Agent skills for HTTP / API

Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral).

Fetch live Áskell/Askell product docs (llms.txt index, then the page).

Analyzes articles to extract deep structural insights and cognitive collisions using an X-ray scanning methodology.

Transforms text and web content into high-quality visual PNGs using specialized design templates and artistic styles.

Simplifies complex academic papers into jargon-free, actionable insights using the Feynman technique and conversational analysis.

Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support

Data framework for building LLM applications with RAG.

Unsloth GRPO training, HF export and vLLM serving lifecycle.

Use for authorized security assessment of LLM applications and AI agents, including prompt injection, tool abuse, RAG exposure, memory…

Estimate CPU and RAM needs for plain-English LLM workloads.

When to activate: LLM integration, LangChain, LlamaIndex, prompt templates, chains, tool calling, streaming, token budgeting, LLM caching…

Classify leads using LLM for complex distinctions like product SaaS vs agencies.

Pydantic-AI agents, RAG, embeddings for Pulse Radar knowledge extraction.

Security patterns for autonomous trading agents with wallet or transaction authority.

Manages lightweight, folder-based Markdown knowledge bases with fast offline vector search, BM25 indexing, and automated AI note ingestion.

LLMs and Generative AI: 83 concepts, no maths assumed.

Generates Docker and docker-compose configuration for multi-container development

Configures CORS policy for development and production environments.

Write a load and performance testing plan for a service.

Run plan → still → video → audit fully local.

Guides users through the process of preparing datasets and fine-tuning local Large Language Models (LLMs) using techniques like LoRA and…