified metrics
- Create configuration files for each ablation group
- Add a main entry point that accepts a config and runs the full train-evaluate pipeline
Output
Produces experiments/ directory containing:
data/: Data loading and preprocessing modulesmodels/: Model architecture implementations (proposed method and baselines)training/: Training loop and optimization utilitiesevaluation/: Metric computation and result aggregationconfigs/: YAML configuration files for each experiment and ablation variantrun.py: Main entry point for launching experimentsrequirements.txt: Python dependencies
© OpenRaiser, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/nanoresearch-experiment of OpenRaiser/NanoResearch.
Open the folder on GitHubat commit 584fd06
Compare with similar skills
Nanoresearch Experiment 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 |
|---|---|---|---|---|---|---|
| Nanoresearch Experiment this skillOpenRaiser/NanoResearch | 1.3k | — | ~423 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 48 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 28k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
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Related
Works with
Questions about Nanoresearch Experiment
What does Nanoresearch Experiment do?
Generate a Python code skeleton from an experiment blueprint. Nanoresearch Experiment is an agent skill from OpenRaiser/NanoResearch.
How do I install Nanoresearch Experiment in Claude Code?
Run `npx skills add OpenRaiser/NanoResearch --skill nanoresearch-experiment -a claude-code`. Or copy the skill folder (skills/nanoresearch-experiment in OpenRaiser/NanoResearch) into .claude/skills/nanoresearch-experiment in your project. Claude Code loads it when a task matches its description.
How do I install Nanoresearch Experiment in Codex?
Run `npx skills add OpenRaiser/NanoResearch --skill nanoresearch-experiment -a codex`. Or copy the skill folder (skills/nanoresearch-experiment in OpenRaiser/NanoResearch) into .agents/skills/nanoresearch-experiment in your project. Codex loads it when a task matches its description.
Can I use Nanoresearch Experiment in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OpenRaiser/NanoResearch --skill nanoresearch-experiment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nanoresearch-experiment, .gemini/skills/nanoresearch-experiment, .github/skills/nanoresearch-experiment and .opencode/skills/nanoresearch-experiment in your project.
What does Nanoresearch Experiment need to run?
SKILL.md names no scripts, command-line tools or credentials: Nanoresearch Experiment is instructions for the agent only. Our summary lists: Python 3.
Does Nanoresearch Experiment access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Nanoresearch Experiment safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Nanoresearch Experiment use?
Nanoresearch Experiment is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Nanoresearch Experiment use?
About 423 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Nanoresearch Experiment?
Skills that share tags, products or a category with Nanoresearch Experiment: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Nanoresearch Experiment?
OpenRaiser (a GitHub organization) maintains it in OpenRaiser/NanoResearch, which has 1,339 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 9, 2026.
Source: OpenRaiser/NanoResearch on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.