Total 51,021 skills
Showing 12 of 51021 skills
GitLab group operations via API. ALWAYS use this skill when user wants to: (1) list/view groups, (2) create/update/delete groups, (3) manage group members, (4) list subgroups or group projects, (5) share projects with groups.
Individual project health assessment skill for evaluating project status across multiple dimensions. Provides early warning of troubled projects.
Execute Solana token trades - market orders, limit/pending orders, copy trading, and order management. Use when user wants to "buy tokens", "sell tokens", "place order", "cancel order", "check order status", "copy trade", "follow wallet", or execute any trading operation.
Coding rules generator — Extract and generate coding-rules.md from project conventions. Scans CLAUDE.md, AGENTS.md, config files, existing source code, and installed skills to produce a unified coding-rules.md that spec-implement uses as a quality gate. English triggers: "Generate coding rules", "Create coding-rules.md", "Extract project rules" 日本語トリガー: 「コーディングルールを生成」「coding-rules.mdを作成」「プロジェクトルールを抽出」
This skill should be used when the user requests actions such as 'review code', 'do a code review', 'review my branch', 'review MR !1234', or 'review PR'
This skill should be used when the user asks to "manage review skills config", "update review skills", "discover review skills", "manage review presets", "validate review config", or mentions managing code review skills configuration. Use for configuration management tasks.
Provide concrete examples—existing code patterns, style samples, input/output pairs—to guide AI toward your project's conventions
Debug Angular applications systematically with expert-level diagnostic techniques. This skill provides comprehensive guidance for troubleshooting dependency injection errors, change detection issues (NG0100), RxJS subscription leaks, lazy loading failures, zone.js problems, and common Angular runtime errors. Includes structured four-phase debugging methodology, Angular DevTools usage, console debugging utilities (ng.probe), and performance profiling strategies for modern Angular applications.
Refactor Spring Boot and Java code to improve maintainability, readability, and adherence to enterprise best practices. This skill transforms messy Spring Boot applications into clean, well-structured solutions following SOLID principles and Spring Boot 3.x conventions. It addresses fat controllers, improper transaction boundaries, field injection anti-patterns, and scattered configuration. Leverages Java 21+ features including record patterns, pattern matching for switch, virtual threads, and sequenced collections.
Debug Scikit-learn issues systematically. Use when encountering model errors like NotFittedError, shape mismatches between train and test data, NaN/infinity value errors, pipeline configuration issues, convergence warnings from optimizers, cross-validation failures due to class imbalance, data leakage causing suspiciously high scores, or preprocessing errors with ColumnTransformer and feature alignment.
Refactor React and TypeScript code to improve maintainability, readability, and performance. This skill transforms complex React components into clean, well-structured code following modern React 19 patterns. It addresses component bloat, prop drilling, unnecessary re-renders, and improper hook usage. Leverages React 19 features including the React Compiler for automatic memoization, Actions for form handling, useOptimistic for immediate UI feedback, the use() hook for async data, and Server Components for optimal performance.
Refactor Pandas code to improve maintainability, readability, and performance. Identifies and fixes loops/.iterrows() that should be vectorized, overuse of .apply() where vectorized alternatives exist, chained indexing patterns, inplace=True usage, inefficient dtypes, missing method chaining opportunities, complex filters, merge operations without validation, and SettingWithCopyWarning patterns. Applies Pandas 2.0+ features including PyArrow backend, Copy-on-Write, vectorized operations, method chaining, .query()/.eval(), optimized dtypes, and pipeline patterns.