'standard' 검색 결과

Query the H2 database created by tika-eval to get counts and comparisons missing from standard reports. Includes connection guidance and SQL examples for comparing extracted text, tracking encoding changes, and joining related file records.

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• Get counts missing from standard reports
• Compare extracted text before and after a change
• Investigate changes in detected encodings

Work through convex optimization problems by checking convexity, putting objectives and constraints into a standard form, and choosing a solver. The skill provides SciPy examples and outlines checks for constraint satisfaction and mathematical conditions used to assess optimality.

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• Checking whether an objective and its constraints are convex
• Putting a maximization problem into standard minimization form
• Choosing a solver for linear, quadratic, or semidefinite problems

Create or update a project's governing development principles, covering code quality, testing, and architectural constraints. Maintain the constitution document, record version changes, and align related planning, specification, and task templates with the revised rules.

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• Establishing development principles at project kickoff
• Documenting quality and testing standards
• Updating principles and tracking version changes

Build research and technical reports with clear summaries, reproducible methods, results, and discussion. Connect conclusions to supporting figures or calculations, apply consistent figure standards, and prepare Markdown, HTML, or PDF deliverables.

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• Structure a research or technical report
• Document methods and parameters for reproducibility
• Check figure readability and links to conclusions

Write and edit Prowler documentation using consistent language and formatting. The skill covers feature guides, tutorials, API references, and release notes, with rules for terminology, headings, inclusive wording, search visibility, and reusable MDX documentation components.

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• Writing Prowler feature documentation
• Standardizing language in tutorials
• Editing API and SDK references

Search NIH Metabolomics Workbench for metabolite structures, study details, and experimental data. Standardize metabolite names with RefMet, find candidate compounds from mass spectrometry measurements, and filter studies by disease, sample source, or analytical method.

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• Finding studies that measure a specific metabolite
• Standardizing metabolite names with RefMet
• Finding compound candidates from mass spectrometry measurements

Use LaminDB to organize biological datasets, search their metadata, and track how analyses produce results. Standardize annotations with biological vocabularies, validate data structures, and record versions and computational history for reproducible research.

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• Standardizing cell type annotations in single-cell data
• Searching datasets across multiple experiments
• Tracing analysis results back to their inputs and code

Create reports, guides, and project documents in Markdown with Mermaid, a text-based diagram format. Use document templates and style guides to explain workflows, relationships, and timelines while keeping text and diagrams editable and suitable for version control.

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• Writing research reports with explanatory diagrams
• Documenting workflows and system relationships
• Preparing project timelines and status reports

Modify command-line options in DOCA applications while preserving standard flags. This skill guides parameter registration, parser lifecycle, JSON configuration, and error diagnosis using the installed SDK and its shipped samples.

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• Add custom flags to a DOCA sample
• Load application settings from a JSON file
• Diagnose argument registration and value errors

Generate Excalidraw diagrams from text content. Supports three output modes - Obsidian (.md), Standard (.excalidraw), and Animated (.excalidraw with animation order). Triggers on "Excalidraw", "画图", "流程图", "思维导图", "可视化", "diagram", "标准Excalidraw", "standard excalidraw", "Excalidraw动画", "动画图", "animate".

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Validate maintainer docs structure, standards freshness, manifest paths, and plan state. Run this after modifying any file under .agents/docs/standards/, .agents/docs/plans/, .agents/docs/architecture/, or AGENTS.md — it catches stale metadata, broken manifest paths, and plan state drift before CI does.

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Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).

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Plan, deploy, operate, and troubleshoot multi-rack (rack scale) deployments of Azure Local — preintegrated racks scaling to hundreds of machines, built on Network Fabric Controller, Cluster Manager, SAN storage, and managed network fabric. Use for the Microsoft.NetworkCloud and Microsoft.ManagedNetworkFabric control plane. NOT for standard 1-16 node Azure Local, and NOT for rack-aware clusters (two racks as availability zones, up to 8 nodes, synchronous replication) — those are standard scale. WHEN: multi-rack, rack scale Azure Local, aggregation rack, compute rack, Network Fabric Controller, NFC, Cluster Manager, network fabric, isolation domain, az networkcloud, az networkfabric, multi-rack logical network, multi-rack Arc VM.

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Targeted metabolomics analysis using MRM/SRM with standard curves. Covers absolute quantification, method validation, and quality assessment. Use when quantifying specific metabolites using calibration curves and internal standards.

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Light and shade a three.js scene: choose materials (MeshStandardMaterial PBR vs unlit MeshBasicMaterial), add ambient/hemisphere/directional/point/spot lights, turn on shadow maps, and use an environment map (IBL) for realistic reflections. Use when a three.js model looks black, flat, or wrong — when the user mentions three.js materials, MeshStandardMaterial, lights, shadows, envMap, or PBR. For renderer/loop setup use threejs-scene-setup; for loading models use threejs-gltf-loading.

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E2E Testing Standards Guide. Use this rule when you need to write or execute E2E tests, including test naming conventions, test workflows, and test behavior templates. This rule should be used for end-to-end integration testing scenarios to ensure test standardization and maintainability. Example: When writing new E2E tests, use this rule to ensure proper test format and workflow compliance.

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Testing standards for LoongCollector: unit tests, e2e tests, benchmarks. Reference when writing or reviewing tests.

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Code review behavioral standards. Reference during code review to ensure consistent quality checks from a QA perspective.

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Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.

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Use when cleaning clinical trial data, preparing data for FDA/EMA submission, standardizing SDTM datasets, handling missing values in clinical studies, detecting outliers in lab results, or converting raw CRF data to CDISC format. Cleans and standardizes clinical trial data fo...

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Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.

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Für NDA Standardbedingungen: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.

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Assemble a submission-ready replication package to the AEA Data and Code Availability Standard (DCAS) / openICPSR / Social Science Reproduction Platform expectations — standard replication README, dataset manifest, computational-requirements capture, a Table/Figure → script:line map, and a confidential-data deposit plan. Use when user says "build the replication package", "prepare the openICPSR deposit", "make the AEA data and code package", "DCAS compliance", "assemble the deposit for the journal", or after a paper is accepted and the journal's data editor needs the package. NOT a numeric verifier — it calls /audit-reproducibility to confirm claims reproduce before packaging.

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Plan, deploy, operate, and troubleshoot multi-rack (rack scale) deployments of Azure Local — preintegrated racks scaling to hundreds of machines, built on Network Fabric Controller, Cluster Manager, SAN storage, and managed network fabric. Use for the Microsoft.NetworkCloud and Microsoft.ManagedNetworkFabric control plane. NOT for standard 1-16 node Azure Local, and NOT for rack-aware clusters (two racks as availability zones, up to 8 nodes, synchronous replication) — those are standard scale. WHEN: multi-rack, rack scale Azure Local, aggregation rack, compute rack, Network Fabric Controller, NFC, Cluster Manager, network fabric, isolation domain, az networkcloud, az networkfabric, multi-rack logical network, multi-rack Arc VM.

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