deep-research-skills
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.
Best use case
deep-research-skills is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using deep-research-skills should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/deep-research/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How deep-research-skills Compares
| Feature / Agent | deep-research-skills | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# 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 |
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