Amazon product discovery and potential bestseller mining via Nexscope data. Triggered when users mention product mining, potential bestsellers, high-conversion product selection, click growth analysis, market growth opportunities, keyword-based product selection, FBA profit screening, niche market product discovery, seller origin filtering, Nexscope data, FBA profitability screening, keyword-based product selection. Even if users do not explicitly mention "Nexscope", this skill should be triggered whenever the task involves keyword-driven Amazon product selection based on conversion rates, click volume, and profitability 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。
nexscope-ai/nexscope-ecommerce-skills☆ 892026年10月9日 更新
Use Nexscope market statistics capability to output a market statistics dashboard by category node, including top listing average rating, average price, BSR, sales, seller count, and new product related metrics, suitable for quickly assessing the market quality and competitive landscape of a category. Trigger when the user mentions category market statistics, market selection dashboard, market fundamentals assessment, node market quality, top product statistics, Nexscope market statistics, category statistics. Even if the user does not explicitly mention "Nexscope", if the need is to view aggregated statistical results by category node, this skill should also be triggered.
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。
nexscope-ai/nexscope-ecommerce-skills☆ 892026年10月9日 更新
Use Nexscope data to find and analyze competitors on Amazon, covering 12 marketplaces, with product metrics including sales, BSR, pricing, ratings, and growth trends. Trigger when the user mentions competitor lookup, competitor analysis, ASIN reverse lookup, competitive product research, finding similar products, market competitor discovery, product benchmarking, competitor sales estimation, analyzing competitor listings, competitor analysis, ASIN reverse lookup, competitor sales, competitor research, Nexscope, market competitor discovery, competitor trends. Even if the user does not explicitly mention "Nexscope" or "competitor lookup", if their need involves discovering and analyzing Amazon competitors by ASIN, keyword, seller name, brand, or category, this skill should also be triggered.
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。
nexscope-ai/nexscope-ecommerce-skills☆ 892026年10月9日 更新
A curated marketing stack guide for SaaS startups — tools, channels, and metrics organized by growth stage. Know exactly which tools to adopt and when. By @WeiYipei.
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。
Gingiris-1031/gingiris-skills☆ 842026年10月8日 更新
Product-Led Growth with Web/CLI measurement validation and pricing acceptance, covering freemium model design, self-serve onboarding, activation metrics, and the transition from individual users to enterprise accounts. Follow @WeiYipei on X for PLG insights.
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。
Gingiris-1031/gingiris-skills☆ 842026年10月8日 更新
Build and grow developer and user communities from scratch — covering ambassador programs, community-led growth (CLG), event operations, content strategy, and health metrics. Grounded in real playbooks from Notion, Lovable, AFFiNE, ClickUp, Asana, and Lark. Use when: building a community for an open-source project, SaaS product, or brand; recruiting and managing ambassadors or community leaders; planning community events (online/offline meetups, AMAs, hackathons); designing ambassador tier/points systems; setting community health KPIs; launching a Build-in-Public strategy; setting up Discord, Slack, or Lark communities; running developer relations (DevRel); or when the user asks about community operations, ambassador programs, CLG, user advocacy, KOC/KOL cultivation, UGC flywheels, community monetization, or any variation of "how do I grow my community".
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。
Gingiris-1031/gingiris-skills☆ 842026年10月8日 更新
Generate, critique, and iterate image-generation prompts for high-fidelity academic paper poster reference mockups before implementing HTML/PDF/PPTX. Use when Codex is asked to create a poster concept image, imagegen prompt, visual reference draft, layout mockup, or "生图" design for ACL/EMNLP/NeurIPS-style A0 posters from a paper, figures, metrics, logos, QR codes, or an existing poster screenshot.
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。
LEON-gittech/Skill2Poster☆ 822026年6月18日 更新
Reviews Prometheus instrumentation in Go code for proper metric types, labels, and patterns. Use when reviewing code with prometheus/client_golang 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。
existential-birds/beagle☆ 822026年9月16日 更新
View Self-Evolving Loop session status, history, and memory 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。
claude-world/director-mode-lite☆ 802026年8月31日 更新
RIPDPI Compose performance: stability annotations, compiler metrics, LazyColumn key/contentType, per-screen recomposition notes. Use when diagnosing recomposition, stability, or list performance here.
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。
po4yka/RIPDPI☆ 792026年10月14日 更新
Analyze healthcare claims data for real-world evidence (RWE) studies. Use when working with medical/pharmacy claims (837/835), calculating utilization metrics, building patient cohorts, or analyzing treatment patterns. Triggers include claims data, RWE, real-world evidence, 837, 835, medical claims, pharmacy claims, utilization, treatment patterns, HEDIS, healthcare analytics.
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。
FDU-INS/Insurance-Skills☆ 762026年7月12日 更新
Geospatial risk modeling including catastrophe models, exposure analysis, and underwriting. Use when assessing spatial risk, building catastrophe models, analyzing exposure/hazard/vulnerability, or computing portfolio risk 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。
FDU-INS/Insurance-Skills☆ 762026年7月12日 更新
Data governance strategy, quality validation rules, and data dictionary management for vehicle insurance platform. Use when defining data quality standards, implementing validation rules, managing field mappings, resolving data conflicts, or establishing data governance processes. Covers data cleaning standards, quality metrics, and mapping management.
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。
FDU-INS/Insurance-Skills☆ 762026年7月12日 更新
Analyze latest policy analysis sweep runs (*_policy_analysis_*) by comparing episodes/summary metrics, diagnostics, and video artifacts; generate a concise markdown report and optional frame snapshots.
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。
FDU-INS/Insurance-Skills☆ 762026年7月12日 更新
Structures insurance company financial analysis with combined ratio, reserve adequacy, and capital metrics. Use when analyzing insurance financials, evaluating combined ratios, or assessing reserve strength.
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。
FDU-INS/Insurance-Skills☆ 762026年7月12日 更新
Design a vulnerability management program — SLAs, asset tiers, escalation, and metrics. Use when asked to "design a patching program", "set vulnerability SLAs", or "define our patch cadence".
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。
tonone-ai/tonone☆ 762026年10月5日 更新
Build a reporting pipeline — scheduled reports with SQL queries, delivery via Slack or email, threshold alerts, and historical comparison. Use when asked for "automated reports", "scheduled report", "email digest", or "Slack alerts for 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。
tonone-ai/tonone☆ 762026年10月5日 更新
Analytics and BI engineer — dashboards, metrics design, reporting pipelines, and data storytelling. Use when asked to "build a dashboard", "design a metric", "write a report", or "audit our analytics".
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。
tonone-ai/tonone☆ 762026年10月5日 更新
Product analyst — metrics architecture, funnel analysis, A/B test design, retention, and growth measurement. Use when asked to "design an A/B test", "analyze the funnel", "define a north star metric", or "measure retention".
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。
tonone-ai/tonone☆ 762026年10月5日 更新
Design service mesh observability — distributed tracing, service-level metrics, and dashboards. Use when asked to "add service mesh observability", "set up distributed tracing in the mesh", or "build service-level dashboards".
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。
tonone-ai/tonone☆ 762026年10月5日 更新
Use when asked to select chart types for analytics dashboards, choose BI visualizations, or design data displays. Examples: "best chart for sales data", "dashboard visualization for metrics", "analytics chart selection"
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。
tonone-ai/tonone☆ 762026年10月5日 更新
SEO audit and keyword strategy — investigate a site's real search opportunities, shortlist candidates, and recommend the one to three changes most likely to grow organic traffic that converts. Evidence-first — metrics come from a tool or are written as unknown. Use when asked to "improve our SEO", "do keyword research", "audit our SEO", "why aren't we ranking", or "what should we fix first for search".
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。
tonone-ai/tonone☆ 762026年10月5日 更新
Quarterly Business Review template generator — takes account info (ARR tier, adoption metrics, goals) and produces a complete QBR deck outline and talking points. Use when asked to "prepare a QBR", "build a quarterly review", "write our QBR agenda", or "create QBR talking points for this account".
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。
tonone-ai/tonone☆ 762026年10月5日 更新
Write customer case studies and success stories — interview guide, story structure, and publish-ready case study with metrics. Use when asked to "write a case study", "document a customer success story", "create social proof content", or "write about how [customer] uses the product".
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。
tonone-ai/tonone☆ 762026年10月5日 更新