Deep Research

Enhanced research engine for topics where training data is outdated.

Quick Start

Standard Mode

CLASSIFY → LANDSCAPE SCAN → RECENCY PULSE → SCOPE → HYPOTHESIZE → PLAN → [PLAN PREVIEW*] → RETRIEVE
→ GAP ANALYSIS → TRIANGULATE → SYNTHESIZE → RED TEAM → SELF-CRITIQUE → PACKAGE

*Deep+ tier only

LANDSCAPE SCAN (MANDATORY - Before Anything Else)

[Search for OVERVIEW first - NO known entity names in query!]
WebSearch: "[topic] landscape overview [current year]"
WebSearch: "top [topic] list [current year]"
WebSearch: "[topic] ecosystem players [current year]"

❌ WRONG: "DeepSeek Qwen performance 2025" (uses names you already know)
✅ RIGHT: "China open source LLM models list 2025" (discovers what exists)

→ Extract ALL entity names from results
→ List: Discovered (new to you) vs Confirmed (you knew)
→ THEN proceed to RECENCY PULSE

Why: You cannot research what you don't know exists. Scan the landscape FIRST.

RECENCY PULSE (MANDATORY - After Landscape Scan)

[Search for LATEST news — within days/weeks, not just "this year"]
WebSearch: "[topic] latest news this week [current month] [current year]"
WebSearch: "[topic] new release announcement [current month] [current year]"
WebSearch: "[upstream provider 1] latest release [current year]"
WebSearch: "[upstream provider 2] latest release [current year]"

→ Check: anything released in the last 7-30 days?
→ If yes: add to entity list, flag as BREAKING/RECENT
→ THEN proceed to SCOPE with complete picture

UPSTREAM CHECK (part of Recency Pulse):

For any product/platform research, identify the SUPPLY CHAIN:
- Who MAKES the underlying technology? (e.g., OpenAI → GPT, Anthropic → Claude)
- Who DISTRIBUTES it? (e.g., Microsoft → Copilot, GitHub → Copilot)
- Who COMPETES with it? (e.g., Google → Gemini)

Search EACH upstream provider directly — don't rely on downstream announcements.

Example for "Microsoft Copilot":
  Upstream: OpenAI (GPT models), Anthropic (Claude models)
  Downstream: Microsoft (Copilot products)
  → Search "OpenAI latest model [month] [year]"
  → Search "Anthropic latest release [month] [year]"
  → Search "Microsoft Copilot new features [month] [year]"

Why: Downstream products lag behind upstream releases. A new model from OpenAI/Anthropic may not appear in "Microsoft Copilot updates" for weeks. If you only search downstream, you miss what's coming or just arrived.

Anti-pattern: ค้นแค่ "Microsoft Copilot new features 2026" แล้วหยุด Better: ค้น upstream (OpenAI, Anthropic) + downstream (Microsoft) + "this week/month"

Creative Mode

ABSTRACT → MAP (3-5 domains) → SEARCH → GENERALIZE → SYNTHESIZE

Trigger: "creative mode", "cross-industry", "what do others do"

Example: "ทำยังไงให้คนมา engage กับ online course มากขึ้น?" → ABSTRACT: "retention + engagement ในกิจกรรมที่ทำซ้ำ" → MAP: Gaming (streaks, XP), Fitness apps (habit loops), YouTube (thumbnails, hooks), Loyalty programs (tiers) → SEARCH each domain → GENERALIZE patterns → SYNTHESIZE recommendations

Classification

Intensity Tiers

Search & Evidence

Parallel Search (MANDATORY)

[Single message — always 2-3 queries at once]
WebSearch: "[topic] [current year]"
WebSearch: "[topic] limitations"
WebSearch: "[topic] vs alternatives"

Claim Types

Confidence Format (C1 claims)

**Claim:** [Statement]
**Confidence:** HIGH/MEDIUM/LOW
**Reason:** [Why this confidence level]
**Sources:** [1][2]

Anti-Hallucination

• Every C1 cites [N] immediately
• Use "According to [1]..."
• Admit: "No sources found for X"

Research Sufficiency

"เมื่อไหร่ถึงจะพอ?"

Quick tier: หยุดเมื่อ saturation Standard: หยุดเมื่อ convergence + gap analysis ไม่เจอ gap สำคัญ Deep/Exhaustive: หยุดเมื่อ Red Team challenge ไม่พบจุดอ่อนใหม่

Facilitation Guide

Progress Reporting

ทุกๆ 5-8 sources → update ผู้ใช้:
"สรุปที่พบจนถึงตอนนี้: [key findings]
ยังมีคำถามค้าง: [gaps]
จะ search ต่อเรื่อง [next direction] นะคะ"

When to Ask User

Don't Ask — Just Do

• Type A questions → ตอบเลย
• Choosing search queries → ทำเลย ไม่ต้องถาม
• Formatting output → ใช้ template ได้เลย

Tools & Fallbacks

URL Fallback

If WebFetch returns 403:

curl -s --max-time 60 "https://r.jina.ai/https://example.com"

GitHub Repository Research

เจอ repo น่าสนใจ → ถาม user ก่อน clone:

"เจอ repo ที่น่าสนใจ: [repo-name] — ต้องการให้ clone มาศึกษา code ไหมคะ?"

If agreed:

mkdir -p /mnt/d/githubresearch && cd /mnt/d/githubresearch && git clone [repo-url]

Key files:

package.json

pyproject.toml

src/

README.md

References

grep -n "^## Phase"

grep -n "^## Phase C"

grep -n "^## "

scripts/validate_report.py

Output File (MANDATORY)

After completing research, ALWAYS save to markdown file:

research/[topic-slug]-[YYYY-MM-DD].md

Example:

research/china-opensource-ai-2025-01-04.md

• Create

  research/

  folder if it doesn't exist
• Why: Research takes effort. Save it for future reference.

Related Skills

• /boost-intel

  — Apply critical thinking to research findings

• /generate-creative-ideas

  — Creative Mode for cross-industry innovation

• /skill-creator-thepexcel

  — Research domain expertise for skill creation

• /extract-expertise

  — Research to prepare expert interviews