「sel」の検索結果

Select and confirm an overnight or long-running unattended collaboration topology. Use only for a requested unattended run, not ordinary questions or short 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。

Combine independent work from two or more selected agents into one decision-ready research report, design, or proposal. Preserve useful complementary findings, develop stronger combined options, and present material alternatives only when they exist. Use when multiple perspectives should improve the product without forcing consensus or staging disagreement.

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。

Boot the explicitly selected CLI(s) as the human's concierge: a project-aware side channel that sits ABOVE the running agent system in a shared writable terminal. It answers status questions and handles the human's ad hoc tasking while the working agents collaborate on the mesh — it is not a worker, manager, or gatekeeper, and team progress never waits for it.

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。

Coordinate a requested unattended sprint with two explicitly selected desktop control surfaces and independent gated review. Requires proven re-entry on both and a current-run human opt-in.

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。

Analisa seu histórico recente de chats do Claude Code para identificar padrões de codificação, lacunas no desenvolvimento e áreas para melhoria, seleciona recursos de aprendizagem relevantes do HackerNews e envia automaticamente um relatório de crescimento personalizado para suas DMs do Slack.

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。

Princípios de design de banco de dados e tomada de decisão. Design de schema, estratégia de indexação, seleção de ORM, bancos de dados serverless.

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。

Princípios de design de API e tomada de decisão. Seleção REST vs GraphQL vs tRPC, formatos de resposta, versionamento, paginação.

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。

Arquiteto de banco de dados especializado em design de camada de dados do zero, seleção de tecnologia, modelagem de schemas e arquiteturas de bancos de dados escaláveis.

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。

Banco de dados de embeddings de código aberto para aplicações de IA. Armazene embeddings e metadados, realize buscas vetoriais e full-text, filtre por metadados. API simples com 4 funções. Escala de notebooks para clusters de produção. Use para busca semântica, aplicações RAG ou recuperação de documentos. Melhor para desenvolvimento local e projetos de código aberto.

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。

Método da Anthropic para treinar IA inofensiva através de auto-aprimoramento. Abordagem em duas fases - aprendizado supervisionado com auto-crítica/revisão, depois RLAIF (RL from AI Feedback). Use para alinhamento de segurança, redução de outputs prejudiciais sem rótulos humanos. Alimenta o sistema de segurança do Claude.

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。

Orquestrador principal de construção de aplicações. Cria aplicações full-stack a partir de requisições em linguagem natural. Determina o tipo de projeto, seleciona a tech stack e coordena agentes.

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。

Modelo de espaço de estados com complexidade O(n) versus O(n²) dos Transformers. Inferência 5× mais rápida, sequências de milhão de tokens, sem cache KV. SSM seletivo com design aware de hardware. Mamba-1 (d_state=16) e Mamba-2 (d_state=128, multi-head). Modelos 130M-2.8B no HuggingFace.

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 asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference. Examples: "What GitNexus tools are available?", "How do I use GitNexus?"

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。

Load this skill whenever the project contains interactive UI elements that users touch, tap, click, drag, swipe, or gesture with — buttons, links, drag-and-drop interfaces, sliders, carousels, or custom touch interactions. Under no circumstances create touch targets smaller than 44×44 CSS pixels. Absolutely always provide pointer cancellation, single-pointer alternatives to gestures, and load alongside keyboard/SKILL.md since pointer and keyboard requirements are complementary.

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。

Load this skill whenever the project contains forms, inputs, selects, checkboxes, radio buttons, text areas, or any validation flow. Under no circumstances create a form without visible labels, error identification, and keyboard accessibility. Absolutely always associate every input with a label and provide clear, accessible error messages.

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。

Load this skill for every project containing interactive UI elements — buttons, links, modals, dropdowns, sliders, tabs, carousels, or any custom widget. Under no circumstances create an interactive component that cannot be fully operated by keyboard alone. Absolutely always ensure visible focus indicators, logical tab order, and no keyboard traps. Apply these rules to every interactive element without exception.

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。

Load this skill whenever the project has personalization features, user preference controls, theme selectors, font size adjusters, motion toggles, contrast settings, or any user-configurable accessibility accommodations. Under no circumstances override or ignore user OS-level accessibility preferences without explicit user consent. Absolutely always persist user preferences, apply them immediately, and respect prefers-reduced-motion, prefers-contrast, and similar media queries.

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。

[Architecture] Use when designing solution architecture across backend, frontend, data & consistency, integration & APIs, deployment, monitoring, testing, and code quality. Architecture laws, style-selection triggers, coupling taxonomy, trade-off tables and the anti-pattern catalog live in `.claude/docs/architecture-knowledge.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。

引导用户进行自我认知反思，结构化写入自我反思记录，并与历史模式做跨时间比对。触发词：「反思」「我发现我有个习惯」「我注意到」「我又犯了」「这个模式」「我有个问题」「感觉自己」。

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, fixing, or verifying a pull request. Focus on correctness regressions, missing tests, permission mistakes, unsafe behavior, and minimal fixes.

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 creating Product Hunt launch carousel images for developer tools, AI tools, open-source projects, GitHub launches, or technical products. Research comparable launches, inspect the project, extract verified proof points, then generate 4-5 launch-ready images with consistent branding, product surfaces, readable copy, and source-grounded 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。

Run one safe self-improvement cycle: hypothesize → experiment → record → (maybe) federate.

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。

Maintain stewardship protocol continuity and tool/personality boundaries. Use when a repo agent needs steward-mode threshold checks, self-model update decisions, delegation hygiene, boundary violation review, or handoff-safe continuity context without overclaiming steward personality.

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。

Maintains repo-local action contracts and harness repositories where product CLI and MCP adapters stay thin over core libraries. Use when adopting or improving steward.yaml actions, capability-level adoption evidence, cold-start proof loops, probes, benchmarks, CLI/MCP/core parity, adapter refactors, packages/core boundaries, or sibling harness layout; use repo-quality-system-lifecycle first for general app/library/tool stewardship baselines.

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。