feat: Add parallel research agents with Judge synthesis
- Deploy 3 agents in parallel: Reddit+X, WebSearch, Backup WebSearch - Add visual progress indicators (🟠🔵🌐) - Add Judge Agent to synthesize all sources - Include web authors in top voices (e.g., "John on Medium") - Weight Reddit/X higher than WebSearch (engagement signals) Makes the research feel magical with parallel execution. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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@@ -74,39 +74,59 @@ echo "Please edit it to add your API keys, then run the skill again."
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---
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## Research Execution
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## Research Execution: Three Parallel Agents
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Run the research orchestrator with the TOPIC.
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**Display this to the user immediately:**
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```
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🚀 Deploying research agents...
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├─ 🟠 Reddit Agent: Scanning subreddits for discussions...
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├─ 🔵 X Agent: Following the conversation on X...
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└─ 🌐 Web Agent: Searching blogs, docs, and news...
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```
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**Run all three agents IN PARALLEL:**
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**Agent 1: Reddit + X** (via Python script)
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```bash
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python3 ~/.claude/skills/last30days/scripts/last30days.py "$ARGUMENTS" --emit=compact 2>&1
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```
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**Agent 2: WebSearch** (run simultaneously using WebSearch tool)
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Search for: `{TOPIC} 2026` (or current year)
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- Find 8-15 high-quality web pages
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- EXCLUDE reddit.com, x.com, twitter.com (covered by Agent 1)
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- INCLUDE: blogs, tutorials, docs, news, GitHub repos
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**Agent 3: Backup WebSearch** (different angle)
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Search for: `{TOPIC} best practices tutorial guide`
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- Find 5-10 additional sources
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- Focus on how-to content and authoritative guides
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**Depth options** (passed through from user's command):
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- `--quick` → Faster, fewer sources (8-12 each)
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- (default) → Balanced (20-30 each)
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- `--deep` → Comprehensive (50-70 Reddit, 40-60 X)
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```bash
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python3 ~/.claude/skills/last30days/scripts/last30days.py "$ARGUMENTS" --include-web --emit=compact 2>&1
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```
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---
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## WebSearch Execution
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## Judge Agent: Synthesize All Sources
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**CRITICAL**: After the Python script completes, if you see `### WEBSEARCH REQUIRED ###` in the output, you MUST use your WebSearch tool to find additional sources.
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**After all agents complete, display:**
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```
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✅ All agents reported back
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├─ Reddit Agent: Found {n} threads
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├─ X Agent: Found {n} posts
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└─ Web Agent: Found {n} pages
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**WebSearch query**: Use the TOPIC to search for recent content (last 30 days).
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⚖️ Judge Agent: Synthesizing insights...
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```
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**What to search for**:
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- Blog posts, tutorials, documentation about {TOPIC}
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- News articles, announcements
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- Technical guides, best practices
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**What to EXCLUDE** (already covered by Reddit/X):
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- reddit.com URLs
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- x.com or twitter.com URLs
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**How many**: Find 8-15 high-quality, relevant web pages.
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**After searching**: Include the WebSearch results in your synthesis. WebSearch results supplement Reddit/X but should be weighted LOWER (they lack engagement metrics like upvotes/likes that indicate community validation).
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**The Judge Agent must:**
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1. Weight Reddit/X sources HIGHER (they have engagement signals: upvotes, likes)
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2. Weight WebSearch sources LOWER (no engagement data)
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3. Identify patterns that appear across ALL three sources (strongest signals)
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4. Note any contradictions between sources
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5. Extract the top 3-5 actionable insights
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---
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@@ -157,10 +177,10 @@ KEY PATTERNS I'll use:
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📊 Research Complete
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Analyzed {total_sources} sources from the last 30 days
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├─ Reddit: {n} threads │ {sum} upvotes │ {sum} comments
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├─ X: {n} posts │ {sum} likes │ {sum} reposts
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├─ Web: {n} pages │ {domains}
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└─ Top voices: r/{sub1}, r/{sub2}, @{handle1}, @{handle2}
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├─ 🟠 Reddit: {n} threads │ {sum} upvotes │ {sum} comments
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├─ 🔵 X: {n} posts │ {sum} likes │ {sum} reposts
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├─ 🌐 Web: {n} pages │ {domains}
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└─ Top voices: r/{sub1}, r/{sub2} │ @{handle1}, @{handle2} │ {web_author} on {site}
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---
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Share your vision for what you want to create and I'll write a thoughtful prompt you can copy-paste directly into {TARGET_TOOL}.
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