「table」の検索結果

Despliega soluciones de IA para insurance claims automation con arquitectura modular, metricas auditables y decisiones alineadas al contexto del dominio.

日本語の概要は準備中です。原文の説明を表示しています。

Adaptive conversion of LaTeX, PDF, or Markdown sources into a complete Word .docx that follows a user-supplied .docx template. Use when pandoc --reference-doc alone is not enough — for thesis, dissertation, report, or institutional Word formatting that needs cover pages, declarations, TOC, heading numbering, captions, three-line tables, equations, citations, and visual verification.

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Integrate current Univer Pro features into browser applications. Use for licensed Sheets, Docs, Slides, Bases, Boards, or PDFs; advanced Sheets presets; collaboration and edit history; Office import/export; printing; pivot tables; charts; sparklines; shapes; Pro workers; license ordering; or Pro Facade APIs.

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Create, check, and read on-chain Sealevel (SVM) Address Lookup Tables (ALTs) for a warp route. Use after deploying, extending, or upgrading an SVM warp route, when transfers fail with transaction-too-large errors, or when asked to inspect or verify a route's ALTs. Fee-enabled SVM transfers bundle 40+ accounts and require ALTs to fit under the 1232-byte tx limit.

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Foundation skill for warp-route updates. Reads the current on-chain config of a warp route via `hyperlane warp read`, enumerates every artifact (router, ProxyAdmin, ISM, hook, fee contracts) per chain, classifies each artifact's owner (auto-detects Safe / ICA / EOA; asks the user for everything else — Turnkey, Privy, MPC, custom multisig, timelock, etc.), and persists a per-artifact owner table that downstream update skills consume to know which signing path each batch needs. Read-only — no signing, no on-chain mutations.

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Implements the Result pattern for explicit error handling without exceptions. Provides Result, Result<T>, and Error types for clean, predictable control flow in domain-driven applications.

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Generates Minimal API endpoints following Microsoft's recommended approach. Creates fast, testable HTTP APIs with minimal code using MapGet/MapPost/MapPut/MapDelete. Preferred over controller-based APIs for new projects.

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Generates Entity Framework Core configurations using Fluent API. Maps domain entities to database tables with proper relationships, constraints, and conventions.

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Implements the Specification pattern for encapsulating query logic. Enables composable, reusable, and testable query criteria with support for includes, ordering, and pagination.

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Generates audit trail infrastructure for entities. Implements IAuditable interface, EF Core SaveChanges interceptor, and automatic population of CreatedAt, UpdatedAt, CreatedBy, and UpdatedBy fields.

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Automates the Karpathy LLM Wiki workflow: turns web, GitHub, and YouTube URLs into well-structured, citable, wikilinked pages with automatic linting and sourcing — invoke with /pin-llm-wiki

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Prepare fundraising financial materials — investor model, data room financial docs, cap table, and use-of-funds narrative. Use when asked to "prepare for Series A", "build our investor model", or "what financials do investors want".

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Build or audit a financial model — 3-statement model (P&L, cash flow, balance sheet), scenario analysis, and sensitivity tables. Use when asked to "build a financial model", "model our growth scenarios", or "what happens to runway if we hire 5 people".

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Build zero-downtime database migrations — forward SQL, rollback SQL, deployment sequence. Use when asked to "write migration", "schema change", "add column", "rename table", "drop column", or "migrate safely".

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B2B proposal generator — takes deal context (ICP, pain, pricing tier, timeline) and produces a complete proposal document with executive summary, problem statement, solution, pricing table, implementation timeline, ROI case, and next steps. Use when asked to "write a proposal", "draft our deck for this deal", "build a proposal for this customer", or "generate a proposal".

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Expert guide for AI image generation (Flux, DALL-E, Stable Diffusion), video generation (Sora, Runway), voice synthesis (ElevenLabs TTS), and speech recognition (Whisper STT) integration / Panduan ahli integrasi AI generasi gambar, video, suara (TTS), dan pengenalan suara (STT).

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Sort, hide, show, reorder, resize, pin, format, and color-code columns in a Datagrok TableView grid via the datagrok_exec tool. Use whenever the user asks to sort by a column (any direction), multi-sort, hide / show / reorder / pin / resize columns, freeze the first N columns, change number-format display, color-code cells (defaults and grid-only tint here; full per-type reference in datagrok-df-and-columns), set row height, or reset the grid back to defaults. Distinct from datagrok-df-and-columns (which owns column-level data metadata like semType, units, friendlyName, and is also where canonical color-coding lives) and from datagrok-viewers (which owns scatter plot / histogram / etc.). Does NOT cover filtering (`datagrok-filtering`), selection (`datagrok-selection`), custom cell renderer authoring (`create-cell-renderer`), saving / restoring layouts, or grid event handlers.

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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`).

日本語の概要は準備中です。原文の説明を表示しています。

Add a viewer, configure a viewer, change viewer options, find viewer, close viewer, view a scatter plot, bar chart, histogram, line chart, box plot, pie chart, heat map, correlation plot, 3D scatter, trellis, density plot, statistics, on a Datagrok TableView via the datagrok_exec tool. Use whenever the user asks to plot, chart, visualize, show a graph, draw a distribution, color by a column, swap a viewer's axis, toggle a legend / regression line / log scale, replace one viewer with another, close every chart, reset the view to just the grid, or find an existing viewer by type. Plugin viewers like "Chem space", "sequence space", "activity cliffs" are NOT viewer types — they're registered functions — route those to `grok.functions.call`. Does NOT cover filtering (separate skill `datagrok-filtering`), selection (`datagrok-selection`), grid cell rendering (`datagrok-grid-customization`), layout save/restore, or custom-viewer authoring.

日本語の概要は準備中です。原文の説明を表示しています。

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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Build a weekly TikTok posting plan from a niche, audience, and content pillars. Produces per-day picks (hook formula, angle, sound, video length, goal, posting time), a hook-batching schedule so you film several openers in one session, a sound shortlist with the trend window, and a completion-rate goal check. Use for a repeatable posting rhythm instead of ad-hoc videos. Not for scripting one hook (use tt-hook-scripter) or one caption (use tt-caption-writer).

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Script the first 1-3 second TikTok hook: the spoken line, the on-screen text, and the opening visual firing at once so the viewer cannot swipe. Picks a 2026 hook formula (cold-open result, pattern interrupt, number reveal, open-loop question, relatable call-out, story) by goal of completion, saves, comments, or shares. The single biggest retention lever on TikTok. Use to script a hook from a video idea. Not for the caption (use tt-caption-writer) or scrubbing a script (use tt-humanizer).

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Choose a layout paradigm (feed, board, table, canvas, master-detail, dashboard) and reuse it across screens. Includes a landing page narrative framework. Use when structuring a screen, page template or landing page.

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Match information density to platform and user type. Use when designing data tables, dashboards or toolbars, or adapting a desktop product for mobile.

日本語の概要は準備中です。原文の説明を表示しています。