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Found 2,028 Skills
Leverage the market statistics capability of SellerSprite to output a market statistics dashboard by category node, including metrics such as average rating, average price, BSR, sales volume, number of sellers, and new product-related indicators for top Listings. It is suitable for quickly judging the market quality and competitive landscape of a certain category. This skill is triggered when the user mentions category market statistics, market selection dashboard, market foundation assessment, node market quality, top product statistics, SellerSprite market statistics, or category statistics. Even if the user does not explicitly mention "SellerSprite", this skill should be triggered as long as the requirement is to view aggregated statistical results by category node.
Leverage the traffic keyword reverse lookup capability of SellerSprite to query indicators such as keyword traffic sources, traffic proportion types, conversion types, organic positions, and ad positions by ASIN. It supports historical months and multi-dimensional sorting. This skill is triggered when users mention terms like ASIN reverse lookup traffic keywords, traffic keyword lists, keyword traffic structure, organic/ad keyword analysis, keyword conversion types, SellerSprite traffic keyword, Amazon traffic keywords, or reverse ASIN keywords. Even if users do not explicitly mention "SellerSprite", this skill should be triggered as long as the requirement is to view the keyword traffic sources and keyword list of a specific ASIN.
Manages Todoist tasks, projects, sections, labels, comments, completed-task reports, activity logs, ID migration, project templates, and sync workflows through Todoist API v1. Use when the user asks to capture tasks, quick-add work, triage an inbox, resolve Todoist names to IDs, bulk-close or move tasks, add repeated comments, review completed work, manage project structure, export templates, or automate Todoist workflows.
Buffett-style single-stock moat diagnostic — "Would Buffett buy this stock?" Five dimensions: business & moat / financial health / management & capital allocation / valuation & margin of safety / long-term visibility. Data from Longbridge CLI first, MCP fallback, WebSearch only for gaps. Runs cross-statement reconciliation (勾稽校验) BEFORE scoring; data-source appendix closes with a one-line reconciliation summary. Output: star-rated radar card, dimension detail, Buffett-voice narrative, mandatory holding-period education block. Triggers: "巴菲特", "护城河", "巴菲特会买吗", "价值投资", "好生意", "宽护城河", "定价权", "诊股", "巴菲特诊股", "巴菲特视角", "长期持有", "護城河", "巴菲特會買嗎", "價值投資", "寬護城河", "定價權", "診股", "巴菲特診股", "巴菲特視角", "長期持有", "Buffett", "Warren Buffett", "moat", "economic moat", "wide moat", "pricing power", "value investing", "owner earnings", "would Buffett buy", "Berkshire-style", "quality compounder".
Create a polished, on-brand Instagram post — square or portrait hero image with matching caption and hashtags.
MCP server providing access to 41 Korean legal APIs (법제처) with citation verification, impact analysis, and time-travel diff capabilities
Design, build, and optimize dashboards for RIA practice management with AUM tracking, revenue analytics, and KPI frameworks. Use when the user asks about tracking firm-level metrics, monitoring advisor productivity, measuring organic growth rate, analyzing client retention and attrition, building executive or branch manager views, setting up exception alerts for NIGO or rebalancing drift, benchmarking against industry peers, or designing role-based dashboard access. Also trigger when users mention 'how is the practice doing', 'revenue per advisor', 'client attrition', 'net new assets', 'effective fee rate', 'practice benchmarking', 'AUM growth decomposition', 'advisor capacity', or 'referral tracking'.
Guides VP-level cloud program leadership—multi-year cloud strategy and migration/modernization portfolio, landing zone and CCoE operating model at org scale, hyperscaler enterprise agreement and commit governance, hybrid/multi-cloud posture, cloud center of excellence and talent, and board/CFO/CTO cloud narratives. Use when setting cloud direction, prioritizing migration waves, governing EA/MACC and cloud spend envelope, designing federated cloud org model, steering CCoE and standards adoption, preparing executive or board cloud updates, or adjudicating product vs platform vs security cloud trade-offs—not for Terraform/K8s implementation (cloud-engineer, infrastructure-engineer), landing zone technical design (enterprise-cloud-architect, cloud-architect), monthly CUR FinOps (finops-analyst), TCO/NPV modeling (cloud-economist), full infra portfolio including DC capex (vp-of-infrastructure), or GL close (compute-accounting-manager).
How to analyze prose style and produce style reference files. Use when creating, updating, or evaluating style files: the reference documents that capture a project's voice patterns for writer and critic agents.
Xiaohongshu Copy Rewriting Capability; Used when users need to rewrite copy into Xiaohongshu style
Construcción y optimización cuantitativa de portafolios: Markowitz (scipy.optimize + Monte Carlo), Black-Litterman (prior CAPM, views absolutas/relativas, posterior bayesiano), HRP/HERC/NCO (clustering jerárquico, risk parity, NCO con restricciones). Todo flat numpy + scipy, sin Riskfolio-Lib ni PyPortfolioOpt.
Use when goals, capabilities, and epics are defined and you need to decompose them into features, user stories, acceptance summaries, and cross-functional delivery tasks. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution. Explicit full or end-to-end spec refinement requests continue through the existing 18-stage refinement cascade.