「processing」の検索結果

Manage construction contract administration from the field perspective. Covers AIA contract forms (A101, A201, A401), bond types and requirements, mechanics lien law, insurance verification, indemnification, dispute resolution, and subcontractor default procedures. Provides practical field guidance for notice requirements, lien waiver processing, COI verification, and claims documentation. Integrates with pay-application (lien waivers), change-order-tracker (constructive changes), delay-tracker (notice provisions), sub-performance (default triggers), and cost-tracking (back-charges). Triggers: "contract", "contract admin", "AIA", "A201", "A101", "bond", "performance bond", "payment bond", "lien", "lien waiver", "mechanics lien", "insurance", "COI", "certificate of insurance", "OCIP", "CCIP", "indemnification", "dispute", "mediation", "arbitration", "notice", "cure notice", "default", "sub default", "termination for cause", "claims", "ConsensusDocs", "EJCDC".

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。

Regulatory compliance guidelines for life insurance policy administration transactions. Use when processing address changes (state-change impacts), beneficiary changes (community property, ERISA, minors), or any transaction that may trigger compliance review. Covers NAIC model regulations, state-specific rules, OFAC screening, and suitability requirements.

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。

Process vehicle insurance Excel data using Pandas - file handling, data cleaning, merging, validation. Use when processing Excel/CSV files, handling data imports, implementing business rules (negative premiums, zero commissions), debugging data pipelines, or optimizing Pandas performance. Keywords: data_processor.py, Excel, CSV, Pandas, merge, deduplication, date normalization.

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。

Expert guide for file uploads (S3, R2, Supabase Storage), presigned URLs, image/video processing, CDN optimization, and media pipeline architecture / Panduan ahli untuk upload file (S3, R2, Supabase Storage), presigned URL, pemrosesan gambar/video, optimasi CDN, dan arsitektur pipeline media.

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Expert guide for modern web shaders: Three Shading Language (TSL), WebGPU WGSL, Compute Shaders, and WebGL GLSL in Three.js and Babylon.js. Covers procedural generation, compute kernels, and post-processing / Panduan ahli shader web modern: TSL, WGSL, Compute Shader, dan GLSL.

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Expert guide for PDF generation and document processing (React PDF, Puppeteer, jsPDF, pdf-lib) / Panduan ahli generasi PDF dan pemrosesan dokumen (React PDF, Puppeteer, jsPDF, pdf-lib).

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Implements the Outbox pattern for reliable domain event processing. Ensures events are persisted in the same transaction as the aggregate changes and processed asynchronously with guaranteed delivery.

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Generates Domain Events and their handlers following DDD patterns. Implements event raising in entities, MediatR notification handlers, and the Outbox pattern for reliable event processing.

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。

FFmpeg media processing — video/audio conversion, trimming, encoding, filters, streaming. CLI and ffmpeg.wasm patterns.

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 working with the non-metallic engineering materials — polymers, ceramics, or composites — and you need to reason about structure, processing, or properties. Covers thermoplastics versus thermosets, chain structure, glass transition, and viscoelasticity in polymers; ionic and covalent bonding, sintering, brittleness, and Weibull statistics in ceramics; and fiber-reinforced laminates, matrix and reinforcement roles, the rule of mixtures, and anisotropy in composites. Reach for it to choose a plastic, understand why a ceramic fails, or predict the stiffness of a laminate.

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。

Applying motion study and time analysis to household work. Based directly on Lillian Gilbreth's *The Home-Maker and Her Job* and *Cheaper by the Dozen*, this skill covers the therblig-motion catalog, task decomposition, batch processing, parallelism, routine chart design, and the ergonomics of work surfaces. Use when diagnosing why a household is running out of time, designing a weekly routine, teaching task sharing to children, or reducing the friction of any repeated household task.

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。

Security hygiene for GSD's self-modifying skill and agent system. Use this skill whenever: creating, editing, or deleting skill files (.claude/skills/, .claude/commands/), modifying agent definitions (.claude/agents/), working with YAML configuration or chipset files, handling JSONL observation data (.planning/patterns/), processing community-contributed skills or chipsets, any file path operations that could involve user input, or when installing/updating project-claude configuration. Also activates for discussions about skill-creator security, trust models, or content hygiene.

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Load, validate, and use DACP bundles as structured execution context. Detects .bundle/ companion directories, validates integrity (manifest schema, fidelity, provenance), loads typed data, and builds ExecutionContext for receiving agents. Scripts are NEVER auto-executed. Use when processing incoming DACP bundles, interpreting .bundle/ directories alongside .msg files, validating bundle integrity, or building execution context from bundle payloads.

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。

Functions, categories, and information. How mathematical objects relate to each other — morphisms, entropy, signal processing.

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。

Advanced Zephyr RTOS kernel services. Covers inter-thread communication using Zbus (pub/sub), behavioral management with the State Machine Framework (SMF), background processing via work queues, and persistent configuration with the Settings subsystem. Trigger when building modular application architectures, complex state-driven logic, or requiring persistent data storage.

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 e-commerce product catalog generation — turn a folder of raw product photos into clean packshots, product cutouts, Amazon-style dimensions images, lifestyle scenes, and marketplace-ready listing variants for Amazon, Shopify, and Etsy. Powered by Bria.ai's product pipeline. Use when building a product catalog, batch-processing product photos, or creating packshots, cutouts, dimension images, lifestyle shots, or marketplace-compliant listing images at scale.

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。

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

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。

Brain-Computer Interface with colored operad security boundaries. Maximally isolated EEG/neural data processing via VM→Container→Process enclosure with GF(3) conservation for Agent-O-Rama neural pathways.

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。

Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend 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。

Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.

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。

Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.

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。

Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.

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。

Advises on setting up and validating topic models for survey and experimental text. Covers the discovery-versus-measurement question, choosing STM, LDA, or BERTopic, preprocessing consequences, prevalence and content formulas, topic-count selection across coherence, exclusivity and FREX, held-out likelihood, and residuals, validation of topics against human judgment, robustness, and DA-RT-compliant reporting. Use when the user has open-ended responses or another corpus and asks what topics are present, how many topics to use, about STM, searchK, coherence, or FREX, or wants topic prevalence compared across treatment arms or countries. Fixed-codebook coding goes to text-classification.

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。

Advises on setting up and validating topic models for survey and experimental text: discovery vs. measurement, STM/LDA/BERTopic choice, preprocessing, covariate formulas, choosing K across coherence, FREX, held-out likelihood, and residuals, validating topics against human coding, robustness, and reporting. Coding against a fixed codebook goes to text-classification.

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。