Is this suitable for enterprise-level documentation?

Absolutely. This skill was forged from real-world enterprise operations and is designed to handle high-traffic, large-scale data streaming technical records.

How does the document type detection work?

The skill analyzes your input for specific keywords (like 'error', 'bug', 'vs', or 'pattern') to automatically select the highest priority template matching your intent.

Does this skill require specific Obsidian plugins?

Yes, for full functionality it requires Templater and DataView. It also highly recommends Tasks, Advanced Table, and Excalidraw for an enhanced experience.

Can I track my learning progress with this system?

Yes, it uses a standardized status field (seedling, growing, evergreen) and DataView queries to help you monitor and review your technical notes over time.

What templates are included in the Obsidian Tech Note skill?

The system includes 7 specific templates: Tech Concept, Code Lab, Comparison Analysis, Troubleshooting, Architecture Pattern, TIL (Today I Learned), and MOC (Map of Content) Index.

Obsidian Tech Note System

Name: Obsidian Tech Note System
Author: Dokkabei97

byDokkabei97

•

学习与文档

Streamlines technical documentation by automatically generating structured Obsidian notes using specialized templates for code labs, troubleshooting, and architectural patterns.

This skill transforms Obsidian into a high-performance technical learning environment. It leverages a battle-tested template system to help developers systematically capture technical concepts, debug logs, and architectural decisions. By using intelligent keyword detection, the skill automatically selects the appropriate template and populates standardized YAML frontmatter, ensuring your personal knowledge base is easily searchable and ready for advanced DataView queries. It is ideal for engineers who need to maintain rigorous documentation in high-traffic, enterprise-scale environments.

主要功能

012 GitHub stars

02Pre-configured structures for technical comparisons, hands-on tutorials, and 'Today I Learned' reflections.

03Advanced support for Excalidraw diagrams and Tasks plugin for managing review cycles and learning roadmaps.

04Automatic detection of 7 specialized note types including Troubleshooting, Code Labs, and Architecture Patterns.

05Unified YAML frontmatter schema for consistent metadata tracking and status management (Seedling to Evergreen).

06Seamless integration with Templater and DataView for automated date insertion and dynamic index generation.

使用场景

01Conducting deep-dive framework comparisons and architectural analysis during the technology selection process.

02Organizing personal learning progress through Maps of Content (MOC) and automated review schedules.

03Documenting complex debugging sessions and error resolutions for a permanent, searchable troubleshooting database.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dokkabei97/hardened-claude-code obsidian-tech-note

For use in Claude.ai and ChatGPT

主要功能

012 GitHub stars

02Pre-configured structures for technical comparisons, hands-on tutorials, and 'Today I Learned' reflections.

03Advanced support for Excalidraw diagrams and Tasks plugin for managing review cycles and learning roadmaps.

04Automatic detection of 7 specialized note types including Troubleshooting, Code Labs, and Architecture Patterns.

05Unified YAML frontmatter schema for consistent metadata tracking and status management (Seedling to Evergreen).

06Seamless integration with Templater and DataView for automated date insertion and dynamic index generation.

使用场景

01Conducting deep-dive framework comparisons and architectural analysis during the technology selection process.

02Organizing personal learning progress through Maps of Content (MOC) and automated review schedules.

03Documenting complex debugging sessions and error resolutions for a permanent, searchable troubleshooting database.