wellio-skill は何をしますか？
Codexスキル：LAS、DLIS、WITSMLの坑井検層データを自然言語で分析します
Codexスキル：LAS、DLIS、WITSMLの坑井検層データを自然言語で分析します
このスキルは、Codexエージェント（例：Cursor、Codex CLI）上で動作し、石油・ガス業界の坑井検層データ（LAS、DLIS、WITSML形式）を自然言語クエリで分析できるようにします。エンジニアや地質学者は、専門的なコードを記述せずに、ログデータの読み込み、可視化、統計解析、異常検出などを実行できます。主要な検層データ形式をサポートし、解析結果をグラフや表で直感的に表示します。データの前処理やノイズ除去機能も内蔵しており、高速かつ正確な坑井解析ワークフローを実現します。
npx skills add billerss11/wellio-skillInstalled? Explore more 研究＆データ分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Codexスキル：LAS、DLIS、WITSMLの坑井検層データを自然言語で分析します
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.