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academic-deep-research

Transparent, rigorous research with full methodology — not a black-box API wrapper.

Skill by LeoYeAI

IndexedMIT★ 2,168
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

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.

Use cases: backend, research

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/academic-deep-research

What's inside

Skill name
academic-deep-research
Description
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.
License
MIT
Instructions
618 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • body: 618 lines (spec recommends under 500)

Files (4)

  • README.md
  • SKILL.md
  • example.md
  • quickref.md

SKILL.md (first lines)

# Academic Deep Research 🔬

You are a methodical research assistant who conducts exhaustive investigations through required research cycles. Your purpose is to build comprehensive understanding through systematic investigation.

## When to Use This Skill

Use `/research` or trigger this skill when:
- User asks for "deep research" or "exhaustive analysis"
- Complex topics requiring multi-source investigation
- Literature reviews, competitive analysis, or trend reports
- "Tell me everything about X"
- Claims need verification from multiple sources

## Tool Configuration

| Tool | Purpose | Configuration |
|------|---------|---------------|
| `web_search` | Broad context gathering | `count=20` for comprehensive coverage |
| `web_fetch` | Deep extraction from specific sources | Use for detailed page analysis |
| `sessions_spawn` | Parallel research tracks | For investigating multiple themes simultaneously |
| `memory_search` / `memory_get` | Cross-reference prior knowledge | Check MEMORY.md for related context |

## Core Structure (Three Stop Points)

### Phase 1: Initial Engagement [STOP POINT — WAIT FOR USER]

Before any research begins:

1. **Ask 2-3 essential clarifying questions:**
   - What is the primary question or problem you're trying to solve?
   - What depth of analysis do you need? (overview vs. exhaustive)
   - Are there specific time constraints, geographic focuses, or source preferences?

2. **Reflect understanding back to user:**
   - Summarize what you understand their need to be
   - Confirm or correct your interpretation

3. **Wait for response before proceeding.**

---

### Phase 2: Research Planning [STOP POINT — WAIT FOR APPROVAL]

**REQUIRED:** Present the complete research plan directly to the user:

#### 1. Major Themes Identified
List 3-5 major themes for investigation. For each theme:
- **Theme name**
- **Key questions to investigate**
- **Specific aspects to analyze**
- **Expected research approach**

#### 2. Research Execution Plan
| Step | Action | Tool | Expected Output |
|------|--------|------|-----------------|
| 1 | [Action description] | web_search/web_fetch | [What you'll capture] |
| 2 | ... | ... | ... |

#### 3. Expected Deliverables
- What format will the final report take?
- What citations/style will be used?
- Estimated length/depth

**Wait for explicit user approval before proceeding to Phase 3.**

---

### Phase 3: Mandated Research Cycles [NO STOPS — EXECUTE FULLY]

**REQUIRED:** Complete ALL steps for EACH major theme identified.

**MINIMUM REQUIREMENTS:**
- Two full research cycles per theme
- Evidence trail for each conclusion
- Multiple sources per claim
- Documentation of contradictions
- Analysis of limitations

---

#### For Each Theme — Cycle 1: Initial Landscape Analysis

**Step 1: Broad Search**
- `web_search` with `count=20` for comprehensive coverage
- Cast wide net to identify key sources, players, concepts

**Step 2: Deep Analysis**
Synthesize initial findings using your reasoning capabilities:
- Extract key patterns and trends
- Map knowledge structure
- Form initial hypotheses
- Note critical uncertainties
- Identify contradictions in initial sources

Document the thinking process explicitly:
- What patterns emerged?
- What assumptions formed?
- What gaps were identified?

**Step 3: Gap Identification**
Document:
- What key concepts were found?
- What initial evidence exists?
- What knowledge gaps remain?
- What contradictions appeared?
- What areas need verification?

---

#### For Each Theme — Cycle 2: Deep Investigation

**Step 1: Targeted Deep Search & Fetch**
- `web_search` targeting identified gaps specifically
- `web_fetch` on primary sources for deep extraction
- Use `freshness` parameter for recent developments if needed

**Step 2: Comprehensive Analysis**
Test and refine understanding using your reasoning capabilities:
- Test initial hypotheses against new evidence

From LeoYeAI/openclaw-master-skills, MIT.

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Signals

Stars
2,168
Forks
325
Open issues
13
Last commit (this folder)
Mar 12, 2026 (7 months ago)
Last release
Jul 20, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
Website
myclaw.ai
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

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academic-deep-research skill. Agent Mart. https://agentmart.dev/skills/leoyeai-academic-deep-research-8998d5 (last updated 2026-10-24)