Comprehensive website and web app audit covering security, UX, performance, accessibility, SEO, compliance, and revenue protection. Use this skill whenever the user asks to audit, review, check, or score a website or web application. Also use when the user says 'full-stack audit', 'UX audit', 'security audit', 'launch checklist', 'is my site ready to launch', 'check my site', 'review my code for issues', 'what did I miss', or any variation of wanting a comprehensive quality review before or after launch. This skill catches the issues that AI-built and vibe-coded sites consistently get wrong: client-side paywalls, exposed database tables, missing security headers, broken mobile layouts, and trust gaps that kill conversion. Triggers even if the user only asks about one area (e.g., 'check my security') because problems compound across categories.
- 📁 scripts/
- 📄 manifest.json
- 📄 SKILL.md
基于东方财富专业数据库，支持自然语言查询金融数据，覆盖A股、ETF、债券、港美股、基金等全品类资产，含实时行情、公司信息、估值、财务报表等，数据实时、权威、全面，可用于投资研究、交易复盘、行业分析、信用研究、财报审计、资产配置、报告撰写等场景，一站式满足机构与个人投资分析、市场监控、数据检索等需求。返回结果包含数据说明及 xlsx 文件。
Run spec-driven QA automation for seeknal medallion E2E pipelines. Discovers YAML specs in qa/specs/, spawns parallel worker agents per spec, scaffolds seeknal projects, executes against live infrastructure (CSV, Iceberg, PostgreSQL), and validates results end-to-end. Inspired by Bowser's composable automation pattern.
Backend specialist — builds APIs, database operations, auth, and server-side logic with security and performance focus
Use when generating tests for backend code (Express routes, MongoDB models, Node services) - analyzes file type, detects test framework from package.json, generates comprehensive tests with setup/teardown and edge case coverage
· Build, review, or architect AI/ML applications -- LLM integrations, RAG pipelines, agent systems, embeddings, evals, local inference, structured output, and tool use. Triggers: 'llm', 'rag', 'embedding', 'vector store', 'langchain', 'openai sdk', 'anthropic sdk', 'agent loop', 'fine-tune', 'ollama', 'vllm', 'evals', 'guardrails', 'chunking', 'reranking'. Not for MCP servers (use mcp), prompt writing (use prompt-generator), or general DB (use databases).
- 📁 data/
- 📁 examples/
- 📁 references/
- 📄 LEARNINGS.md
- 📄 SKILL.md
This skill should be used when the user asks about "Ben Gurion airport", "TLV flights", "flight status", "departures from Tel Aviv", "arrivals at TLV", "is my flight on time", "flight to Amsterdam", "airport delays", "cancelled flights", "gate info", "terminal 3", "pickup from airport", "weather at destination", "flight delay history", "נתב״ג", "טיסות", "לוח טיסות", "מצב טיסה". Provides live flight data from Ben Gurion Airport (TLV), destination weather via Open-Meteo, and historical delay analysis via local SQLite database. Do NOT use for booking flights, non-TLV airports, or general travel planning.
Use this skill whenever working with QuestDB — a high-performance time-series database. Trigger on any mention of QuestDB, time-series SQL with SAMPLE BY, LATEST ON, ASOF JOIN, ILP ingestion, or the questdb Python/Go/Java/Rust/.NET client libraries. Also trigger when writing Grafana queries against QuestDB, creating materialized views for time-series rollups, working with order book or financial market data in QuestDB, or any SQL that involves designated timestamps or time-partitioned tables. QuestDB extends SQL with unique time-series keywords — standard PostgreSQL or MySQL patterns will fail. Always read this skill before writing QuestDB SQL to avoid hallucinating incorrect syntax. --- # QuestDB Skill ## How to Use This Skill **IMPORTANT — MINIMIZE ROUND-TRIPS:** - Do NOT explore library source code (cryptofeed, questdb, etc.) - Do NOT check library versions or verify callback signatures - Do NOT read installed package files to "understand the API" - Do NOT verify infrastructure (Docker containers, Grafana health) is running — trust the user's prompt - Do NOT start `02_ingest.py` separately — `03_dashboard.py` launches it and verifies data automatically - Do NOT read extra reference files for topics already covered in this skill file - DO read reference files when their topic applies (e.g. enterprise.md for auth, grafana-advanced.md for complex panels) - Do NOT use task tracking (TaskCreate/TaskUpdate) for straightforward builds - Do NOT add `sleep` commands to wait for data or check background processes (the deploy script handles this) - Do NOT Ctrl+C, restart, or re-launch the ingestion process once `03_dashboard.py` has started it - Do NOT put VWAP, Bollinger, or RSI in separate timeseries panels — they are refIDs on the OHLC candlestick panel - Do NOT omit or empty `fieldConfig.overrides` — they put RSI on a right Y-axis (0-100%) and spread on a right axis. Without them, different scales crush the chart flat. - Do NOT set dashboard refresh to `"5s"` — the defa
Use these skills to manage and monitor Oracle databases by executing SQL statements, exploring schema metadata, analyzing query performance, monitoring active sessions and resource consumption, and managing storage and object health.
Configure Better Auth server and client, set up database adapters, manage sessions, add plugins, and handle environment variables. Use when users mention Better Auth, betterauth, auth.ts, or need to set up TypeScript authentication with email/password, OAuth, or plugin configuration.
Query and manage Banktivity financial data. Use when the user asks about transactions, accounts, spending, categories, tags, or securities in their Banktivity database.
Baseline de conhecimento para AI/ML engineering moderno em Python. Foco em LLM engineering, RAG systems, agent frameworks (LangChain/LangGraph), multiple LLM providers (Anthropic, OpenAI, Bedrock, Gemini, Meta), vector databases (Qdrant), semantic caching (MongoDB, Redis), testing, observability, security, e production patterns. Complementa arch-py skill com patterns AI-specific.
