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Research
Skill

/insane-research-main

Use when the user wants a topic researched, investigated, compared, or surveyed from web sources — before calling WebSearch, even for a quick first pass. Example queries include "/insane-research", "deep research on", "리서치해줘", "리서치부터 해보자", "조사해줘", "알아봐줘", "비교 분석", "동향", "시장 규모",

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insane-research
2742 skills1 command
Install
$ npx -y skills add fivetaku/insane-research --skill insane-research-main --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/insane-research-main

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use when the user wants a topic researched, investigated, compared, or surveyed from web sources — before calling WebSearch, even for a quick first pass. Example queries include "/insane-research", "deep research on", "리서치해줘", "리서치부터 해보자", "조사해줘", "알아봐줘", "비교 분석", "동향", "시장 규모",

SKILL.md

insane-research-main.SKILL.md
name: insane-research-main
description: Use when the user wants a topic researched, investigated, compared, or surveyed from web sources — before calling WebSearch, even for a quick first pass. Example queries include "/insane-research", "deep research on", "리서치해줘", "리서치부터 해보자", "조사해줘", "알아봐줘", "비교 분석", "동향", "시장 규모", "최근 사례 정리", "[주제]에 대해 리서치해줘".

<!-- first-run setup: idempotent, non-blocking, self-skips after first run --> **Step 0 — run once, silently, before anything else:** `bash "${CLAUDE_PLUGIN_ROOT}/setup/setup.sh" >/dev/null 2>&1 || true` — do not narrate or comment on it, then continue.

insane-research Skill

> AI-powered comprehensive research with state management, multi-agent source verification, and structured outputs.

Trigger Conditions

# Primary triggers
- "/insane-research [topic]"
- "/research [topic]"
- "딥리서치 [주제]"
- "심층 연구 [주제]"
- "[주제]에 대해 리서치해줘"
- "[주제] 리서치"
- "deep research on [topic]"

# Resume triggers
- "/insane-research resume [session_id]"
- "/research-resume [session_id]"

# Status triggers
- "/insane-research status"
- "/research-status"

---

WHEN TRIGGERED - EXECUTE IMMEDIATELY

**DO NOT just display this documentation. EXECUTE the research flow immediately.**

On Trigger Action:

1. **Extract the topic** from user's message 2. **Start Phase 1** - Use `AskUserQuestion` tool for interactive selection

---

CRITICAL REQUIREMENT — 스코핑 우선순위 (단일 규칙)

입력을 보고 **아래 순서로 단 하나만** 적용한다(이전의 "무조건 즉시 질문"은 이 규칙으로 대체):

1. **유효한 structured JSON 쿼리** → 질문 없이 **Phase 1 건너뛰고 Phase 2로 바로 진행**(요구사항이 이미 정의됨). 2. **자연어인데 필수 정보가 빠짐**(주제 외 초점/산출물/대상이 전부 불명확) → **AskUserQuestion 도구를 1회 호출**(텍스트 질문 금지, JSON 파라미터로). 여러 질문은 1-4개 그룹으로 묶는다. 3. **이미 충분히 구체적** → 과잉질문 없이 합리적 기본값을 `state.json`에 기록하고 **바로 진행**(shared/questioning-policy.md §2c).

> 질문이 필요할 때만 AskUserQuestion을 쓰고, 쓸 때는 반드시 텍스트가 아닌 도구 호출로 한다.

---

Language Detection

  • Detect the language of user's input (topic query)
  • Generate ALL question labels and descriptions in the SAME LANGUAGE as user input
  • If Korean -> Korean options, If English -> English options, etc.

**EXECUTE:** 아래 JSON으로 AskUserQuestion 도구를 즉시 호출한다 (combine into 1-4 question groups). Translate all labels/descriptions to match user's language:

**English Example:**

{
  "questions": [
    {
      "question": "What aspects interest you most?",
      "header": "Focus",
      "options": [
        {"label": "Current state & trends", "description": "Latest developments, market status, key players"},
        {"label": "Technical deep-dive", "description": "Architecture, implementation, tech stack"},
        {"label": "Market analysis", "description": "Market size, growth rate, competition"},
        {"label": "All of the above (Recommended)", "description": "Comprehensive research - all aspects"}
      ],
      "multiSelect": false
    },
    {
      "question": "What type of deliverable do you want?",
      "header": "Output",
      "options": [
        {"label": "Comprehensive report (Recommended)", "description": "20-50+ pages, detailed analysis and insights"},
        {"label": "Executive summary", "description": "3-5 pages, key points only"},
        {"label": "Modular documents", "description": "Multiple documents by topic"}
      ],
      "multiSelect": false
    },
    {
      "question": "Who will read this research?",
      "header": "Audience",
      "options": [
        {"label": "Technical team/Developers", "description": "Include technical details"},
        {"label": "Business executives", "description": "Focus on strategic insights"},
        {"label": "Researchers/Academic", "description": "Academic citations and methodology"},
        {"label": "General audience", "description": "Easy explanations and overview"}
      ],
      "multiSelect": false
    },
    {
      "question": "Any source preferences?",
      "header": "Sources",
      "options": [
        {"label": "Academic/Papers", "description": "Peer-reviewed papers, conferences"},
        {"label": "Industry reports", "description": "Gartner, white papers, analyst reports"},
        {"label": "News/Current", "description": "Media, blogs, latest announcements"},
        {"label": "All sources (Recommended)", "description": "All reliable sources"}
      ],
      "multiSelect": false
    }
  ]
}

**Korean Example (EXECUTE):**

{
  "questions": [
    {
      "question": "어떤 측면에 관심이 있으신가요?",
      "header": "Focus",
      "options": [
        {"label": "현재 상태와 트렌드", "description": "최신 동향, 시장 현황, 주요 플레이어"},
        {"label": "기술 심층 분석", "description": "아키텍처, 구현 방법, 기술 스택"},
        {"label": "시장 분석", "description": "시장 규모, 성장률, 경쟁 구도"},
        {"label": "모두 포함 (Recommended)", "description": "종합 리서치 - 모든 측면 분석"}
      ],
      "multiSelect": false
    }
  ]
}

3. **After user responds**:

  • Create session folder: `RESEARCH/{topic}_{timestamp}/`
  • Initialize `state.json`
  • Execute Phase 2-7 sequentially
  • Use search agents in throttled batches (2-3 concurrent) with liveness check + sequential fallback — see the Rate-Limit & Reliability Guard
  • Deliver final report to `outputs/` folder

---

The 7-Phase Insane Research Process

Phase 1: Question Scoping

  • Clarify the research question with the user
  • Define output format and success criteria
  • Identify constraints and desired tone
  • Create unambiguous query with clear parameters

Phase 2: Retrieval Planning

  • Break main question into 3-5 subtopics
  • Generate specific search queries per subtopic
  • Select appropriate data sources
  • Create research plan for user approval
  • Use Graph of Thoughts to model research as operations

---

DATE-AWARE QUERY GENERATION (CRITICAL)

**All search queries MUST include current date context for freshness.**

Get Today's Date First

Before generating ANY search query, determine today's date from the system context.

Query Generation Rules

1. **Always append year to queries:**

  • BAD: "AI code assistants market"
  • GOOD: "
Read more
Ships withinsane-research

insane-research — AI-powered multi-agent deep research with source verification and structured outputs. Turn a single question into a comprehensive, citation-backed research report — automatically. Quick Start • Why insane-research?

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Python
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MIT
License
4d ago
Last commit
8mo ago
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Repo: fivetaku/insane-research

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