「tia」の検索結果

Geospatial data processing, coordinate transforms, and mapping

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。

Restricts file edits to a specified directory. Pre-tool hooks intercept Edit and Write operations. Trailing-slash matching prevents partial path collisions.

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。

Astronomical computations, coordinate transforms, and celestial data analysis

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。

Run sequential performance benchmarks with strict duration rules and baseline 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。

Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia), Python, and PyTorch. Use when checking component versions, verifying CUDA/driver compatibility, detecting version mismatches across nodes, planning upgrades, documenting cluster configuration, or troubleshooting version-related issues on HyperPod. Triggers on requests about versions, compatibility, component checks, or upgrade planning for HyperPod clusters.

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。

Initializes an AI development session by reading workflow guides, developer identity, git status, active tasks, and project guidelines from .trellis/. Classifies incoming tasks and routes to brainstorm, direct edit, or task workflow. Use when beginning a new coding session, resuming work, starting a new task, or re-establishing project context.

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。

Produce the Part 8 yearly planner: quarterly themes and monthly initiatives. "plan the whole year month by month"

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。

Update CRM pipeline deals with forecast impact, behind a typed approval gate. "move this deal to negotiation"

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。

Map the competitive narrative landscape and score unclaimed positioning gaps. "find us a differentiated position"

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。

Embed C2PA provenance in AI-generated images, video or PDF by script. "add content credentials to this asset"

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。

Oxylabs proxy networks: Residential, Mobile, shared Datacenter/ISP, and Dedicated Datacenter/ISP proxies with geo-targeting, IP rotation, session persistence, and port-based sticky IPs. Use when routing traffic through proxies, building scrapers with proxy auth, rotating or sticky sessions, whitelisting IPs, or accessing geo-restricted content.

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 GSAP skill for GSAP plugins — registration, ScrollToPlugin, ScrollSmoother, Flip, Draggable, Inertia, Observer, SplitText, ScrambleText, SVG and physics plugins, CustomEase, EasePack, CustomWiggle, CustomBounce, GSDevTools. Use when the user asks about a GSAP plugin, scroll-to, flip animations, draggable, SVG drawing, or plugin registration.

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。

Map evidence-based connections between a wellbeing initiative and specific academic learning outcomes. Use when justifying wellbeing programmes, integrating SEL, or linking pastoral and academic 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。

Seven-role depersonalised panel review of framework artefacts (KUD, criterion bank, LT definition, crosswalk, scope-and-sequence) in sequential-isolation mode. Gate rule mean>=88 AND no role<70.

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。

Wrap a learning session in a plan → monitor → reflect cycle. Use at the start of any substantial study session to set goals, mid-session to check strategy, and at session end to consolidate what changed. Builds self-regulated learning as a habit.

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 students' capacity to compare accounts across multiple historical sources — identifying agreements, contradictions, and gaps. Use when students treat individual documents as complete answers rather than partial perspectives.

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。

Analyse text complexity across quantitative, qualitative, and reader-task dimensions with scaffolding recommendations. Use when selecting texts, assessing readability, or planning reading support.

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。

Adapt a historical primary source for classroom use — modifying complexity and length while preserving features for sourcing, close reading, and corroboration. Use when a primary source is too complex for the target age group.

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。

Generates multiple means of engagement, representation, and action/expression for a given learning goal. Produces specific, practical alternatives — not generic options — and recommends the highest-impact single change.

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。

Audits an existing lesson against UDL's three principles — engagement, representation, and action/expression. Identifies specific access barriers and suggests concrete modifications ranked by impact.

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。

Script a multi-turn tutoring dialogue with branching responses for anticipated student difficulties. Use when designing AI tutors, chatbot interactions, or structured one-to-one support scripts.

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。

Design a structured outdoor learning sequence embedding curriculum objectives in an available outdoor space. Use when planning lessons in school grounds, parks, or local natural environments.

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。

Design a service-learning project connecting genuine community need with embedded curriculum learning. Use when planning community projects, civic engagement, or social action units.

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。

Modify a classroom task with language scaffolds that preserve cognitive demand for EAL learners. Use when adapting existing tasks for students at different English proficiency levels.

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。