Creator · PangenomeAI
Last updated · Sep 1, 2026
Open, MIT-licensed food & nutrition science research skills for Claude Code, Codex, and MiniMax Agent — multi-agent literature/systematic review, journal-aware writing, peer review, and figures, plus author-guideline skills for 150+ journals. Initiated by the Food Science Group, University of Melbourne.
Creator · PangenomeAI
Last updated · Sep 1, 2026
Open, MIT-licensed food & nutrition science research skills for Claude Code, Codex, and MiniMax Agent — multi-agent literature/systematic review, journal-aware writing, peer review, and figures, plus author-guideline skills for 150+ journals. Initiated by the Food Science Group, University of Melbourne.
Creator · PangenomeAI
Last updated · Sep 1, 2026
Open, MIT-licensed food & nutrition science research skills for Claude Code, Codex, and MiniMax Agent — multi-agent literature/systematic review, journal-aware writing, peer review, and figures, plus author-guideline skills for 150+ journals. Initiated by the Food Science Group, University of Melbourne.
Creator · PangenomeAI
Last updated · Sep 1, 2026
Open, MIT-licensed food & nutrition science research skills for Claude Code, Codex, and MiniMax Agent — multi-agent literature/systematic review, journal-aware writing, peer review, and figures, plus author-guideline skills for 150+ journals. Initiated by the Food Science Group, University of Melbourne.
Sandbox only
Install targets
Codex install prompt
Install the "Academic Skills Food Nutrition" agent skill from https://github.com/PangenomeAI/academic-skills-food-nutrition. 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: A collection of MIT-licensed AI agent skills for food and nutrition science research, including literature review, systematic review, and journal formatting. 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":"pangenomeai-academic-skills-food-nutrition","task":"Install Academic Skills Food Nutrition","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 + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add PangenomeAI/academic-skills-food-nutrition
Maintenance
active
2mo since push
Risk
Needs review
Low GitHub adoption signal
GitHub quality
16
67/100 Quality · 74/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
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
PromisingUseful candidate, but compare it with alternatives before adopting.
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
16 GitHub stars
Repo activity
16 stars, 1 forks
Maintenance
2mo since push
License
MIT
Install
npx skills add PangenomeAI/academic-skills-food-nutrition
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 PangenomeAI/academic-skills-food-nutritionDo 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
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
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.
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%20Academic%20Skills%20Food%20Nutrition%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Academic%20Skills%20Food%20Nutrition%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/pangenomeai-academic-skills-food-nutrition/install
Agent should check
Copy prompt
Task: Use Academic Skills Food Nutrition in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Academic%20Skills%20Food%20Nutrition%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/pangenomeai-academic-skills-food-nutrition/install
Install command: npx skills add PangenomeAI/academic-skills-food-nutrition
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/pangenomeai-academic-skills-food-nutrition/install
LLM text format
/api/skills/pangenomeai-academic-skills-food-nutrition/install?format=text
Find alternatives
/api/skills/search?q=Academic%20Skills%20Food%20Nutrition&limit=3
Agent prompt
Use Academic Skills Food Nutrition for this task. Review https://www.openagentskill.com/api/skills/pangenomeai-academic-skills-food-nutrition/install, then install with: npx skills add PangenomeAI/academic-skills-food-nutritionRegistry 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/pangenomeai-academic-skills-food-nutrition
LLM text
/api/registry/manifest/pangenomeai-academic-skills-food-nutrition?format=text
Install alias
/api/registry/install/pangenomeai-academic-skills-food-nutrition
Recommend
/api/registry/recommend?task=Use%20Academic%20Skills%20Food%20Nutrition%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Python, Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
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
FIX16 GitHub stars
Stars/forks activity
FIX16 stars, 1 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
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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
A relentless interview to sharpen a plan or design.
<p align="center"> <img src="assets/banner.svg" alt="Academic Skills for Food & Nutrition Science — open AI research skills for Claude Code and Codex" width="100%"> </p>
# Academic Skills for Food & Nutrition Science
[](https://doi.org/10.5281/zenodo.21372994) [](LICENSE)
> **AI research assistant for food, nutrition and agricultural science** — Claude > Code, Codex, MiniMax Agent, and OpenClaw skills for **literature > review, systematic review (PRISMA & meta-analysis), data analysis and > statistics, scientific figures, journal formatting, and peer review**. > Food, nutrition & agriculture research automation, end to end.
Original, **MIT-licensed** skills for the food, nutrition & agriculture research lifecycle — **research → write → review → revise → finalize** — where each core skill is a **multi-subagent system** and a master pipeline orchestrates them, with built-in knowledge of food, nutrition & agriculture journal author guidelines and a scientific figure workflow. Two parallel skill sets share one engine: **`food-*`** for food & nutrition science and **`agri-*`** for agricultural science. Supports Claude Code, Codex, MiniMax Agent, and OpenClaw.
This open project was **initiated by the Food Science Group at the University of Melbourne**, and we warmly welcome food & nutrition research groups from around the world to use, adapt, and contribute to it. MIT-licensed and open source.
## Install
**Claude Code** (one command):
```bash claude plugin marketplace add PangenomeAI/academic-skills-food-nutrition && \ claude plugin install academic-skills-food-nutrition@academic-skills-food-nutrition ```
Then restart Claude Code (or run `/plugin`). Update later with `claude plugin update academic-skills-food-nutrition`.
**Claude Code, Codex, and MiniMax Agent** (one command via the installer):
```bash curl -fsSL https://raw.githubusercontent.com
Frameworks & tools
Decision snapshot
recent repository activity
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 Academic Skills Food Nutrition, ready for a manual X post.
Academic Skills Food Nutrition: A collection of MIT-licensed AI agent skills for food and nutrition science research, includi... 16 stars https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition?ref=x
Listing + install path for Academic Skills Food Nutrition: https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition?ref=x Install: npx skills add PangenomeAI/academic-skills-food-nutrition
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 Community indexed listing is attributed to PangenomeAI 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/pangenomeai-academic-skills-food-nutrition?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition/audit)
[](https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)PangenomeAI
@pangenomeai
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 Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsSandbox only
Install targets
Codex install prompt
Install the "Academic Skills Food Nutrition" agent skill from https://github.com/PangenomeAI/academic-skills-food-nutrition. 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: A collection of MIT-licensed AI agent skills for food and nutrition science research, including literature review, systematic review, and journal formatting. 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":"pangenomeai-academic-skills-food-nutrition","task":"Install Academic Skills Food Nutrition","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 + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add PangenomeAI/academic-skills-food-nutrition
Maintenance
active
2mo since push
Risk
Needs review
Low GitHub adoption signal
GitHub quality
16
67/100 Quality · 74/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
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
PromisingUseful candidate, but compare it with alternatives before adopting.
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
16 GitHub stars
Repo activity
16 stars, 1 forks
Maintenance
2mo since push
License
MIT
Install
npx skills add PangenomeAI/academic-skills-food-nutrition
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 PangenomeAI/academic-skills-food-nutritionDo 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
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
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.
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%20Academic%20Skills%20Food%20Nutrition%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Academic%20Skills%20Food%20Nutrition%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/pangenomeai-academic-skills-food-nutrition/install
Agent should check
Copy prompt
Task: Use Academic Skills Food Nutrition in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Academic%20Skills%20Food%20Nutrition%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/pangenomeai-academic-skills-food-nutrition/install
Install command: npx skills add PangenomeAI/academic-skills-food-nutrition
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/pangenomeai-academic-skills-food-nutrition/install
LLM text format
/api/skills/pangenomeai-academic-skills-food-nutrition/install?format=text
Find alternatives
/api/skills/search?q=Academic%20Skills%20Food%20Nutrition&limit=3
Agent prompt
Use Academic Skills Food Nutrition for this task. Review https://www.openagentskill.com/api/skills/pangenomeai-academic-skills-food-nutrition/install, then install with: npx skills add PangenomeAI/academic-skills-food-nutritionRegistry 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/pangenomeai-academic-skills-food-nutrition
LLM text
/api/registry/manifest/pangenomeai-academic-skills-food-nutrition?format=text
Install alias
/api/registry/install/pangenomeai-academic-skills-food-nutrition
Recommend
/api/registry/recommend?task=Use%20Academic%20Skills%20Food%20Nutrition%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Python, Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
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
FIX16 GitHub stars
Stars/forks activity
FIX16 stars, 1 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
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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
A relentless interview to sharpen a plan or design.
<p align="center"> <img src="assets/banner.svg" alt="Academic Skills for Food & Nutrition Science — open AI research skills for Claude Code and Codex" width="100%"> </p>
# Academic Skills for Food & Nutrition Science
[](https://doi.org/10.5281/zenodo.21372994) [](LICENSE)
> **AI research assistant for food, nutrition and agricultural science** — Claude > Code, Codex, MiniMax Agent, and OpenClaw skills for **literature > review, systematic review (PRISMA & meta-analysis), data analysis and > statistics, scientific figures, journal formatting, and peer review**. > Food, nutrition & agriculture research automation, end to end.
Original, **MIT-licensed** skills for the food, nutrition & agriculture research lifecycle — **research → write → review → revise → finalize** — where each core skill is a **multi-subagent system** and a master pipeline orchestrates them, with built-in knowledge of food, nutrition & agriculture journal author guidelines and a scientific figure workflow. Two parallel skill sets share one engine: **`food-*`** for food & nutrition science and **`agri-*`** for agricultural science. Supports Claude Code, Codex, MiniMax Agent, and OpenClaw.
This open project was **initiated by the Food Science Group at the University of Melbourne**, and we warmly welcome food & nutrition research groups from around the world to use, adapt, and contribute to it. MIT-licensed and open source.
## Install
**Claude Code** (one command):
```bash claude plugin marketplace add PangenomeAI/academic-skills-food-nutrition && \ claude plugin install academic-skills-food-nutrition@academic-skills-food-nutrition ```
Then restart Claude Code (or run `/plugin`). Update later with `claude plugin update academic-skills-food-nutrition`.
**Claude Code, Codex, and MiniMax Agent** (one command via the installer):
```bash curl -fsSL https://raw.githubusercontent.com
Frameworks & tools
Decision snapshot
recent repository activity
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 Academic Skills Food Nutrition, ready for a manual X post.
Academic Skills Food Nutrition: A collection of MIT-licensed AI agent skills for food and nutrition science research, includi... 16 stars https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition?ref=x
Listing + install path for Academic Skills Food Nutrition: https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition?ref=x Install: npx skills add PangenomeAI/academic-skills-food-nutrition
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 Community indexed listing is attributed to PangenomeAI 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/pangenomeai-academic-skills-food-nutrition?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition/audit)
[](https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)PangenomeAI
@pangenomeai
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 Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsSandbox only
Install targets
Codex install prompt
Install the "Academic Skills Food Nutrition" agent skill from https://github.com/PangenomeAI/academic-skills-food-nutrition. 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: A collection of MIT-licensed AI agent skills for food and nutrition science research, including literature review, systematic review, and journal formatting. 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":"pangenomeai-academic-skills-food-nutrition","task":"Install Academic Skills Food Nutrition","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 + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add PangenomeAI/academic-skills-food-nutrition
Maintenance
active
2mo since push
Risk
Needs review
Low GitHub adoption signal
GitHub quality
16
67/100 Quality · 74/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
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
PromisingUseful candidate, but compare it with alternatives before adopting.
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
16 GitHub stars
Repo activity
16 stars, 1 forks
Maintenance
2mo since push
License
MIT
Install
npx skills add PangenomeAI/academic-skills-food-nutrition
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 PangenomeAI/academic-skills-food-nutritionDo 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
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
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.
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%20Academic%20Skills%20Food%20Nutrition%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Academic%20Skills%20Food%20Nutrition%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/pangenomeai-academic-skills-food-nutrition/install
Agent should check
Copy prompt
Task: Use Academic Skills Food Nutrition in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Academic%20Skills%20Food%20Nutrition%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/pangenomeai-academic-skills-food-nutrition/install
Install command: npx skills add PangenomeAI/academic-skills-food-nutrition
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/pangenomeai-academic-skills-food-nutrition/install
LLM text format
/api/skills/pangenomeai-academic-skills-food-nutrition/install?format=text
Find alternatives
/api/skills/search?q=Academic%20Skills%20Food%20Nutrition&limit=3
Agent prompt
Use Academic Skills Food Nutrition for this task. Review https://www.openagentskill.com/api/skills/pangenomeai-academic-skills-food-nutrition/install, then install with: npx skills add PangenomeAI/academic-skills-food-nutritionRegistry 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/pangenomeai-academic-skills-food-nutrition
LLM text
/api/registry/manifest/pangenomeai-academic-skills-food-nutrition?format=text
Install alias
/api/registry/install/pangenomeai-academic-skills-food-nutrition
Recommend
/api/registry/recommend?task=Use%20Academic%20Skills%20Food%20Nutrition%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Python, Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
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
FIX16 GitHub stars
Stars/forks activity
FIX16 stars, 1 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
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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
A relentless interview to sharpen a plan or design.
<p align="center"> <img src="assets/banner.svg" alt="Academic Skills for Food & Nutrition Science — open AI research skills for Claude Code and Codex" width="100%"> </p>
# Academic Skills for Food & Nutrition Science
[](https://doi.org/10.5281/zenodo.21372994) [](LICENSE)
> **AI research assistant for food, nutrition and agricultural science** — Claude > Code, Codex, MiniMax Agent, and OpenClaw skills for **literature > review, systematic review (PRISMA & meta-analysis), data analysis and > statistics, scientific figures, journal formatting, and peer review**. > Food, nutrition & agriculture research automation, end to end.
Original, **MIT-licensed** skills for the food, nutrition & agriculture research lifecycle — **research → write → review → revise → finalize** — where each core skill is a **multi-subagent system** and a master pipeline orchestrates them, with built-in knowledge of food, nutrition & agriculture journal author guidelines and a scientific figure workflow. Two parallel skill sets share one engine: **`food-*`** for food & nutrition science and **`agri-*`** for agricultural science. Supports Claude Code, Codex, MiniMax Agent, and OpenClaw.
This open project was **initiated by the Food Science Group at the University of Melbourne**, and we warmly welcome food & nutrition research groups from around the world to use, adapt, and contribute to it. MIT-licensed and open source.
## Install
**Claude Code** (one command):
```bash claude plugin marketplace add PangenomeAI/academic-skills-food-nutrition && \ claude plugin install academic-skills-food-nutrition@academic-skills-food-nutrition ```
Then restart Claude Code (or run `/plugin`). Update later with `claude plugin update academic-skills-food-nutrition`.
**Claude Code, Codex, and MiniMax Agent** (one command via the installer):
```bash curl -fsSL https://raw.githubusercontent.com
Frameworks & tools
Decision snapshot
recent repository activity
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 Academic Skills Food Nutrition, ready for a manual X post.
Academic Skills Food Nutrition: A collection of MIT-licensed AI agent skills for food and nutrition science research, includi... 16 stars https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition?ref=x
Listing + install path for Academic Skills Food Nutrition: https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition?ref=x Install: npx skills add PangenomeAI/academic-skills-food-nutrition
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 Community indexed listing is attributed to PangenomeAI 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/pangenomeai-academic-skills-food-nutrition?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition/audit)
[](https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)PangenomeAI
@pangenomeai
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 Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsSandbox only
Install targets
Codex install prompt
Install the "Academic Skills Food Nutrition" agent skill from https://github.com/PangenomeAI/academic-skills-food-nutrition. 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: A collection of MIT-licensed AI agent skills for food and nutrition science research, including literature review, systematic review, and journal formatting. 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":"pangenomeai-academic-skills-food-nutrition","task":"Install Academic Skills Food Nutrition","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 + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add PangenomeAI/academic-skills-food-nutrition
Maintenance
active
2mo since push
Risk
Needs review
Low GitHub adoption signal
GitHub quality
16
67/100 Quality · 74/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
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
PromisingUseful candidate, but compare it with alternatives before adopting.
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
16 GitHub stars
Repo activity
16 stars, 1 forks
Maintenance
2mo since push
License
MIT
Install
npx skills add PangenomeAI/academic-skills-food-nutrition
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 PangenomeAI/academic-skills-food-nutritionDo 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
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
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.
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%20Academic%20Skills%20Food%20Nutrition%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Academic%20Skills%20Food%20Nutrition%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/pangenomeai-academic-skills-food-nutrition/install
Agent should check
Copy prompt
Task: Use Academic Skills Food Nutrition in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Academic%20Skills%20Food%20Nutrition%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/pangenomeai-academic-skills-food-nutrition/install
Install command: npx skills add PangenomeAI/academic-skills-food-nutrition
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/pangenomeai-academic-skills-food-nutrition/install
LLM text format
/api/skills/pangenomeai-academic-skills-food-nutrition/install?format=text
Find alternatives
/api/skills/search?q=Academic%20Skills%20Food%20Nutrition&limit=3
Agent prompt
Use Academic Skills Food Nutrition for this task. Review https://www.openagentskill.com/api/skills/pangenomeai-academic-skills-food-nutrition/install, then install with: npx skills add PangenomeAI/academic-skills-food-nutritionRegistry 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/pangenomeai-academic-skills-food-nutrition
LLM text
/api/registry/manifest/pangenomeai-academic-skills-food-nutrition?format=text
Install alias
/api/registry/install/pangenomeai-academic-skills-food-nutrition
Recommend
/api/registry/recommend?task=Use%20Academic%20Skills%20Food%20Nutrition%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Python, Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
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
FIX16 GitHub stars
Stars/forks activity
FIX16 stars, 1 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
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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
A relentless interview to sharpen a plan or design.
<p align="center"> <img src="assets/banner.svg" alt="Academic Skills for Food & Nutrition Science — open AI research skills for Claude Code and Codex" width="100%"> </p>
# Academic Skills for Food & Nutrition Science
[](https://doi.org/10.5281/zenodo.21372994) [](LICENSE)
> **AI research assistant for food, nutrition and agricultural science** — Claude > Code, Codex, MiniMax Agent, and OpenClaw skills for **literature > review, systematic review (PRISMA & meta-analysis), data analysis and > statistics, scientific figures, journal formatting, and peer review**. > Food, nutrition & agriculture research automation, end to end.
Original, **MIT-licensed** skills for the food, nutrition & agriculture research lifecycle — **research → write → review → revise → finalize** — where each core skill is a **multi-subagent system** and a master pipeline orchestrates them, with built-in knowledge of food, nutrition & agriculture journal author guidelines and a scientific figure workflow. Two parallel skill sets share one engine: **`food-*`** for food & nutrition science and **`agri-*`** for agricultural science. Supports Claude Code, Codex, MiniMax Agent, and OpenClaw.
This open project was **initiated by the Food Science Group at the University of Melbourne**, and we warmly welcome food & nutrition research groups from around the world to use, adapt, and contribute to it. MIT-licensed and open source.
## Install
**Claude Code** (one command):
```bash claude plugin marketplace add PangenomeAI/academic-skills-food-nutrition && \ claude plugin install academic-skills-food-nutrition@academic-skills-food-nutrition ```
Then restart Claude Code (or run `/plugin`). Update later with `claude plugin update academic-skills-food-nutrition`.
**Claude Code, Codex, and MiniMax Agent** (one command via the installer):
```bash curl -fsSL https://raw.githubusercontent.com
Frameworks & tools
Decision snapshot
recent repository activity
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 Academic Skills Food Nutrition, ready for a manual X post.
Academic Skills Food Nutrition: A collection of MIT-licensed AI agent skills for food and nutrition science research, includi... 16 stars https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition?ref=x
Listing + install path for Academic Skills Food Nutrition: https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition?ref=x Install: npx skills add PangenomeAI/academic-skills-food-nutrition
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 Community indexed listing is attributed to PangenomeAI 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/pangenomeai-academic-skills-food-nutrition?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition/audit)
[](https://www.openagentskill.com/skills/pangenomeai-academic-skills-food-nutrition?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)PangenomeAI
@pangenomeai
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 Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K Starsstandard package or runtime install path
Permission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
standard package or runtime install path
Permission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
standard package or runtime install path
Permission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
standard package or runtime install path
Permission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness