whereismyai
Paper Menu
Paper Menu is an open source research paper control skill that inventories local skills and organizes files into structured directories.
Paper Menu is a research paper control skill designed to inventory scattered research code and files, organize them into a unified project structure, and manage the execution of local skills. It analyzes installed skills to check for duplicates, conflicts, and gaps before generating a structured execution menu for the user to approve. Once approved, it creates fixed directory structures and tracks research outputs using consistent numbering across code, figures, and tables. It works with local Codex environments, utilizing Python 3 standard libraries for its orchestration scripts. The product is intended for researchers managing multiple AI skills and project files who want to prevent workflow conflicts and disorganized directories.
Paper Menu at a glance
Key features
- Inventories installed research skills
- Analyzes skill duplicates and conflicts
- Creates fixed project directories
- Shares consistent numbering across code, figures, and tables
- Audits final document structures and evidence chains
- Checks for missing capabilities and data gaps
Use it for
- Managing multiple conflicting research skills
- Organizing scattered research project code and files
- Auditing data and research materials
- Structuring research papers into fixed directories
Alternatives to Paper Menu
- Paperthin — Skills that make coding agents check their work like engineers
- Paper2Agent — It enables direct interaction with research papers and automatic result reproduction.
- Agent Skills — Encodes senior-engineer workflows and quality gates into 24 skills.
- Papermorph — Converts static PDF documents into interactive and narrated web books.
- pstack — Improves AI coding agent outcomes with rigorous workflows.
- Pi Skills — Extends coding agents with web search, browser automation, and Google tools.
- Waza — Embeds structured engineering habits into AI agents to prevent generic, imprecise output.
- Markdown Viewer Skills — Extends AI coding agents with structured visualization capabilities.
- Rubi — It cuts AI token waste by keeping sessions short and mapping project knowledge.
- Garden Skills — Provides specialized, reusable workflows for common AI coding agent tasks.
- Skill Seekers — Converts 18 data sources into structured AI skills for 22 platforms.
- Skills — Provides specific agent skills for UI polish, color systems, and accessibility reviews.
All Paper Menu alternatives