academic-deep-research

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.

作者: admin | 来源: ClawHub

# Academic Deep Research 🔬 ## When to Use Trigger this skill when the user wants: - Deep research, exhaustive analysis, or literature review - Multi-source verification and evidence hierarchies - Academic-style reports with citations ## Required Stop Points 1. **Initial engagement**: ask 2–3 clarifying questions and confirm understanding. 2. **Research plan**: present themes, steps, and deliverables; wait for approval. 3. **Final report**: deliver full narrative report with citations. ## Minimum Requirements - Two full research cycles per theme. - Analyze between every tool call. - Multiple sources per claim; contradictions addressed. - APA 7th in-text citations and reference list. - Narrative-only final report (no lists or tables). ## References - `reference/protocol.md` — research phases, tool order, and analysis rules - `reference/writing-style.md` — narrative constraints and phase formatting - `reference/citations-apa.md` — citation rules and examples - `reference/report-template.md` — required report structure - `reference/error-handling.md` — gaps, contradictions, failures - `reference/quality-standards.md` — evidence hierarchy and confidence levels - `reference/parallel-research.md` — sessions_spawn workflow - `quickref.md` — short checklist - `example.md` — sample usage