Expert Haskell engineer specializing in advanced type systems, pure
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Orchestrate parallel scientist agents for comprehensive research with AUTO mode
UI/UXのクリエイティブディレクション、完全リデザイン、新規デザイン、トレンド適用。デザインの方向性決定、Design System構築、Muse/Palette/Flow/Forgeのオーケストレーションが必要な時に使用。コードは書かない。
Design vector similarity search systems for semantic retrieval at scale
System health check (MOT) for skills, agents, hooks, and memory
System health check (MOT) for skills, agents, hooks, and memory
Comprehensive analysis of Swift 6 ownership, concurrency safety, and systems programming foundations.
専門AIエージェントチームを統括するオーケストレーター。要求を分解し、最小のエージェントチェーンを設計し、AUTORUNモードでは各エージェント役を内部実行して最終アウトプットまで自動進行する。複数エージェント連携が必要な時に使用。
Expert guidance for creating, writing, building, and refining Claude Code Skills. Use when working with SKILL.md files, authoring new skills, improving existing skills, or understanding skill...
Skip to content Search… All gists Back to GitHub Sign in Sign up Instantly share code, notes, and snippets. @giansalex giansalex/torrent-courses-download-list.md forked from M-Younus/torrent...
C++20 specialist with expertise in modern C++ features, performance optimization, and system programming
Develop agentic software and multi-agent systems using Google ADK in Python
Use when building UIs leveraging the WordPress Design System (WPDS) and its components, tokens, patterns, etc.
Enables Claude to use Google AI Studio for testing prompts, exploring models, and prototyping AI applications
Expert in system optimization, profiling, and scalability. Specializes in eBPF, Flamegraphs, and kernel-level tuning.
Conducts a deep, multi-round interview to clarify ambiguous requirements and produces a structured specification document. Automatically discovers requirement files and asks probing, non-obvious...