Results for “opentrons”

12 skills

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.

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ton-vulnerability-scanner

Scans TON (The Open Network) smart contracts for 3 critical vulnerabilities including integer-as-boolean misuse, fake Jetton contracts, and forward TON without gas checks. Use when auditing FunC contracts.

Scan for OSS tool opportunities from npm gaps, GitHub trends, and developer pain points

Imported skill tektur_ofl from anthropic

OpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting

Builds and trains deep learning models with PyTorch, including tensors, autograd, and neural network modules.

jetson-customize-camera

Enable MIPI/GMSL camera sensors on a Jetson Thor or Orin custom carrier by rendering a kernel-DT overlay from the in-tree sensor DTSI.

Delegate coding to OpenCode CLI (features, PR review).

Launch a fixed-supply V3 token on Robinhood Chain (4663) via PonsLaunchFactory (pons.family), reverse-discover the factory from live PonsLauncherToken tokens, prepare launchToken txs, and verify TokenLaunched receipts. Use when the user says "launch on Pons", "pons.family launch", "PonsLaunchFactory", "launchToken", "PonsLauncherToken", "V3 launch on Robinhood", or wants agents to create a Pons token. Does NOT use RH bonding-curve createToken (rh-bonded-launch), does NOT mint Solana $CLAWD, and does NOT use NOXA Fun factories.

Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.

Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, peptide identification, and quantitative analysis. Apply when working with mass spectrometry data, analyzing proteomics experiments, or processing metabolomics datasets.

Develop, migrate, and debug ROS 1 and ROS 2 robotics projects with support for build systems, navigation, control, simulation, and embedded integration.