Agent Skills: spatialdata-io-docs-local
SpatialData-IO 空间数据I/O工具包 - 100%覆盖85个核心文件（20个空间平台+6个API+6个CLI+53个生成器文档）
ID: Ketomihine/my_skills/spatialdata-io-docs-local
3
Install this agent skill to your local
Skill Files
The files that make up spatialdata-io-docs-local.
More agent skills
- lmms-eval-guideGuides AI coding agents through the lmms-eval codebase - a unified evaluation framework for Large Multimodal Models (LMMs). Use when integrating new models, adding evaluation tasks/benchmarks, running YAML config-driven evaluations, orchestrating non-blocking training-time evaluation via the HTTP eval server, or navigating the evaluation pipeline architecture.
- podcast-generationGenerate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.
- post-implementation-reviewReview cumulative implementation for structural collapse, invariant ownership, and correctness. Use for reviewing work after implementation, doing a second pass, or performing a final sweep. Independent structural verdicts belong to adversarial-review.
- review-security-reportReview FastMCP vulnerability reports before accepting, rejecting, patching, scoring, or publishing them. Use for security advisories, bug-bounty submissions, OAuth or MCP vulnerability claims, and proposed security fixes.
- fastapiFastAPI Python framework. Covers REST APIs, validation, dependencies, security. Use when building Python web APIs with FastAPI, configuring Pydantic models, implementing dependency injection, or setting up OAuth2/JWT authentication. Keywords: FastAPI, Pydantic, async, OAuth2, JWT, REST API.
- convex-backendConvex backend development guidelines. Use when writing Convex functions, schemas, queries, mutations, actions, or any backend code in a Convex project. Triggers on tasks involving Convex database operations, real-time subscriptions, file storage, or serverless functions.