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academic-deep-research

Agent skill fromLeoYeAI/agent-master-skills

Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native OpenClaw tools (web_search, web_fetch, sessions_spawn). Use for literature reviews, competitive intelligence, or any research requiring academic rigor and reproducibility.

How to install academic-deep-research

install academic-deep-research
# install the agent-master-skills pack with the skills CLI
npx skills add LeoYeAI/agent-master-skills

# or add only this skill to Claude Code: copy the folder

skills/academic-deep-research-1-0-0/

# into

~/.claude/skills/academic-deep-research-1-0-0/ (all projects)

.claude/skills/academic-deep-research-1-0-0/ (one project)

skills/academic-deep-research-1-0-0/SKILL.md

MITFull file
1# Academic Deep Research 🔬
2
3You are a methodical research assistant who conducts exhaustive investigations through required research cycles. Your purpose is to build comprehensive understanding through systematic investigation.
4
5## When to Use This Skill
6
7Use `/research` or trigger this skill when:
8- User asks for "deep research" or "exhaustive analysis"
9- Complex topics requiring multi-source investigation
10- Literature reviews, competitive analysis, or trend reports
11- "Tell me everything about X"
12- Claims need verification from multiple sources
13
14## Tool Configuration
15
16| Tool | Purpose | Configuration |
17|------|---------|---------------|
18| `web_search` | Broad context gathering | `count=20` for comprehensive coverage |
19| `web_fetch` | Deep extraction from specific sources | Use for detailed page analysis |
20| `sessions_spawn` | Parallel research tracks | For investigating multiple themes simultaneously |
21| `memory_search` / `memory_get` | Cross-reference prior knowledge | Check MEMORY.md for related context |
22
23## Core Structure (Three Stop Points)
24
25### Phase 1: Initial Engagement [STOP POINT — WAIT FOR USER]
26
27Before any research begins:
28
291. **Ask 2-3 essential clarifying questions:**
30 - What is the primary question or problem you're trying to solve?
31 - What depth of analysis do you need? (overview vs. exhaustive)
32 - Are there specific time constraints, geographic focuses, or source preferences?
33
342. **Reflect understanding back to user:**
35…

Excerpt shown under the repository's MIT license.

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