Loading...
Loading...
Found 1,580 Skills
Use when prompts produce inconsistent or unreliable outputs, need explicit structure and constraints, require safety guardrails or quality checks, involve multi-step reasoning that needs decomposition, need domain expertise encoding, or when user mentions improving prompts, prompt templates, structured prompts, prompt optimization, reliable AI outputs, or prompt patterns.
Master Entity Framework Core patterns for ABP Framework including entity configuration, DbContext, migrations, relationships, and performance optimization. Use when: (1) configuring entities with Fluent API, (2) creating migrations, (3) designing relationships, (4) implementing repository patterns.
Typst Academic Paper Assistant (supports Chinese and English papers, conference/journal submissions). Domains: Deep Learning, Time Series, Industrial Control, Computer Science. Trigger Words (any module can be called independently): - "compile", "compile", "typst compile" → Compilation Module - "format", "format check", "lint" → Format Check Module - "grammar", "grammar", "proofread", "polish" → Grammar Analysis Module - "long sentence", "long sentence", "simplify", "decompose" → Complex Sentence Analysis Module - "academic tone", "academic expression", "improve writing" → Academic Expression Module - "logic", "coherence", "logic", "cohesion", "methodology", "methodology" → Logical Cohesion & Methodology Depth Module - "translate", "translate", "Chinese to English" → Translation Module - "bib", "bibliography", "bibliography" → Bibliography Module - "deai", "de-AI", "humanize", "reduce AI traces" → De-AI Editing Module - "title", "title", "title optimization", "create title" → Title Optimization Module - "template", "template", "IEEE", "ACM" → Template Configuration Module
Build RAG systems - embeddings, vector stores, chunking, and retrieval optimization
This skill should be used when users need help designing content workflows, creating process documentation, implementing automation rules, designing approval processes, or optimizing content pipelines. It activates when users ask about workflow design, process documentation, automation, approval workflows, or content pipeline optimization.
Architectural refactoring guide for Rust applications covering type safety, ownership patterns, error handling strategies, API design, project organization, module structure, naming conventions, conversion traits, and idiomatic patterns. Use when refactoring Rust codebases, reviewing PRs for architectural issues, improving type safety, designing error handling strategies, or organizing project structure. Complements the rust-optimise skill (performance patterns). Does NOT cover performance optimization, memory allocation, or async concurrency tuning (see rust-optimise skill).
Design intuitive user experiences following Jobs-era Apple principles. Use this skill when designing onboarding flows, empty states, dashboards, user journeys, CTAs, forms, or any UI that needs to anticipate user needs and reduce friction. Applies progressive disclosure, anticipatory design, and conversion optimization principles.
Expert SEO strategist specializing in technical SEO, content optimization, and search engine rankings. Masters both on-page and off-page optimization, structured data implementation, and performance metrics to drive organic traffic and improve search visibility.
Master enterprise-grade Scala development with functional programming, distributed systems, and big data processing. Expert in Apache Pekko, Akka, Spark, ZIO/Cats Effect, and reactive architectures. Use PROACTIVELY for Scala system design, performance optimization, or enterprise integration.
Expert in designing, optimizing, and evaluating prompts for Large Language Models. Specializes in Chain-of-Thought, ReAct, few-shot learning, and production prompt management. Use when crafting prompts, optimizing LLM outputs, or building prompt systems. Triggers include "prompt engineering", "prompt optimization", "chain of thought", "few-shot", "prompt template", "LLM prompting".
Create custom agents for Claude Code including YAML frontmatter, system prompts, tool restrictions, and discovery optimization. Use when creating, building, or designing agents, or when asked about agent creation, subagent configuration, Task tool delegation, or agent best practices.
macOS system resource optimization with 40 specialized agents for memory, disk, CPU, and process management