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/deep-research

@c5c1b45

Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 8 modes: full research, quick brief, paper review, lit-review, fact-check, three-way literature scan, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, WHY HOW WHAT papers, 3W literature scan, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 三段式文獻掃描, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題, 심층 연구, 문헌 조사, 체계적 문헌고찰, 메타분석, 사실 확인, 연구 방향을 잡아줘, 연구 주제 정하는 것을 도와줘, revisión de literatura, metaanálisis

Use this Skill: https://skilld.dev/gh/imbad0202/academic-research-skills/deep-research

This session only. Nothing lands on disk.

templatesresearch_brief_template.md

≈544 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Research Brief Template

Purpose

Standard output format for quick mode research. Concise, actionable, evidence-based.

Template

# Research Brief

**Title**: [Descriptive title in sentence case]
**Date**: [YYYY-MM-DD]
**Mode**: Quick Research Brief
**AI Disclosure**: This brief was produced with AI-assisted research tools. All findings are verified against cited sources.

---

## Executive Summary
[100-150 words. State the question, key findings, and main implication.]

---

## Background & Research Question

### Context
[2-3 paragraphs providing necessary background for the reader.]

### Research Question
> [The refined research question, as a single clear sentence.]

### Scope
- **In scope**: [what this brief covers]
- **Out of scope**: [what this brief does not cover]

---

## Key Findings

### Finding 1: [Title]
[2-3 sentences with citation(s)]

**Evidence strength**: [Strong / Moderate / Emerging]
**Source(s)**: [Brief citation]

### Finding 2: [Title]
[2-3 sentences with citation(s)]

**Evidence strength**: [Strong / Moderate / Emerging]
**Source(s)**: [Brief citation]

### Finding 3: [Title]
[2-3 sentences with citation(s)]

**Evidence strength**: [Strong / Moderate / Emerging]
**Source(s)**: [Brief citation]

[Add more findings as needed, typically 3-5]

---

## Analysis & Implications

### What This Means
[2-3 paragraphs interpreting the findings. Connect evidence to practical implications.]

### Recommendations
1. [Actionable recommendation with evidence basis]
2. [Actionable recommendation with evidence basis]
3. [Actionable recommendation with evidence basis]

---

## Limitations
- [Limitation 1: e.g., search scope, time constraints]
- [Limitation 2: e.g., evidence gaps]
- [Limitation 3: e.g., AI-assisted analysis limitations]

---

## References
[APA 7.0 format, 5-10 references typical for quick mode]

1. [Reference 1]
2. [Reference 2]
...

Usage Notes

  • Target length: 500-1,500 words
  • Minimum 5 cited sources
  • Every finding must have at least one citation
  • Evidence strength ratings should align with source quality hierarchy
  • Keep language accessible — this is a brief, not a journal article

Source: SKILL.md on GitHub

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    The deep-research skill is a highly sophisticated research orchestration system that includes robust internal security instructions to prevent prompt injection from untrusted data. It leverages well-known scholarly APIs for data verification and uses local scripts for deterministic validation of research artifacts.

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Signed by skilld at c5c1b45. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 33 minutes ago.

Activeupdated 2 days ago
Other metadata
metadata
{
  "version": "2.12.1",
  "last_updated": "2026-08-15",
  "status": "active",
  "data_access_level": "raw",
  "task_type": "open-ended",
  "related_skills": [
    "academic-paper",
    "academic-pipeline"
  ]
}

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