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Found 1,747 Skills
A safe calculator for mathematical expressions
The industry standard library for machine learning in Python. Provides simple and efficient tools for predictive data analysis, covering classification, regression, clustering, dimensionality reduction, model selection, and preprocessing.
Comprehensive repository analysis using Explore agents, web search, and Context7 to investigate codebase structure, technology stack, configuration, documentation quality, and provide actionable insights. Use this skill when asked to analyze, audit, investigate, or report on a repository or codebase. | Exploreエージェント、Web検索、Context7を用いた包括的なリポジトリ分析。コードベース構造、技術スタック、設定、ドキュメント品質を調査し、実用的な洞察を提供。リポジトリやコードベースの分析、監査、調査、レポート作成を依頼された場合に使用。
Stage 2 code quality review. Triggers: 'quality review', 'check code quality', or /review stage 2. Requires spec-review to have passed first. Checks SOLID, DRY, security, and test quality. Do NOT use for spec compliance — use spec-review instead.
Create comprehensive technical roadmaps aligned with business goals. Plan technology investments, architecture evolution, and infrastructure improvements over quarters and years.
Motto: Style counts. Context matters. Story trumps numbers.
Expert at quality-focused code review with security emphasis. Use when reviewing code changes, performing security audits, identifying bugs, ensuring code quality and maintainability, or analyzing pull requests for issues.
Requirements Discovery Specification, applicable to exploratory scenarios, helps users identify high-ROI functional directions when they are confused through role-playing. Automatically triggered, purely conversational inspiration.
Multidisciplinary analytical engine using Charlie Munger's latticework of mental models. Applies cross-disciplinary thinking (math, physics, biology, psychology, economics) to dissect life and business decisions. Use when user presents a decision problem, investment question, or complex analysis request requiring deep rational analysis.
INVOKE THIS SKILL when creating, managing, or querying Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI.
Generate probability-weighted alternative options that challenge default thinking. Forces unconventional alternatives and exposes hidden assumptions behind the "obvious" choice. For decision-point analysis, NOT full design exploration (use brainstorming for that). Triggers on "대안", "alternatives", "옵션 뽑아", "options", "어떤 방법이", "아이디어", "다른 방법", "선택지".
A meta-skill that understands task requirements, dynamically selects appropriate skills, tracks successful skill combinations using agent-memory-mcp, and prevents skill overuse for simple tasks.