designnotdrum Personalized Trend Digest (Subagent-Driven)
This skill dispatches a Haiku subagent to generate your personalized trend briefing. Main context receives a curated narrative; subagent does the analysis.
Architecture
You (Opus) → Dispatch Haiku subagent → Subagent calls radar tools → Returns narrative
← Personalized briefing ← Raw signals processed
How to Use
When user asks for trends, digest, or wants to know what's happening:
Step 1: Dispatch Digest Subagent
Use Task tool:
- subagent_type: "general-purpose"
- model: "haiku"
- prompt: "You are a personalized trend analyst. Generate a trend briefing for the user.
STEPS:
1. Call get_radar_digest() to fetch signals from HN and GitHub
2. Call get_intersections() to find domain overlaps
3. Call suggest_actions(focus: 'all') for actionable recommendations
OUTPUT FORMAT:
Return a 300-400 word personalized briefing with these sections:
## 🎯 Relevant to You
[2-3 patterns directly matching user's domains, with why they matter]
## 🌟 Wildcards (Serendipity)
[1-2 interesting signals OUTSIDE user's usual domains - unexpected discoveries]
## 💡 Suggested Actions
[2-3 specific actions: something to learn, something to build, something to explore]
Keep it conversational and actionable. Include specific links where helpful."
Step 2: Present the Briefing
Tell the user the subagent's narrative. Don't dump raw signal lists.
Serendipity Mode (Default)
IMPORTANT: Always include the Wildcards section. The whole point of pattern-radar is surfacing unexpected connections.
If user explicitly asks for "focused mode" or "only my domains":
- Skip the Wildcards section
- Mention: "I've filtered to just your domains. Say 'full digest' to include wildcards."
Quick Scan (Direct)
For quick topic scans, use tools directly (no subagent needed):
scan_trends(topic: "WebAssembly")
This returns raw signals - useful when user wants to explore a specific topic themselves.
Configuration
Help users configure their radar:
configure_sources(domains: ["TypeScript", "AI", "distributed-systems"])
Or for source weights:
configure_sources(hackernews_weight: 1.5, github_weight: 1.0)
Example Flow
User: What's trending that I should know about?
You: Let me generate your personalized trend digest...
[Dispatch Haiku subagent]
Subagent returns:
## 🎯 Relevant to You
**Edge Runtime Performance** is heating up - 3 HN discussions and 2 trending repos
about V8 isolates and cold start optimization. Given your TypeScript + serverless
background, this could affect your Lambda work.
**AI Code Review Tools** are seeing a surge. GitHub Copilot competitors like
Cursor and Continue are trending. Worth watching for your code-review plugin work.
## 🌟 Wildcards
**Game Engine Renaissance** - Godot 4.3 just dropped and HN is buzzing. Not your
usual domain, but the architectural patterns (ECS, hot-reload) might inspire
plugin design.
## 💡 Suggested Actions
- **Learn:** Read the Cloudflare Workers V8 isolate blog post (linked in signals)
- **Build:** Try adding AI-assisted review to your code-review plugin
- **Explore:** Check out Godot's plugin architecture for inspiration
User: Just show me AI stuff, skip the wildcards
You: [Call scan_trends directly]
Here are the AI-specific signals...