🎯

research

🎯Skill

from multicam/qara

VibeIndex|
What it does

Conducts comprehensive multi-source research using intelligent parallel retrieval, deep content analysis, and specialized extraction techniques across web sources.

πŸ“¦

Part of

multicam/qara(15 items)

research

Installation

BunRun with Bun
bun install
BunRun with Bun
bun run index.ts
πŸ“– Extracted from docs: multicam/qara
1Installs
-
AddedFeb 4, 2026

Skill Details

SKILL.md

Comprehensive research, analysis, and content extraction system. Multi-source parallel research using available researcher agents. Deep content analysis with extended thinking. Intelligent retrieval for difficult sites. Fabric pattern selection for 242+ specialized prompts. USE WHEN user says 'do research', 'extract wisdom', 'analyze content', 'find information about', or requests web/content research.

Overview

# Research Skill

API Keys Required

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

| Feature | API Key | Get It From |

|---------|---------|-------------|

| Perplexity Research | PERPLEXITY_API_KEY | https://perplexity.ai/settings/api |

| Gemini Research | GOOGLE_API_KEY | https://aistudio.google.com/app/apikey |

| ZAI Research | ZAI_API_KEY | https://z.ai/api-keys |

| BrightData Scraping | BRIGHTDATA_API_KEY | https://brightdata.com |

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"

β†’ READ: ${PAI_DIR}/skills/research/workflows/conduct.md

β†’ 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"

β†’ READ: ${PAI_DIR}/skills/research/workflows/claude-research.ts

β†’ 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"

β†’ READ: ${PAI_DIR}/skills/research/workflows/perplexity-research.ts

β†’ 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"

β†’ READ: ${PAI_DIR}/skills/research/workflows/interview-research.md

β†’ 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"

β†’ READ: ${PAI_DIR}/skills/research/workflows/retrieve.md

β†’ EXECUTE: Escalation through layers (WebFetch β†’ BrightData β†’ Apify)

When user provides YouTube URL:

Examples: "get this youtube video", "extract from youtube URL"

β†’ READ: ${PAI_DIR}/skills/research/workflows/youtube-extraction.md

β†’ EXECUTE: YouTube content extraction using fabric -y

When user requests web scraping:

Examples: "scrape this site", "extract data from this website"

β†’ READ: ${PAI_DIR}/skills/research/workflows/web-scraping.md

β†’ 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"

β†’ READ: ${PAI_DIR}/skills/research/workflows/fabric.md

β†’ EXECUTE: Auto-select best pattern from 242+ Fabric patterns

Content Enhancement Workflows

When user requests content enhancement:

Examples: "enhance this content", "improve this draft"

β†’ READ: ${PAI_DIR}/skills/research/workflows/enhance.md

β†’ EXECUTE: Content improvement and refinement

When user requests knowledge extraction:

Examples: "extract knowledge from X", "get insights from this"

β†’ READ: ${PAI_DIR}/skills/research/workflows/extract-knowledge.md

β†’ EXECUTE: Knowledge extraction and synthesis

---

Multi-Source Research

Three Research Modes

QUICK RESEARCH MODE:

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

STANDARD RESEARCH MODE (Default):

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

EXTENSIVE RESEARCH MODE:

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

Available Research Agents

Check ${PAI_DIR}/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)
  • zai-researcher - Uses ZAI GLM-4.7 (requires ZAI_API_KEY) - Best for technical/code research

Speed Benefits

  • ❌ Old approach: Sequential searches β†’ 5-10 minutes
  • βœ… Quick mode: 1 agent per type β†’ 2 minute timeout
  • βœ… Standard mode: 3 agents per type β†’ 3 minute timeout
  • βœ… Extensive mode: 8 agents per type β†’ 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 (requires BRIGHTDATA_API_KEY)

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

Layer 3: Apify (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

```bash

# 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)

```

${PAI_DIR}/scratchpad/YYYY-MM-DD-HHMMSS_research-[topic]/

β”œβ”€β”€ raw-outputs/

β”œβ”€β”€ synthesis-notes.md

└── draft-report.md

```

Permanent Storage (History)

```

${PAI_DIR}/history/research/YYYY-MM/YYYY-MM-DD_[topic]/

β”œβ”€β”€ README.md

β”œβ”€β”€ 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

---

WebSearch Tool Usage

Built-in Web Search (FREE)

Claude Code includes a built-in WebSearch tool for real-time web queries.

When to Use:

  • Current events and recent information
  • Documentation and API references
  • Pricing, availability, status checks
  • Fact verification beyond training data

Best Practices:

```typescript

// Include year for recent info

WebSearch({ query: "Next.js 15 features 2024" })

// Be specific

WebSearch({ query: "TypeScript 5.4 satisfies operator examples" })

// Use domain filtering for trusted sources

WebSearch({

query: "React hooks best practices",

allowed_domains: ["react.dev", "kentcdodds.com"]

})

```

Query Optimization:

  • Include year: "React Server Components 2024"
  • Be specific: "Bun vs Node.js benchmark comparison"
  • Use domain filters: Focus on official docs or trusted sources

Source Citation:

Always cite sources in research output:

```markdown

Sources

  • [React Documentation](https://react.dev/...)
  • [Official Blog Post](https://...)

```

WebSearch vs WebFetch

| Need | Tool |

|------|------|

| Search for information | WebSearch |

| Get specific page content | WebFetch |

| Multiple search results | WebSearch |

| Full article extraction | WebFetch |

Integration with Research Workflows

WebSearch is the foundation of claude-researcher agent:

  1. Query decomposition into sub-queries
  2. Parallel WebSearch calls
  3. Result synthesis
  4. Source attribution

---

Workflow Files

| Workflow | File | API Keys Needed |

|----------|------|-----------------|

| Multi-Source Research | workflows/conduct.md | Varies by agent |

| Claude Research | workflows/claude-research.md | None (FREE) |

| Perplexity Research | workflows/perplexity-research.md | PERPLEXITY_API_KEY |

| ZAI Research | workflows/zai-research.ts | ZAI_API_KEY |

| Interview Prep | workflows/interview-research.md | None |

| Content Retrieval | workflows/retrieve.md | Optional: BRIGHTDATA_API_KEY |

| YouTube Extraction | workflows/youtube-extraction.md | None (uses Fabric) |

| Web Scraping | workflows/web-scraping.md | Optional: BRIGHTDATA_API_KEY |

| Fabric Patterns | workflows/fabric.md | None |

| Content Enhancement | workflows/enhance.md | None |

| Knowledge Extraction | workflows/extract-knowledge.md | None |