Loading...
Loading...
Found 1,257 Skills
This guide covers the design philosophy, core concepts, and practical usage of the AgentScope framework. Use this skill whenever the user wants to do anything with the AgentScope (Python) library. This includes building agent applications using AgentScope, answering questions about AgentScope, looking for guidance on how to use AgentScope, searching for examples or specific information (functions/classes/modules).
A WeChat Official Account article generator designed specifically for Dify workflow case sharing, which follows the writing specifications of Xiaohuihui's official account, automatically generates complete Dify case articles including preface, workflow production, and summary, with detailed node configuration, plugin installation steps, code examples, and supports uploading automatically generated images to Tencent Cloud COS image hosting.
Meta-skill for extracting and creating reusable Claude Code skills from past work sessions. Analyzes git history, code patterns, workflows, and documentation to identify harvestable skills, then generates comprehensive skill definitions with best practices, examples, and structured templates.
Write and revamp product documentation to a high editorial standard using Mintlify, with strong information architecture, precise titles/descriptions, parameter-level clarity, cross-linking, and maintainable examples. Use when creating new docs pages, refactoring existing docs, improving docs structure/navigation, or standardizing docs quality across a repository.
Generate exactly 5 probability-weighted options for a specific decision point. Forces unconventional alternatives beyond safe defaults. For quick decision-point analysis, NOT full design exploration (use brainstorming for that). Triggers on "대안", "alternatives", "옵션 뽑아", "options", "어떤 방법이", "아이디어", "다른 방법", "선택지".
Generate tiered knowledge-verification questions (quiz/exam) at 3 difficulty levels with grading and diagnostics. For testing UNDERSTANDING of code, concepts, or architecture — NOT for writing software tests (use engineering:testing-strategy for that). Triggers on "문제 만들어", "quiz", "검증 문제", "이해도 확인", "knowledge check", "challenge me", "시험 문제", "면접 문제".
ALWAYS LOAD THIS SKILL when: something doesn't work as expected, documentation is unclear, need to understand library internals, debugging integration issues, or before making assumptions about how a library works. Contains opensrc repo paths, debugging workflows, and examples for Effect, TanStack, TRPC, Drizzle, Better Auth, OpenCode.
Opinionated guide to software design principles and architectural patterns. Use when reviewing code design, planning feature architecture, asking "is this the right design?", "how should I structure this?", or requesting design philosophy guidance. Triggers on questions about SOLID, DRY, KISS, YAGNI, Clean Architecture, DDD, hexagonal architecture, composition vs inheritance, coupling, cohesion, or any software design trade-off discussion.
Generate a pedagogically-grounded study guide for learning an unfamiliar codebase. Use when the user wants to onboard onto a codebase, understand a project's architecture, create learning materials for a team, or asks things like "help me learn this codebase", "create an onboarding guide", "I'm new to this project", "how does this system work", "study guide for this repo", or "explain this codebase to me". Produces a structured document that builds understanding from purpose to systems to patterns, using evidence-based learning techniques (elaborative interrogation, concept mapping, threshold concepts, worked examples, progressive disclosure).
Use this skill when building real-time data pipelines, stream processing jobs, or change data capture systems. Triggers on tasks involving Apache Kafka (producers, consumers, topics, partitions, consumer groups, Connect, Streams), Apache Flink (DataStream API, windowing, checkpointing, stateful processing), event sourcing implementations, CDC with Debezium, stream processing patterns (windowing, watermarks, exactly-once semantics), and any pipeline that processes unbounded data in motion rather than data at rest.
Teaches AI to design landing pages that feel like $150k agency work. Defines exact fonts, spacing, shadows, card structures, animations, and Korean typography standards that make Supanova-generated pages feel expensive and intentional. Blocks all common defaults that make AI designs look cheap or generic.
Reusable workflow for implementing and validating the RDS Button component using @rds-vue-ui packages from the private registry, including theme wiring, examples, and QA checks.