메뉴
Design and build data pipelines for ingestion, transformation, and storage. Invoke for: "data pipeline", "ETL", "data ingestion", "process this data", "batch processing", "stream processing", "data transformation", "data workflow".
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Accessibility audit against WCAG 2.1 AA standards. Invoke for: "accessibility", "a11y", "WCAG", "screen reader", "aria labels", "color contrast", "keyboard navigation", "accessibility audit", "ADA compliance".
Write Architecture Decision Records (ADRs) to document significant technical decisions. Invoke for: "write ADR", "document this decision", "architecture decision record", "why did we choose X", "decision log", "record this choice", "ADR for".
Design and implement multi-agent orchestration systems. Invoke for: "multi-agent system", "orchestrate agents", "agent pipeline", "agent workflow", "how should agents communicate", "agent coordination", "task delegation to agents", "build an agent system".
AI safety review: alignment, misuse prevention, bias, fairness, and responsible AI. Invoke for: "AI safety review", "bias check", "fairness audit", "alignment", "responsible AI", "misuse prevention", "AI ethics", "safety guardrails", "could this AI system be misused".
LLM and AI agent security: prompt injection, jailbreaks, agent defense, guardrails. Invoke for: "prompt injection", "LLM security", "agent security", "jailbreak defense", "AI safety audit", "system prompt leakage", "adversarial inputs", "AI pipeline security", "tool call validation", "LLM guardrails", "model security", "is my prompt safe".
Improve algorithmic efficiency — find better algorithms and data structures. Invoke for: "algorithm improvement", "better algorithm", "O(n²) is too slow", "data structure choice", "optimize this loop", "algorithmic complexity", "time complexity".
| name | data-pipeline |
| description | Design and build data pipelines for ingestion, transformation, and storage. Invoke for: "data pipeline", "ETL", "data ingestion", "process this data", "batch processing", "stream processing", "data transformation", "data workflow". |
| argument-hint | data source and target transformation |
| allowed-tools | Read, Write, Edit, Glob |
Category: Optimization/Research
Design reliable, observable data pipelines with proper error handling, retry logic, and data validation.
Complete Python pipeline with:
/data-pipeline build pipeline to ingest research papers from data/research/ → embeddings → data/embeddings/
