「fan」の検索結果

Use when coordinating multiple AI agents with Agent Relay's workflow engine and need to pick the right orchestration pattern - covers the 10 core patterns (fan-out, pipeline, hub-spoke, consensus, mesh, handoff, cascade, dag, debate, hierarchical) plus 14 specialized ones, with decision framework and accurate SDK/YAML examples.

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。

A stack of cards springs and fans into place on view — a lively hero for a small set (3–5). One set per view. Shown flat/instant under prefers-reduced-motion.

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。

Write professional, empathetic responses to App Store reviews that build trust and turn critics into fans. Use when responding to negative reviews, drafting templates for common review types, or improving review management strategy.

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 knowledge for Azure Container Storage development including troubleshooting, decision making, limits & quotas, security, and configuration. Use when configuring Elastic SAN-backed pools, CMK encryption, LRS/ZRS redundancy, volume resizing, or Prometheus/Grafana monitoring, and other Azure Container Storage related development tasks. Not for Azure Blob Storage (use azure-blob-storage), Azure Files (use azure-files), Azure Elastic SAN (use azure-elastic-san), Azure NetApp Files (use azure-netapp-files).

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。

Reusable approval-loop pattern for fanning out lead personalization across parallel Claude Code Task sub-agents. Shows the user 1 sample personalization, collects feedback, runs 10 more, approves, runs 10 more — stops when 2 consecutive rounds have zero edits, then scales to the full list. ALWAYS uses Claude Code Task tool sub-agents — never an external Anthropic/OpenAI API key. Use when any skill needs per-lead custom variables (situation lines, value lines, CTAs).

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。

Parallelize independent sub-jobs across fresh-context subagents instead of one bloated context. Use when a goal branches into many independent pieces.

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。

Find low-follower viral posts on X/Twitter for account-growth topic selection. Use when the user asks for X low-fan hits, Twitter low follower viral posts, 起号选题 from X, niche tweet inspiration, or viral posts ranked by author followers, views, bookmarks, likes, reposts, and replies.

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。

Find low-follower viral Bilibili videos for account-growth topic selection. Use when the user asks for B站低粉爆款, Bilibili low-fan hits, 起号选题 from B站, niche Bilibili references, or videos ranked by UP主粉丝数, 播放, 点赞, 投币, 收藏, 分享, 评论, 弹幕, and 播放粉丝比.

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。

Dung khi mot CA NHAN can viet BAI DAI de xay uy tin, khong phai copy ban hang — 3 cau truc chuan cho thi truong VN gom PAS-Insight cho founder, Story-Lesson-CTA cho coach, Hook-List-Reveal cho creator; 6 cong thuc hook long-form; ky thuat nhip cau; do dai theo nen tang LinkedIn, Facebook, newsletter; ma tran tai su dung 1:5. Kich hoat khi user nhac 'viet bai LinkedIn', 'thought leadership', 'long form post', 'newsletter ca nhan', 'viet bai chuyen sau', 'khong biet viet gi tren trang ca nhan', 'muon duoc coi la chuyen gia'. Khong dung cho — copy quang cao tra tien thi dung skill 05-copy-quang-cao; caption ngan cho fanpage doanh nghiep thi dung skill 37-caption-social; kich ban video ngan thi dung skill 04-script-video.

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。

Dung khi can biet doi thu dang lam gi va minh dang dung o dau — phan tich 3 tang doi thu truc tiep, gian tiep, thay the; ban do dinh vi, SWOT, benchmark content va gia, khoang trong thi truong con bo trong. Kich hoat khi user nhac 'nghien cuu doi thu', 'phan tich canh tranh', 'doi thu dang chay gi', 'competitive analysis', 'sao doi thu ban re hon minh', 'doi thu moi noi', 'minh thua doi thu cho nao', 'benchmark thi truong'. Dung ca khi user chi gui link fanpage hoac website doi thu va hoi 'xem giup ho dang lam gi'. Khong dung cho — chot dinh vi cho chinh minh thi dung skill 58-positioning; theo doi lien tuc thao luan mang xa hoi thi dung skill 15-social-listening; nghien cuu tep de chay ads thi dung skill 51-audience-research.

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, derive, optimize, and diagnose structured AI image prompts for luminous cinematic Eastern xianxia environments under one inherited master canon with measurable divine scale, fixed five-layer space, 40–60% content-bearing breathing air, monumental Eastern architecture, railing-free edges, and coherent immortals and costume. Cover one-location scenic landmarks, immense inhabited celestial realms, cloud-borne palace cities, high-key Eastern sky-megastructure imagery, and the explicit `仙界大境原典` creative route. Use for Chinese fantasy scenery, places where immortals live, heavenly capitals, colossal celestial gates, architectural fragments above cloud seas, measurable divine scale, unusual framing, color and lighting direction, style-preserving variants, prompt rewrites, diagnosis, or direct image generation. Support 16:9, 21:9, 4:3, 3:2, 4:5, and 9:16; default to 16:9 for one prompt and never infer a nine-image series from a vertical ratio.

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。

Unified team skill for performance optimization. Coordinator orchestrates pipeline, workers are team-worker agents. Supports single/fan-out/independent parallel modes. Triggers on "team perf-opt".

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。

A complete marketing department in one skill. Website and landing-page audits with weighted 0-100 scores, copywriting with panel scoring and AI-slop removal, an 18-tactic ad hook engine, GEO/AEO for getting cited by ChatGPT/Perplexity/AI Overviews, paid-ads creative diagnosis and production briefs, email sequences, LinkedIn/X writing, launch playbooks, positioning and offer design, competitor teardowns, app store optimization, honest analytics and test design. Use for ANY marketing task — audit, write, rewrite, diagnose, score, plan, launch, position, price, analyze — whenever the user mentions marketing, growth, conversion, copy, ads, hooks, CPM, ROAS, SEO, GEO, email, social, landing pages, funnels, launches, competitors, brand, positioning, pricing, or app stores, or says "my landing page sucks", "nobody's converting", "why are my CPMs up", "AI doesn't recommend us", "write me 20 hooks". Route via the table inside; fan out subagents for multi-dimensional work. Not for pure engineering, legal, or finance.

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。

PromQL queries, alerting rules, recording rules, Grafana dashboard JSON, SLO

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。

Structured logging with Pino/Winston, OpenTelemetry tracing, metrics collection, Grafana dashboards, and alerting rules.

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。

Lambda best practices, S3 event patterns, SQS/SNS fanout, and DynamoDB access patterns for serverless AWS architectures.

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。

Monitoring, logging, and tracing implementation using OpenTelemetry as the unified standard. Use when building production systems requiring visibility into performance, errors, and behavior. Covers OpenTelemetry (metrics, logs, traces), Prometheus, Grafana, Loki, Jaeger, Tempo, structured logging (structlog, tracing, slog, pino), and alerting.

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。

Answer a hard question by fanning it out to a PANEL of models running in parallel — each answering independently with web search and bash, none seeing the others' work — then having Opus 4.8 judge every response into a structured analysis (consensus, contradictions, partial coverage, unique insights, blind spots) and write a final answer grounded in it. The panel is two independent Opus 4.8 runs (slug opus4.8-4.8), Opus 4.8 + GPT-5.5 via codex (opus4.8-gpt5.5), Opus 4.8 + Gemini 3.1 Pro via agy (opus4.8-gemini3.1pro), or all three (opus4.8-gpt5.5-gemini3.1pro). Opus always judges and writes the final answer — the pipeline can't be reversed. Runs on local CLI subscriptions (no metered API), and saves a timestamped provenance .md per run. Use this whenever the user asks to "run it through Fusion", says /fusion, wants a multi-model / panel / ensemble answer, wants a question cross-checked across models, or wants a higher-confidence answer with consensus and blind spots surfaced — even if they don't say "fusion". General-purpose: any topic (research, law, strategy, technical, personal). Best for high-stakes research, design calls, and debugging where being confidently wrong is expensive.

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。

Tool skill for declaring reducers on LangGraph state keys so parallel writes merge instead of crashing. Activates whenever a coder agent designs a StateGraph with parallel branches, fan-out via Send, multi-agent topologies, or whenever a run raises `InvalidUpdateError: At key '<k>': Can receive only one value per step`. Encodes the rule "every state key is single-writer or has a reducer — nothing in between."

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 skill should be used when designing or implementing systems with multiple AI agents that coordinate to accomplish tasks. Triggers on "multi-agent", "orchestrator", "sub-agent", "coordination", "delegation", "parallel agents", "sequential pipeline", "fan-out", "map-reduce", "spawn agents", "agent hierarchy".

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。

Islamic and Sufi wisdom - Tawhid unity, surrender navigation, 99 Names positions, dhikr practice, fana/baqa dissolution

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。

Web browser automation with AI-optimized snapshots for claude-flow agents

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。

Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration

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。

Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.

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。