Agent skills for ChatGPT

Maintains an implementation-agnostic, behavior-first functional blueprint to guide AI-driven refactoring and long-term project evolution.

Keep a long-lived project's documentation from rotting by assigning existing project docs clear constitution, map, status, and history…

Use when targeting Living Reviews in Relativity (LRR) or deciding whether an invited, continuously updated authoritative review in…

Entry point for deploying and managing apps on Lizard via the `lizard` CLI (npm `@lizard-build/cli`).

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.

Synchronizes local Claude skills to GitHub with automatic Org-mode to Markdown conversion and documentation validation.

Deep-dive English word mastery tool. Deconstructs a single English word into core semantics and epiphany. Use when user asks to…

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

Complete LLDB command reference — variable inspection, breakpoints, threads, expression evaluation, process control, memory commands, and…

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

Use when: (1) Entering an LLM-based Kaggle competition (open-source model required, prompt engineering, few-shot), (2) Need to choose…

Configure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation

Harden an LLM application against unbounded consumption with input/output caps, token budgets, rate limiting, and cost controls.

LLM integration patterns including API usage, streaming, function calling, RAG pipelines, and cost optimization

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

Use when improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and…

Audit and improve public static websites so LLM agents and crawlers can discover, retrieve, and understand their content without depending…

Parse SGLang/vLLM startup logs to explain GPU memory use and request capacity.

LLM Tuning Patterns