---
name: deep-research-skills-c1963c52723f
description: "13 deep research & systematic reviews skills. Trigger: systematic reviews, multi-source synthesis, comprehensive literature surveys. Design: multi-step research protocols with quality assessment and evidence grading."
---

# Deep Research & Systematic Reviews — 13 Skills

Select the skill matching the user's need, then `read` its SKILL.md.

| Skill | Description |
|-------|-------------|
| [auto-deep-research-guide](./auto-deep-research-guide/SKILL.md) | Automated deep research tool for thorough topic investigation |
| [deep-searcher-guide](./deep-searcher-guide/SKILL.md) | Open deep research alternative for private data with vector search |
| [gpt-researcher-guide](./gpt-researcher-guide/SKILL.md) | Autonomous agent for comprehensive deep research on any topic |
| [in-depth-research-guide](./in-depth-research-guide/SKILL.md) | Structured methodology for conducting exhaustive multi-source investigations |
| [khoj-research-guide](./khoj-research-guide/SKILL.md) | AI second brain for deep research and personal knowledge management |
| [kosmos-scientist-guide](./kosmos-scientist-guide/SKILL.md) | Claude Code-driven autonomous AI Scientist for discovery |
| [llm-scientific-discovery-guide](./llm-scientific-discovery-guide/SKILL.md) | Survey of LLM agents for biomedical scientific discovery |
| [local-deep-research-guide](./local-deep-research-guide/SKILL.md) | Deep research agent searching 10+ sources with local or cloud LLMs |
| [meta-synthesis-guide](./meta-synthesis-guide/SKILL.md) | Conduct qualitative meta-synthesis and evidence synthesis methods |
| [open-researcher-guide](./open-researcher-guide/SKILL.md) | Open pipeline for generating deep research trajectories with LLMs |
| [scoping-review-guide](./scoping-review-guide/SKILL.md) | Scoping review methodology for broad evidence mapping |
| [systematic-review-guide](./systematic-review-guide/SKILL.md) | Systematic review methodology with PRISMA and evidence synthesis |
| [tongyi-deep-research-guide](./tongyi-deep-research-guide/SKILL.md) | Open-source deep research agent by Alibaba for scholarly research |


---
Source attribution: wentorai
Original project: https://github.com/wentorai/research-plugins/blob/bf44b3cd617fa94c8a1b254c5d1987142ca3d631/skills/research/deep-research/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Wentor AI

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: wentorai
Original project: https://github.com/wentorai/research-plugins/blob/bf44b3cd617fa94c8a1b254c5d1987142ca3d631/skills/research/deep-research/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Education & Research, Product Management
Roles: Academic Writer, Data Scientist, Market Research Analyst, Product Manager, Researcher
Specialties: Cross Platform
Tools: Tool not specified
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: d0b4064aae8548cdf2f3978898a361811694069e48ab191c436714b262d72a36