Creator · LeonChaoX
Last updated · Sep 5, 2026
Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for
Creator · LeonChaoX
Last updated · Sep 5, 2026
Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for
Creator · LeonChaoX
Last updated · Sep 5, 2026
Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for
Creator · LeonChaoX
Last updated · Sep 5, 2026
Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for
Sandbox only
Install targets
Codex install prompt
Install the "medical-imaging-review" agent skill from https://github.com/LeonChaoX/qinyan-academic-skills/tree/main/skills/02-科学写作与学术交流/medical-imaging-review. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"leonchaox-medical-imaging-review","task":"Install medical-imaging-review","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review
Maintenance
active
2mo since push
Risk
Needs review
The skill relies on external MCP servers (ArXiv, PubMed, Zotero) which may not be available in all environments; no fallback strategy is described.
GitHub quality
867
71/100 Quality · 71/100 Trust
Coverage tags
Review notes
The skill relies on external MCP servers (ArXiv, PubMed, Zotero) which may not be available in all environments; no fallback strategy is described. · The SKILL.md references 'CLAUDE.md' which is Claude-specific, but the skill is intended for general agent use; this could be clarified.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
867 GitHub stars
Repo activity
867 stars, 75 forks
Maintenance
2mo since push
License
MIT
Install
npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-reviewDo not use when
Alternative
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npx skills add mvanhorn/last30days-skill -g
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npx skills add Imbad0202/academic-research-skills
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20medical-imaging-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20medical-imaging-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/leonchaox-medical-imaging-review/install
Agent should check
Copy prompt
Task: Use medical-imaging-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20medical-imaging-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/leonchaox-medical-imaging-review/install
Install command: npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/leonchaox-medical-imaging-review/install
LLM text format
/api/skills/leonchaox-medical-imaging-review/install?format=text
Find alternatives
/api/skills/search?q=medical-imaging-review&limit=3
Agent prompt
Use medical-imaging-review for this task. Review https://www.openagentskill.com/api/skills/leonchaox-medical-imaging-review/install, then install with: npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-reviewRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/leonchaox-medical-imaging-review
LLM text
/api/registry/manifest/leonchaox-medical-imaging-review?format=text
Install alias
/api/registry/install/leonchaox-medical-imaging-review
Recommend
/api/registry/recommend?task=Use%20medical-imaging-review%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO867 GitHub stars
Stars/forks activity
INFO867 stars, 75 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: medical-imaging-review description: > Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging. metadata: author: user version: "2.0.0" allowed-tools: - Read - Write - Edit - Glob - Grep - Bash - WebSearch - WebFetch - Task - mcp__arxiv-mcp-server__search_papers - mcp__arxiv-mcp-server__download_paper - mcp__arxiv-mcp-server__read_paper - mcp__pubmed-mcp-server__pubmed_search_articles - mcp__zotero__zotero_search_items - mcp__zotero__zotero_get_item_fulltext ---
# Medical Imaging AI Literature Review Skill
Write comprehensive literature reviews following a systematic 7-phase workflow.
## Quick Start
1. **Initialize project** with three core files: - `CLAUDE.md` - Writing guidelines and terminology - `IMPLEMENTATION_PLAN.md` - Staged execution plan - `manuscript_draft.md` - Main manuscript
2. **Follow the 7-phase workflow** (see [references/WORKFLOW.md](references/WORKFLOW.md))
3. **Use domain-specific templates** (see [references/DOMAINS.md](references/DOMAINS.md))
---
## Core Principles
### Writing Style - **Hedging language**: "may", "suggests", "appears to", "has shown promising results" - **Avoid absolutes**: Never say "X is the best method" - **Citation support**: Every claim needs reference - **Limitations**: Each method section needs a Limitations paragraph
### Required Elements - **Key Points box** (3-5 bullets) after title - **Comparison table** for each major section - **Performance metrics**: Dice (0.XXX), HD95 (X.XX mm) - **Figure placeholders** with detailed captions - **References**: 80-120 typical, organized by topic
### Paragraph Structure ``` Topic sentence (main claim) → Supporting evidence (citations + data) → Analysis (critical evaluation) → Transition to next paragraph ```
---
## Literature Sources
Use multi-source strategy for comprehensive coverage:
| Source | Best For | Tools | |--------|----------|-------| | ArXiv | Latest DL methods, preprints | `search_papers`, `read_paper` | | PubMed | Clinical validation, peer-reviewed | `pubmed_search_articles` | | Zotero | Existing library, organized refs | `zotero_search_items` |
For MCP configuration details, see [references/MCP_SETUP.md](references/MCP_SETUP.md).
---
## Standard Review Structure
```markdown # [Title]: State of the Art and Future Directions
## Key Points - [3-5 bullets summarizing main findings]
## Abstract
## 1. Introduction ### 1.1 Clinical Background ### 1.2 Technical Challenges ### 1.3 Scope and Contributions
## 2. Datasets and Evaluation Metrics ### 2.1 Public Datasets (Table 1) ### 2.2 Evaluation Metrics
## 3. Deep Learning Methods ### 3.1 [Category 1] ### 3.2 [Category 2] (Table 2: Method Comparison)
## 4. Downstream Applications
## 5. Commercial Products & Clinical Translation (Table 3)
## 6. Discussion ### 6.1 Current Limitations ### 6.2 Future Directions
## 7. Conclusion
## References ```
---
## Method Description Template
```markdown ### 3.X [Method Category]
[1-2 paragraph introduction with motivation]
**[Method Name]:** [Author] et al. [ref] proposed [method], which [innovation]: - [Key component 1] - [Key component 2] Achieves Dice of X.XX on [dataset].
**Limitations:** Despite advantages, [category] methods face: (1) [limit 1]; (2) [limit 2]. ```
---
## Citation Patterns
```markdown # Data citation "...achieved Dice of 0.89 [23]"
# Method citation "Gu et al. [45] proposed..."
# Multi-citation "Several studies demonstrated... [12, 15, 23]"
# Comparative "While [12] focused on..., [15] addressed..." ```
---
## Reference Files
| File | Purpose | |------|---------| | [references/WORKFLOW.md](references/WORKFLOW.md) | Detailed 7-phase workflow | | [references/TEMPLATES.md](references/TEMPLATES.md) | CLAUDE.md and IMPLEMENTATION_PLAN.md templates | | [references/DOMAINS.md](references/DOMAINS.md) | Domain-specific method categories | | [references/MCP_SETUP.md](references/MCP_SETUP.md) | MCP server configuration | | [references/QUALITY_CHECKLIST.md](references/QUALITY_CHECKLIST.md) | Pre-submission quality checklist |
Source provenance
Decision snapshot
867 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for medical-imaging-review, ready for a manual X post.
medical-imaging-review: Write comprehensive literature reviews for medical imaging AI research. Use when writing surv... 867 stars https://www.openagentskill.com/skills/leonchaox-medical-imaging-review?ref=x
Listing + install path for medical-imaging-review: https://www.openagentskill.com/skills/leonchaox-medical-imaging-review?ref=x Install: npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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[](https://www.openagentskill.com/skills/leonchaox-medical-imaging-review?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)LeonChaoX
@leonchaox
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Sandbox only
mono-color
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Install targets
Codex install prompt
Install the "medical-imaging-review" agent skill from https://github.com/LeonChaoX/qinyan-academic-skills/tree/main/skills/02-科学写作与学术交流/medical-imaging-review. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"leonchaox-medical-imaging-review","task":"Install medical-imaging-review","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review
Maintenance
active
2mo since push
Risk
Needs review
The skill relies on external MCP servers (ArXiv, PubMed, Zotero) which may not be available in all environments; no fallback strategy is described.
GitHub quality
867
71/100 Quality · 71/100 Trust
Coverage tags
Review notes
The skill relies on external MCP servers (ArXiv, PubMed, Zotero) which may not be available in all environments; no fallback strategy is described. · The SKILL.md references 'CLAUDE.md' which is Claude-specific, but the skill is intended for general agent use; this could be clarified.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
867 GitHub stars
Repo activity
867 stars, 75 forks
Maintenance
2mo since push
License
MIT
Install
npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-reviewDo not use when
Alternative
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Alternative
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npx skills add mvanhorn/last30days-skill -g
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npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20medical-imaging-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20medical-imaging-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/leonchaox-medical-imaging-review/install
Agent should check
Copy prompt
Task: Use medical-imaging-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20medical-imaging-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/leonchaox-medical-imaging-review/install
Install command: npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/leonchaox-medical-imaging-review/install
LLM text format
/api/skills/leonchaox-medical-imaging-review/install?format=text
Find alternatives
/api/skills/search?q=medical-imaging-review&limit=3
Agent prompt
Use medical-imaging-review for this task. Review https://www.openagentskill.com/api/skills/leonchaox-medical-imaging-review/install, then install with: npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-reviewRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/leonchaox-medical-imaging-review
LLM text
/api/registry/manifest/leonchaox-medical-imaging-review?format=text
Install alias
/api/registry/install/leonchaox-medical-imaging-review
Recommend
/api/registry/recommend?task=Use%20medical-imaging-review%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO867 GitHub stars
Stars/forks activity
INFO867 stars, 75 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: medical-imaging-review description: > Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging. metadata: author: user version: "2.0.0" allowed-tools: - Read - Write - Edit - Glob - Grep - Bash - WebSearch - WebFetch - Task - mcp__arxiv-mcp-server__search_papers - mcp__arxiv-mcp-server__download_paper - mcp__arxiv-mcp-server__read_paper - mcp__pubmed-mcp-server__pubmed_search_articles - mcp__zotero__zotero_search_items - mcp__zotero__zotero_get_item_fulltext ---
# Medical Imaging AI Literature Review Skill
Write comprehensive literature reviews following a systematic 7-phase workflow.
## Quick Start
1. **Initialize project** with three core files: - `CLAUDE.md` - Writing guidelines and terminology - `IMPLEMENTATION_PLAN.md` - Staged execution plan - `manuscript_draft.md` - Main manuscript
2. **Follow the 7-phase workflow** (see [references/WORKFLOW.md](references/WORKFLOW.md))
3. **Use domain-specific templates** (see [references/DOMAINS.md](references/DOMAINS.md))
---
## Core Principles
### Writing Style - **Hedging language**: "may", "suggests", "appears to", "has shown promising results" - **Avoid absolutes**: Never say "X is the best method" - **Citation support**: Every claim needs reference - **Limitations**: Each method section needs a Limitations paragraph
### Required Elements - **Key Points box** (3-5 bullets) after title - **Comparison table** for each major section - **Performance metrics**: Dice (0.XXX), HD95 (X.XX mm) - **Figure placeholders** with detailed captions - **References**: 80-120 typical, organized by topic
### Paragraph Structure ``` Topic sentence (main claim) → Supporting evidence (citations + data) → Analysis (critical evaluation) → Transition to next paragraph ```
---
## Literature Sources
Use multi-source strategy for comprehensive coverage:
| Source | Best For | Tools | |--------|----------|-------| | ArXiv | Latest DL methods, preprints | `search_papers`, `read_paper` | | PubMed | Clinical validation, peer-reviewed | `pubmed_search_articles` | | Zotero | Existing library, organized refs | `zotero_search_items` |
For MCP configuration details, see [references/MCP_SETUP.md](references/MCP_SETUP.md).
---
## Standard Review Structure
```markdown # [Title]: State of the Art and Future Directions
## Key Points - [3-5 bullets summarizing main findings]
## Abstract
## 1. Introduction ### 1.1 Clinical Background ### 1.2 Technical Challenges ### 1.3 Scope and Contributions
## 2. Datasets and Evaluation Metrics ### 2.1 Public Datasets (Table 1) ### 2.2 Evaluation Metrics
## 3. Deep Learning Methods ### 3.1 [Category 1] ### 3.2 [Category 2] (Table 2: Method Comparison)
## 4. Downstream Applications
## 5. Commercial Products & Clinical Translation (Table 3)
## 6. Discussion ### 6.1 Current Limitations ### 6.2 Future Directions
## 7. Conclusion
## References ```
---
## Method Description Template
```markdown ### 3.X [Method Category]
[1-2 paragraph introduction with motivation]
**[Method Name]:** [Author] et al. [ref] proposed [method], which [innovation]: - [Key component 1] - [Key component 2] Achieves Dice of X.XX on [dataset].
**Limitations:** Despite advantages, [category] methods face: (1) [limit 1]; (2) [limit 2]. ```
---
## Citation Patterns
```markdown # Data citation "...achieved Dice of 0.89 [23]"
# Method citation "Gu et al. [45] proposed..."
# Multi-citation "Several studies demonstrated... [12, 15, 23]"
# Comparative "While [12] focused on..., [15] addressed..." ```
---
## Reference Files
| File | Purpose | |------|---------| | [references/WORKFLOW.md](references/WORKFLOW.md) | Detailed 7-phase workflow | | [references/TEMPLATES.md](references/TEMPLATES.md) | CLAUDE.md and IMPLEMENTATION_PLAN.md templates | | [references/DOMAINS.md](references/DOMAINS.md) | Domain-specific method categories | | [references/MCP_SETUP.md](references/MCP_SETUP.md) | MCP server configuration | | [references/QUALITY_CHECKLIST.md](references/QUALITY_CHECKLIST.md) | Pre-submission quality checklist |
Source provenance
Decision snapshot
867 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for medical-imaging-review, ready for a manual X post.
medical-imaging-review: Write comprehensive literature reviews for medical imaging AI research. Use when writing surv... 867 stars https://www.openagentskill.com/skills/leonchaox-medical-imaging-review?ref=x
Listing + install path for medical-imaging-review: https://www.openagentskill.com/skills/leonchaox-medical-imaging-review?ref=x Install: npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to LeonChaoX but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/leonchaox-medical-imaging-review?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/leonchaox-medical-imaging-review?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/leonchaox-medical-imaging-review/audit)
[](https://www.openagentskill.com/skills/leonchaox-medical-imaging-review?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)LeonChaoX
@leonchaox
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "medical-imaging-review" agent skill from https://github.com/LeonChaoX/qinyan-academic-skills/tree/main/skills/02-科学写作与学术交流/medical-imaging-review. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"leonchaox-medical-imaging-review","task":"Install medical-imaging-review","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review
Maintenance
active
2mo since push
Risk
Needs review
The skill relies on external MCP servers (ArXiv, PubMed, Zotero) which may not be available in all environments; no fallback strategy is described.
GitHub quality
867
71/100 Quality · 71/100 Trust
Coverage tags
Review notes
The skill relies on external MCP servers (ArXiv, PubMed, Zotero) which may not be available in all environments; no fallback strategy is described. · The SKILL.md references 'CLAUDE.md' which is Claude-specific, but the skill is intended for general agent use; this could be clarified.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
867 GitHub stars
Repo activity
867 stars, 75 forks
Maintenance
2mo since push
License
MIT
Install
npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-reviewDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20medical-imaging-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20medical-imaging-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/leonchaox-medical-imaging-review/install
Agent should check
Copy prompt
Task: Use medical-imaging-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20medical-imaging-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/leonchaox-medical-imaging-review/install
Install command: npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/leonchaox-medical-imaging-review/install
LLM text format
/api/skills/leonchaox-medical-imaging-review/install?format=text
Find alternatives
/api/skills/search?q=medical-imaging-review&limit=3
Agent prompt
Use medical-imaging-review for this task. Review https://www.openagentskill.com/api/skills/leonchaox-medical-imaging-review/install, then install with: npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-reviewRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/leonchaox-medical-imaging-review
LLM text
/api/registry/manifest/leonchaox-medical-imaging-review?format=text
Install alias
/api/registry/install/leonchaox-medical-imaging-review
Recommend
/api/registry/recommend?task=Use%20medical-imaging-review%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO867 GitHub stars
Stars/forks activity
INFO867 stars, 75 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: medical-imaging-review description: > Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging. metadata: author: user version: "2.0.0" allowed-tools: - Read - Write - Edit - Glob - Grep - Bash - WebSearch - WebFetch - Task - mcp__arxiv-mcp-server__search_papers - mcp__arxiv-mcp-server__download_paper - mcp__arxiv-mcp-server__read_paper - mcp__pubmed-mcp-server__pubmed_search_articles - mcp__zotero__zotero_search_items - mcp__zotero__zotero_get_item_fulltext ---
# Medical Imaging AI Literature Review Skill
Write comprehensive literature reviews following a systematic 7-phase workflow.
## Quick Start
1. **Initialize project** with three core files: - `CLAUDE.md` - Writing guidelines and terminology - `IMPLEMENTATION_PLAN.md` - Staged execution plan - `manuscript_draft.md` - Main manuscript
2. **Follow the 7-phase workflow** (see [references/WORKFLOW.md](references/WORKFLOW.md))
3. **Use domain-specific templates** (see [references/DOMAINS.md](references/DOMAINS.md))
---
## Core Principles
### Writing Style - **Hedging language**: "may", "suggests", "appears to", "has shown promising results" - **Avoid absolutes**: Never say "X is the best method" - **Citation support**: Every claim needs reference - **Limitations**: Each method section needs a Limitations paragraph
### Required Elements - **Key Points box** (3-5 bullets) after title - **Comparison table** for each major section - **Performance metrics**: Dice (0.XXX), HD95 (X.XX mm) - **Figure placeholders** with detailed captions - **References**: 80-120 typical, organized by topic
### Paragraph Structure ``` Topic sentence (main claim) → Supporting evidence (citations + data) → Analysis (critical evaluation) → Transition to next paragraph ```
---
## Literature Sources
Use multi-source strategy for comprehensive coverage:
| Source | Best For | Tools | |--------|----------|-------| | ArXiv | Latest DL methods, preprints | `search_papers`, `read_paper` | | PubMed | Clinical validation, peer-reviewed | `pubmed_search_articles` | | Zotero | Existing library, organized refs | `zotero_search_items` |
For MCP configuration details, see [references/MCP_SETUP.md](references/MCP_SETUP.md).
---
## Standard Review Structure
```markdown # [Title]: State of the Art and Future Directions
## Key Points - [3-5 bullets summarizing main findings]
## Abstract
## 1. Introduction ### 1.1 Clinical Background ### 1.2 Technical Challenges ### 1.3 Scope and Contributions
## 2. Datasets and Evaluation Metrics ### 2.1 Public Datasets (Table 1) ### 2.2 Evaluation Metrics
## 3. Deep Learning Methods ### 3.1 [Category 1] ### 3.2 [Category 2] (Table 2: Method Comparison)
## 4. Downstream Applications
## 5. Commercial Products & Clinical Translation (Table 3)
## 6. Discussion ### 6.1 Current Limitations ### 6.2 Future Directions
## 7. Conclusion
## References ```
---
## Method Description Template
```markdown ### 3.X [Method Category]
[1-2 paragraph introduction with motivation]
**[Method Name]:** [Author] et al. [ref] proposed [method], which [innovation]: - [Key component 1] - [Key component 2] Achieves Dice of X.XX on [dataset].
**Limitations:** Despite advantages, [category] methods face: (1) [limit 1]; (2) [limit 2]. ```
---
## Citation Patterns
```markdown # Data citation "...achieved Dice of 0.89 [23]"
# Method citation "Gu et al. [45] proposed..."
# Multi-citation "Several studies demonstrated... [12, 15, 23]"
# Comparative "While [12] focused on..., [15] addressed..." ```
---
## Reference Files
| File | Purpose | |------|---------| | [references/WORKFLOW.md](references/WORKFLOW.md) | Detailed 7-phase workflow | | [references/TEMPLATES.md](references/TEMPLATES.md) | CLAUDE.md and IMPLEMENTATION_PLAN.md templates | | [references/DOMAINS.md](references/DOMAINS.md) | Domain-specific method categories | | [references/MCP_SETUP.md](references/MCP_SETUP.md) | MCP server configuration | | [references/QUALITY_CHECKLIST.md](references/QUALITY_CHECKLIST.md) | Pre-submission quality checklist |
Source provenance
Decision snapshot
867 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for medical-imaging-review, ready for a manual X post.
medical-imaging-review: Write comprehensive literature reviews for medical imaging AI research. Use when writing surv... 867 stars https://www.openagentskill.com/skills/leonchaox-medical-imaging-review?ref=x
Listing + install path for medical-imaging-review: https://www.openagentskill.com/skills/leonchaox-medical-imaging-review?ref=x Install: npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to LeonChaoX but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/leonchaox-medical-imaging-review?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/leonchaox-medical-imaging-review?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/leonchaox-medical-imaging-review/audit)
[](https://www.openagentskill.com/skills/leonchaox-medical-imaging-review?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)LeonChaoX
@leonchaox
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "medical-imaging-review" agent skill from https://github.com/LeonChaoX/qinyan-academic-skills/tree/main/skills/02-科学写作与学术交流/medical-imaging-review. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"leonchaox-medical-imaging-review","task":"Install medical-imaging-review","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review
Maintenance
active
2mo since push
Risk
Needs review
The skill relies on external MCP servers (ArXiv, PubMed, Zotero) which may not be available in all environments; no fallback strategy is described.
GitHub quality
867
71/100 Quality · 71/100 Trust
Coverage tags
Review notes
The skill relies on external MCP servers (ArXiv, PubMed, Zotero) which may not be available in all environments; no fallback strategy is described. · The SKILL.md references 'CLAUDE.md' which is Claude-specific, but the skill is intended for general agent use; this could be clarified.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
867 GitHub stars
Repo activity
867 stars, 75 forks
Maintenance
2mo since push
License
MIT
Install
npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-reviewDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20medical-imaging-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20medical-imaging-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/leonchaox-medical-imaging-review/install
Agent should check
Copy prompt
Task: Use medical-imaging-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20medical-imaging-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/leonchaox-medical-imaging-review/install
Install command: npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/leonchaox-medical-imaging-review/install
LLM text format
/api/skills/leonchaox-medical-imaging-review/install?format=text
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Use medical-imaging-review for this task. Review https://www.openagentskill.com/api/skills/leonchaox-medical-imaging-review/install, then install with: npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-reviewRegistry metadata
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Agent fit
Research agents
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Claude Code
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Research agents
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review first
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Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
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INFO867 GitHub stars
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INFO867 stars, 75 forks; issue activity unavailable in current metadata
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PASS2mo since push
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Run only in a sandbox and compare close alternatives before using it for real work.
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Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
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Automate repeated work
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Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
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Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: medical-imaging-review description: > Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging. metadata: author: user version: "2.0.0" allowed-tools: - Read - Write - Edit - Glob - Grep - Bash - WebSearch - WebFetch - Task - mcp__arxiv-mcp-server__search_papers - mcp__arxiv-mcp-server__download_paper - mcp__arxiv-mcp-server__read_paper - mcp__pubmed-mcp-server__pubmed_search_articles - mcp__zotero__zotero_search_items - mcp__zotero__zotero_get_item_fulltext ---
# Medical Imaging AI Literature Review Skill
Write comprehensive literature reviews following a systematic 7-phase workflow.
## Quick Start
1. **Initialize project** with three core files: - `CLAUDE.md` - Writing guidelines and terminology - `IMPLEMENTATION_PLAN.md` - Staged execution plan - `manuscript_draft.md` - Main manuscript
2. **Follow the 7-phase workflow** (see [references/WORKFLOW.md](references/WORKFLOW.md))
3. **Use domain-specific templates** (see [references/DOMAINS.md](references/DOMAINS.md))
---
## Core Principles
### Writing Style - **Hedging language**: "may", "suggests", "appears to", "has shown promising results" - **Avoid absolutes**: Never say "X is the best method" - **Citation support**: Every claim needs reference - **Limitations**: Each method section needs a Limitations paragraph
### Required Elements - **Key Points box** (3-5 bullets) after title - **Comparison table** for each major section - **Performance metrics**: Dice (0.XXX), HD95 (X.XX mm) - **Figure placeholders** with detailed captions - **References**: 80-120 typical, organized by topic
### Paragraph Structure ``` Topic sentence (main claim) → Supporting evidence (citations + data) → Analysis (critical evaluation) → Transition to next paragraph ```
---
## Literature Sources
Use multi-source strategy for comprehensive coverage:
| Source | Best For | Tools | |--------|----------|-------| | ArXiv | Latest DL methods, preprints | `search_papers`, `read_paper` | | PubMed | Clinical validation, peer-reviewed | `pubmed_search_articles` | | Zotero | Existing library, organized refs | `zotero_search_items` |
For MCP configuration details, see [references/MCP_SETUP.md](references/MCP_SETUP.md).
---
## Standard Review Structure
```markdown # [Title]: State of the Art and Future Directions
## Key Points - [3-5 bullets summarizing main findings]
## Abstract
## 1. Introduction ### 1.1 Clinical Background ### 1.2 Technical Challenges ### 1.3 Scope and Contributions
## 2. Datasets and Evaluation Metrics ### 2.1 Public Datasets (Table 1) ### 2.2 Evaluation Metrics
## 3. Deep Learning Methods ### 3.1 [Category 1] ### 3.2 [Category 2] (Table 2: Method Comparison)
## 4. Downstream Applications
## 5. Commercial Products & Clinical Translation (Table 3)
## 6. Discussion ### 6.1 Current Limitations ### 6.2 Future Directions
## 7. Conclusion
## References ```
---
## Method Description Template
```markdown ### 3.X [Method Category]
[1-2 paragraph introduction with motivation]
**[Method Name]:** [Author] et al. [ref] proposed [method], which [innovation]: - [Key component 1] - [Key component 2] Achieves Dice of X.XX on [dataset].
**Limitations:** Despite advantages, [category] methods face: (1) [limit 1]; (2) [limit 2]. ```
---
## Citation Patterns
```markdown # Data citation "...achieved Dice of 0.89 [23]"
# Method citation "Gu et al. [45] proposed..."
# Multi-citation "Several studies demonstrated... [12, 15, 23]"
# Comparative "While [12] focused on..., [15] addressed..." ```
---
## Reference Files
| File | Purpose | |------|---------| | [references/WORKFLOW.md](references/WORKFLOW.md) | Detailed 7-phase workflow | | [references/TEMPLATES.md](references/TEMPLATES.md) | CLAUDE.md and IMPLEMENTATION_PLAN.md templates | | [references/DOMAINS.md](references/DOMAINS.md) | Domain-specific method categories | | [references/MCP_SETUP.md](references/MCP_SETUP.md) | MCP server configuration | | [references/QUALITY_CHECKLIST.md](references/QUALITY_CHECKLIST.md) | Pre-submission quality checklist |
Source provenance
Decision snapshot
867 GitHub stars
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Install
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Growth loop
Scenario-led draft for medical-imaging-review, ready for a manual X post.
medical-imaging-review: Write comprehensive literature reviews for medical imaging AI research. Use when writing surv... 867 stars https://www.openagentskill.com/skills/leonchaox-medical-imaging-review?ref=x
Listing + install path for medical-imaging-review: https://www.openagentskill.com/skills/leonchaox-medical-imaging-review?ref=x Install: npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review
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mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsPermission surface
shell or command execution, filesystem or document access
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Docs
Usable metadata, review docs
Risk summary
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shell or command execution, filesystem or document access
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Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
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Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
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Docs
Usable metadata, review docs
Risk summary
Install readiness