research-review
Get deep, critical, NeurIPS/ICML-style peer reviews of your research, paper drafts, and experimental setups using external LLMs via Codex MCP.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
555 skills found
Get deep, critical, NeurIPS/ICML-style peer reviews of your research, paper drafts, and experimental setups using external LLMs via Codex MCP.
Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.
Help users manage time and tasks effectively. Use for overcoming overwhelm, improving focus, balancing responsibilities, and increasing personal productivity.
Automate pull request reviews with structural code analysis, blast radius assessment, and dependency impact mapping.
Expert automated code review for Go CLI applications, focusing on Cobra/urfave patterns, security, performance, idiomatic Go, and robust error handling.
Structured 6-phase workflow for planning and implementing features, skills, and architectural changes with automated tool discovery and safety verification.
CLI tool to bundle repository context, files, and prompts into a one-shot request for advanced AI debugging, refactoring, and code review.
Manage Slack communications: send, edit, delete messages, handle reactions, pin items, and fetch member information directly through your AI agent.
Automated quality assurance system that validates markdown deliverables against defined checklists for PB-000 market research workflows.
Validates Skill, Agent, and Command syntax using validate_skills.py, logs errors, and manages the automated QC workflow for agent development.
Scaffold and build interactive MCP Apps with custom UIs for hosts like Claude Desktop. Supports React, Vanilla JS, and various framework templates for tool-resource integration.
Pushes local changes in git submodules (hive or core-geth) to their respective remote forks, ensuring repository synchronization.