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Found 1,836 Skills
Autonomous prior art search and analysis agent. Searches multiple databases, analyzes references, creates claim charts, and assesses patentability impact.
Fullstack development skill using bkend.ai BaaS platform. Covers authentication, data storage, API integration for dynamic web apps. Project initialization with "init dynamic" or "dynamic init". Use proactively when user needs login, database, or backend features without managing servers. Triggers: fullstack, BaaS, bkend, authentication, login feature, signup, database, web app, SaaS, MVP, init dynamic, dynamic init, 풀스택, 인증, 로그인 기능, 회원가입, 데이터베이스, 웹앱, フルスタック, 認証, ログイン機能, データベース, 全栈, 身份验证, 登录功能, autenticación, inicio de sesión, registro, base de datos, fullstack, aplicación web, authentification, connexion, inscription, base de données, fullstack, application web, Authentifizierung, Anmeldung, Registrierung, Datenbank, Fullstack, Web-App, autenticazione, accesso, registrazione, database, fullstack, applicazione web Do NOT use for: static websites, Enterprise-grade systems requiring custom infrastructure.
Complete knowledge domain for Cloudflare D1 - serverless SQLite database on Cloudflare's edge network. Use when: creating D1 databases, writing SQL migrations, configuring D1 bindings, querying D1 from Workers, handling SQLite data, building relational data models, or encountering "D1_ERROR", "statement too long", "too many requests queued", migration failures, or query performance issues. Keywords: d1, d1 database, cloudflare d1, wrangler d1, d1 migrations, d1 bindings, sqlite workers, serverless database, edge database, d1 queries, sql cloudflare, prepared statements, batch queries, d1 api, wrangler migrations, D1_ERROR, D1_EXEC_ERROR, statement too long, database bindings, sqlite cloudflare, sql workers api, d1 indexes, query optimization, d1 schema
Guide feature development for full-stack applications with architecture focus. Covers Next.js App Router patterns, NestJS backend services, database models, data workflows, and seamless integration. Use when adding new features, refactoring existing code, or planning major changes.
Run a full-scale implementation review with parallel subagents for plan alignment, UI verification, technical and strategic analysis, and test coverage gap closure across app and database layers.
Query the code graph database to understand component relationships, dependencies, and change impact. Use when the user asks to "find callers", "check dependencies", "what uses this", "show relationships", "find serializers", or when reading code and needing to understand what depends on a component before modifications.
Query Developer Experience (DX) data via the DX Data MCP server PostgreSQL database. Use this skill when analyzing developer productivity metrics, team performance, PR/code review metrics, deployment frequency, incident data, AI tool adoption, survey responses, DORA metrics, or any engineering analytics. Triggers on questions about DX scores, team comparisons, cycle times, code quality, developer sentiment, AI coding assistant adoption, sprint velocity, or engineering KPIs.
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Pipeline state management for Goldsky Turbo — pause, resume, restart, and delete commands with their rules and safety behavior. Use this skill when the user asks: will deleting my pipeline lose the data already in my postgres/clickhouse table, how do I pause a pipeline while doing database maintenance, how do I restart from block zero to reprocess all historical data, can I update a running streaming pipeline in place or do I have to delete and redeploy, will resuming a paused pipeline pick up from where it left off (checkpoint), how do I re-run a completed job pipeline from the beginning, can I pause or restart a job-mode pipeline. Also covers what happens to checkpoint state on delete, and job auto-deletion 1 hour after termination. For actively diagnosing why a pipeline is broken or erroring, use /turbo-doctor instead.
Manage server resources via BT Panel API. Supports website management, Docker orchestration, database operation and maintenance, and file management. Features automatic firewall bypass and session sniffing capabilities.
This Skill is built based on Eastmoney's authoritative database and the latest underlying market data, supporting natural language queries for market data (real-time quotes, main capital flows, valuations, etc. of stocks, industries, sectors, indices, funds, bonds), financial data (basic information of listed companies, financial indicators, executive information, main business, etc.), and relationship and operation data (associated relationships, enterprise operation data). It prevents models from answering financial data questions based on outdated knowledge and provides authoritative and timely financial data.
Multi-agent QA review team for code changes. This skill should be used when the user asks to "review my code", "run QA", "qa-team", "review this branch", "code review", "check my changes", or wants a comprehensive multi-perspective code review of the current branch's changes. Spawns parallel specialist agents (security, database, reliability, compatibility, data integrity, performance, frontend, copy) that independently review the diff and produce a converged report. Also includes two generalist reviewers for convergence validation.