发现 Skills

Automate Signaturely tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Spondyr tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate SurveyMonkey survey creation, response collection, collector management, and survey discovery through natural language commands

Automate Test App tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Timelinesai tasks via Rube MCP (Composio). Always search tools first for current schemas.

Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store

Modern JavaScript/TypeScript development with the Bun runtime. Covers package management, bundling, testing, and migration from Node.js. Use when working with Bun, optimizing JS/TS development speed, or migrating from Node.js to Bun.

Comprehensive toolkit for developing with the CocoIndex library. Use when users need to create data transformation pipelines (flows), write custom functions, or operate flows via CLI or API. Covers building ETL workflows for AI data processing, including embedding documents into vector databases, building knowledge graphs, creating search indexes, or processing data streams with incremental updates.

Specialized skill for building production-ready Discord bots. Covers Discord.js (JavaScript) and Pycord (Python), gateway intents, slash commands, interactive components, rate limiting, and sharding.

Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.

Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains.

Internationalization and localization patterns. Detecting hardcoded strings, managing translations, locale files, RTL support.

Automatic quality control, linting, and static analysis procedures. Use after every code modification to ensure syntax correctness and adherence to project standards. Triggers on keywords: lint, format, check, validate, types, static analysis.

Expert guidance for distributed NoSQL databases (Apache Cassandra, ScyllaDB, Amazon DynamoDB). Focuses on mental models, query-first modeling, single-table design, denormalization, and avoiding hot partitions in high-scale systems.

Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior.

Senior Quality Manager Responsible Person (QMR) for HealthTech and MedTech companies. Provides overall quality system responsibility, regulatory compliance oversight, management accountability, and strategic quality leadership. Use for quality system governance, regulatory compliance oversight, management responsibility, and quality strategic planning.

Best practices for Remotion - Video creation in React

Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.

End-to-end workflow for creating complete JavaScript concept documentation, orchestrating all skills from research to final review

Create distinctive, production-grade Flutter mobile & web UI with high design quality. Use this skill when the user asks to build Flutter screens, widgets, components, dashboards, or full apps. Generates creative, polished Dart/Flutter code that avoids generic AI aesthetics and follows Flutter/Material/Cupertino best practices.

Deterministic daily stock analysis skill for global equities. Use when users need daily analysis, next-trading-day close prediction, prior forecast review, rolling accuracy, and reliable markdown report output.

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.