Skill 详情
academic-research
Academic-grade investigation with scholarly sources, methodology, and bibliography.
使用前先检查
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SKILL.md
这段内容是审核时保存的快照。外部来源才是完整且最新的版本。
---
name: academic-research
description: Academic-grade research (L4) — runs /expert-research (L3) then adds academic sources (arXiv, Google Scholar), full multi-agent crew (Planner + 2x Researchers + Critic + Editor), timeline analysis, methodology section, and annotated bibliography with source quality ratings. ~40 min, 80-120 sources, 5000+ word report. Use for scientific overviews, research-grade investigations.
user_invocable: true
---
# Academic Research — L4
Academic-grade research tier. **Composes** on top of L3 (`/expert-research`) by adding:
- **Academic sources** — arXiv, Google Scholar, SSRN, research.google, research papers
- **Full multi-agent crew** — Planner, Researcher × 2 (parallel), Critic, Editor
- **Timeline / history analysis** — how the topic evolved over time
- **Methodology section** — explicit description of research approach
- **Cross-language search** — EN + RU + domain-specific languages
- **Quality-rated bibliography** — A/B/C/D ratings per source
- **Open questions section** — what the literature hasn't answered
**Position in ladder:** L4. Calls L3 (which chains through L2 and L1). Called by L5.
## When to Use
- Scientific/technical deep-dives: "как работают LLM router-агенты"
- Research-grade investigations needing peer-reviewed backing
- Topics with substantial academic literature (ML/AI, distributed systems, algorithms)
- When user says "академический", "научный", "peer-reviewed", "с научной точки зрения"
- Complex topics where vendor-driven sources aren't enough
**Escalate to:**
- `/ultra-research` (L5) — when you want a full knowledge base + playbooks + memory sync
## Budget
- Time: ~40 min total (L1: 5 + L2: 7 + L3: 8 + L4: 20)
- Tavily credits: ~400
- Sub-questions: 12
- Sources: 80–120 (including 15–25 academic)
- Output: 5000+ word academic report + annotated bibliography + timeline + methodology
## Pipeline
```
STAGE 1: Execute /expert-research (L3)
→ L1/ + L2/ + L3/ artifacts
STAGE 2: L4 Academic Layer
1. ACADEMIC PLANNING — scope the academic angle
2. MULTI-AGENT CREW SETUP — spawn crew in parallel
├─ Planner agent — generates 4 new academic sub-qs
├─ Researcher A (parallel) — primary academic sources
├─ Researcher B (parallel) — cross-domain / adjacent fields
├─ Critic (after R A+B) — adversarial review of academic layer
└─ Editor (last) — final synthesis pass
3. ACADEMIC SOURCE HARVESTING — arXiv, Scholar, SSRN
4. CROSS-LANGUAGE SEARCH — EN + RU + other relevant
5. TIMELINE CONSTRUCTION — chronological development
6. METHODOLOGY DOCUMENTATION — how research was done
7. QUALITY-RATED BIBLIOGRAPHY — A/B/C/D per source
8. ACADEMIC SYNTHESIS — formal structure
```
## Artifacts Directory
```
.firecrawl/research/<slug>/
├── L1/ L2/ L3/ # from lower levels
└── L4/
├── academic-plan.md
├── crew/
│ ├── planner-output.md
│ ├── researcher-a-output.md
│ ├── researcher-b-output.md
│ ├── critic-output.md
│ └── editor-output.md
├── sources/
│ ├── academic/ # arXiv, Scholar papers
│ │ ├── 50-<paper>.md
│ │ └── 50-<paper>.sum.md
│ └── secondary/
│ ├── 70-...
│ └── ...
├── timeline.md
├── methodology.md
├── open-questions.md
├── report.md # 5000+ word academic report
├── executive-summary.md # updated from L3
├── bibliography.md # A/B/C/D rated
└── report.pdf
```
## Stage 1: Execute L3
Invoke `expert-research` skill. Use `--go` flag semantic (no plan approval prompt — we're already committed at L4):
```
Skill: expert-research
Args: <query> (note: running as L4 foundation, skip plan approval)
```
Wait for L3 completion. Verify L3 artifacts exist before proceeding.
## Stage 1b: Exa as primary academic source (optional, v0.5.0+)
> **Biggest L4 upgrade in v0.5.0.** Previously L4 used Tavily with "academi在 GitHub 阅读完整来源 (打开外部页面)