Opentrons Integration
K-Dense-AI/scientific-agent-skills
Authors, reviews, migrates, simulates, and troubleshoots official Opentrons Python Protocol API v2 protocols for Flex and OT-2 robots.
Lab automation platform for Flex/OT-2 robots. An agent skill from davila7/claude-code-templates.
$ npx skills add davila7/claude-code-templates --skill opentrons-integration -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install davila7/claude-code-templates opentrons-integration --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/opentrons-integration .claude/skills/opentrons-integration && 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 "opentrons-integration" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/opentrons-integration into .claude/skills/opentrons-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "opentrons-integration", 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/opentrons-integrationType 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 opentrons-integration -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install davila7/claude-code-templates opentrons-integration --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/opentrons-integration .agents/skills/opentrons-integration && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "opentrons-integration" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/opentrons-integration into .agents/skills/opentrons-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "opentrons-integration", 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 opentrons-integration -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install davila7/claude-code-templates opentrons-integration --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/opentrons-integration .cursor/skills/opentrons-integration && 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 "opentrons-integration" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/opentrons-integration into .cursor/skills/opentrons-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "opentrons-integration", 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/opentrons-integration--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 opentrons-integration -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install davila7/claude-code-templates opentrons-integration --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/opentrons-integration .gemini/skills/opentrons-integration && 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 "opentrons-integration" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/opentrons-integration into .gemini/skills/opentrons-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "opentrons-integration", 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 opentrons-integrationInstalls 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 opentrons-integration -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/opentrons-integration .github/skills/opentrons-integration && 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 "opentrons-integration" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/opentrons-integration into .github/skills/opentrons-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "opentrons-integration", 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 opentrons-integration -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 opentrons-integration --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/opentrons-integration .opencode/skills/opentrons-integration && 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 "opentrons-integration" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/scientific/opentrons-integration into .opencode/skills/opentrons-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "opentrons-integration", 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.
opentrons-integrationLab automation platform for Flex/OT-2 robots. An agent skill from davila7/claude-code-templates.
Opentrons Integration is an agent skill from davila7/claude-code-templates. Lab automation platform for Flex/OT-2 robots. Write Protocol API v2 protocols, liquid handling, hardware modules (heater-shaker, thermocycler), labware management, for automated pipetting workflows.
Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api_reference.md`, `scripts/basic_protocol_template.py` and `scripts/pcr_setup_template.py`).
The repository describes itself as: CLI tool for configuring and monitoring Claude Code. The licence is MIT.
9 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c0ca7da. 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.
Ships 3 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Opentrons Integration loads about 3.6k tokens when it runs, and up to ~6.9k if it reads all its reference files. Until then it costs about 55 tokens; SKILL.md has 457 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 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); the scripts in this folder are not scanned.
The full file from davila7/claude-code-templates at commit c0ca7da, republished under its MIT licence (© davila7). 457 words, ~3,637 tokens.
.claude/skills/opentrons-integration/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Opentrons is a Python-based lab automation platform for Flex and OT-2 robots. Write Protocol API v2 protocols for liquid handling, control hardware modules (heater-shaker, thermocycler), manage labware, for automated pipetting workflows.
This skill should be used when:
Every Opentrons protocol follows a standard structure:
from opentrons import protocol_api
# Metadata
metadata = {
'protocolName': 'My Protocol',
'author': 'Name <email@example.com>',
'description': 'Protocol description',
'apiLevel': '2.19' # Use latest available API version
}
# Requirements (optional)
requirements = {
'robotType': 'Flex', # or 'OT-2'
'apiLevel': '2.19'
}
# Run function
def run(protocol: protocol_api.ProtocolContext):
# Protocol commands go here
passKey elements:
protocol_api from opentronsmetadata dict with protocolName, author, description, apiLevelrequirements dict for robot type and API versionrun() function receiving ProtocolContext as parameterrun() functionLoading Instruments (Pipettes):
def run(protocol: protocol_api.ProtocolContext):
# Load pipette on specific mount
left_pipette = protocol.load_instrument(
'p1000_single_flex', # Instrument name
'left', # Mount: 'left' or 'right'
tip_racks=[tip_rack] # List of tip rack labware objects
)Common pipette names:
p50_single_flex, p1000_single_flex, p50_multi_flex, p1000_multi_flexp20_single_gen2, p300_single_gen2, p1000_single_gen2, p20_multi_gen2, p300_multi_gen2Loading Labware:
# Load labware directly on deck
plate = protocol.load_labware(
'corning_96_wellplate_360ul_flat', # Labware API name
'D1', # Deck slot (Flex: A1-D3, OT-2: 1-11)
label='Sample Plate' # Optional display label
)
# Load tip rack
tip_rack = protocol.load_labware('opentrons_flex_96_tiprack_1000ul', 'C1')
# Load labware on adapter
adapter = protocol.load_adapter('opentrons_flex_96_tiprack_adapter', 'B1')
tips = adapter.load_labware('opentrons_flex_96_tiprack_200ul')Loading Modules:
# Temperature module
temp_module = protocol.load_module('temperature module gen2', 'D3')
temp_plate = temp_module.load_labware('corning_96_wellplate_360ul_flat')
# Magnetic module
mag_module = protocol.load_module('magnetic module gen2', 'C2')
mag_plate = mag_module.load_labware('nest_96_wellplate_100ul_pcr_full_skirt')
# Heater-Shaker module
hs_module = protocol.load_module('heaterShakerModuleV1', 'D1')
hs_plate = hs_module.load_labware('corning_96_wellplate_360ul_flat')
# Thermocycler module (takes up specific slots automatically)
tc_module = protocol.load_module('thermocyclerModuleV2')
tc_plate = tc_module.load_labware('nest_96_wellplate_100ul_pcr_full_skirt')Basic Operations:
# Pick up tip
pipette.pick_up_tip()
# Aspirate (draw liquid in)
pipette.aspirate(
volume=100, # Volume in µL
location=source['A1'] # Well or location object
)
# Dispense (expel liquid)
pipette.dispense(
volume=100,
location=dest['B1']
)
# Drop tip
pipette.drop_tip()
# Return tip to rack
pipette.return_tip()Complex Operations:
# Transfer (combines pick_up, aspirate, dispense, drop_tip)
pipette.transfer(
volume=100,
source=source_plate['A1'],
dest=dest_plate['B1'],
new_tip='always' # 'always', 'once', or 'never'
)
# Distribute (one source to multiple destinations)
pipette.distribute(
volume=50,
source=reservoir['A1'],
dest=[plate['A1'], plate['A2'], plate['A3']],
new_tip='once'
)
# Consolidate (multiple sources to one destination)
pipette.consolidate(
volume=50,
source=[plate['A1'], plate['A2'], plate['A3']],
dest=reservoir['A1'],
new_tip='once'
)Advanced Techniques:
# Mix (aspirate and dispense in same location)
pipette.mix(
repetitions=3,
volume=50,
location=plate['A1']
)
# Air gap (prevent dripping)
pipette.aspirate(100, source['A1'])
pipette.air_gap(20) # 20µL air gap
pipette.dispense(120, dest['A1'])
# Blow out (expel remaining liquid)
pipette.blow_out(location=dest['A1'].top())
# Touch tip (remove droplets on tip exterior)
pipette.touch_tip(location=plate['A1'])Flow Rate Control:
# Set flow rates (µL/s)
pipette.flow_rate.aspirate = 150
pipette.flow_rate.dispense = 300
pipette.flow_rate.blow_out = 400Well Access Methods:
# By name
well_a1 = plate['A1']
# By index
first_well = plate.wells()[0]
# All wells
all_wells = plate.wells() # Returns list
# By rows
rows = plate.rows() # Returns list of lists
row_a = plate.rows()[0] # All wells in row A
# By columns
columns = plate.columns() # Returns list of lists
column_1 = plate.columns()[0] # All wells in column 1
# Wells by name (dictionary)
wells_dict = plate.wells_by_name() # {'A1': Well, 'A2': Well, ...}Location Methods:
# Top of well (default: 1mm below top)
pipette.aspirate(100, well.top())
pipette.aspirate(100, well.top(z=5)) # 5mm above top
# Bottom of well (default: 1mm above bottom)
pipette.aspirate(100, well.bottom())
pipette.aspirate(100, well.bottom(z=2)) # 2mm above bottom
# Center of well
pipette.aspirate(100, well.center())Temperature Module:
# Set temperature
temp_module.set_temperature(celsius=4)
# Wait for temperature
temp_module.await_temperature(celsius=4)
# Deactivate
temp_module.deactivate()
# Check status
current_temp = temp_module.temperature # Current temperature
target_temp = temp_module.target # Target temperatureMagnetic Module:
# Engage (raise magnets)
mag_module.engage(height_from_base=10) # mm from labware base
# Disengage (lower magnets)
mag_module.disengage()
# Check status
is_engaged = mag_module.status # 'engaged' or 'disengaged'Heater-Shaker Module:
# Set temperature
hs_module.set_target_temperature(celsius=37)
# Wait for temperature
hs_module.wait_for_temperature()
# Set shake speed
hs_module.set_and_wait_for_shake_speed(rpm=500)
# Close labware latch
hs_module.close_labware_latch()
# Open labware latch
hs_module.open_labware_latch()
# Deactivate heater
hs_module.deactivate_heater()
# Deactivate shaker
hs_module.deactivate_shaker()Thermocycler Module:
# Open lid
tc_module.open_lid()
# Close lid
tc_module.close_lid()
# Set lid temperature
tc_module.set_lid_temperature(celsius=105)
# Set block temperature
tc_module.set_block_temperature(
temperature=95,
hold_time_seconds=30,
hold_time_minutes=0.5,
block_max_volume=50 # µL per well
)
# Execute profile (PCR cycling)
profile = [
{'temperature': 95, 'hold_time_seconds': 30},
{'temperature': 57, 'hold_time_seconds': 30},
{'temperature': 72, 'hold_time_seconds': 60}
]
tc_module.execute_profile(
steps=profile,
repetitions=30,
block_max_volume=50
)
# Deactivate
tc_module.deactivate_lid()
tc_module.deactivate_block()Absorbance Plate Reader:
# Initialize and read
result = plate_reader.read(wavelengths=[450, 650])
# Access readings
absorbance_data = result # Dict with wavelength keysDefine Liquids:
# Define liquid types
water = protocol.define_liquid(
name='Water',
description='Ultrapure water',
display_color='#0000FF' # Hex color code
)
sample = protocol.define_liquid(
name='Sample',
description='Cell lysate sample',
display_color='#FF0000'
)Load Liquids into Wells:
# Load liquid into specific wells
reservoir['A1'].load_liquid(liquid=water, volume=50000) # µL
plate['A1'].load_liquid(liquid=sample, volume=100)
# Mark wells as empty
plate['B1'].load_empty()Execution Control:
# Pause protocol
protocol.pause(msg='Replace tip box and resume')
# Delay
protocol.delay(seconds=60)
protocol.delay(minutes=5)
# Comment (appears in logs)
protocol.comment('Starting serial dilution')
# Home robot
protocol.home()Conditional Logic:
# Check if simulating
if protocol.is_simulating():
protocol.comment('Running in simulation mode')
else:
protocol.comment('Running on actual robot')Rail Lights (Flex only):
# Turn lights on
protocol.set_rail_lights(on=True)
# Turn lights off
protocol.set_rail_lights(on=False)When using multi-channel pipettes:
# Load 8-channel pipette
multi_pipette = protocol.load_instrument(
'p300_multi_gen2',
'left',
tip_racks=[tips]
)
# Access entire column with single well reference
multi_pipette.transfer(
volume=100,
source=source_plate['A1'], # Accesses entire column 1
dest=dest_plate['A1'] # Dispenses to entire column 1
)
# Use rows() for row-wise operations
for row in plate.rows():
multi_pipette.transfer(100, reservoir['A1'], row[0])Serial Dilution:
def run(protocol: protocol_api.ProtocolContext):
# Load labware
tips = protocol.load_labware('opentrons_flex_96_tiprack_200ul', 'D1')
reservoir = protocol.load_labware('nest_12_reservoir_15ml', 'D2')
plate = protocol.load_labware('corning_96_wellplate_360ul_flat', 'D3')
# Load pipette
p300 = protocol.load_instrument('p300_single_flex', 'left', tip_racks=[tips])
# Add diluent to all wells except first
p300.transfer(100, reservoir['A1'], plate.rows()[0][1:])
# Serial dilution across row
p300.transfer(
100,
plate.rows()[0][:11], # Source: wells 0-10
plate.rows()[0][1:], # Dest: wells 1-11
mix_after=(3, 50), # Mix 3x with 50µL after dispense
new_tip='always'
)Plate Replication:
def run(protocol: protocol_api.ProtocolContext):
# Load labware
tips = protocol.load_labware('opentrons_flex_96_tiprack_1000ul', 'C1')
source = protocol.load_labware('corning_96_wellplate_360ul_flat', 'D1')
dest = protocol.load_labware('corning_96_wellplate_360ul_flat', 'D2')
# Load pipette
p1000 = protocol.load_instrument('p1000_single_flex', 'left', tip_racks=[tips])
# Transfer from all wells in source to dest
p1000.transfer(
100,
source.wells(),
dest.wells(),
new_tip='always'
)PCR Setup:
def run(protocol: protocol_api.ProtocolContext):
# Load thermocycler
tc_mod = protocol.load_module('thermocyclerModuleV2')
tc_plate = tc_mod.load_labware('nest_96_wellplate_100ul_pcr_full_skirt')
# Load tips and reagents
tips = protocol.load_labware('opentrons_flex_96_tiprack_200ul', 'C1')
reagents = protocol.load_labware('opentrons_24_tuberack_nest_1.5ml_snapcap', 'D1')
# Load pipette
p300 = protocol.load_instrument('p300_single_flex', 'left', tip_racks=[tips])
# Open thermocycler lid
tc_mod.open_lid()
# Distribute master mix
p300.distribute(
20,
reagents['A1'],
tc_plate.wells(),
new_tip='once'
)
# Add samples (example for first 8 wells)
for i, well in enumerate(tc_plate.wells()[:8]):
p300.transfer(5, reagents.wells()[i+1], well, new_tip='always')
# Run PCR
tc_mod.close_lid()
tc_mod.set_lid_temperature(105)
# PCR profile
tc_mod.set_block_temperature(95, hold_time_seconds=180)
profile = [
{'temperature': 95, 'hold_time_seconds': 15},
{'temperature': 60, 'hold_time_seconds': 30},
{'temperature': 72, 'hold_time_seconds': 30}
]
tc_mod.execute_profile(steps=profile, repetitions=35, block_max_volume=25)
tc_mod.set_block_temperature(72, hold_time_minutes=5)
tc_mod.set_block_temperature(4)
tc_mod.deactivate_lid()
tc_mod.open_lid()protocol.comment() for debugging and loggingnew_tip='once' when appropriate to save tipsCommon Issues:
For detailed API documentation, see references/api_reference.md in this skill directory.
For example protocol templates, see scripts/ 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
SKILL.md and 4 other files (scripts, references) in cli-tool/components/skills/scientific/opentrons-integration of davila7/claude-code-templates.
Open the folder on GitHubat commit c0ca7da
We found 14 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.
Opentrons Integration 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 |
|---|---|---|---|---|---|---|
| Opentrons Integration this skilldavila7/claude-code-templates | 33k | 10 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Opentrons IntegrationK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.8k | Automated safety check: Notes | MIT | |
| Robots Meta Conflictthedaviddias/Front-End-Checklist | 74k | — | ~555 | Automated safety check: Pass | MIT | |
| Labhashgraph-online/awesome-codex-plugins | 1.3k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Robot Framework Skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Ginkgo Cloud LabK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.8k | Automated safety check: Pass | MIT |
K-Dense-AI/scientific-agent-skills
Authors, reviews, migrates, simulates, and troubleshoots official Opentrons Python Protocol API v2 protocols for Flex and OT-2 robots.
thedaviddias/Front-End-Checklist
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hashgraph-online/awesome-codex-plugins
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Senior FDA consultant and specialist for medical device companies including HIPAA compliance and requirement management.
Lab automation platform for Flex/OT-2 robots. An agent skill from davila7/claude-code-templates. Opentrons Integration is an agent skill from davila7/claude-code-templates. Lab automation platform for Flex/OT-2 robots.
Run `npx skills add davila7/claude-code-templates --skill opentrons-integration -a claude-code`. Or copy the skill folder (cli-tool/components/skills/scientific/opentrons-integration in davila7/claude-code-templates) into .claude/skills/opentrons-integration in your project. Claude Code loads it when a task matches its description.
Run `npx skills add davila7/claude-code-templates --skill opentrons-integration -a codex`. Or copy the skill folder (cli-tool/components/skills/scientific/opentrons-integration in davila7/claude-code-templates) into .agents/skills/opentrons-integration 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 opentrons-integration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/opentrons-integration, .gemini/skills/opentrons-integration, .github/skills/opentrons-integration and .opencode/skills/opentrons-integration in your project.
Going by SKILL.md and its folder, Opentrons Integration needs Python for the scripts in its folder. Our summary lists: Python 3.
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.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Opentrons Integration is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.6k tokens (SKILL.md is roughly 15k 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 3.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Opentrons Integration: Opentrons Integration (K-Dense-AI/scientific-agent-skills, 48k stars), Robots Meta Conflict (thedaviddias/Front-End-Checklist, 74k stars), Lab (hashgraph-online/awesome-codex-plugins, 1.3k stars) and Robot Framework Skill (sickn33/agentic-awesome-skills, 47k 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 32,512 GitHub stars. The repository holds 479 skills in this directory. The repository was last updated on October 10, 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.