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Found 1,030 Skills
Generate type scales, color palettes, spacing systems, WCAG contrast checks, and dark mode derivations with math. Use when setting up a design system, creating tokens, or building a Tailwind/CSS theme. Outputs CSS custom properties, Tailwind config, or JSON tokens.
Expert data engineer for ETL/ELT pipelines, streaming, data warehousing. Activate on: data pipeline, ETL, ELT, data warehouse, Spark, Kafka, Airflow, dbt, data modeling, star schema, streaming data, batch processing, data quality. NOT for: API design (use api-architect), ML training (use ML skills), dashboards (use design skills).
프로젝트 컨텍스트를 파악한 뒤 전문가 관점으로 코드 리뷰하고, 사용자 승인 후 Agent Team SPAWN으로 병렬 개선 작업을 수행합니다. 트리거: 코드리뷰, 코드 리뷰, code review, 리뷰해줘, 리팩토링, 코드검토, PR 리뷰, 변경사항 검토.
Comprehensive codebase research skill. Documents codebase as-is by spawning parallel sub-agents and synthesizing findings into research documents.
Manage Confluence spaces for project documentation. Create, list, and delete spaces with templates. Use when setting up project documentation structure or managing Confluence content areas.
Use when generating multiple curriculum-aligned concept files in parallel (5+ concepts) - researches curriculum, creates concept list, spawns parallel generation agents, orchestrates review loop until all pass
Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
Create and customize MoonShine color palettes using OKLCH color space for light and dark themes. Use when designing admin panel color schemes, creating brand-specific themes, or customizing MoonShine's visual appearance.
Adopt multiple expert personas sequentially for complex problem analysis from diverse perspectives. Single-agent only — do NOT spawn sub-agents.
Inspect observation space and inventory encoding.
Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or the loop cap is reached. Use when: implementing features from a spec or plan, hardening existing code, fixing a batch of issues, or any multi-file task that benefits from a build-verify-fix cycle.
Create, manage, and execute agent tools (claude, codex) inside Docker sandboxes for isolated code execution. Use when running agent loops, spawning tool subprocesses, or any task requiring process isolation. Triggers on "sandbox", "isolated execution", "docker sandbox", "safe agent execution", or when working on agent loop infrastructure.