「ace」の検索結果

AI-агент для управления Facebook рекламой. Вызывай для анализа, оптимизации, создания кампаний и отчётов.

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。

Temu, SHEIN, AliExpress, and TikTok product selection big data analysis agent. Identify trending products, analyze competition, estimate demand, and find sourcing opportunities across fast-fashion and marketplace platforms. Triggers: temu product selection, shein product research, aliexpress trending, tiktok shop products, temu selector, fast fashion products, temu trending, shein trends, product sourcing, dropshipping products, temu winning products

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。

Track TikTok ad activity and monitor advertiser changes using PipiAds tools for TikTok ad discovery and Facebook-based monitoring workflows.

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。

Research markets with sizing, segmentation, competitor mapping, pricing checks, and demand validation that turn fuzzy ideas into decision-ready evidence. Use when (1) you need TAM, SAM, SOM, whitespace, or category sizing; (2) you must compare competitors, pricing, positioning, or customer segments before acting; (3) the user asks whether a niche, launch, expansion, or go-to-market bet is actually worth pursuing.

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。

Build and run multi-agent content production teams on OpenClaw with single-repo architecture, symlink-based file sharing, role-specialized AGENTS.md, and automated review-fix-score loops. Use when: (1) Setting up a team of 3+ agents with writer/reviewer/scorer/fixer roles for content creation, (2) Creating a quality-controlled publishing pipeline, (3) Bootstrapping agent workspaces with symlinks and tool configs from scratch, (4) Running multi-round review→fix→score cycles until a quality threshold is met, (5) Debugging agent spawn permissions, tool-call loops, or symlink issues. Based on real production experience building a 6-agent content team (2026-03-30).

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。

Compare cross-border e-commerce shipping options, packaging tactics, customs-risk signals, and speed-versus-cost tradeoffs for sellers, operations teams, and marketplace operators. Use when choosing routes, carriers, declaration practices, or packaging plans for parcel shipments without relying on live carrier APIs.

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。

Creates and refines Founder Story and brand narrative content for DTC/independent stores selling founder-driven products (e.g. handcrafted leather, artisan sauces, small-batch goods). Use whenever the user mentions founder story, brand story, about page, origin story, artisan brand, handcrafted brand, "who we are" copy, brand voice, mission/vision for a product brand, landing page hero narrative, PDP brand block, or wants to differentiate through authenticity and founder-led storytelling—even if they do not say "founder story" explicitly. Output structured narrative frameworks, placement guidance, and ready-to-use copy aligned with DTC best practices.

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。

中国传统面相学 v2.0.0 - 面相心理学专家：融合传统面相、AI图像识别与心理学分析，既看面相更看改善

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。

CCXT cryptocurrency exchange library for Python developers. Covers both REST API (standard) and WebSocket API (real-time). Helps install CCXT, connect to exchanges, fetch market data, place orders, stream live tickers/orderbooks, handle authentication, and manage errors in Python. Use when working with crypto exchanges in Python projects, trading bots, data analysis, or portfolio management. Supports both sync and async (asyncio) usage.

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。

Audit codebases, infrastructure, AND agentic AI systems for security issues. Covers traditional security (dependencies, secrets, OWASP web top 10, SSL/TLS, file permissions) PLUS agentic security (prompt injection scanning, identity spoofing detection, memory poisoning checks, multi-agent communication audit, OWASP Agentic Top 10). Use when scanning for vulnerabilities, detecting hardcoded secrets, reviewing agent workspace configuration, checking prompt injection vectors, or auditing agent permissions and boundaries.

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。

Maxim L2 pack. Bundles: L1.5 Brand & Design Pro + L1.6 Behavioral Intelligence + L1.2 MemPalace Pro. Primary framework: EAST (Easy, Attractive, Social, Timely).

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 question from the structured wiki before searching the web — "query the wiki", "what do we know about", synthesis request, cross-project research. Returns cited synthesis with wikilinks and counter-arguments.

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。

Maxim L2 pack. Bundles: L1.1 AI Governance + L1.2 MemPalace Pro + L1.3 Proactive Watch. Primary framework: Fogg Behavior Model.

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。

Audit wiki health — "wiki health check", "audit the wiki", "find contradictions", weekly pass, before a major content release. Catches contradictions, stale pages, orphans, duplicate concepts and broken links.

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。

Cross-session memory that resumes your project where you left it, not where the base voice assumes.

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。

Triage an email inbox — "triage my inbox", "sort my inbox", "what emails need a reply", "clear my inbox". Governs the Gmail or Workspace connector you already have rather than shipping its own integration.

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。

Ingest raw sources into the structured wiki — "ingest", "add this to my wiki", new files in raw/, clippings, sources, ideas, nightly ingest. Produces pages with YAML frontmatter and a mandatory Counter-Arguments section.

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。

Review and verify unverified wiki pages — "review unverified pages", "verify wiki content", verification pass, after a major ingest cycle, before content release. The gate that turns AI-generated knowledge into trusted knowledge.

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。

UX and interaction design — UI, interface, wireframe, mockup, prototype, user experience, user journey, usability, accessibility audit, onboarding flow. The "how users think and move through it" domain.

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。

List all built-in Claude Code tools

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Review code changes from current branch, an Azure DevOps PR, a git ref, or a diff/patch file. Trigger when user says "review this", "code review", "/df:code-review", or provides a PR id/URL, ticket URL, git ref, or diff path. Read-only — never posts 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。

Identify and fix typos and grammar mistakes in a file, limited to syntax errors only. Use when user asks to find or fix typos, grammar mistakes, spelling, or syntax errors in a file. Does not suggest editorial or style changes.

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 this skill when the user wants to convert a lecture, presentation, or talk video into text formats (transcript, outline, or article). Trigger when user mentions processing video recordings, creating transcripts from lectures, or generating articles from recorded presentations.

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 working on Nuxt projects (v3+). Use it for building Vue applications with Nuxt's file-based routing, server-side rendering, and auto-import features. Trigger when working with .vue or .ts files in Nuxt directories (pages/, server/, composables/, middleware/), nuxt.config.ts, or when the project contains a nuxt dependency in package.json. Also trigger for questions about Nuxt concepts like composables, auto-imports, server routes, SSR/SSG patterns, or file-based routing.

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。