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Found 10,718 Skills
Chief Security Officer mode. Infrastructure-first security audit: secrets archaeology, dependency supply chain, CI/CD pipeline security, LLM/AI security, skill supply chain scanning, plus OWASP Top 10, STRIDE threat modeling, and active verification. Two modes: daily (zero-noise, 8/10 confidence gate) and comprehensive (monthly deep scan, 2/10 bar). Trend tracking across audit runs. Use when: "security audit", "threat model", "pentest review", "OWASP", "CSO review". (gstack) Voice triggers (speech-to-text aliases): "see-so", "see so", "security review", "security check", "vulnerability scan", "run security".
MUST be used whenever fixing security issues in a Flows app, or before shipping any feature that handles credentials, user input, or external data. This skill finds AND fixes security problems — it does not just report them. Do NOT skip this when the user asks for a security fix, security hardening, or vulnerability remediation — run every step in order. Triggers: security, security fix, security hardening, vulnerability, XSS, injection, credentials, secrets, auth, authentication, authorization, token, sensitive data, input validation, CORS, CSP, dependency audit.
Comprehensive guide for implementing Syncfusion Angular popup components including Dialog, Predefined Dialogs and Tooltip. Use this when building modal/modeless dialogs, confirmation popups, forms in dialogs, draggable windows, popovers, tooltips, and overlaid content with custom positioning, animations, WCAG 2.2 accessibility, forms integration, and event handling in Angular applications.
Find and evaluate research datasets for any scientific question. Teaches how to reason about data needs, search across public repositories, evaluate dataset fitness, and identify access requirements. Use whenever users ask to find data, search for datasets, identify cohort studies, or need data for analysis. Also use when users ask about a specific survey or cohort (NHANES, HRS, UK Biobank, TCGA, etc.), when they want to know what data exists for a research question, or when they need to compare available data sources. If the user mentions "where can I get data" or "is there a dataset for X", this is the right skill.
When the user wants to optimize pharmacy supply chain operations, manage medication distribution, ensure pharmaceutical compliance, or handle controlled substances. Also use when the user mentions "pharmacy logistics," "drug distribution," "controlled substances," "340B program," "formulary management," "medication safety," "specialty pharmacy," "drug shortages," "DEA compliance," "pharmaceutical traceability," or "DSCSA compliance." For hospital materials management, see hospital-logistics. For clinical trial drugs, see clinical-trial-logistics.
Mutating operations on the user's Longbridge price alerts — list (read-only), add a new price alert, enable / disable an alert, delete an alert. Requires longbridge login. Every mutation (add / delete / enable / disable) requires a two-step preview + confirm protocol. Use only when the user gives a clear imperative ("set a price alert at 200 for NVDA", "delete alert 486469", "提醒我 NVDA 涨到 200"); ambiguous prompts ("整理我的提醒") must be rejected with a "please be more specific" reply rather than triggered. Triggers: "设置股价提醒", "添加股价提醒", "提醒我 X 涨到 Y", "提醒我 X 跌破 Y", "删除股价提醒", "关掉提醒", "暫停提醒", "設置股價提醒", "添加股價提醒", "提醒我 X 漲到 Y", "提醒我 X 跌破 Y", "刪除股價提醒", "關掉提醒", "set price alert", "add price alert", "alert me when X hits Y", "delete price alert", "enable alert", "disable alert", "price alert".
Cloudflare Workers Runtime APIs including Fetch, Streams, Crypto, Cache, WebSockets, and Encoding. Use for HTTP requests, streaming, encryption, caching, real-time connections, or encountering API compatibility, response handling, stream processing errors.
DeepEval evaluation workflow for AI agents and LLM applications. TRIGGER when the user wants to evaluate or improve an AI agent, tool-using workflow, multi-turn chatbot, RAG pipeline, or LLM app; add evals; generate datasets or goldens; use deepeval generate; use deepeval test run; add tracing or @observe; send results to Confident AI; monitor production; run online evals; inspect traces; or iterate on prompts, tools, retrieval, or agent behavior from eval failures. AI agents are the primary use case. Covers Python SDK, pytest eval suites, CLI generation, tracing, Confident AI reporting, and agent-driven improvement loops. DO NOT TRIGGER for unrelated generic pytest, non-AI test setup, or non-DeepEval observability work unless the user asks to compare or migrate to DeepEval.
Use when running OpenCLI commands to interact with websites (Bilibili, Twitter, Reddit, Xiaohongshu, etc.), desktop apps (Cursor, Notion), or public APIs (HackerNews, arXiv). Covers installation, command reference, and output formats for 79+ adapters.
ETF analysis framework via Longbridge — product screening (AUM/expense ratio/index), tracking error, liquidity (bid-ask spread/volume), premium/discount (NAV vs market price), and A-share ETF allocation insights. Triggers: "ETF分析", "ETF选择", "ETF跟踪误差", "ETF溢价", "ETF流动性", "ETF费率", "ETF规模", "宽基ETF", "行业ETF", "指数基金", "ETF分析", "ETF選擇", "ETF追蹤誤差", "ETF溢價", "ETF流動性", "ETF費率", "ETF規模", "指數基金", "ETF analysis", "ETF selection", "tracking error", "ETF premium discount", "ETF liquidity", "expense ratio", "broad market ETF", "sector ETF", "index fund".
Quantitative strategy generation and optimisation framework via Longbridge — create, modify, and backtest quant strategies: parameter grid search, walk-forward validation, overfitting detection (in-sample vs. out-of-sample), strategy combination (multi-strategy correlation diversification), Sharpe / Calmar ratio optimisation. Generates Python code frameworks for local execution. Triggers: "策略优化", "策略生成", "参数优化", "网格搜索", "回测优化", "过拟合", "walk-forward", "策略回测优化", "策略組合", "策略優化", "策略生成", "參數優化", "網格搜索", "回測優化", "strategy optimization", "strategy generation", "parameter optimization", "grid search", "overfitting", "walk-forward validation", "strategy backtest", "Sharpe ratio", "Calmar ratio".
Industry supply-chain analysis via Longbridge Securities — maps upstream / midstream / downstream structure for a sector, identifies key bottleneck nodes, assesses bargaining power and profitability at each tier, and evaluates investment value of core supply-chain companies using Longbridge data. Triggers: "产业链", "供应链", "上中下游", "产业链分析", "供应链分析", "咽喉环节", "卡脖子", "产业链投资", "产业链研究", "產業鏈", "供應鏈", "上中下游", "產業鏈分析", "供應鏈分析", "咽喉環節", "supply chain", "value chain", "upstream midstream downstream", "supply chain analysis", "bottleneck", "industry chain", "supply chain investment".