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.
Laboratory automation toolkit for controlling liquid handlers, plate readers, pumps, heater shakers, incubators, centrifuges, and analytical equipment.
MITAuto-check passed
Install Pylabrobot
$ npx skills add davila7/claude-code-templates --skill pylabrobot -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install davila7/claude-code-templates pylabrobot --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/pylabrobot .claude/skills/pylabrobot && 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 "pylabrobot" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/pylabrobot into .claude/skills/pylabrobot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pylabrobot", 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/pylabrobotType 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 pylabrobot -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install davila7/claude-code-templates pylabrobot --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/pylabrobot .agents/skills/pylabrobot && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pylabrobot" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/pylabrobot into .agents/skills/pylabrobot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pylabrobot", 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 pylabrobot -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install davila7/claude-code-templates pylabrobot --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/pylabrobot .cursor/skills/pylabrobot && 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 "pylabrobot" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/pylabrobot into .cursor/skills/pylabrobot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pylabrobot", 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/pylabrobot--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 pylabrobot -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install davila7/claude-code-templates pylabrobot --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/pylabrobot .gemini/skills/pylabrobot && 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 "pylabrobot" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/pylabrobot into .gemini/skills/pylabrobot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pylabrobot", 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 pylabrobotInstalls 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 pylabrobot -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/pylabrobot .github/skills/pylabrobot && 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 "pylabrobot" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/pylabrobot into .github/skills/pylabrobot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pylabrobot", 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 pylabrobot -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 pylabrobot --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/pylabrobot .opencode/skills/pylabrobot && 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 "pylabrobot" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/pylabrobot into .opencode/skills/pylabrobot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pylabrobot", 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
pylabrobot- GitHub stars
- 32k
- Used in
- 10 other repos
- Token cost
- ~2.1k tokens
- SKILL.md length
- 710 words
- Files
- 7 (incl. references)
- Skills in repo
- 478
- Repo updated
- First seen
- Licence
- MIT
At a glance
Laboratory automation toolkit for controlling liquid handlers, plate readers, pumps, heater shakers, incubators, centrifuges, and analytical equipment.
- Works in 6 steps: Liquid Handling… → Resource Management… → Hardware Backends… → …
- Automating laboratory workflows
- SKILL.md covers Overview, When to Use This Skill, Core Capabilities and Quick Start, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Pylabrobot is an agent skill from davila7/claude-code-templates. Laboratory automation toolkit for controlling liquid handlers, plate readers, pumps, heater shakers, incubators, centrifuges, and analytical equipment. Use this skill when automating laboratory workflows, programming liquid handling robots (Hamilton STAR, Opentrons OT-2, Tecan EVO), integrating lab equipment, managing deck layouts and resources (plates, tips, containers), reading plates, or creating reproducible laboratory protocols. Applicable for both simulated protocols and physical hardware control.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/analytical-equipment.md`, `references/hardware-backends.md` and `references/liquid-handling.md`).
It works with Python. The repository describes itself as: CLI tool for configuring and monitoring Claude Code. The licence is MIT.
When your agent uses it
- Automating laboratory workflows
- Programming liquid handling robots (Hamilton STAR
- Integrating lab equipment
- Managing deck layouts and resources (plates
Example prompts
- “/pylabrobot”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Liquid Handling (references/liquid-handling.md)
- Resource Management (references/resources.md)
- Hardware Backends (references/hardware-backends.md)
- Analytical Equipment (references/analytical-equipment.md)
- Material Handling (references/material-handling.md)
- Visualization & Simulation (references/visualization.md)
What it can do on your machine
Read from SKILL.md and the folder at commit 46b4d8b. 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 (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
docs.pylabrobot.orggithub.comdiscuss.pylabrobot.orgpypi.org
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
Pylabrobot loads about 2.1k tokens when it runs, and up to ~21k if it reads all its reference files. Until then it costs about 130 tokens; SKILL.md has 710 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 davila7/claude-code-templates at commit 46b4d8b, republished under its MIT licence (© davila7). 710 words, ~2,075 tokens.
Download SKILL.mdSave it as
.claude/skills/pylabrobot/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- pylabrobot
- description
- Laboratory automation toolkit for controlling liquid handlers, plate readers, pumps, heater shakers, incubators, centrifuges, and analytical equipment. Use this skill when automating laboratory workflows, programming liquid handling robots (Hamilton STAR, Opentrons OT-2, Tecan EVO), integrating lab equipment, managing deck layouts and resources (plates, tips, containers), reading plates, or creating reproducible laboratory protocols. Applicable for both simulated protocols and physical hardware control.
PyLabRobot
Overview
PyLabRobot is a hardware-agnostic, pure Python Software Development Kit for automated and autonomous laboratories. Use this skill to control liquid handling robots, plate readers, pumps, heater shakers, incubators, centrifuges, and other laboratory automation equipment through a unified Python interface that works across platforms (Windows, macOS, Linux).
When to Use This Skill
Use this skill when:
- Programming liquid handling robots (Hamilton STAR/STARlet, Opentrons OT-2, Tecan EVO)
- Automating laboratory workflows involving pipetting, sample preparation, or analytical measurements
- Managing deck layouts and laboratory resources (plates, tips, containers, troughs)
- Integrating multiple lab devices (liquid handlers, plate readers, heater shakers, pumps)
- Creating reproducible laboratory protocols with state management
- Simulating protocols before running on physical hardware
- Reading plates using BMG CLARIOstar or other supported plate readers
- Controlling temperature, shaking, centrifugation, or other material handling operations
- Working with laboratory automation in Python
Core Capabilities
PyLabRobot provides comprehensive laboratory automation through six main capability areas, each detailed in the references/ directory:
1. Liquid Handling (references/liquid-handling.md)
Control liquid handling robots for aspirating, dispensing, and transferring liquids. Key operations include:
- Basic Operations: Aspirate, dispense, transfer liquids between wells
- Tip Management: Pick up, drop, and track pipette tips automatically
- Advanced Techniques: Multi-channel pipetting, serial dilutions, plate replication
- Volume Tracking: Automatic tracking of liquid volumes in wells
- Hardware Support: Hamilton STAR/STARlet, Opentrons OT-2, Tecan EVO, and others
2. Resource Management (references/resources.md)
Manage laboratory resources in a hierarchical system:
- Resource Types: Plates, tip racks, troughs, tubes, carriers, and custom labware
- Deck Layout: Assign resources to deck positions with coordinate systems
- State Management: Track tip presence, liquid volumes, and resource states
- Serialization: Save and load deck layouts and states from JSON files
- Resource Discovery: Access wells, tips, and containers through intuitive APIs
3. Hardware Backends (references/hardware-backends.md)
Connect to diverse laboratory equipment through backend abstraction:
- Liquid Handlers: Hamilton STAR (full support), Opentrons OT-2, Tecan EVO
- Simulation: ChatterboxBackend for protocol testing without hardware
- Platform Support: Works on Windows, macOS, Linux, and Raspberry Pi
- Backend Switching: Change robots by swapping backend without rewriting protocols
4. Analytical Equipment (references/analytical-equipment.md)
Integrate plate readers and analytical instruments:
- Plate Readers: BMG CLARIOstar for absorbance, luminescence, fluorescence
- Scales: Mettler Toledo integration for mass measurements
- Integration Patterns: Combine liquid handlers with analytical equipment
- Automated Workflows: Move plates between devices automatically
5. Material Handling (references/material-handling.md)
Control environmental and material handling equipment:
- Heater Shakers: Hamilton HeaterShaker, Inheco ThermoShake
- Incubators: Inheco and Thermo Fisher incubators with temperature control
- Centrifuges: Agilent VSpin with bucket positioning and spin control
- Pumps: Cole Parmer Masterflex for fluid pumping operations
- Temperature Control: Set and monitor temperatures during protocols
Show full SKILL.md (291 more words)Show less
6. Visualization & Simulation (references/visualization.md)
Visualize and simulate laboratory protocols:
- Browser Visualizer: Real-time 3D visualization of deck state
- Simulation Mode: Test protocols without physical hardware
- State Tracking: Monitor tip presence and liquid volumes visually
- Deck Editor: Graphical tool for designing deck layouts
- Protocol Validation: Verify protocols before running on hardware
Quick Start
To get started with PyLabRobot, install the package and initialize a liquid handler:
# Install PyLabRobot
# uv pip install pylabrobot
# Basic liquid handling setup
from pylabrobot.liquid_handling import LiquidHandler
from pylabrobot.liquid_handling.backends import STAR
from pylabrobot.resources import STARLetDeck
# Initialize liquid handler
lh = LiquidHandler(backend=STAR(), deck=STARLetDeck())
await lh.setup()
# Basic operations
await lh.pick_up_tips(tip_rack["A1:H1"])
await lh.aspirate(plate["A1"], vols=100)
await lh.dispense(plate["A2"], vols=100)
await lh.drop_tips()Working with References
This skill organizes detailed information across multiple reference files. Load the relevant reference when:
- Liquid Handling: Writing pipetting protocols, tip management, transfers
- Resources: Defining deck layouts, managing plates/tips, custom labware
- Hardware Backends: Connecting to specific robots, switching platforms
- Analytical Equipment: Integrating plate readers, scales, or analytical devices
- Material Handling: Using heater shakers, incubators, centrifuges, pumps
- Visualization: Simulating protocols, visualizing deck states
All reference files can be found in the references/ directory and contain comprehensive examples, API usage patterns, and best practices.
Best Practices
When creating laboratory automation protocols with PyLabRobot:
- Start with Simulation: Use ChatterboxBackend and the visualizer to test protocols before running on hardware
- Enable Tracking: Turn on tip tracking and volume tracking for accurate state management
- Resource Naming: Use clear, descriptive names for all resources (plates, tip racks, containers)
- State Serialization: Save deck layouts and states to JSON for reproducibility
- Error Handling: Implement proper async error handling for hardware operations
- Temperature Control: Set temperatures early as heating/cooling takes time
- Modular Protocols: Break complex workflows into reusable functions
- Documentation: Reference official docs at https://docs.pylabrobot.org for latest features
Common Workflows
Liquid Transfer Protocol
# Setup
lh = LiquidHandler(backend=STAR(), deck=STARLetDeck())
await lh.setup()
# Define resources
tip_rack = TIP_CAR_480_A00(name="tip_rack")
source_plate = Cos_96_DW_1mL(name="source")
dest_plate = Cos_96_DW_1mL(name="dest")
lh.deck.assign_child_resource(tip_rack, rails=1)
lh.deck.assign_child_resource(source_plate, rails=10)
lh.deck.assign_child_resource(dest_plate, rails=15)
# Transfer protocol
await lh.pick_up_tips(tip_rack["A1:H1"])
await lh.transfer(source_plate["A1:H12"], dest_plate["A1:H12"], vols=100)
await lh.drop_tips()Plate Reading Workflow
# Setup plate reader
from pylabrobot.plate_reading import PlateReader
from pylabrobot.plate_reading.clario_star_backend import CLARIOstarBackend
pr = PlateReader(name="CLARIOstar", backend=CLARIOstarBackend())
await pr.setup()
# Set temperature and read
await pr.set_temperature(37)
await pr.open()
# (manually or robotically load plate)
await pr.close()
data = await pr.read_absorbance(wavelength=450)Additional Resources
- Official Documentation: https://docs.pylabrobot.org
- GitHub Repository: https://github.com/PyLabRobot/pylabrobot
- Community Forum: https://discuss.pylabrobot.org
- PyPI Package: https://pypi.org/project/PyLabRobot/
For detailed usage of specific capabilities, refer to the corresponding reference file in the references/ directory.
© davila7, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (references) in cli-tool/components/skills/scientific/pylabrobot of davila7/claude-code-templates.
- SKILL.md
- references/analytical-equipment.md
- references/hardware-backends.md
- references/liquid-handling.md
- references/material-handling.md
- references/resources.md
- references/visualization.md
Open the folder on GitHubat commit 46b4d8b
Used in 10 other repositories
We found 15 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 10 other GitHub owners. This page covers the copy in davila7/claude-code-templates, which our catalogue first saw on October 7, 2026.
- jimmc414/Kosmoskosmos-claude-scientific-skills/scientific-skills/pylabrobot
- Microck/ordinary-claude-skillsskills_all/pylabrobotskills_categorized/lab-tools/pylabrobot+2 more
- aiskillstore/marketplaceskills/davila7/pylabrobotskills/k-dense-ai/pylabrobot
- lamm-mit/scienceclawskills/pylabrobot
- agent-skills-hub/agent-skills-hubskills/pylabrobot
- LeonChaoX/qinyan-academic-skillsskills/13-实验室自动化与集成/pylabrobot
- wu-yc/LabClawskills/bio/pylabrobot
- FreedomIntelligence/OpenClaw-Medical-Skillsskills/pylabrobot
- BioTender-max/awesome-bio-agent-skillsskills/labclaw/pylabrobotskills/openclaw/pylabrobot
- infometa/workbuddyskillsplugins/codebuddy-plugins-official/external_plugins/scientific-skills/pylabrobot
Compare with similar skills
Pylabrobot 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 |
|---|---|---|---|---|---|---|
| Pylabrobot this skilldavila7/claude-code-templates | 32k | 10 repos | ~2.1k | 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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Works with
Questions about Pylabrobot
What does Pylabrobot do?
Laboratory automation toolkit for controlling liquid handlers, plate readers, pumps, heater shakers, incubators, centrifuges, and analytical equipment. Pylabrobot is an agent skill from davila7/claude-code-templates. Laboratory automation toolkit for controlling liquid handlers, plate readers, pumps, heater shakers, incubators, centrifuges, and analytical equipment.
When should I use Pylabrobot?
Pylabrobot fits situations like: automating laboratory workflows; programming liquid handling robots (Hamilton STAR; integrating lab equipment; managing deck layouts and resources (plates.
How do I install Pylabrobot in Claude Code?
Run `npx skills add davila7/claude-code-templates --skill pylabrobot -a claude-code`. Or copy the skill folder (cli-tool/components/skills/scientific/pylabrobot in davila7/claude-code-templates) into .claude/skills/pylabrobot in your project. Claude Code loads it when a task matches its description.
How do I install Pylabrobot in Codex?
Run `npx skills add davila7/claude-code-templates --skill pylabrobot -a codex`. Or copy the skill folder (cli-tool/components/skills/scientific/pylabrobot in davila7/claude-code-templates) into .agents/skills/pylabrobot in your project. Codex loads it when a task matches its description.
Can I use Pylabrobot 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 davila7/claude-code-templates --skill pylabrobot -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pylabrobot, .gemini/skills/pylabrobot, .github/skills/pylabrobot and .opencode/skills/pylabrobot in your project.
What does Pylabrobot need to run?
SKILL.md names no scripts, command-line tools or credentials: Pylabrobot is instructions for the agent only. Our summary lists: Python 3.
Does Pylabrobot access the network?
SKILL.md names 4 domains. As links in the text: docs.pylabrobot.org, github.com, discuss.pylabrobot.org and pypi.org. This is read from the text; nothing was executed.
Is Pylabrobot 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 Pylabrobot use?
Pylabrobot 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 Pylabrobot use?
About 2.1k tokens (SKILL.md is roughly 8.3k 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 19k tokens, read only when the agent opens those files.
What are the alternatives to Pylabrobot?
Skills that share tags, products or a category with Pylabrobot: 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 Pylabrobot?
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.