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obsidian-data-importerObsidian 数据 importer

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

148

周安装

6

GitHub Stars

公开资料未说明

下载量

47
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:obsidian-data-importer(Obsidian 数据 importer)
来源仓库:https://github.com/zpankz/mcp-skillset
仓库路径:skills/obsidian-data-importer
安装命令:
npx skills add zpankz/mcp-skillset --skill "obsidian-data-importer"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add zpankz/mcp-skillset --skill "obsidian-data-importer"

简介

用于辅助数据整理、表格处理和指标计算。

  • 适合让 Agent 清洗字段、
  • 汇总数据或生成统计口径。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 使用时需确认数据来源和时间范围, 避免把样本当全量事实。obsidian-data-importer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
obsidian-data-importer
description
Transform structured external data (CSV/JSON) into Obsidian's linked knowledge system while preserving semantic relationships, optimizing graph structure, and preventing data corruption through systematic validation and YAML-safe template generation.Enables seamless knowledge transfer from databases, spreadsheets, and APIs into personal knowledge management, maintaining referential integrity and facilitating emergence of insights through networked thought.

Obsidian Data Importer

Activation Conditions

This skill activates when:

  • User uploads or provides CSV/JSON data files
  • User requests Obsidian import assistance
  • User mentions "Handlebars", "JSON/CSV Importer", "bulk import", or "data import"
  • User wants to create multiple Obsidian notes from structured data

Quick Start (3 Steps)

For immediate use:

  1. Provide your data - Upload CSV/JSON file or paste content
  2. Confirm mapping - Review proposed field assignments
  3. Receive template - Get complete Handlebars template + instructions

Simple example: 01-task-list-csv

System Architecture

obsidian-data-importer/
├── core/              → Processing engines (5 phases + 4 modules)
├── knowledge/         → Reference documentation (syntax, types, errors)
├── templates/         → Pattern library (8 templates + partials)
└── examples/          → Complete demonstrations (12 workflows)

Component Diagram

[Data Input]
    ↓
[DataParser] ──→ [FieldAnalyzer] ──→ [TemplateGenerator] ──→ [Validator]
    ↓                ↓                      ↓                    ↓
 Parsed         Field Inventory        Template String      Validation
  Structure                                                   Report
                                           ↓
                                   [InstructionComposer]
                                           ↓
                                    Complete Package

Workflow Overview

The system executes in 5 sequential phases:

PhasePurposeDocumentationOutput
1. IngestionParse & analyze data structurePhase 1Field inventory
2. StrategyMap fields & select patternPhase 2Mapping decisions
3. ConstructionGenerate Handlebars templatePhase 3Template string
4. ValidationVerify syntax & preview outputPhase 4Validation report
5. DeliveryPackage with instructionsPhase 5Complete deliverable

Process Flow:

CSV/JSON → Parse → Analyze → Map → Generate → Validate → Deliver

Module Reference

Core Processing Modules

ModuleResponsibilityDocumentationKey Functions
DataParserInput format handlingdata-parser.mdparseCSV(), parseJSON()
FieldAnalyzerType inference & analysisfield-analyzer.mdinferType(), detectIssues()
TemplateGeneratorHandlebars constructiontemplate-generator.mdbuildTemplate(), escapeYAML()
ValidatorSyntax & correctness checkingvalidator.mdvalidateYAML(), testRender()

Knowledge Base

TopicContentDocumentation
YAML SafetyCharacter escaping, quoting strategiesyaml-safety.md
Handlebars SyntaxVariables, conditionals, iterationhandlebars-syntax.md
Type MappingDetection algorithms, strategiestype-mapping.md
Error ResolutionCommon problems & solutionserror-resolution.md
Best PracticesOptimization guidelinesbest-practices.md

Template Library

Base Templates

Domain-Specific Templates

Template Composition: All templates use modular partials from templates/partials/ for maximum reusability.

Common Tasks (Quick Recipes)

TaskComplexityExampleDuration
Import simple CSV01-task-list-csv3 min
Handle special characters⭐⭐02-contacts-csv5 min
Process nested JSON⭐⭐⭐04-nested-json-projects10 min
Fix YAML errors⭐⭐10-special-chars-fix5 min
Link entities⭐⭐⭐08-complex-relationships15 min

Examples by Complexity

Simple (Start Here)

Intermediate

Advanced

Troubleshooting

Integration & Extensions

Complementary Obsidian Plugins

  • Templater - Post-import transformations and computed fields
  • Dataview - Query and aggregate imported data
  • QuickAdd - Manual data entry workflows
  • Metadata Menu - Interactive frontmatter management
  • Tag Wrangler - Hierarchical tag organization

Extending This Skill

  1. Add custom templates - Place in templates/ with metadata
  2. Create domain patterns - Model specific industries or use cases
  3. Build preprocessors - Transform data before import
  4. Develop validators - Add custom validation rules
  5. Share examples - Contribute to examples library

Graph Structure Optimization

  • Use [[Wikilinks]] for entities that should become nodes
  • Create MOCs (Maps of Content) for large imports
  • Apply hierarchical tags (e.g., project/alpha/task-001)
  • Standardize date formats (ISO 8601)
  • Preserve source URLs for traceability

Capabilities & Boundaries

✅ What This Skill Does

  • Parse CSV and JSON data structures
  • Analyze fields with type inference
  • Generate YAML-safe Handlebars templates
  • Validate syntax and preview output
  • Provide complete usage instructions
  • Suggest graph optimization strategies

❌ What This Skill Does NOT Do

  • Perform the actual import (requires user + plugin)
  • Modify source data files
  • Install or configure the plugin
  • Post-process notes after import
  • Fix corrupted YAML in existing notes
  • Real-time data synchronization

User Responsibilities

  • Install JSON/CSV Importer plugin in Obsidian
  • Save generated template to vault
  • Execute import through plugin interface
  • Review imported notes for accuracy
  • Perform any post-import cleanup

Execution Mode

When data is provided, the system automatically:

  1. Detects format (CSV vs JSON)
  2. Parses structure and analyzes fields
  3. Generates field inventory with recommendations
  4. Proposes template pattern based on data characteristics
  5. Requests confirmation of field mappings
  6. Constructs template with YAML safety
  7. Validates syntax and generates preview
  8. Delivers package with instructions

Response Format:

## 📊 Data Analysis

[Field inventory table with types and recommendations]

## 🎯 Recommended Approach

Pattern: [Selected template]
Note Names: [Field for filenames]
Target Folder: [Suggested location]

## ⚠️ Warnings

[Special character issues, data quality concerns]

## ✨ Template

[Complete Handlebars template with documentation]

## 👁️ Preview

[Sample output from first data row]

## 📋 Instructions

[Step-by-step import procedure]

## 🔧 Troubleshooting

[Common issues and solutions]

Metadata

Version: 2.0.0 (Modular Architecture) Created: October 2025 Compatibility: Obsidian + JSON/CSV Importer plugin Complexity Level: Intermediate to Advanced Skill Type: Data transformation & template generation

Prerequisites:

  • Obsidian (any recent version)
  • JSON/CSV Importer plugin by "filing 42"
  • Basic understanding of YAML frontmatter
  • Familiarity with Markdown

External Resources:

Version History

See CHANGELOG.md for detailed version history.

Support & Contribution

For Issues:

To Contribute:

  • Add examples to demonstrate new patterns
  • Submit custom templates for specific domains
  • Report edge cases or issues
  • Improve documentation clarity

Reception & Usage

Skill Activation: Simply provide your CSV or JSON data, and the system will immediately begin analysis and template generation.

No explicit invocation required - the skill recognizes data files and structured content automatically.

For best results: Include complete data samples (not fragments) so field analysis can be accurate.

Ready to import your data into Obsidian? Provide your file or paste your data to begin.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

windsurf

34.86%
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26.74%
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kiro-cli

19.41%
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Codex

11.73%
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Claude Code

5.38%
按下载量换算3

安全审计

暂无安全审计结果可展示。

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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