查找技能

Write, update, and verify Datagrok help pages (help/, Docusaurus), including GIFs and release updates. Use for user documentation of a platform feature, a GitHub issue, or a Jira ticket, for bringing the help up to date with a release, and for recording or replacing help GIFs.

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Create info panels that appear in the context panel based on semantic types

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Add unit tests to a Datagrok package

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Answer a "how do I …" question about the platform with a Gherkin scenario on @datagrok-libraries/bdd that is filmed into a how-to video (grok-bdd guide), so the answer is demonstrated, sent as a video plus numbered steps, and kept as a regression test; the same scenarios, filmed in help mode, are the GIFs of the help pages

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Add caching to Datagrok functions using meta.cache annotations

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Create a custom view for Datagrok by extending ViewBase

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Create a custom script handler for an unsupported scripting language

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Create a Datagrok Compute2 workflow (pipeline configuration with steps, links, and actions)

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Guide for logging errors, warnings, and info messages in Datagrok packages

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Implement an interactive scientific Datagrok application from an approved spec.md

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Set up and manage package and connection credentials securely

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Prepare a Datagrok package so that Claude (or any coding agent) can work on it effectively from a naive prompt

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Add a new single-objective optimization algorithm to the sci-comp library. Use when the user asks to implement a new optimizer (e.g. gradient descent, BFGS, simulated annealing, differential evolution).

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Create a Diff Studio demo model TS file and register it in the package, using equations from an IVP file

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Create a Diff Studio demo model TS file and register it in the package, using equations from an IVP file. Use this skill when the user wants to create a demo model from an IVP file, mentions "demo model", "IVP file", "Diff Studio demo", or asks to convert an .ivp file into a demo.

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Create tests for Diff Studio demo models

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Cheminformatics toolkit catalog for small molecules. Covers RDKit/OpenChemLib calculations, descriptors, fingerprints, similarity/substructure search, R-group, MMP, scaffold tree, chemical space, MPO, reactions, and ADMET predictions. Open this skill when the user asks about computing molecular properties, comparing/searching molecules, or predicting ADMET/tox.

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Find, describe, add, remove, rename, clone, or set metadata on columns of a Datagrok DataFrame via the datagrok_exec tool. Use whenever the user asks to locate "the X column", summarize a column, add a typed/empty/values-filled/virtual column, set semantic type / units / format / friendly name, apply linear or categorical or conditional color coding, drop or rename columns, or copy a DataFrame. Covers everything in DataFrame.columns and Column.meta — but not row filtering/selection (datagrok-filtering, datagrok-selection) and not formula-only columns (datagrok-calc-column).

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Filter rows of a Datagrok DataFrame via the datagrok_exec tool through the Filters panel — by range, equals/contains/in-set, multi-value, boolean, free-text row expressions, or substructure (SMILES / SMARTS / molblock). Also covers clearing, inverting, the show-only-filtered vs destructive-drop split, and the filter event lifecycle (onRowsFiltering / onFilterChanged / onRowsFiltered). Use whenever the user says "filter", "show only", "hide rows where", "narrow to subset", "find rows that", "contains", "substructure search", "categorical filter", "range filter", "invert", "clear the filter", "clear filters", "drop rows", or asks for the filtered subset as a new table. Does NOT cover selection (separate skill) or generic DataFrame cloning (datagrok-df-and-columns).

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Save, publish, create, attach to, or share a Datagrok project, including turning data sync on. The save and share flows drive the platform dialogs through their AI functions.

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Manipulate row selection (`df.selection`) on a Datagrok DataFrame via the datagrok_exec tool — set, clear, invert, add to, remove from, intersect, and read the selection mask. Also covers current row (`df.currentRowIdx`), the cross-skill bridges to/from the filter, and how to materialize the selected rows as a new DataFrame. Use whenever the user says "select rows", "deselect", "invert selection", "highlight rows", "selected rows", "clear selection", "current row", "currentRowIdx", "count selected", "list selected indexes", "selection from filter", "filter from selection", or asks for selected rows as a new table. Does NOT cover row filtering (separate skill `datagrok-filtering`) or generic DataFrame cloning (`datagrok-df-and-columns`).

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Create a custom filter for Datagrok by extending DG.Filter

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Add a Docker container to a Datagrok package with Dockerfile and config

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Create a custom file viewer for the Datagrok file share browser

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