Research

Research Skill

API Keys Required

This skill works best with these optional API keys configured in ~/.env:

Works without API keys:

• Claude-based research (uses built-in WebSearch)
• Basic web fetching (uses built-in WebFetch)
• Fabric patterns (if Fabric CLI installed)

Workflow Routing

Multi-Source Research Workflows

When user requests comprehensive parallel research: Examples: "do research on X", "research this topic", "find information about Y", "investigate this subject" → READ: ${CLAUDE_PLUGIN_ROOT}/skills/research/workflows/conduct.md → EXECUTE: Parallel multi-agent research using available researcher agents

When user requests Claude-based research (FREE - no API keys): Examples: "use claude for research", "claude research on X", "use websearch to research Y" → READ: ${CLAUDE_PLUGIN_ROOT}/skills/research/workflows/claude-research.md → EXECUTE: Intelligent query decomposition with Claude's WebSearch

When user requests Perplexity research (requires PERPLEXITY_API_KEY): Examples: "use perplexity to research X", "perplexity research on Y" → READ: ${CLAUDE_PLUGIN_ROOT}/skills/research/workflows/perplexity-research.md → EXECUTE: Fast web search with query decomposition via Perplexity API

When user requests interview preparation: Examples: "prepare interview questions for X", "interview research on Y" → READ: ${CLAUDE_PLUGIN_ROOT}/skills/research/workflows/interview-research.md → EXECUTE: Interview prep with diverse question generation

Content Retrieval Workflows

When user indicates difficulty accessing content: Examples: "can't get this content", "site is blocking me", "CAPTCHA blocking" → READ: ${CLAUDE_PLUGIN_ROOT}/skills/research/workflows/retrieve.md → EXECUTE: Escalation through layers (WebFetch → BrightData → Apify)

When user provides YouTube URL: Examples: "get this youtube video", "extract from youtube URL" → READ: ${CLAUDE_PLUGIN_ROOT}/skills/research/workflows/youtube-extraction.md → EXECUTE: YouTube content extraction using fabric -y

When user requests web scraping: Examples: "scrape this site", "extract data from this website" → READ: ${CLAUDE_PLUGIN_ROOT}/skills/research/workflows/web-scraping.md → EXECUTE: Web scraping techniques and tools

Fabric Pattern Processing

When user requests Fabric pattern usage: Examples: "use fabric to X", "create threat model", "summarize with fabric" → READ: ${CLAUDE_PLUGIN_ROOT}/skills/research/workflows/fabric.md → EXECUTE: Auto-select best pattern from 242+ Fabric patterns

Content Enhancement Workflows

When user requests content enhancement: Examples: "enhance this content", "improve this draft" → READ: ${CLAUDE_PLUGIN_ROOT}/skills/research/workflows/enhance.md → EXECUTE: Content improvement and refinement

When user requests knowledge extraction: Examples: "extract knowledge from X", "get insights from this" → READ: ${CLAUDE_PLUGIN_ROOT}/skills/research/workflows/extract-knowledge.md → EXECUTE: Knowledge extraction and synthesis

Multi-Source Research

Three Research Modes

QUICK RESEARCH MODE:

• User says "quick research" → Launch 1 agent per researcher type
• Timeout: 2 minutes
• Best for: Simple queries, straightforward questions

STANDARD RESEARCH MODE (Default):

• Default for most research requests → Launch 3 agents per researcher type
• Timeout: 3 minutes
• Best for: Most research needs, comprehensive coverage

EXTENSIVE RESEARCH MODE:

• User says "extensive research" → Launch 8 agents per researcher type
• Timeout: 10 minutes
• Best for: Deep-dive research, comprehensive reports

Available Research Agents

Check ${CLAUDE_PLUGIN_ROOT}/agents/ for agents with "researcher" in their name:

• claude-researcher - Uses Claude's WebSearch (FREE, no API key needed)
• perplexity-researcher - Uses Perplexity API (requires PERPLEXITY_API_KEY)
• gemini-researcher - Uses Gemini API (requires GOOGLE_API_KEY)

Speed Benefits

• ❌ Old approach: Sequential searches → 5-10 minutes
• ✅ Quick mode: 1 agent per type → 2 minute timeout
• ✅ Standard mode: 3 agents per type → 3 minute timeout
• ✅ Extensive mode: 8 agents per type → 10 minute timeout

Intelligent Content Retrieval

Three-Layer Escalation System

Layer 1: Built-in Tools (Try First - FREE)

• WebFetch - Standard web content fetching
• WebSearch - Search engine queries
• When to use: Default for all content retrieval

Layer 2: BrightData MCP (requires BRIGHTDATA_API_KEY)

• CAPTCHA solving via Scraping Browser
• Advanced JavaScript rendering
• When to use: Bot detection blocking, CAPTCHA protection

Layer 3: Apify MCP (requires Apify account)

• Specialized site scrapers (Instagram, LinkedIn, etc.)
• Complex extraction logic
• When to use: Layers 1 and 2 both failed

Critical Rules:

• Always try simplest approach first (Layer 1)
• Escalate only when previous layer fails
• Document which layers were used and why

Fabric Pattern Selection

Categories (242+ Patterns)

Threat Modeling & Security:

• create_threat_model, create_stride_threat_model
• analyze_threat_report, analyze_incident

Summarization:

• summarize, create_5_sentence_summary
• summarize_meeting, summarize_paper, youtube_summary

Wisdom Extraction:

• extract_wisdom, extract_article_wisdom
• extract_insights, extract_main_idea

Analysis:

• analyze_claims, analyze_code, analyze_debate
• analyze_logs, analyze_paper

Content Creation:

• create_prd, create_design_document
• create_mermaid_visualization, create_user_story

Improvement:

• improve_writing, improve_prompt, review_code

Usage

# Auto-select pattern based on intent
fabric [input] -p [selected_pattern]

# From URL
fabric -u "URL" -p [pattern]

# From YouTube
fabric -y "YOUTUBE_URL" -p [pattern]

File Organization

Working Directory (Scratchpad)

~/.claude/scratchpad/YYYY-MM-DD-HHMMSS_research-[topic]/
├── raw-outputs/
├── synthesis-notes.md
└── draft-report.md

Permanent Storage (History)

~/.claude/pai-history/research/YYYY-MM/YYYY-MM-DD_[topic]/
├── README.md
├── research-report.md
└── metadata.json

Key Principles

1. Parallel execution - Launch multiple agents simultaneously
2. Hard timeouts - Don't wait indefinitely, proceed with partial results
3. Simplest first - Always try free tools before paid services
4. Auto-routing - Skill analyzes intent and activates appropriate workflow

Examples

Example 1: Multi-source research

User: "Do research on quantum computing breakthroughs in 2024"
→ Activates conduct.md workflow
→ Launches parallel researcher agents (Claude, Perplexity, Gemini)
→ Synthesizes findings with source attribution and confidence levels

Example 2: Content extraction from YouTube

User: "Extract wisdom from this YouTube video: https://youtube.com/watch?v=abc123"
→ Activates youtube-extraction.md workflow
→ Uses Fabric CLI with -y flag for transcription
→ Applies extract_wisdom pattern to content

Example 3: Difficult site retrieval

User: "I can't get content from this CloudFlare-protected site"
→ Activates retrieve.md workflow
→ Escalates through layers: WebFetch → BrightData → Apify
→ Returns content in markdown format

Workflow Files

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