Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy. Default to flagging; approval is earned.

This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.

Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.

A source code analyzer built for surfacing features of interest and other characteristics to answer the question 'What's in the code?' quickly using static analysis with a json based rules engine. Ideal for scanning components before use or detecting feature level changes.

A curated set of agent skills for Qdrant vector search, providing structured knowledge on scaling, optimization, monitoring, deployment, and SDK usage.

Turn project work into reusable knowledge — an AI-agent skill for Claude Code & Codex

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

Audio generation skill — jingles, beds, voiceover, and sound effects. Routes music requests to Suno V5 / Udio / Lyria, speech to MiniMax TTS / FishAudio / ElevenLabs V3, and SFX to ElevenLabs SFX or AudioCraft. Output is one MP3/WAV file saved to the project folder.

An exam cram coach skill for Claude agents that creates chaptered knowledge bases and quiz banks from course materials, with source-labeled answers and abstention when out of scope.

Browser-automation agent for Chrome — natural-language tasks executed through native tool calling, scoped Skills, CDP keyboard control, and a confirm-before-act security model. BYOK across 8 LLM providers (Claude, GPT, Gemini, DeepSeek + 4 China-region).

Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.