「process」の検索結果

Expert-level database systems theory covering relational model, query processing and optimization, transaction management, concurrency control, recovery, and NoSQL systems.

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-level polymer chemistry knowledge. Use when working with polymerization mechanisms, polymer structure, molecular weight, mechanical properties, thermal analysis, rubber elasticity, polymer processing, or biopolymers. Also use when the user mentions 'polymerization', 'monomer', 'molecular weight', 'glass transition', 'crystallinity', 'elastomer', 'thermoplastic', 'thermoset', 'chain growth', 'step growth', 'living polymerization', or 'polymer blend'.

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-level composites engineering covering fiber reinforced polymers, matrix materials, laminate theory, manufacturing processes, failure modes, and composite design.

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-level planetary science covering solar system formation, planetary interiors, atmospheres, surface processes, astrobiology, and planetary exploration missions.

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-level volcanology covering volcanic processes, eruption styles, volcano monitoring, volcanic hazards, igneous petrology, and volcanic contributions to climate.

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-level bioinformatics covering sequence analysis, structural bioinformatics, database searching, phylogenetic analysis, NGS data processing, single-cell analysis, and machine learning in biology.

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-level biochemistry from a biology perspective covering metabolic pathways, enzyme kinetics, bioenergetics, signal transduction, and the biochemical basis of cellular processes.

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。

Execute the implementation plan by processing and executing all tasks defined in tasks.md

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。

Execute the implementation plan by processing and executing all tasks defined in tasks.md

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。

Orchestrator for agent-flow. Runs one issue or task through Implementer, Reviewer and QA as separate processes, with mechanical risk classification, a review-round cap and escalation to Needs Me, ending in a PR. Use for /implement <issue> or when asked to take an issue end to end ("have an agent take issue

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 choosing .NET concurrency patterns for async I/O, queues, pipelines, or thread safety. Keywords: async/await, channels, dataflow, Rx, lock contention, producer consumer, parallel 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。

When processing code review feedback (bot or human) before changing anything — triages, verifies and pushes back with technical reasoning — even when the user just says 'fix the comments'.

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 Git — branch naming, commit messages, PR creation, rebasing, or the code review process — even when the user says 'push this' or 'merge the branch' without naming Git.

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 reviewing a DPA as controller or processor against GDPR Art. 28 — GREEN/YELLOW/RED gap frame, never a final call. Triggers on "review this DPA", "check this DPA".

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。

Especialista em BullMQ para filas de jobs com Redis, processamento em background e execução confiável de operações assíncronas em aplicações Node.js/TypeScript. Use quando: bullmq, bull queue, redis queue, background job, job queue.

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。

Guia completo para criar diagramas de software usando sintaxe Mermaid. Use quando usuários precisarem criar, visualizar ou documentar software por meio de diagramas, incluindo diagramas de classe (modelagem de domínio, design orientado a objetos), diagramas de sequência (fluxos de aplicação, interações de API, execução de código), fluxogramas (processos, algoritmos, jornadas do usuário), diagramas de relacionamento de entidades (esquemas de banco de dados), diagramas de arquitetura C4 (contexto do sistema, containers, componentes), diagramas de estado, git graphs, gráficos de pizza, gráficos de Gantt ou qualquer outro tipo de diagrama. Acionadores incluem solicitações para "diagram", "visualize", "model", "map out", "show the flow" ou ao explicar arquitetura de sistema, design de banco de dados, estrutura de código ou fluxos de usuário/aplicação.

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。

Auxilia na redação de conteúdo de alta qualidade através de pesquisa, adição de citações, melhoria de ganchos, iteração em esquemas e feedback em tempo real de cada seção. Transforma seu processo de escrita de esforço solo em parceria colaborativa.

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 quando o usuário solicitar a ativação do Gemini CLI para revisão de código, revisão de plano ou processamento de contexto amplo (>200k). Ideal para análise abrangente exigindo janelas de contexto grandes. Usa Gemini 3 Pro por padrão para raciocínio e codificação de última geração.

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。

Estenda janelas de contexto de modelos transformer usando RoPE, YaRN, ALiBi e técnicas de interpolação de posição. Use ao processar documentos longos (32k-128k+ tokens), estender modelos pré-treinados além dos limites de contexto originais ou implementar codificações posicionais eficientes. Cobre embeddings rotativos, vieses de atenção, métodos de interpolação e estratégias de extrapolação para LLMs.

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。

Especialista em CrewAI - o principal framework multi-agente baseado em papéis utilizado por 60% das empresas da Fortune 500. Abrange design de agentes com papéis e objetivos, definição de tarefas, orquestração de crew, tipos de processo (sequencial, hierárquico, paralelo), sistemas de memória e flows para workflows complexos. Essencial para construir equipes colaborativas de agentes IA. Use quando: crewai, equipe multi-agente, papéis de agentes, crew de agentes, agentes baseados em papéis.

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。

Curação de dados acelerada por GPU para treinamento de LLM. Suporta texto/imagem/vídeo/áudio. Recursos incluem deduplicação fuzzy (16× mais rápida), filtragem de qualidade (30+ heurísticas), deduplicação semântica, redação de PII, detecção NSFW. Escala em GPUs com RAPIDS. Use para preparar datasets de treinamento de alta qualidade, limpar dados web ou deduplicar grandes corpora.

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] Use when the developer wants something explained or taught, or wants to know HOW TO REVIEW a change — by default the current working tasks + changes in context, or whatever the prompt names (a plan, a subsystem, a decision, a concept, a bug). AI derives WHAT to explain from the prompt and ALWAYS delivers a teacher-and-coach review guide, high level first then detail: what was done, a VISUAL MAP (system flowchart, domain ERD, sequence diagrams), the user stories and business rules with their REAL test-case IDs, a REVIEW PATH naming which files to open first and in what order with an exit criterion per stage, the technical concepts needed to follow it, how it works, why THIS solution, every alternative option with pros/cons, the trade-offs accepted, the blast radius, HOW TO TEST AND DEMO the change, the developer's decision levers, and written challenge prompts that provoke the reader to pressure-test the work. Works at ANY scope — from one line of code to the whole project: it SIZES the target into a scope tier, DECOMPOSES a large one into understanding groups, BREAKS the work into tasks before the first deep read, and ACCUMULATES the report group by group on disk so a huge explanation stays complete instead of thinning out. Writes the full report to a single combined markdown file (plans/reports/understand-*.md) that opens with a detailed summary section — or delivers it in full in chat when Step 3 finds no git-ignored directory for it — and always summarizes it in chat. Regardless of coding level. Never interrogates, never quizzes, never blocks.

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] Use when you need to end the active workflow and clear state.

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。

[Document Processing] Use when you need to convert markdown files to PDF with syntax highlighting and custom CSS 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。