Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.
Machine learning development patterns, model training, evaluation, and deployment. Use when building ML pipelines, training models, feature engineering, model evaluation, or deploying ML systems to production.
Use when asked to review MERN stack code - comprehensive code reviewer that checks project health, security, maintainability, performance, testing, and architecture. Combines general code quality analysis with...
Create, manage, and optimize virtual machines in Proxmox. Control VM lifecycle, monitor performance, adjust resources, and plan VM deployment strategies.
Add new core business logic functions to Catalyst-Relay. Use when creating pure functions, ADT operations, or library-consumable code.
Creates Claude Code skills where each skill is tied to a specialist agent optimized with evidence-based prompting techniques. Use this skill when users need to create reusable skills that leverage specialized a...
Check if code is readable by non-developers - clear names, plain English comments, no jargon
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledg...
Document system architecture and technical design decisions for effective team communication and ...
Manages Supabase database schema, migrations, and queries for CookMode V2. Use this when the user needs to create/modify tables, write migrations, update RLS policies, or troubleshoot database issues.
Manages Plans.md tasks and marker operations. Use when user mentions タスクを追加, Plans.md更新, 完了マーク, タスク状態変更, add task, update plans, mark complete. Do NOT load for: 実装作業, レビュー, Plans.md...
Build interactive AI chat widgets with buttons, forms, and bidirectional actions. Use when creating agentic UIs with clickable widgets, entity tagging (@mentions), composer tools, or server-handled widget actio...
Expert at writing high-quality documentation for code, APIs, and projects. Auto-invokes when generating docstrings, creating README files, writing API documentation, adding code comments, or producing any techn...
End-to-end agent development process. Use when coordinating work, dispatching agents, or reviewing PRs.
Advanced Git operations and workflows including interactive rebasing, conflict resolution, history manipulation, bisecting for bugs, cherry-picking, reflog recovery, and branch management strategies. Use for: (...
Python library for scraping Twitter/X data using GraphQL API with account rotation and session management. Use when extracting tweets, user profiles, followers, trends, or building social media monitoring tools...
Generate comprehensive onboarding documentation and guides for new developers joining your team o...
This skill should be used when the user requests a code review of changed files. Use this to review git-diffed files for security vulnerabilities (OWASP Top 10), performance issues (O(N) complexity, ORM optimiz...
执行数学计算，支持基本运算和复杂表达式
Guides VibeCoder (non-technical users) through natural language development (legacy). Use when user mentions どうすればいい, 次は何, 使い方, 困った, help, what should I do. Do NOT load for: 技術者向け作業, 直接...
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning. Coordinates planner, issue-tracker, and project-board-sync agents to automate issue...
Verification discipline for completion claims. Use when about to assert success, claim a fix is complete, report tests passing, or before commits and PRs. Enforces evidence-first workflow.
Testing patterns for React with Jest and React Testing Library. Use when writing tests, mocking modules, testing Zustand stores, or debugging test failures in React web applications.
Auto-invoke when reviewing authentication, authorization, input handling, data exposure, or any user-facing code. Enforces OWASP top 10 awareness and security-first thinking.
Generate pedagogically-aligned slide decks from educational content using NotebookLM. Use when creating chapter slide presentations with proficiency-calibrated prompts. NOT for static slides or non-educational...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.