4.1 KiB
4.1 KiB
2026-01-07
Capture
kepanoobsidian-skills Claude Skills for Obsidian
安装文档有问题，需要手动安装
AI Agent Systems Architectures, Applications, and Evaluation
Adaption of Agentic AI
### github .com/pat-jj/Awesome-Adaptation-of-Agentic-AI/blob/main/paper.pdf
Daily Review - 2026-01-07
Accomplished
- ✓ Captured 3 web clippings on AI agents and Obsidian tooling
- ✓ Documented Nikki/OpenWrt installation guide for Clash proxy upgrade
- ✓ Set up Memvid memory system for vault semantic search
- ✓ Researched Claude Skills for Obsidian integration (noted installation issues)
Progress Made
- 02_Areas/GFW: Advanced network infrastructure - documented Nikki installation guide, explored hotspot upgrades via TAP device
- 01_Projects/AI-Development: Collected comprehensive AI agent systems survey (arXiv 2601.01743v1) covering architectures, reasoning, planning, evaluation
- 03_Resources: Added Obsidian integration resources (kepano's skills plugin) and Nano Banana pro prompt examples
- Vault Infrastructure: Installed Memvid MCP for semantic memory search across notes
Insights
- AI Agent Architecture Evolution: Modern agent systems balance latency vs accuracy, autonomy vs controllability, and capability vs reliability - critical trade-offs for practical deployment
- Obsidian Extensibility Gap: kepano's skills plugin has documented marketplace installation issues; manual git submodule installation may be more reliable
- Network Proxy Modernization: Nikki (MihomoTProxy successor) provides cleaner OpenWrt integration with nftables support, replacing legacy iptables solutions
- Semantic Memory for PKM: Memvid enables vector-based semantic search across vault content, complementing traditional keyword/tag retrieval
Questions
- How can I implement multi-agent coordination patterns from the AI Agent Systems paper in practical Claude Code workflows?
- What are the specific breaking points in the Obsidian skills plugin marketplace installation?
- Can Nikki's TProxy work with existing Clash subscription formats without migration?
- What's the optimal strategy for populating vault memory - batch import or selective curation?
- How to integrate Memvid search into daily research workflows?
Connections
- kepanoobsidian-skills Claude Skills for Obsidian ↔ CLAUDE.md - Plugin could enhance vault-native AI workflows
- AI Agent Systems Architectures, Applications, and Evaluation ↔ 01_Projects/AI-Development - Taxonomy framework applies to current development patterns
- 02_Areas/GFW/Clash-Hotspot-Upgrade ↔ 02_Areas/Network & VPN - TAP device approach relevant for broader network configs
- Memvid semantic memory ↔ 06_Metadata - New capability layer for cross-vault knowledge retrieval
- ZeroLuawesome-nanobanana-pro ↔ 03_Resources - Prompt engineering examples for image generation workflows
For Tomorrow
Top 3 Priorities
- Process Inbox: Move clippings to appropriate PARA locations - AI paper to Resources, network guides to Areas/GFW
- Test Obsidian Skills Plugin: Validate manual installation steps and document workarounds in setup guide
- Populate Vault Memory: Add 5-10 key resource notes to Memvid for semantic search validation
Open Loops
- Add YAML frontmatter to new clippings when processing (created, tags, status fields)
- Review 02_Areas/GFW/Bills for upcoming payment schedules
- Download full PDF of AI Agent Systems paper (2601.01743) for detailed analysis
- Test Nikki installation on staging OpenWrt device before production deployment
- Create dedicated note for "Adaption of Agentic AI" paper link captured today
- Organize Nano Banana pro prompts into structured resource note
Completed: 2026-01-07 evening | Next review: 2026-01-08 morning