「stl」の検索結果

Erfasst den konkreten AGB-Auftrag aus Shop, Laden oder Dienstleistung und trennt Verbraucher, Unternehmer und Vertriebswege. Nutzt vorhandene Unterlagen und fragt gezielt nach der gewünschten Interessenlage.

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。

Before heavy deliberation, classify the decision as cheap or costly to undo; decide two-way doors fast and stage one-way doors to preserve options.

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 the user types /hep-storm, mentions @Hephaestus storm, or asks to force-robustly drive a loop-worthy goal (apps, sites, agents, automations, debugging, multi-step research, data/report generation) to a verified finish. Stormbreaker routes the goal to real Agentlas specialists, materializes a dependency-ordered pipeline fabric, and runs a verifier-first loop that does not stall, run away, or claim false success. Trivial questions are answered directly, not stormed.

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。

Converts an arxiv paper into a minimal, citation-anchored Python implementation. Trigger when user runs /paper2code with an arxiv URL or paper ID, says "implement this paper", or pastes an arxiv link asking for implementation. Flags all ambiguities honestly. Never invents implementation details not stated in the paper.

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 a fast, honest competitive scan — the dimension table built from public evidence (sites, docs, pricing pages, changelogs, reviews), the claims-vs-observed discipline, and the so-what synthesis that ends in moves, not a landscape mural. Use when asked what are competitors doing, quick scan of these three rivals, how does our pricing/feature set compare, or prep the competitive slide honestly. Produces the evidence-based comparison table, the marketing-vs-reality flags, the so-what synthesis, and the staleness date.

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Turn one long video, podcast, or stream transcript into 8-12 short-form clips — each with a hook line, cut timestamps, captions, and a platform note for TikTok/Reels/Shorts — plus an honesty gate that kills clips that misrepresent the source. Use when someone says 'clip this podcast', 'make shorts from my video', 'what's clippable here', or runs a clipping side hustle. Produces a ranked clip sheet ready for an editor or a clipping app.

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。

Drive one accepted change through implementation and checks to done, with one fresh review only where a mistake is costly. Use when: selected by name.

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 articulating why an Agricultural Systems (AgSy) result matters — its relevance for farm design, management, decision support, or policy. AgSy values systems analysis that informs a decision, so this is what separates an AgSy paper from a methods demo. It frames implications honestly within the model's scope; it does not over-claim or invent impact.

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Renders Hi-C contact matrices honestly and reproducibly with matplotlib, cooltools, HiCExplorer, pyGenomeTracks, FAN-C, CoolBox, and plotgardener. Covers the raw/ICE-balanced/observed-over-expected transform choice, LogNorm vs symmetric-diverging colormaps with vmax/percentile clipping, resolution-to-feature matching (compartments 100-500kb, TADs 10-40kb, loops 5-10kb), square vs rotated-triangle track-stacking, NaN/white-stripe handling, virtual 4C, APA/saddle/on-diagonal pileups, two-condition side-by-side and log2-ratio maps, and interactive (HiGlass) vs scripted-static publication figures. Use when plotting a contact matrix, choosing a normalization or color scale, building a multi-track Hi-C figure, making a virtual 4C profile, piling up loops/boundaries, or comparing two conditions.

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Infers person-to-person transmission from pathogen genomes using outbreaker2, TransPhylo, phybreak, BadTrIP, SCOTTI, BEASTLIER, and SNP-distance / cluster-picker approaches (HIV-TRACE for HIV; transcluster). Defines outbreak clusters using pathogen-specific SNP thresholds (NOT a universal cutoff -- TB <=12 SNPs; MRSA <=15; C. difficile <=2; Klebsiella <=21), models within-host diversity and transmission bottlenecks, integrates contact-tracing data, distinguishes generation from serial interval, and attributes source via Bayesian source attribution (islandR). Use when investigating outbreaks for who-infected-whom, defining SNP-cluster outbreak definitions, accounting for unsampled intermediates, choosing between outbreaker2 (rich epi data) and TransPhylo (genomic-only after a dated phylogeny), running source attribution between host populations, calling HIV-TRACE thresholds appropriate to the local subtype, or distinguishing recent transmission from reactivation in TB or chronic HIV.

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。

Configure CDNs for content delivery. Set up CloudFront, Cloudflare, and Fastly. Use when optimizing global content delivery.

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 and analyze electrically large antenna structures using MATLAB Antenna Toolbox. Covers reflector antennas (parabolic, Cassegrain, Gregorian, offset, corner, cylindrical, spherical, custom STL), reflectarrays and reconfigurable intelligent surfaces (RIS), antennas installed on platforms (vehicles, aircraft, ships, satellites), and radar cross section (RCS) analysis. Includes solver selection (MoM-PO, PO, MoM, FMM), mesh control, and GPU acceleration. Use when the user wants to design a dish/reflector antenna, reflectarray, analyze an antenna on a platform, or compute RCS.

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。

Sync, validate, and apply App Store metadata and store assets with asc. Use when updating localizations, keywords, App Clip or preview assets, Asset Library media and placements, or migrating legacy fastlane metadata.

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。

Core library: traits, types, logging, math, fiber, allocators, and STL containers.

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。

vstd containers: HashMap, queues, pools, variant, smart pointers, and utilities.

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 posing a sculpt or preparing it for 3D printing in ZBrush: "pose this character", Transpose Master, TPoseMesh, Gizmo posing with masks, ZSphere rig, Proxy Pose, weapon in the hand, stretching after posing, "3D print this", 1/6 scale statue, miniature, resin or FDM, hollowing, wall thickness, drain holes, keys and pins, cutting into parts, 3D Print Hub, Scale Master, Decimation Master, STL or 3MF, size in millimeters.

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 turning images or photos into 3D meshes with Sparc3D models on Scenario via MCP: single-image or multi-view image-to-3D, watertight meshes for game assets, AR/VR, or 3D printing, mesh-only versus PBR-textured output, face count targets, resolution tiers, or reconstructing human heads and busts with the Portrait variants. Keywords: Sparc3D 2.1 and 2.0, Hitem3D, image to 3D, img23d, multiview, watertight, PBR, GLB, OBJ, STL, FBX.

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 generating or handling 3D assets through the Scenario MCP server, including text-to-3D or image-to-3D meshes, GPT-6 Astra 3D or Claude Opus 5.5 3D, GLB, FBX, OBJ, STL, or VOX files, PBR-textured or game-ready models, voxel models, multi-view reconstruction, retexture, remesh, UV unwrap, auto-rigging a biped or quadruped, or retargeting an animation, previewing a mesh in the inline 3D viewer, or downloading a model for import into Unity, Unreal, Godot, or Blender.

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。

Reconstruct a readable parametric ForgeCAD model from an existing CAD or mesh file such as STL, OBJ, 3MF, STEP, or STP.

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。

Analyze a software codebase for algorithmic complexity and performance hotspots, then propose or implement safe optimizations without breaking behavior. Use when Codex is asked to scan many files, find inefficient loops, nested iteration, repeated scans, costly rendering/recomputation, N+1 queries, avoidable O(n^2) or O(n) operations, or reduce complexity such as O(n^2) to O(n log n) / O(n), while preserving tests, APIs, outputs, and maintainability.

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Redesign a learning space using biophilic design principles to improve focus, calm, and wellbeing. Use when classroom environment contributes to restlessness, poor attention, or stress.

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。

This package encapsulate many functions to conduct a differential topology analysis. It focuses on analyzing an 'omic dataset with multiple conditions. While the package is mostly geared toward scRNASeq, it does not place any restriction on the actual input format.

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 an automated App Store screenshot pipeline with UI tests for screenshot capture, device framing, localized caption overlays, and multi-size batch export. Use when user wants automated screenshots, App Store screenshot generation, or a fastlane snapshot replacement.

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。

Generate CI/CD configuration for automated builds, tests, and distribution of iOS/macOS apps. Use when setting up GitHub Actions, Xcode Cloud, or fastlane for continuous integration, TestFlight, or App Store deployment.

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。