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Found 10,841 Skills
The standing craft of a Chief Technology Officer — every technical question answered in four steps (diagnosis of what exists and its constraints, at least two options with tradeoffs and long-term cost, a clear stance that always names the alternatives discarded and why, next steps that can be verified) under five golden rules for a non-developer builder. The state of the art — models, prices, capabilities — is verified live before opining, never answered from memory. Load it as context when acting as CTO of an organization; it is also activated by `role: cto` in that organization's node.
The capability index of the product-builder pack — which skill answers which capability, and where each one lives once installed. Load it to route a request to the right skill of the pack instead of guessing, and to see what the pack does not cover.
Runs quantum computing workflows on AWS through Amazon Braket — discovering devices (QPUs and simulators) and their availability, building gate-model circuits and analog Hamiltonian programs, submitting quantum tasks, program sets and hybrid jobs, looking up prices, and capping spend with spending limits. Applies to any request about quantum computing, quantum hardware, quantum simulation, AHS, OpenQASM, or running a quantum algorithm on AWS.
Entfernt deutsche KI-Marker aus Texten: Über-Nominalisierung, Floskel-Einstiege („In der heutigen schnelllebigen Welt…“), mechanische Konnektoren-Ketten („Darüber hinaus … Zudem … Des Weiteren“), übervorsichtige Sie-Steifheit, leere Superlative, importierte Dreierfiguren. Kalibriert auf die eigene Stimme (2–3 Absätze). Use when German text "klingt nach KI/ChatGPT", "klingt generisch", soll natürlich/menschlich klingen. Trigger: "menschlicher machen", "KI-Sprache entfernen", "klingt nach ChatGPT", "entkrampfen"; English: "humanize this German", "make this German sound human". Eigene deutsche Marker-Liste, keine Übersetzung der englischen.
Separate a strategy return series into declared baseline exposure and residual edge with returns-based OLS attribution, HAC inference, rolling stability, alternate-baseline sensitivity, and regime breakdowns. Use when evaluating whether backtest, out-of-sample, or live returns contain independent alpha beyond market, equal-weight, momentum, sector, or user-supplied factor returns; when explaining whether a drawdown came from baseline exposure or strategy-specific behavior; or when a strategy needs an attribution quality gate after backtesting. Do not use for holdings-based Brinson attribution, feature-level Shapley explanations, or analysis from summary metrics without a dated return series.
Build, improve, and review production interfaces with the Better Design MCP. Use for frontend design, UI, UX, interactions, flows, forms, navigation, components, styling, design systems, accessibility, responsive layouts, motion, React Native, Expo, Shopify, Three.js, and product video work, especially when creating, redesigning, polishing, or reviewing an interface.
Huawei Cloud RDS (Relational Database Service) full-scenario intelligent service covering all database engines (MySQL, PostgreSQL, SQL Server, MariaDB, GaussDB for MySQL, TaurusDB). Provides six capability domains: (1) Basic intelligent Q&A for RDS product features, best practices, and specifications; (2) SQL statement performance optimization with slow log analysis, top SQL, execution plan guidance, and index recommendations; (3) Database instance daily O&M including health inspection, restart, flavor resize, disk expansion, primary-standby switchover, and read replica management; (4) Online fault localization and troubleshooting via error logs, replication status, connection diagnostics, and recovery time window; (5) Parameter tuning with parameter group management, modification suggestions, and performance parameter adjustment guidance; (6) Backup and recovery guidance including backup policy management, manual backup creation, restore to new/existing instance, and point-in-time recovery. Uses CLI→SDK→API three-level fallback for maximum compatibility. All mutating operations require explicit user confirmation. Triggers include: "RDS","关系型数据库","数据库实例","慢SQL","SQL优化","数据库运维","数据库故障","故障排查","参数调优","备份恢复","数据库巡检","RDS诊断","数据库诊断","DBA","数据库性能","主从延迟","连接数","数据库备份","数据恢复","RDS智能服务","database instance","RDS troubleshooting","slow query","SQL performance","database backup","parameter tuning","RDS ops","database diagnose".
Use when the user asks to "plan my launch tier", "how big should this launch be", or "build a launch risk register with kill criteria"; produces a tier decision (Tier 1 flagship all-channel / Tier 2 targeted / Tier 3 changelog-level), a launch-type declaration (new-product / feature / relaunch / partnership with co-marketing split), an effort calibration matrix (tier to channel intensity and asset scope), D0/W1/M1 KPI targets (labeled Estimated), a risk register (likelihood x blast-radius, owners, mitigations, kill criteria / rollback thresholds), and a T-8w to T+4w timeline skeleton. Not for picking the launch date or window — use launch-window-planner; not for creator-channel launch campaigns — use campaign-planner. 发布分级/发布类型/风险登记册/kill criteria
Use when the user asks to "build my brand-safety exclusion lists", "set placement / topic / content exclusions before launch", "add network and audience exclusions", or "prep the A1 brand-safety evidence for the auditor"; produces a placement/network exclusion list, a content-suitability & sensitive-topic block list, an audience/negative-audience exclusion set, and a packaged A1 brand/placement-safety evidence file for the gate. Not for building the audiences you target — use audience-segment-builder; not for computing the RQS or issuing the A1 verdict — use ad-account-auditor. 品牌安全/排除位置/否定受众列表
This is used when separating technology proposal-first approaches, ambiguous requirements, and inconsistencies in assumptions, meanings, objectives, and success criteria into observations, interpretations, problems, and candidate means, and converting them into Problem Frames and Context Packets by moving between concrete and abstract levels. It is not used for specialized model design, contract extraction, integrated implementation, or mechanical changes that follow approved or frozen baselines.
SEO- und Marktdaten über die Akademie von gefundenwerden.online abfragen — mit dem persönlichen mm_-Schlüssel des Nutzers, ohne eigenes DataForSEO-Konto. Use this skill whenever the user wants SEO data via their mm_ key: page audits, Google rankings, keyword ideas and search volume, SERP results, competitors, backlinks, AI visibility (ChatGPT/Gemini mentions), website technology lookups, content mentions, or review data. Enthält alle 12 offenen Bereiche mit geprüften Beispielen, gemessenen Kosten und der Regel, wie man jeden weiteren Endpunkt selbst findet.
Build and operate apps on Firebase using Auth, Firestore, Cloud Functions, and Hosting. Use when building mobile/web backends with managed services, real-time data sync, or serverless APIs.