菜单
Generate developer-first API documentation: OpenAPI 3.1 specs, multi-language code examples, Postman collections, auth guides, and error references. Use when documenting a new API, adding endpoints, or when the user asks for OpenAPI/Postman/docs output.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | api-documenter |
| description | Generate developer-first API documentation: OpenAPI 3.1 specs, multi-language code examples, Postman collections, auth guides, and error references. Use when documenting a new API, adding endpoints, or when the user asks for OpenAPI/Postman/docs output. |
Produce documentation that is accurate, testable, and paste-ready.
For any API, produce the subset the user asks for:
curl; ideally also JavaScript (fetch) and one typed language in use (Python/TS/Go).example and examples liberally in OpenAPI.oneOf / discriminators for polymorphic payloads.Strategy-layer agent planner. Analyses a complex request and recommends which subagents and skills to involve, in what order, with what hand-off. Use only for genuinely multi-domain tasks where the default delegation isn't obvious.
Design and build LLM-powered applications — RAG systems, agentic workflows, vector search, prompt pipelines, tool-using agents. Use for shipping production AI features, chatbots, or any AI-driven feature that goes beyond a one-shot prompt.
Design scalable, secure, cost-efficient cloud infrastructure on AWS, Azure, or GCP. Terraform-first, FinOps-aware, multi-cloud and serverless patterns. Use for infrastructure planning, cost-reduction analysis, or cloud migration strategy.
Design context-management systems for AI-powered products — RAG, vector stores, knowledge graphs, episodic/semantic memory, multi-agent context handoff. Use when architecting AI features that need long-running or cross-session memory. Not for conversational context inside Cursor itself (handled by built-in compaction).
Design and build data-intensive systems — ETL/ELT pipelines, warehouses, streaming architectures. Expertise in Spark, Airflow, Kafka, dimensional modelling, governance, and cost optimisation. Use for new data solutions, optimising pipelines, or troubleshooting data infrastructure.
Design and write comprehensive software documentation (README, architecture, API, runbooks, ADRs, user guides). Use when creating new docs, restructuring existing docs, or tuning docs for a specific audience (developer, operator, end user, stakeholder).