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Found 9,777 Skills
Use when the user wants AI-generated short-form video — knowledge cards (picstory / 小红书 / TikTok / Reels), narrated explainers, presentations, AI clips, or slides — covering picstory, present, slides, explain, and image generation. For PaperSlide / paper-textured article-to-card reels, use voxflow:paper-slide.
DTC Full-Funnel Diagnosis & Attribution Engine —— Full-funnel attribution analysis, key indicator anomaly detection, cross-business-line problem localization, root cause analysis, priority ranking. Use when user mentions: 诊断, diagnose, 归因, attribution, 问题分析, root cause, 指标下降, conversion rate decline, ROAS decline, CPA increase, 全链路, full-funnel, 异常检测, anomaly, 问题出在哪, why the decline.
Set up gbrain for this coding agent: install the CLI, initialize a local PGLite or Supabase brain, register MCP, capture per-remote trust policy. One command from zero to "gbrain is running, and this agent can call it." Use when: "setup gbrain", "connect gbrain", "start gbrain", "install gbrain", "configure gbrain for this machine". (gstack)
Sector rotation continuous monitoring via Longbridge — 6–12 month trend tracking across economic cycles (recovery / overheating / stagflation / recession), identifies leading sectors per cycle phase (recovery→consumer discretionary/financials, overheating→energy/materials, stagflation→healthcare/staples, recession→utilities/bonds), and outputs sector allocation recommendations. Differs from longbridge-sector-rotation which gives a point-in-time snapshot. Triggers: "行业监控", "板块监控", "行业跟踪", "经济周期", "顺周期", "逆周期", "行业配置", "周期行业", "防御行业", "行业仓位", "行業監控", "板塊監控", "行業追蹤", "經濟週期", "順週期", "逆週期", "行業配置", "週期行業", "防禦行業", "sector monitor", "sector tracking", "economic cycle", "defensive sector", "cyclical sector", "sector allocation", "late cycle", "early cycle", "sector positioning".
Generate, remix, and manage short video clips via OpenAI's Sora API. Useful for cinematic shots, b-roll, and rapid concept video iteration.
/cs:cto-review <plan> — Architecture and scaling interrogation. Tech debt, scaling cliffs, team scaling, build-vs-buy.
Swiss-grid fintech deck template in black / warm paper / neon-lime contrast. Use when users ask for premium data-story slides with strict modular layout, bold numeric cards, restrained motion, and keyboard/click navigation in one HTML file.
Run Claude Code CLI, VS Code, or JetBrains ACP through a local proxy that routes to NVIDIA NIM, Kimi, OpenRouter, DeepSeek, or local LLMs
Local proxy that lets OpenAI Codex CLI/desktop talk to MiMo, DeepSeek, and other LLMs via Responses API translation
Interactive setup guide for using Infisical as a secret management tool in your projects. Helps users integrate Infisical into local development (CLI), Docker containers (build-time and runtime secret injection), CI/CD pipelines (GitHub Actions, GitLab CI), Kubernetes (Operator + CRDs), and application code (Node.js, Python, Go, Java, .NET, Ruby SDKs). Also walks through choosing and configuring machine identity auth methods (Universal Auth, AWS Auth, Kubernetes Auth, OIDC, etc.). Use this skill whenever someone asks about: using Infisical, injecting secrets, infisical run, infisical init, connecting their app to Infisical, Docker secrets, Kubernetes secrets operator, machine identity setup, SDK initialization, CI/CD secret injection, or 'how do I get my secrets into my app'.
Required reading before writing any HogQL/SQL or calling execute-sql against PostHog. Use whenever the user wants to search, find, or do complex aggregations PostHog entities (insights, dashboards, cohorts, feature flags, experiments, surveys, hog flows, data warehouse, persons, etc.) and query analytics data (trends, funnels, retention, lifecycle, paths, stickiness, web analytics, error tracking, logs, sessions, LLM traces). Covers HogQL syntax differences from ClickHouse SQL, system table schemas (system.*), available functions, query examples, and the schema-discovery workflow.
Expert guidance for developing with the tinystruct Java framework. Use when working on the tinystruct codebase or any project built on tinystruct — including creating Application classes, @Action-mapped routes, unit tests, ActionRegistry, HTTP/CLI dual-mode handling, the built-in HTTP server, the event system, JSON with Builder/Builders, database persistence with AbstractData, POJO generation, Server-Sent Events (SSE), file uploads, and outbound HTTP networking.