What does Fugui-research-lab do?
Personal Research Lab: Research methods, deep work workflows, agent skills, and practical notes for building durable thinking systems.
A personal research lab focused on research methods, deep work workflows, agent skills, and practical notes for building durable thinking systems.
This skill, imartinw29/Fugui-research-lab, provides a curated collection of research methodologies, deep work strategies, and practical notes designed to help developers and AI agent users build durable thinking systems. It includes reusable agent skills and workflows for conducting effective research, maintaining focused cognitive states, and organizing knowledge. The skill supports various platforms by offering markdown-based guides and checklists that can be integrated into note-taking apps, task managers, or AI agent configurations. By leveraging these resources, users can enhance their productivity, streamline research processes, and develop robust frameworks for long-term intellectual work.
npx skills add imartinw29/Fugui-research-labInstalled? Explore more Research & Data Analysis skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Personal Research Lab: Research methods, deep work workflows, agent skills, and practical notes for building durable thinking systems.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.