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obra

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

tilework-tech

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions

penne-0505

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions

penne-0505

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions

u9401066

Memory Checkpoint is an AI agent skill that streamlines biomedical literature research by providing a professional MCP server with 40 tools, multi-source search, and full-text access, benefiting developers and researchers.

yankeeinlondon

Resume localise : A monorepo for AI-powered research and automation tools # schematic-define Use this skill when working in schematic/define or when updating docs/tests that describe schematic-define behavior. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Docaari

GrindfyManager

pur3v4d3r

This is my active PKB/Codebase where Knowledge is Treated As Code.

BluMintInc

Custom rules for use in BluMint repositories.

fabioeducacross

Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.

loopstack-ai

Build a secure filesystem operations tool for Docker sandbox environments using the Loopstack framework

kaenozu

複雑なシステムの包括的レビュー、TDDに基づく堅牢なコアロジック構築、AIアンサンブルの統合、および高パフォーマンスな並列処理設計を専門とする建築家。大規模なリファクタリングや、信頼性が極めて重要な意思決定エンジンの構築に使用する。