papi
Manage, search, and extract technical insights from a local paper database. Ideal for developers implementing academic research, verifying code against math, and grounding coding agents in scientific papers.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
515 skills found
Manage, search, and extract technical insights from a local paper database. Ideal for developers implementing academic research, verifying code against math, and grounding coding agents in scientific papers.
Execute implementation plans in small, verifiable batches with pause-for-feedback checkpoints to prevent drift and ensure code quality.
Programmatic parametric CAD for AI agents. Create 3D models, mechanical parts, and complex geometries via MCP tools with support for boolean operations, patterns, and multi-format exports (STL, GLB, STEP).
Plan mode on steroids. Push engineers to think with a product mindset before building with structured intake and concrete technical options.
End-to-end GitHub repository maintenance agent. Automates triage, PR review, issue analysis, and maintenance reporting to ensure long-term repository health, stability, and growth.
A project-specific architectural template for Next.js 15, FastAPI, and Supabase applications, including structured AI integration patterns.
Automates the triage, prioritization, and feedback process for new MultiQC module requests by analyzing repository activity, community engagement, and technical feasibility.
Automates the creation and maintenance of CLAUDE.md files. It monitors codebase evolution and keeps project memory in sync with file changes, structure, and build commands.
Provides comprehensive knowledge on Zed Editor and the Agent Client Protocol (ACP), including AI agent integration, performance tuning, and configuration for professional development workflows.
Analyze and audit Excel spreadsheets to understand logic, identify formula errors, detect risks, and generate documentation for legacy or unknown files.
Get deep, critical, NeurIPS/ICML-style peer reviews of your research, paper drafts, and experimental setups using external LLMs via Codex MCP.
Extract tacit engineering knowledge through guided interviews and generate structured steerings for consistent project standards and conventions.