A
aliasunder/vault-onboarding
Give your AI agents persistent memory and session continuity in your Obsidian vault — a conversational…
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置(取自该仓库的安装命令)
{
"mcpServers": {
"aliasunder-vault-onboarding": {
"command": "npx",
"args": ["skills"]
}
}
}解析自我们于 2026-11-03 抓取的该仓库 README;我们未执行过。
command/args 来自仓库写明的安装命令;不确定时请以该项目 README 为准。
VS Code(.vscode/mcp.json —— 键名是 servers)
{
"servers": {
"aliasunder-vault-onboarding": {
"command": "npx",
"args": ["skills"]
}
}
}VS Code 顶层键是 <code>servers</code>,其余与上面那份相同。
Claude Code(命令行)
claude mcp add --transport stdio aliasunder-vault-onboarding -- npx skills
Claude Code 不收 JSON 文件,用这条命令直接加。
配置项的键名以你的客户端为准:客户端与 CLI
- ★ 数取值
- 2 ★ · aliasunder/vault-onboarding · 取自 GitHub 搜索 API · (2026-11-13 20:00:50 核对)
- 来源明细
- 从该仓库的 GitHub 页面直接读取 · 条目类型:开源项目
- 收录与活跃
- 收录于 2026-11-04 · 最近见到 2026-11-14 · 共见到 11 次 · 被 1 个来源列出
- 评分构成
- 综合分 103 · 2 ★ · 1 个来源 · repo
- 安装
npx skills
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是
npx skills。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。它适合谁 / 用来做什么?
我们把它归在这些标签下: Agent 技能。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库
aliasunder/vault-onboarding;我们收录于 2026-11-04;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。# vault-onboarding
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
Bootstrap an agent collaboration system into an Obsidian vault — memory, protocols, task boards, and per-client instruction files via a conversational interview.
> In development — not yet released. The implementation is merged and in validation; a first GitHub release follows once testing passes. See Status.
Works with Claude Code, Cowork, claude.ai, Perplexity, Cursor, GitHub Copilot, and many more.
## Installing
bash
npx skills add aliasunder/vault-onboarding
## What it does
A single conversational interview scaffolds everything you need for structured AI agent collaboration in your Obsidian vault:
Memory files — About Me/ files that give agents persistent knowledge about who you are, what you prefer, and how you work
Session protocol — structured start and end rituals so agents maintain continuity across sessions
Task boards — 5-lane Kanban boards for tracking work with AI agents
Generated skills — session-start, session-end, remember, and project-role skills tailored to your actual vault structure
Client instruction files — generated for each AI tool you use, in the right format for each client's loading contract
Every component is optional. Start with just instruction files (agents know your name and preferences), add memory when you want persistence, add boards when you want task tracking, add the session protocol when you want full continuity.
## How it works
The skill runs a branching interview — it asks what you need and scaffolds only that:
1. Calibration — which AI tools you use, what kind of work you do
2. Identity — name, timezone, how you want agents to work with you
3. Vault setup — detect or create an Obsidian vault
4. Organization — project folders, People/, Reference/, vault conventions (tags, linking, schemas)
5. Memory — About Me/ files seeded with your answers
6. Tasks — Kanban boards with 5 lanes
7. Protocol — session start/end sequences, generated skills
8. Client setup — instruction files for each of your AI tools
9. Verification — walk through everything, test it works
The interview is resumable — stop mid-onboarding and pick up where you left off next session. Resumability begins once the vault checkpoint exists (after the vault-setup phase); answers given before that live only in the conversation.
## Standalone or with vault-cortex
Works without vault-cortex using native file tools. With vault-cortex connected, the generated skills unlock remote access, hybrid search, and semantic memory recall.
## Status
vault-onboarding is in active development and not yet released. The full implementation — interview flow, reference files, asset templates, generated skills — is merged (PR #1) and now in validation. The install command works, but treat it as pre-release until testing passes and a first GitHub release is cut.
> In development — not yet released. The implementation is merged and in validation; a first GitHub release follows once testing passes. See Status.
Works with Claude Code, Cowork, claude.ai, Perplexity, Cursor, GitHub Copilot, and many more.
## Installing
bash
npx skills add aliasunder/vault-onboarding
## What it does
A single conversational interview scaffolds everything you need for structured AI agent collaboration in your Obsidian vault:
Memory files — About Me/ files that give agents persistent knowledge about who you are, what you prefer, and how you work
Session protocol — structured start and end rituals so agents maintain continuity across sessions
Task boards — 5-lane Kanban boards for tracking work with AI agents
Generated skills — session-start, session-end, remember, and project-role skills tailored to your actual vault structure
Client instruction files — generated for each AI tool you use, in the right format for each client's loading contract
Every component is optional. Start with just instruction files (agents know your name and preferences), add memory when you want persistence, add boards when you want task tracking, add the session protocol when you want full continuity.
## How it works
The skill runs a branching interview — it asks what you need and scaffolds only that:
1. Calibration — which AI tools you use, what kind of work you do
2. Identity — name, timezone, how you want agents to work with you
3. Vault setup — detect or create an Obsidian vault
4. Organization — project folders, People/, Reference/, vault conventions (tags, linking, schemas)
5. Memory — About Me/ files seeded with your answers
6. Tasks — Kanban boards with 5 lanes
7. Protocol — session start/end sequences, generated skills
8. Client setup — instruction files for each of your AI tools
9. Verification — walk through everything, test it works
The interview is resumable — stop mid-onboarding and pick up where you left off next session. Resumability begins once the vault checkpoint exists (after the vault-setup phase); answers given before that live only in the conversation.
## Standalone or with vault-cortex
Works without vault-cortex using native file tools. With vault-cortex connected, the generated skills unlock remote access, hybrid search, and semantic memory recall.
## Status
vault-onboarding is in active development and not yet released. The full implementation — interview flow, reference files, asset templates, generated skills — is merged (PR #1) and now in validation. The install command works, but treat it as pre-release until testing passes and a first GitHub release is cut.
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
[](https://anclum.com/zh/s/aliasunder-vault-onboarding/)
- 来源
- github · https://github.com/aliasunder/vault-onboarding
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- Agent 技能
- Traction
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