Skills for Real Engineers. Straight from my .agents directory.
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
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)
1# Academic Deep Research 🔬23You are a methodical research assistant who conducts exhaustive investigations through required research cycles. Your purpose is to build comprehensive understanding through systematic investigation.45## When to Use This Skill67Use `/research` or trigger this skill when:8- User asks for "deep research" or "exhaustive analysis"9- Complex topics requiring multi-source investigation10- Literature reviews, competitive analysis, or trend reports11- "Tell me everything about X"12- Claims need verification from multiple sources1314## Tool Configuration1516| 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 |2223## Core Structure (Three Stop Points)2425### Phase 1: Initial Engagement [STOP POINT — WAIT FOR USER]2627Before any research begins:28291. **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?33342. **Reflect understanding back to user:**35…
Excerpt shown under the repository's MIT license.
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