3,365 件 ・ 関連度順
概要と使いどころ
Analyze HitKeep AI visibility data. Use for AI crawler fetches, AI-referred visits, assistant names or families, citation yield, resource types, top paths, fetch failures, Search Console context, GPTBot, ClaudeBot, ChatGPT, Claude, Perplexity, AI search, or whether assistants are discovering and sending traffic to a site.
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。
Analyze HitKeep ecommerce and conversion data. Use for revenue, orders, average order value, products, sources, ecommerce funnels, conversion changes, UTM performance, acquisition quality, or aggregate city, provider, and ASN context.
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。
基于项目描述与仓库证据生成目标简历、完整核心源码课程与项目面经，含学习路线和第一人称回答。 适用于项目分析、面试准备、简历亮点和导学材料。
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。
Generates a structured playtest report template or analyzes existing playtest notes into a structured format. Use this to standardize playtest feedback collection and analysis.
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 a structured bug report from a description, or analyzes code to identify potential bugs. Ensures every bug report has full reproduction steps, severity assessment, and context.
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。
Analyzes what is done and the users query and offers advice on what to do next. Use if user says what should I do next or what do I do now or I'm stuck or I don't know what to do
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。
Analyzes game balance data files, formulas, and configuration to identify outliers, broken progressions, degenerate strategies, and economy imbalances. Use after modifying any balance-related data or design. Use when user says 'balance report', 'check game balance', 'run a balance check'.
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。
Automatically analyze project state, detect stage, identify gaps, and recommend next steps based on existing artifacts. Use when user asks 'where are we in development', 'what stage are we in', 'full project audit'.
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。
Analyze a feature or sprint for scope creep by comparing current scope against the original plan. Flags additions, quantifies bloat, and recommends cuts. Use when user says 'any scope creep', 'scope review', 'are we staying in scope'.
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。
Apply @aleabitoreddit ("Serenity")'s distilled stock-analysis method to ANY ticker, sector, or situation — critical-chokepoint / supply-chain-OSINT idea discovery, first-principles value-chain decomposition, a Buffett-style quality gate (moat / profitability / customer-replacement risk, all default unverified), and narrative-vs-fundamentals hygiene. Produces a beginner-friendly Chinese analysis (她的观点 / 小白解释 / 第一性原理 / Buffett 直接判断 / 当前结论) that classifies an idea as 研究地图 vs 可投资结论. Trigger on "analyze like Serenity / 用 aleabito 的方法分析 / 用 Serenity 框架 / critical chokepoint 分析 / 第一性原理 + Buffett 判断这只股 / supply-chain bottleneck thesis". Never emits buy/sell calls.
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。
Analyze data coverage, create monitors for warehouse tables and AI agents. Covers coverage gaps, use-case analysis, data monitor creation, and agent observability.
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。
Troubleshoots Monte Carlo AI agent alerts and traces — eval score drops, latency/token spikes, trajectory and validation breaches. Not for data incidents (monte-carlo-analyze-root-cause) or monitor creation (monte-carlo-monitoring-advisor).
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。
Investigate data incidents and find root causes using Monte Carlo's observability data. Guides the agent through systematic investigation: alert lookup, lineage tracing, ETL checks, query analysis, and data profiling. Activates when a user asks about data issues, incidents, alerts, or why data looks wrong.
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。
Analyze a Monte Carlo monitor and recommend config changes to reduce alert noise. Supports metric, custom SQL, validation, table, and agent (metric, evaluation, trajectory, validation) monitors. Fetches the report, identifies patterns, and suggests tuning.
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。
Analyze and design control flows and data structures. Produces compact ASCII tree diagrams showing triggers, call chains, payload shapes, state mutations, and re-render effects. Use when user asks to diagram, trace, visualize, or design a flow or data structure.
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。
Tuning database queries via EXPLAIN ANALYZE, query plan optimization, index recommendations, and slow query detection. Not for schema/migrations (Schema) or non-DB performance (Bolt).
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。
Analyze Amazon traffic gaps between an owned product and competitors using Nexscope keyword, traffic, listing and review evidence. Use for missing keyword coverage, organic-versus-paid traffic structure, variant-aware rank comparisons and evidence-based listing priorities. Produces a local HTML report; does not execute advertising 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。
Post-mortem investigation for failed GSD workflows — analyzes git history, artifacts, and state to diagnose what went wrong
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。
Analyze codebase with parallel mapper agents to produce .planning/codebase/ documents
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。
Search and analyze TikTok video data, filter videos by region, creator, product, category, views, duration, publish time, selling/ad/AI video flags, and return views, likes, comments, shares, favorites, video sales and GMV metrics across 16 TikTok Shop sites. Trigger when users mention TikTok video search, TikTok video list, TikTok promotional videos, TikTok video data, TikTok video views, TikTok video sales, TikTok video analytics, Nexscope video, TikTok video search, TikTok video list, TikTok video analytics, TikTok promotional videos, TikTok video views, TikTok video engagement. Even if the user does not explicitly mention "Nexscope" or "TikTok", trigger this skill whenever their need involves searching or analyzing TikTok video performance metrics by criteria.
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。
Search and analyze TikTok product data including sales, influencer sales data, pricing, and commission rates across 16 TikTok Shop sites. Trigger when users mention TikTok product search, TikTok Shop product analysis, TikTok sales data, influencer sales, TikTok product selection, TikTok commission rate, TikTok product ranking, Nexscope data query, TikTok product search, TikTok sales, influencer sales, TikTok commission, TikTok product selection, short-video e-commerce, TikTok data. Even if the user does not explicitly mention "Nexscope" or "TikTok", trigger this skill whenever their need involves searching products on TikTok Shop or analyzing TikTok product performance metrics.
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。
Query Etsy stores with multi-dimensional filters (sales, favorites, reviews, store opening date, country, primary category, Raving/Star ratings). Trigger when user mentions Etsy store, Etsy shop search, Etsy seller, Etsy shop ranking, Etsy weekly sales stores, Etsy stores, or Etsy store query — even if the tool name is not mentioned, as long as the need is to find stores, filter store data, or analyze store performance on Etsy.
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。
Analyze public Temu category opportunities and keyword demand through Nexscope.
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。
Query and analyze Google Trends real-time hot topics and trending searches for a specified time range and country/region. Triggered by: Google Trends, hot topics, real-time trending, popular trends, current hot searches, recent trending, viral topics, trending searches, trend discovery, market trends, what's popular, trending now, breakout topics.
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。