$ skills --list
Parcourir et découvrir les skills d'agents IA
/
Parcourir et découvrir les skills d'agents IA
Showing 43101-43120 of 44358 skills
Organize your 04-workspace/ folder structure. Load when user mentions: setup workspace, organize folders, folder structure, configure workspace, my files, file organization, where to put files, workspace setup, directories, storage. 5-8 min.
Expert in merging financial data of different frequencies (daily, monthly, quarterly, annual). Use when students need to combine datasets with mismatched time intervals, such as merging daily prices with quarterly fundamentals, or monthly returns with annual financial statements.
Senior SQL developer for query optimization and complex patterns. Use for PostgreSQL, MySQL, SQL Server.
Use when searching commit history across GitHub repositories - provides syntax for filtering by author, committer, dates, hashes, and merge commits with proper exclusion handling
Use when executing implementation plans with independent tasks in the current session
Capture solved problems as categorized documentation with YAML frontmatter for fast lookup
Deploy current develop branch to production. Use when user says /deploy, "deploy to production", "push to heroku", "release to production", "deploy changes", "ship it", or "release changes". Commits changes, pushes develop, merges to main, creates version tag, pushes to GitHub and Heroku, then returns to develop branch.
Auditar produtores/consumidores Kafka reativos, tópicos, secrets e observabilidade para os fluxos de resultados.
Pre-implementation confidence assessment to prevent wrong-direction execution. Automatically invoked for complexity score ≥15. Performs 5 weighted checks (no duplicate implementations 25%, MetaSaver pattern compliance 25%, architecture verified 20%, similar implementations found 15%, requirements clear 15%). Requires ≥90% confidence to proceed, 70-89% triggers clarification, <70% stops execution. ROI of 25-250x token savings by catching misaligned work early. Use when complexity score ≥15 to validate implementation direction before spawning agents.
Expert assistant for Kumo's Query Module (src/features/query). Use when working with SQL Editor, Monaco editor integration, query execution, result grids, tabs management, AI features, or any query-related components. Provides architecture patterns, component APIs, hooks, utilities, and examples.
Создание интерактивных HTML-документов для юридических и аналитических материалов — резюме арбитражных решений, процессуальных приказов, отчётов, аналитических записок. Использовать для создания красивых mobile-first HTML-документов с аккордеонами, таймлайнами, навигацией и профессиональным дизайном в сине-золотой цветовой гамме.
Use after completing a session to identify genuine learnings from mistakes, corrections, or rework - focuses only on patterns that were actually wrong, not things that worked correctly the first time
Intelligent documentation system for AI Elements component library. Activate automatically when working with AI-native applications or when AI Elements component names are mentioned (Message, Conversation, Reasoning, Canvas, etc.). Provides context-aware documentation retrieval - fetches examples for implementation queries, component references for API lookups, and smart multi-page fetching for complex tasks.
Verify that implemented code meets acceptance criteria from user stories. Use when validating story completion - performs code inspection, test execution, and manual checks against each AC criterion.
Configure activity grid heatmaps in drizzle-cube dashboards for GitHub-style contribution visualizations. Use when creating activity grids, heatmaps, contribution calendars, or daily activity patterns.
Set up synthetic monitoring with Lighthouse CI and Playwright. Use when implementing automated performance testing, CI/CD performance gates, or proactive monitoring.
Create a new Next.js project with FSD (Feature-Sliced Design) architecture, TypeScript, Tailwind CSS, ESLint (flat config), Prettier, and Husky. Use when user asks to create/scaffold/initialize a Next.js project with FSD architecture, or when they want a production-ready Next.js boilerplate with modern tooling setup.
Research product compositions using AI and web sources. Use when needing to find what products, substances, or objects are made of - including ingredients, materials, chemicals, and elements. Essential for building composition data.
Farm out AI tasks via Named Pipe to get isolated context. Use when processing large files, batch summarization, or to avoid context pollution. Each call runs in fresh context.
Data engineering, ETL pipelines, data warehousing, and analytics. Master data infrastructure and pipeline design.