lllllllla/ai-research-reproduction
llllllla/rigorpilot-skills から提供されるエージェントスキル「ai-research-reproduction」。
AI研究者向けのスキル「ai-research-reproduction」：研究結果の再現性を高めるためのエージェントスキル
このスキル「ai-research-reproduction」は、llllllla/rigorpilot-skillsリポジトリから提供されるエージェントスキルで、AI研究における結果の再現性を重視する開発者向けに設計されています。主な目的は、実験のセットアップ、データ処理、モデル訓練の各ステップを標準化・自動化し、再現可能な研究プロセスを支援することです。対応プラットフォームはClaude Code、Cursor、Codexなどの主要なAIエージェントツールで、SKILL.mdドキュメントに基づき、具体的な再現性向上のワークフロー（例：環境構築の自動化、パラメータの固定化、結果の記録）を提供します。このスキルを使うことで、研究者は再現性の課題を軽減し、実験結果の信頼性を高めることができます。
npx skills add https://github.com/lllllllama/rigorpilot-skills/tree/main/skills/ai-research-reproductionInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
llllllla/rigorpilot-skills から提供されるエージェントスキル「ai-research-reproduction」。
This repo contains 10 individual skills — each has its own dedicated page.
Agent skill 'ai-research-explore' from lllllllama/rigorpilot-skills.
Agent skill 'analyze-project' from lllllllama/rigorpilot-skills.
Agent skill 'env-and-assets-bootstrap' from lllllllama/rigorpilot-skills.
Agent skill 'explore-code' from lllllllama/rigorpilot-skills.
Agent skill 'explore-run' from lllllllama/rigorpilot-skills.
Agent skill 'minimal-run-and-audit' from lllllllama/rigorpilot-skills.
Agent skill 'paper-context-resolver' from lllllllama/rigorpilot-skills.
Agent skill 'repo-intake-and-plan' from lllllllama/rigorpilot-skills.
Agent skill 'run-train' from lllllllama/rigorpilot-skills.
Agent skill 'safe-debug' from lllllllama/rigorpilot-skills.
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.