NSFC Literature Review Writer
HuiyuLi-2000/Chinese-Grant-Writer-Skills
Writes the research-status literature review and critique section of an NSFC grant proposal, backed by a bundled multi-source literature search.
Official agent skill
Research Deep Literature Review
by aws-samples in aws-samples/amazon-bedrock-agents-healthcare-lifesciences
A skill your agent uses when a developer needs to conduct systematic literature searches, find research papers, extract content from publications, or build evidence summaries from biomedical…
Install Research Deep Literature Review
$ npx skills add aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill research-deep-literature-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aws-samples/amazon-bedrock-agents-healthcare-lifesciences research-deep-literature-review --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-deep-literature-review .claude/skills/research-deep-literature-review && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "research-deep-literature-review" agent skill from https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences/tree/main/skills/research-deep-literature-review into .claude/skills/research-deep-literature-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-deep-literature-review", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences/tree/main/skills/research-deep-literature-reviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill research-deep-literature-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aws-samples/amazon-bedrock-agents-healthcare-lifesciences research-deep-literature-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/research-deep-literature-review .agents/skills/research-deep-literature-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "research-deep-literature-review" agent skill from https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences/tree/main/skills/research-deep-literature-review into .agents/skills/research-deep-literature-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-deep-literature-review", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill research-deep-literature-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aws-samples/amazon-bedrock-agents-healthcare-lifesciences research-deep-literature-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/research-deep-literature-review .cursor/skills/research-deep-literature-review && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "research-deep-literature-review" agent skill from https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences/tree/main/skills/research-deep-literature-review into .cursor/skills/research-deep-literature-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-deep-literature-review", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences.git --path skills/research-deep-literature-review--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill research-deep-literature-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aws-samples/amazon-bedrock-agents-healthcare-lifesciences research-deep-literature-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/research-deep-literature-review .gemini/skills/research-deep-literature-review && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "research-deep-literature-review" agent skill from https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences/tree/main/skills/research-deep-literature-review into .gemini/skills/research-deep-literature-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-deep-literature-review", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aws-samples/amazon-bedrock-agents-healthcare-lifesciences research-deep-literature-reviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill research-deep-literature-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/research-deep-literature-review .github/skills/research-deep-literature-review && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "research-deep-literature-review" agent skill from https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences/tree/main/skills/research-deep-literature-review into .github/skills/research-deep-literature-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-deep-literature-review", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill research-deep-literature-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aws-samples/amazon-bedrock-agents-healthcare-lifesciences research-deep-literature-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/research-deep-literature-review .opencode/skills/research-deep-literature-review && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "research-deep-literature-review" agent skill from https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences/tree/main/skills/research-deep-literature-review into .opencode/skills/research-deep-literature-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-deep-literature-review", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
research-deep-literature-review- GitHub stars
- 274
- Token cost
- ~1.1k tokens
- SKILL.md length
- 438 words
- Files
- 2 (incl. references)
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- MIT-0
At a glance
A skill your agent uses when a developer needs to conduct systematic literature searches, find research papers, extract content from publications, or build evidence summaries from biomedical…
- Works in 4 steps: Broad database search: Query relevant… → Cross-reference: Check multiple… → Extract details: Use PDF extraction tool… → …
- A developer needs to conduct systematic literature searches
- SKILL.md covers When to use this skill, MCP Server: biomni-research, Search Strategy and Literature Review Workflows, plus 2 more sections
- Calls claude; needs BIOMNI_MCP_TOKEN
What it does
Research Deep Literature Review is an agent skill from aws-samples/amazon-bedrock-agents-healthcare-lifesciences, published by the product's own GitHub organization. Use when a developer needs to conduct systematic literature searches, find research papers, extract content from publications, or build evidence summaries from biomedical databases and web sources via the Biomni Research Tools MCP server.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files.
It sits in Research & Science, covering Literature review. It works with Model Context Protocol and UniProt. The licence is MIT-0.
When your agent uses it
- A developer needs to conduct systematic literature searches
- Find research papers
- Extract content from publications
- Build evidence summaries from biomedical databases and web sources via the Biomni Research Tools MCP server
Example prompts
- “/research-deep-literature-review”
Requirements
- A credential in BIOMNI_MCP_TOKEN
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Broad database search: Query relevant databases for the topic
- Cross-reference: Check multiple databases for consistency
- Extract details: Use PDF extraction tool for full-text papers
- Synthesize: Combine database evidence with extracted findings
What it can do on your machine
Read from SKILL.md and the folder at commit 9960565. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
claude
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
BIOMNI_MCP_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Research Deep Literature Review loads about 1.1k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 438 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from aws-samples/amazon-bedrock-agents-healthcare-lifesciences at commit 9960565, republished under its MIT-0 licence (© aws-samples). 438 words, ~1,085 tokens.
Download SKILL.mdSave it as
.claude/skills/research-deep-literature-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- research-deep-literature-review
- description
- Use when a developer needs to conduct systematic literature searches, find research papers, extract content from publications, or build evidence summaries from biomedical databases and web sources via the Biomni Research Tools MCP server.
Deep Literature Review
When to use this skill
- Developer asks "find papers about X" or "what's the latest research on Y?"
- Developer needs to build an evidence summary from multiple publications
- Developer wants to extract specific data from a paper or PDF
- Developer needs to search across biomedical literature and databases
- Developer asks about systematic literature review workflows
MCP Server: biomni-research
This server provides tools for biomedical database queries including literature-related functionality. Tools are discovered automatically via the MCP protocol.
Quick setup (after deployment):
cd mcp-servers/agentcore-gateway/biomni-research-tools
source get-token.sh
claude mcp add --transport http biomni-research "$BIOMNI_GATEWAY_URL" --header "Authorization: Bearer $BIOMNI_MCP_TOKEN"Search Strategy
Choosing the Right Approach
| Research Type | Query approach (via biomni-research) |
|---|---|
| Clinical evidence (trials, outcomes) | Query ClinicalTrials database |
| Variant significance | Query ClinVar + gnomAD |
| Drug safety / regulatory | Query OpenFDA |
| Protein biology | Query UniProt + InterPro |
| Cancer genomics | Query cBioPortal + GEO |
| Pathway mechanisms | Query Reactome + Open Targets |
Effective Query Construction
All tools accept natural language prompts. Be specific:
"Find pathogenic BRCA1 variants associated with breast cancer"
"EGFR T790M resistance mutation frequency in Asian populations"
"CDK4/6 inhibitors clinical trials phase 3 breast cancer"
"TP53 expression in hepatocellular carcinoma datasets"Literature Review Workflows
Workflow 1: Rapid Evidence Summary
Goal: Quickly assess the state of evidence on a topic.
- Broad database search: Query relevant databases for the topic
- Cross-reference: Check multiple databases for consistency
- Extract details: Use PDF extraction tool for full-text papers
- Synthesize: Combine database evidence with extracted findings
Workflow 2: Competitive Intelligence (Drug Development)
- Find clinical trials: Query ClinicalTrials for "drug/target phase 2 phase 3 results"
- Check target biology: Query Open Targets + UniProt for target validation
- Regulatory context: Query OpenFDA for drug safety signals
- Extract details: Use PDF extraction for advisory briefing documents
Workflow 3: Systematic Literature Search
- Define PICO: Population, Intervention, Comparison, Outcome
- Multi-database search: Query ClinVar + ClinicalTrials + Open Targets
- Cross-reference: Compare findings across databases for consistency
- Validate: Check population frequencies (gnomAD) for genomic findings
Show full SKILL.md (159 more words)Show less
Workflow 4: Technology Landscape
- Foundational biology: Query UniProt + Reactome for mechanism
- Clinical translation: Query ClinicalTrials for applications
- Cancer data: Query cBioPortal for mutation/expression profiles
- Regulatory status: Query OpenFDA for approved therapies
Tips
- Be specific with organisms: Always specify "human" to avoid cross-species results
- Use standard identifiers: Gene symbols (BRCA1), UniProt IDs (P38398), RS numbers (rs80357906)
- Start broad, narrow down: First query identifies the entity → follow-up gets specific data
- Cross-validate: If a finding appears across multiple database tools, it's more reliable
- Extract strategically: Only use PDF extraction when you need methods details or specific data points
Combining with Other Skills
Literature review is most powerful when combined with other database queries:
- Find variant: Query ClinVar for "EGFR T790M pathogenic"
- Check frequency: Query gnomAD for "EGFR T790M population frequency"
- Check pathways: Query Reactome for "EGFR signaling cascade"
- Find trials: Query ClinicalTrials for "EGFR T790M osimertinib"
This multi-database feedback loop produces comprehensive evidence packages.
© aws-samples, MIT-0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in skills/research-deep-literature-review of aws-samples/amazon-bedrock-agents-healthcare-lifesciences.
- SKILL.md
- references/.gitkeep
Open the folder on GitHubat commit 9960565
Compare with similar skills
Research Deep Literature Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Research Deep Literature Review this skillaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | — | ~1.1k | Automated safety check: Pass | MIT-0 | |
| NSFC Literature Review WriterHuiyuLi-2000/Chinese-Grant-Writer-Skills | 439 | 1 repos | ~1.4k | Automated safety check: Notes | MIT | |
| Arxiv MCP Serverblazickjp/arxiv-mcp-server | 3.2k | — | ~353 | Automated safety check: Pass | Apache-2.0 | |
| Research LitCurryTang/Amadeus | 176 | 5 repos | ~963 | Automated safety check: Notes | None | |
| Academic Search and Citation RouterYuan1z0825/nature-skills | 47k | — | ~884 | Automated safety check: Pass | Apache-2.0 | |
| Medical Imaging ReviewLeonChaoX/qinyan-academic-skills | 944 | 3 repos | ~1.1k | Automated safety check: Notes | MIT |
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Questions about Research Deep Literature Review
What does Research Deep Literature Review do?
A skill your agent uses when a developer needs to conduct systematic literature searches, find research papers, extract content from publications, or build evidence summaries from biomedical…. Research Deep Literature Review is an agent skill from aws-samples/amazon-bedrock-agents-healthcare-lifesciences, published by the product's own GitHub organization. Use when a developer needs to conduct systematic literature searches, find research papers, extract content from publications, or build evidence summaries from biomedical databases and web sources via the Biomni Research Tools MCP server.
When should I use Research Deep Literature Review?
Research Deep Literature Review fits situations like: A developer needs to conduct systematic literature searches; find research papers; extract content from publications; build evidence summaries from biomedical databases and web sources via the Biomni Research Tools MCP server.
How do I install Research Deep Literature Review in Claude Code?
Run `npx skills add aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill research-deep-literature-review -a claude-code`. Or copy the skill folder (skills/research-deep-literature-review in aws-samples/amazon-bedrock-agents-healthcare-lifesciences) into .claude/skills/research-deep-literature-review in your project. Claude Code loads it when a task matches its description.
How do I install Research Deep Literature Review in Codex?
Run `npx skills add aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill research-deep-literature-review -a codex`. Or copy the skill folder (skills/research-deep-literature-review in aws-samples/amazon-bedrock-agents-healthcare-lifesciences) into .agents/skills/research-deep-literature-review in your project. Codex loads it when a task matches its description.
Can I use Research Deep Literature Review in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill research-deep-literature-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-deep-literature-review, .gemini/skills/research-deep-literature-review, .github/skills/research-deep-literature-review and .opencode/skills/research-deep-literature-review in your project.
What does Research Deep Literature Review need to run?
Going by SKILL.md and its folder, Research Deep Literature Review needs the command-line tools its instructions call (claude) and credentials named BIOMNI_MCP_TOKEN. Our summary lists: A credential in BIOMNI_MCP_TOKEN.
Does Research Deep Literature Review access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Research Deep Literature Review safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Research Deep Literature Review use?
Research Deep Literature Review is published under the MIT-0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Research Deep Literature Review use?
About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Research Deep Literature Review?
Skills that share tags, products or a category with Research Deep Literature Review: NSFC Literature Review Writer (HuiyuLi-2000/Chinese-Grant-Writer-Skills, 439 stars), Arxiv MCP Server (blazickjp/arxiv-mcp-server, 3.2k stars), Research Lit (CurryTang/Amadeus, 176 stars) and Academic Search and Citation Router (Yuan1z0825/nature-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Research Deep Literature Review?
aws-samples (a GitHub organization, an official publisher) maintains it in aws-samples/amazon-bedrock-agents-healthcare-lifesciences, which has 274 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 1, 2026.
Source: aws-samples/amazon-bedrock-agents-healthcare-lifesciences on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.