| name | trend-tracker |
| description | Standards for efficient information gathering and synthesis. Focuses on speed, summarization, and archival. |
Trend Tracker Standards (Quick Efficiency)
Purpose
To rapidly process new information (Trends, News, Tools) and convert it into accessible knowledge assets without the overhead of deep mastery.
Core Philosophy: "Capture & Archive"
The goal isn't to master the topic now, but to know it exists and know where to find it later.
Core Strategies
1. ⚡ Scan & Filter
"Identify the signal in the noise."
- Action: Quickly skim headers, code snippets, and conclusions.
- Decision: Is this relevant to my current or future work? If yes, proceed. If no, discard.
2. 📝 3-Line Summary
"Constraint breeds clarity."
- Rule: Summarize the core value proposition in exactly 3 bullet points.
- What: What is it? (e.g., A new Python linter)
- Why: Why is it important? (e.g., It's 10x faster due to Rust)
- How: How do I use/install it? (e.g.,
pip install ruff)
3. 🗄️ Archival
"Knowledge is useless if you can't find it."
- Action: Save the summary to Obsidian (
20_Learning/Trends/orInbox). - Tagging: Must include tags for retrieval (e.g.,
#tool,#ai,#python).
Quality Gate
Before marking a session as "Complete", you must verify:
- Summary: 3 concise bullet points?
- Link: Source URL included?
- Tags: Relevant tags added?
- Archive: Saved to the correct location?