「vision」の検索結果

Audits whether a machine-readable regelrecht law model is faithful to the LETTER of the wettekst — and strictly separates the wettekst (leading) from the toelichting (Nota/Memorie van Toelichting; explanatory, not a norm). Runs in critical passes per article/lid and detects four deviation classes: toelichting-bleed (a modeled criterion that the letter only states as an open norm, or not at all), missing verbatim elements (a word/condition such as a "tenzij" or a qualifier dropped from the model), wrong legal_basis anchoring (an endpoint hung on a "kapstok"-article while the operative norm lives elsewhere), and verbatim-drift in text: (an ingetrokken/older redaction). Also detects positief-lid vs uitsluitings-lid conflicts and checks the chapeau for an explicit derogation rule ("zo nodig in afwijking van het eerste lid") before judging precedence. Classifies every finding as modelfout (fix), wettekst-gevolg (report, do not fix), or letter-vs-toelichting-question (jurist decides what is leading + revision signal). Use when the user wants to know if a model is "dicht bij de letter", mentions letter vs toelichting/bedoeling, fidelity, "natuurgetrouw", or before trusting feature outcomes.

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。

Draft or restructure research-paper sections, refine local prose, and audit manuscript-wide consistency. Use for evidence-grounded academic writing and revision, not independent acceptance-risk review or official rebuttal management.

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。

Facilitate sprint planning by organizing backlog items, estimating effort, balancing capacity, identifying dependencies, and producing a sprint commitment summary. Use when teams need structured sprint planning output. Do not use for strategic roadmap planning, annual budgeting, or product vision work.

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。

End-to-end AI website generation pipeline. Claude Opus 4.8 emits Bolt-style <boltArtifact> envelopes (multi-file, plan-first) that customize Vite+React+Tailwind templates from pre-researched business data. Pre-research via APIs, media acquisition, brand extraction, visual inspection via GPT Image 2 vision, R2 upload (per-file content-type by extension), D1 status updates. Supports all business types: SaaS, portfolio, non-profit, restaurant, salon, medical, legal, retail, tech.

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。

Local LLM inference with the Ollama JavaScript client -- chat, streaming, tool calling, vision, embeddings, structured output, model management, and OpenAI-compatible endpoint

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。

Official OpenAI SDK patterns for TypeScript/Node.js — client setup, Chat Completions, Responses API, streaming, structured outputs, function calling, embeddings, vision, audio, and production best practices

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。

Image understanding and document analysis with Claude's multimodal capabilities -- image input formats, PDF processing, multi-image patterns, structured extraction, and token cost estimation

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。

Official Anthropic SDK patterns for TypeScript/Node.js — client setup, Messages API, streaming, tool use, vision, extended thinking, structured outputs, prompt caching, batch API, and production best practices

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。

Official Mistral AI TypeScript SDK patterns — client setup, chat completions, streaming, function calling, structured outputs, embeddings, vision, Codestral FIM, and production best practices

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。

Pulp musical/media time primitives, exact beat divisions, tempo and meter maps, transport-range grid projection, inline and order-preserving groove projection, coordinate randomness, streaming cursors, and quantization arithmetic.

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。

Unity 6 XR development guide. Use when building VR, AR, or MR experiences. Covers XR Interaction Toolkit, XR Plug-in Management, OpenXR, hand tracking, controllers, haptics, AR Foundation (plane detection, anchors, image tracking), and platform-specific setup (Meta Quest, Apple Vision Pro). Based on Unity 6.3 LTS documentation.

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Apply source-aware mechanical-engineering judgment to research, analysis, coding, writing, teaching, research identity, and release work. Use for thermal-fluid systems, heat transfer, fluid mechanics, thermodynamics, HVAC, energy systems, turbomachinery, piping, multiphase flow, experiments, correlations, CFD, reduced-order models, AI/ML, uncertainty, engineering datasets, literature reviews, citations, manuscripts, reviewer revisions, Overleaf packages, figures, proposals, research software, reproducibility, public releases, engineering teaching materials, or a research-project logo and visual identity.

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。

Use OpenClaw Manager (OCM) safely and correctly for OpenClaw environment lifecycle work, runtime installation/builds, release-shaped local builds, upgrades, migration/adoption, cloning existing user state, service supervision, gateway logs, dev worktrees, plugin testing, model/provider smoke tests, TUI/dashboard checks, cleanup, and concise reporting. Use whenever Codex is asked to use OCM, manage OpenClaw envs/runtimes/services, test OpenClaw with OCM, reproduce existing-user or new-user flows, or avoid breaking user state while working with OpenClaw.

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。

Use when a task needs the judgment of a Camera Operator (television, video, or film) — deciding how to physically execute a director/DP's shot on a moving or stabilized platform, reframing live for unpredictable subject movement, protecting a frame for multi-format delivery, or diagnosing why a take got flagged for reshoot.

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。

Use when a task needs the judgment of an Architectural and Civil Drafter — setting up a CAD sheet at the correct scale and viewport scale factor, applying NCS/AIA layer and sheet-numbering standards, dimensioning a wall assembly or site plan per governing convention, managing xrefs and revision clouds across a sheet set, or QC-checking a drawing set before issuance.

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。

Use when a task needs the judgment of a Character/Motion Animator — triaging which shots in a batch get full 12-principles polish versus blocking-only under a tight schedule, choosing pose-to-pose vs. straight-ahead for a shot, writing a rig-limitation workaround memo, or reading a director's revision note as a pose fix vs. a timing fix.

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。

Idiomatic Elixir: functional design, OTP supervision, GenServers, Ecto, and Phoenix patterns. Use when writing, reviewing, or structuring Elixir applications.

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。

Choosing colormaps scientifically — perceptual uniformity, color-vision deficiency, and matching map to data type.

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。

Build multimodal AI apps on Clarifai — model marketplace, pipelines, and computer vision plus language workflows.

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。

Build agents that work toward goals with minimal supervision — goal decomposition, self-correction loops, safe autonomy levels, and long-horizon task management. Use when an agent must run for hours or complete open-ended tasks.

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。

Orchestrate agents at runtime — task routing, scheduling, parallel execution, result aggregation, and supervision dashboards. Use when running agents as a managed fleet rather than one-off calls.

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。

Provision free LLM API keys from 20+ providers. Health-checks existing keys, opens signup pages, validates new keys, and saves them to your project.

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。

Audit a rehabilitation scheduling system -- evaluate therapist productivity and utilization rates, PTA/COTA supervision compliance, patient flow and no-show management, equipment and treatment room allocation, insurance authorization tracking with expiration alerts.

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。

Audit content licensing and rights management systems for territory and window tracking, royalty calculation accuracy, rights clearance workflows, and contract compliance across music, film, television, and digital media..

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。