Estimate small molecule solubility, permeability, and lipophilicity with Boltz using SMILES, a text notation for molecular structures. Process individual molecules or lists, review costs before submission, and receive results mapped to each input.
- Estimate properties for a molecule from its SMILES
- Evaluate a molecule list from a CSV file
- Compare predicted properties during initial screening
openai/plugins☆ 7.5KUpdated Oct 8, 2026
开发运行在Android 11上的C++程序,仿照logcat功能,通过NDK Android Logger API从logd读取日志。
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ECNU-ICALK/AutoSkill☆ 605Updated May 10, 2026
开发运行在Android 11上的C++程序,仿照logcat功能,通过NDK Android Logger API从logd读取日志。
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David-Li0406/meta-skill-evloving☆ 2Updated Jul 14, 2026
Use TensorBoard to visualize training loss and accuracy, compare experiments, and inspect model structure. Guides logging for PyTorch and TensorFlow, including weight distributions and performance profiling to investigate training problems and processing bottlenecks.
- Monitoring training loss and accuracy
- Comparing experiments with different training settings
- Inspecting weight and gradient distributions
Orchestra-Research/AI-Research-SKILLs☆ 13.7KUpdated Oct 11, 2026
Screen an existing compound library against a protein target with Boltz. Rank candidates by binding confidence or lead optimization score, download predicted structures, and review solubility, permeability, and lipophilicity results alongside the ranked hits.
- Screening an existing compound library against a protein
- Finding candidates with high binding confidence
- Comparing candidates for lead optimization
openai/plugins☆ 7.5KUpdated Oct 8, 2026
Use when the user is explicitly working with Quarto, .qmd files, _quarto.yml, Quarto projects, or Quarto features such as callouts, cross-references, citations, Mermaid diagrams, extensions, websites, books, presentations, and reports. Also use for explicit migration from or comparison with R Markdown, bookdown, blogdown, xaringan, distill, or Jupyter notebooks to Quarto. Do not use for general R Markdown or related-format questions unless Quarto or migration to Quarto is explicitly mentioned.
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posit-dev/skills☆ 543Updated Oct 16, 2026
Ordner und Dateiablagen semantisch aufräumen: lokale Regeln und vorhandene Taxonomie erkennen, Dateien inhaltlich zuordnen, zusammengehörige Sets erhalten, klare Vorgänger-/Nachfolgerreihen und Logs archivieren, gemischte gültige und überholte Inhalte per Cut-and-Clue trennen und Löschkandidaten reversibel in einen Prüf-Papierkorb legen. Nutze diesen Skill bei „Ordner aufräumen“, „Dateien sinnvoll einsortieren“, „alte Versionen archivieren“, „Logdateien bereinigen“, „veraltete und gültige Inhalte trennen“ oder wenn beim Aufräumen Geheimnisdateien beziehungsweise Geheimnisse in einer Cloud-Ablage auffallen. Er funktioniert anbieter- und nutzerneutral allein; erkannte kompatible Module oder Dateidienste werden nur als optionale Beschleuniger genutzt. Für bereits vollständig definierte wiederkehrende Sammelregeln stattdessen eine regelbasierte Datei-Automation, für den Umbau einer ganzen Projektarchitektur einen Pipeline-/Projekt-Optimizer verwenden.
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ellmos-ai/skills☆ 8Updated Oct 19, 2026
Use when the user is explicitly working with Quarto, .qmd files, _quarto.yml, Quarto projects, or Quarto features such as callouts, cross-references, citations, Mermaid diagrams, extensions, websites, books, presentations, and reports. Also use for explicit migration from or comparison with R Markdown, bookdown, blogdown, xaringan, distill, or Jupyter notebooks to Quarto. Do not use for general R Markdown or related-format questions unless Quarto or migration to Quarto is explicitly mentioned.
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PovertyAction/ipa-research-data-science-hub☆ 3Updated Oct 19, 2026