Product & Planning

wshaddix Skill

Using .NET Aspire. AppHost orchestration, service discovery, components, dashboard, health checks.

wshaddix Skill

Create a shared ServiceDefaults project for Aspire applications. Centralizes OpenTelemetry, health checks, resilience, and service discovery configuration across all services. Use when building Aspire-based distributed applications, needing consistent observability across services, or configuring HttpClient resilience and service discovery.

wshaddix Bundle

Write integration tests using .NET Aspire's testing facilities with xUnit. Covers test fixtures, distributed application setup, endpoint discovery, and patterns for testing ASP.NET Core apps with real dependencies. Use when writing integration tests for .NET Aspire applications, testing ASP.NET Core apps with real database connections, or verifying service-to-service communication in distributed applications.

cinience Bundle

Use when users need command-line operations on Alibaba Cloud resources (list/query/create/update/delete), credential/profile setup, region/endpoint selection, or API discovery from CLI.

cinience Skill

Minimal smoke test for Alibaba Cloud ESA skill. Validate OpenAPI metadata discovery and API inventory generation for product ESA.

cinience Bundle

Use when managing Alibaba Cloud Performance Testing Service (PTS) via OpenAPI/SDK, including scene lifecycle operations, test start/stop control, report retrieval, and metadata-driven API discovery before production changes.

cinience Bundle

Use when managing Alibaba Cloud DevOps (Yunxiao 2020) via OpenAPI/SDK, including project/repository/pipeline resource discovery, read-only inspection, and safe change planning before mutating operations.

cinience Bundle

Use when discovering and reconciling Alibaba Cloud product catalogs from Ticket System, Support & Service, and BSS OpenAPI; fetch OpenAPI product/version/API metadata; and summarize API coverage to plan new skills. Use when you need a complete product list, product-to-API mapping, or coverage/gap reports for skill generation.

cinience Skill

Minimal smoke test for OpenClaw setup skill. Validate official channel discovery workflow, DingTalk/Feishu integrations, Discord token configuration, and gateway health checks with non-destructive commands.

linkfox-ai Bundle

基于极目数据的亚马逊商品发掘与潜力爆品挖掘。当用户提到产品挖掘、潜力爆品、高转化选品、点击增长分析、市场增长机会、关键词选品、FBA利润筛选、细分市场商品发掘、卖家来源筛选、product mining, potential bestsellers, high-conversion product selection, market growth opportunities, Jiimore data, FBA profitability screening, keyword-based product selection时触发此技能。即使用户未明确提及"极目"，只要其需求涉及基于转化率、点击量和利润指标的亚马逊关键词驱动选品，也应触发此技能。

linkfox-ai Bundle

按ASIN查找亚马逊同细分市场（Niche）竞品，支持点击转化率、综合转化率、点击量、销量、评论、评分、价格、毛利率等多维度筛选潜力竞品。当用户提到同细分竞品、ASIN竞品挖掘、Niche竞品分析、同类商品对标、ASIN对标分析、细分市场竞品列表、高转化竞品筛选、极目产品挖掘、niche competitor by ASIN, ASIN competitor analysis, same niche products, similar products discovery, conversion rate comparison, potential competitor screening, Jiimore ASIN mining时触发此技能。即使用户未明确提及"细分市场"或"Niche"，只要其需求涉及根据某个ASIN挖掘同细分下的竞品列表或筛选潜力竞品，也应触发此技能。

linkfox-ai Bundle

Jungle Scout产品数据库多条件筛选，支持按品类、价格、销量、收入、评论、评分、重量、BSR排名、LQS、卖家类型等维度筛选亚马逊商品，覆盖10个站点。当用户提到亚马逊选品、产品数据库筛选、BSR排名筛选、品类选品、高评分低竞争选品、FBA选品、亚马逊商品搜索、产品筛选、Amazon product database, product research, product filtering, BSR rank filter, category product search, niche product finder, FBA product search, Amazon product discovery, low competition products, Jungle Scout product database时触发此技能。即使用户未明确提及"Jungle Scout"或"产品数据库"，只要其需求涉及按多条件筛选亚马逊商品或发现潜力产品，也应触发此技能。

linkfox-ai Bundle

查询并分析Google Trends在指定时间范围和国家/地区的实时热门话题与热搜。当用户提到谷歌趋势、热门话题、实时热搜、流行趋势、当前热点、近期热门、病毒式话题、时间段热度、区域趋势分析、Google Trends, real-time hot topics, trending topics, popular trends, recent trending searches, trend discovery时触发此技能。即使用户未明确说"Google Trends"，只要其需求涉及发现特定市场近期热门或正在流行的话题和搜索词，也应触发此技能。

linkfox-ai Bundle

Jungle Scout关键词拓展工具，根据种子关键词扩展出相关关键词列表，包含搜索量、趋势、PPC竞价、排名难度等数据，覆盖美国、英国、德国、日本等10个亚马逊站点。当用户提到关键词拓展、关键词挖掘、长尾词挖掘、相关关键词、关键词建议、拓词、PPC竞价研究、关键词竞争度、关键词发现、Jungle Scout关键词、keyword expansion, keyword discovery, keyword scout, related keywords, long-tail keywords, keyword suggestions, PPC bid research, keyword competition, seed keyword expansion, keyword mining时触发此技能。即使用户未明确提及"Jungle Scout"，只要其需求涉及从一个种子关键词出发找到更多相关关键词及其搜索量、竞争度等指标，也应触发此技能。

linkfox-ai Bundle

使用卖家精灵数据在亚马逊上查找和分析竞品，覆盖12个站点，包含销量、BSR、定价、评分和增长趋势等商品指标。当用户提到竞品查询、竞品分析、ASIN反查、竞争商品研究、查找相似商品、市场竞品发现、商品对标、竞品销量估算、分析竞争Listing、competitor analysis, ASIN reverse lookup, competitor sales, competitor research, SellerSprite, market competitor discovery, competitor trends时触发此技能。即使用户未明确提及"卖家精灵"或"竞品查询"，只要其需求涉及通过ASIN、关键词、卖家名称、品牌或品类发现和分析亚马逊竞品，也应触发此技能。

linkfox-ai Bundle

调用 Sorftime 研究 Walmart 美国站关键词市场、名称反查词、搜索结果商品、关键词详情、商品关联词与扩展词，并管理收藏关键词目录。当用户提到 Walmart 关键词研究、搜索量或排名筛选、商品反查关键词、相关关键词、关键词详情、关键词搜索结果商品、收藏关键词、关键词分组、keyword research、keyword discovery、related keywords 或 product keywords 时使用。

dawiddutoit Skill

Guides users through structured three-stage collaborative documentation workflow including context gathering, iterative refinement, and reader testing. Use when asked to "write a doc", "draft a proposal", "create a spec", "write technical documentation", "create a PRD", or "draft an RFC". Implements systematic approach for PRDs, design docs, decision docs, technical specs, and proposals through clarifying questions, section-by-section iteration, and fresh-eye validation. Works with markdown documentation, technical specifications, and structured writing projects.

educlopez Bundle

Use for UI design and implementation work to avoid generic AI-looking interfaces. Provides anti-slop rules, a required discovery phase before coding, and guidance for layout, typography, color, motion, accessibility, dashboards, tables, landing pages, theming, and polish. Trigger when editing UI code or reviewing and refining components, pages, screens, layouts, animations, responsive behavior, or design systems.

oldwinter Skill

Turn the current conversation context into a PRD and publish it to the project issue tracker. Use when user wants to create a PRD from the current context.

oldwinter Skill

汇总指定日期范围内 Daily notes 中的未完成任务到当前 Daily note。当用户提到"汇总未完成任务"、"收集待办"、"统计任务"、"整理积压任务"、"backlog整理"时触发。支持指定时间范围（如"最近1周"、"最近1个月"、"从12月到现在"）。

yonatangross Bundle

Write PRD — Product Requirements Documents with structured 8-section templates, user stories, acceptance criteria, and value proposition validation. Use when writing PRDs, defining product requirements, creating user stories with INVEST criteria, or building go/no-go decision frameworks.

yonatangross Bundle

OKR trees, KPI dashboards, North Star Metric, leading/lagging indicators, and experiment design. Use when setting team goals, defining success metrics, building measurement frameworks, or designing A/B experiment guardrails.

yonatangross Bundle

Decomposes a PRD, issue, or spec into a copy-pasteable single `/goal until ..., or stop after N turns` line. Use when running /goal against a spec, to reduce acceptance criteria to AND-joined boolean assertions.

yonatangross Bundle

Prioritization frameworks — RICE, WSJF, ICE, MoSCoW, and opportunity cost scoring for backlog ranking. Use when prioritizing features, comparing initiatives, justifying roadmap decisions, or evaluating trade-offs between competing work items.

yonatangross Bundle

Product management frameworks for business cases, market analysis, strategy, prioritization, OKRs/KPIs, personas, requirements, and user research. Use when building ROI projections, competitive analysis, RICE scoring, OKR trees, user personas, PRDs, or usability testing plans.

terrylica Bundle

Generalized Sharpe ratio inference under non-Normal serially correlated returns. Implements López de Prado, Lipton & Zoonekynd (2026): PSR, MinTRL, DSR, pFDR, oFDR, SFDR with ρ-corrected variance (Eq 2-3). Numba JIT for production speed. Use when computing Sharpe significance, minimum track record, false discovery rates, or deflated Sharpe ratios with autocorrelation correction.

lyndonkl Bundle

Analyzes decisions from multiple stakeholder perspectives (engineering, product, legal, finance, users) to uncover blind spots, surface tensions, and synthesize alignment paths with explicit tradeoffs. Use when stakeholders have conflicting priorities, need to pressure-test proposals, build cross-functional empathy, or when user mentions "what would X think", "stakeholder alignment", "see from their perspective", "blind spots", or "conflicting interests".

lyndonkl Bundle

Creates concise, decision-ready product specifications (one-pagers and PRDs) that align stakeholders on problem, solution, users, success metrics, and constraints. Use when proposing new features/products, documenting product requirements, creating concise specs for stakeholder alignment, pitching initiatives, scoping projects before detailed design, capturing user stories and success metrics, or when user mentions one-pager, PRD, product spec, feature proposal, product requirements, or brief.

lyndonkl Bundle

Compares multiple named alternatives against weighted criteria to produce transparent, defensible choices with explicit trade-off analysis. Covers criterion identification, weighting approaches (direct allocation, pairwise comparison, stakeholder averaging), scoring calibration, sensitivity analysis, and group decision facilitation. Use when choosing between vendors/tools/strategies, balancing competing priorities (cost vs quality vs speed), or when user mentions "which option should we choose", "compare alternatives", "evaluate vendors", or "trade-offs".

lyndonkl Bundle

Plans backward from a fixed goal or deadline to the present, identifying required milestones, dependencies, critical path, and feasibility constraints to transform aspirational targets into actionable sequenced plans. Use when planning with fixed deadlines, working backward from future goals, mapping critical path, or when user mentions "backcast", "work backward from", "reverse planning", "we need to launch by", "target date is", or "what needs to happen to reach".

lyndonkl Bundle

Guides structured identification of potential harms, benefits, and differential impacts across stakeholder groups for decisions affecting people. Covers stakeholder mapping, fairness evaluation, risk mitigation design, and monitoring. Use when decisions could affect groups differently, need to anticipate harms/benefits, assess fairness and safety, identify vulnerable populations, or when user mentions ethical review, impact assessment, differential harm, safety analysis, bias audit, or responsible AI/tech.

lyndonkl Bundle

Synthesizes information from multiple sources into coherent insights and applies analogical reasoning to transfer knowledge across domains. Use when conducting literature reviews, integrating stakeholder feedback, reconciling conflicting viewpoints, identifying cross-source patterns, creating explanatory analogies ("X is like Y"), finding creative solutions through cross-domain transfer, or testing whether analogies hold (surface vs deep). Use when user mentions "synthesize", "combine sources", "analogy", "similar to", "transfer from", "integrate findings".

lyndonkl Bundle

Chains together clear specifications, proactive risk analysis (premortem/register), and measurable success metrics into a comprehensive planning artifact for high-stakes initiatives. Use when planning migrations, launches, or strategic changes that need implementation roadmaps, risk mitigation, and instrumentation. Invoke when user mentions "plan this migration", "launch strategy", "implementation roadmap", "what could go wrong", "how do we measure success", or when high-impact decisions need comprehensive planning.

lyndonkl Bundle

Provides frameworks for mapping stakeholder influence networks, designing team structures aligned with system architecture (Conway's Law), defining team interface contracts (APIs, SLAs, decision rights), and assessing capability maturity (DORA, CMMC, agile models). Use when designing org structure or team topologies, mapping stakeholders for change initiatives, defining team interfaces, assessing capability maturity, planning restructures, or when user mentions org design, team structure, stakeholder map, Conway's Law, or RACI.

lyndonkl Bundle

Creates strategic portfolio roadmaps that size and sequence initiative bets across time horizons (H1/H2/H3), balance risk profiles (core/adjacent/transformational), and set clear exit/scale criteria for disciplined resource allocation. Use when managing multiple initiatives across time horizons, balancing risk vs return across portfolio, sizing and sequencing bets with dependencies, setting exit/scale criteria for experiments, allocating resources across innovation types, or when user mentions portfolio planning, roadmap horizons, betting framework, initiative prioritization, innovation portfolio, or resource allocation across horizons.

lyndonkl Bundle

Guides learners to discover knowledge through strategic Socratic questioning and progressive scaffolding removal. Combines question ladders, misconception detectors, Feynman explanations, and worked-example fading to build durable understanding. Use when teaching complex concepts, correcting misconceptions, onboarding team members, mentoring problem-solving, or designing self-paced learning. Use when user mentions "teach me", "help me understand", "explain like I'm", "learning path", "guided discovery", or "Socratic method".