paper-plan
Generate a structured academic paper outline from research narrative, experiment data, and review conclusions.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
423 skills found
Generate a structured academic paper outline from research narrative, experiment data, and review conclusions.
Multi-phase feature development workflow for complex tasks using research, planning, implementation, and review gates.
Framework for building AI agents that persist state across multiple context windows, enabling them to complete complex, multi-day coding tasks without losing progress or context.
A Notion-based tracking system for tweet performance to enable data-driven content experimentation using reinforcement learning principles.
Generate production-ready Stigmer McpServer YAML configurations for integrating external tools into your AI agents.
Conduct systematic literature reviews across PubMed, arXiv, and Semantic Scholar with AI-driven synthesis, verified citations, and mandatory schematic visualization.
Advanced exploratory testing with SBTM, RST heuristics, and test tours. Use for investigating bugs, discovering unknown risks, and structured manual exploration.
Evidence-first literature collector for automated research pipelines. Scales paper pools to 1200+ with metadata normalization, provenance tracking, and multi-source ingestion.
Retrieve current, source-backed technical information using MCP tools to resolve queries about libraries, APIs, SDKs, and evolving tech ecosystems.
A powerful CLI tool for image compression and conversion, supporting batch processing, multiple engines (mozjpeg, pngquant, sharp, etc.), format conversion (WebP, AVIF), and recursive directory optimization.
Search, discover, install, update, and manage skills for AI coding agents. Centralized interface for ecosystem-wide skill discovery and local organization.
Preprocessing and cleaning astronomical light curves using Lightkurve. Tools for outlier removal, flattening, trend detrending, and quality flag handling for time-series analysis.