菜单
Query Île-de-France Mobilités (IDFM) PRIM/Navitia for place resolution, journey planning, and disruptions/incident checks. Use when asked to find routes in Île-de-France (e.g., "itinéraire de X à Y"), resolve station/stop ids, or check RER/metro line disruptions, and you have an IDFM PRIM API key.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
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。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/duclm1x1/Dive-Ai --skill idfm-journey命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
基于 SOC 职业分类
正在显示 SKILL.md
| name | idfm-journey |
| description | Query Île-de-France Mobilités (IDFM) PRIM/Navitia for place resolution, journey planning, and disruptions/incident checks. Use when asked to find routes in Île-de-France (e.g., "itinéraire de X à Y"), resolve station/stop ids, or check RER/metro line disruptions, and you have an IDFM PRIM API key. |
Use the bundled script to call PRIM/Navitia endpoints without extra dependencies.
IDFM_PRIM_API_KEY in the environment before running.Run from anywhere (path is inside the skill folder):
Resolve places (best match + list):
python3 scripts/idfm.py places "Ivry-sur-Seine" --count 5Journeys (free-text from/to; resolves place ids first):
python3 scripts/idfm.py journeys --from "Ivry-sur-Seine" --to "Boulainvilliers" --count 3Incidents / disruptions (by line id or filter):
python3 scripts/idfm.py incidents --line-id line:IDFM:C01727python3 scripts/idfm.py incidents --filter 'disruption.status=active'Add --json to print raw API output.
--count and choose the right stop_area id.references/idfm-prim.md.