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End-to-end Lucid Agent creation, testing, and deployment pipeline
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End-to-end Lucid Agent creation, testing, and deployment pipeline
Guides new team members through complete dev environment setup. Use when user says "help me get started", "set up my environment", "onboarding", "get started", or asks about setting up their development environ...
Learn about Agent Skills - how AI agents use skills, create new skills, and understand skill discovery in real-time. Use when user asks about skills, wants to create a skill, or wants to understand how Claude u...
Create reusable agent skills for OpenCode with proper structure, frontmatter, and validation
Load a chain to restore context from previous work. Use anytime when working on related topics - proactively search and suggest relevant chains.
Evaluate LLM outputs with multi-dimensional rubrics, handle non-determinism, and implement LLM-as-judge patterns. Essential for production LLM systems. Use when testing prompts, validating outputs, comparing mo...
Master 26 documented prompt engineering principles for crafting effective LLM prompts with 400%+ quality improvement. Includes templates, anti-patterns, and quality checklists for technical, learning, creative,...
Guide for creating effective skills that extend Claude's capabilities. Use when users want to create a new skill, update an existing skill, or need guidance on skill structure and best practices. Triggers: 'cre...
Professional writing assistance for blogs, research articles, fiction, essays, and marketing copy. Use when users want to write, edit, or improve any form of written content. Triggers: 'write a blog', 'write an...
Multi-agent workflow orchestration with state persistence, handoff patterns, and resumable workflows. Use when building multi-agent workflows, coordinating complex tasks, or implementing resumable processes. Tr...
Design effective MCP tools and Claude Code integrations using the consolidation principle. Fewer, better-designed tools dramatically improve agent success rates. Use when creating MCP servers, designing tool in...
Create comprehensive ontological documentation for Grey Haven systems - extract domain concepts from TanStack Start and FastAPI codebases, model semantic relationships, generate visual representations of system...
Build LLM-powered applications and pipelines using proven methodology - task-model fit analysis, pipeline architecture, structured outputs, file-based state, and cost estimation. Use when building AI features,...
Design and implement long-term memory systems for AI agents using vector stores, knowledge graphs, and hybrid approaches. Includes benchmarks and decision frameworks. Use when building persistent agent memory,...
Coordinate multi-agent swarm workflows. Use when working in parallel with other agents, managing shared resources, or orchestrating distributed tasks. Covers conflict prevention, handoffs, and state synchroniza...
Analyzes and transforms prompts using 7 research-backed frameworks (CO-STAR, RISEN, RISE-IE, RISE-IX, TIDD-EC, RTF, Chain of Thought, Chain of Density). Provides framework recommendations, asks targeted questio...
Auto-activates when generating Product Requirements Prompt (PRP) documents from synthesized design outputs, providing structured templates and comprehensive implementation guidance.
Design REST APIs or function contracts with clear request/response specifications, error handling patterns, authentication strategies, and comprehensive documentation.
Auto-activates during requirements analysis to evaluate technical stack compatibility, recommend appropriate technologies, and assess performance implications.
Auto-activates when synthesizing outputs from multiple parallel sub-agents to create cohesive, integrated design with consistency checking and conflict resolution.
自动使用Context7进行文档研究,当用户需要代码生成、配置步骤或库/API文档时无需明确请求即可自动获取最新信息
Creates step-by-step tutorials and educational content from code. Transforms complex concepts into progressive learning experiences with hands-on examples. Use PROACTIVELY for onboarding guides, feature tutoria...
Formats content to be eligible for featured snippets and SERP features. Creates snippet-optimized content blocks based on best practices. Use PROACTIVELY for question-based content.
Analyzes provided content for quality, E-E-A-T signals, and SEO best practices. Scores content and provides improvement recommendations based on established guidelines. Use PROACTIVELY for content review.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.