What does research-ai-tool-insights do?
Discover, verify, rate, and pass along mainstream AI tool news, video cases, and practical tips with this Codex Skill.
A Codex Skill for discovering, verifying, rating, and passing along mainstream AI tool news, video cases, and practical tips.
This Codex Skill, research-ai-tool-insights, is designed to help developers and AI agent users efficiently discover, verify, rate, and share news, video tutorials, and practical tips about mainstream AI tools. It aggregates content from various sources, ensures credibility through a verification process, and provides a rating system to prioritize high-quality information. The skill supports seamless integration into Codex workflows, allowing users to quickly access curated AI tool insights without manual searching. By automating the research and curation process, it saves time and ensures that only reliable, actionable content is forwarded to the user or shared with a team. This skill is ideal for staying up-to-date with the fast-moving AI tool landscape.
npx skills add ye136655401/research-ai-tool-insightsInstalled? Explore more Research & Data Analysis skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Discover, verify, rate, and pass along mainstream AI tool news, video cases, and practical tips with this Codex Skill.
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.