instruction-engineering
Use when: (1) constructing prompts for subagents, (2) invoking the Task tool, or (3) writing/improving skill instructions or any LLM prompts for maximum effectiveness
prompt-engineer
Build, analyze, and optimize LLM prompts and technical documentation. Activates when user wants to create, modify, review, or improve prompts, or when requests are ambiguous and need clarification before writing.
slipstream-finetune
Finetune LLMs to speak Slipstream natively - complete guide with GLM-4-9B
prompt-engineering
Prompt design, optimization, few-shot learning, and chain of thought techniques for LLM applications.
llm-basics
LLM architecture, tokenization, transformers, and inference optimization. Use for understanding and working with language models.
model-deployment
LLM deployment strategies including vLLM, TGI, and cloud inference endpoints.
prompt-design
Core prompt design patterns and templates for effective LLM communication
fine-tuning
LLM fine-tuning and prompt-tuning techniques
prompt-templates
Reusable prompt templates for common tasks and optimization patterns
ai-ml-technologies
Master AI, machine learning, LLMs, prompt engineering, and blockchain development. Use when building AI applications, working with LLMs, or developing smart contracts.
google-image-search
Search and download images via Google Custom Search API with LLM-powered selection. This skill should be used when finding images for articles, presentations, research documents, or enriching Obsidian notes with relevant visuals. Supports simple queries, batch processing from JSON config, automatic config generation from terms, and full note enrichment with automatic image insertion below headings.
perplexity
AI-powered search engine with real-time web grounding and citations
gemini
Gemini CLI for one-shot Q&A, summaries, and generation.
