Agent skills for HTTP / API

Report the embedded release marker when testing public Skill installation or marketplace updates.

Use for Livewire performance work. Covers what one Livewire request actually costs, the snapshot that travels both ways on every request…

Develop and contribute to the PinchTab project.

Deconstructs academic papers into simplified summaries and visualizes cognitive insights using ASCII art and personal knowledge baselines.

Converts structured outlines into high-impact, slogan-style HTML presentations with ultra-bold typography and minimalist aesthetics.

Transforms complex articles, papers, and books into sharp, logical Q&A chains that reveal an author's core argument skeleton.

Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware.

Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons…

Use when ANY runtime debugging is needed — setting breakpoints, inspecting variables, evaluating expressions, analyzing threads, or…

LLM-based text classification: codebook, validation, agreement statistics.

LLM-based zero-shot and few-shot classification for flexible intent detection

Use proactively whenever LLM API costs come up -- or should.

Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously…

Run multi-LLM council for adversarial debate and cross-validation.

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

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

LLM streaming response patterns. Use when implementing real-time token streaming, Server-Sent Events for AI responses, or streaming with…

Demonstrate unbounded resource consumption against an LLM application — token floods, unbounded output, and cost/denial-of-wallet…

Use when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests…

Analyzes and generates llms.txt files -- the emerging standard for helping AI systems understand website structure and content.

Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag).