Skills Plugins MCP Prompt Model 博客 我的中心

annu-rev-food

Author-guideline skill for Annual Review of Food Science and Technology (Annual Reviews, ISSN 1941-1413). Use to format or check an invited review for this journal — review structure, author–date Annual Reviews references, and figure specs. Triggers: submit to Annual Review of Food Science and Technology, Annual Reviews guidelines, invited food review formatting. Also fires when the user wants to publish on/in this journal, format a manuscript for it, or match its reference/citation style.

DeepseekModel Curated skill Quality Good · 64 v1.0.0

Get

https://deepseekmodel.com/api/download.php?id=pangenomeai-academic-skills-food-nutrition-journals-annu-rev-food-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name annu-rev-food description Author-guideline skill for Annual Review of Food Science and Technology (Annual Reviews, ISSN 1941-1413). Use to format or check an invited review for this journal — review structure, author–date Annual Reviews references, and figure specs. Triggers: submit to Annual Review of Food Science and Technology, Annual Reviews guidelines, invited food review formatting. Also fires when the user wants to publish on/in this journal, format a manuscript for it, or match its reference/citation style. metadata {"publisher":"Annual Reviews","issn":"1941-1413","verified":"2026-07","source":"https://www.annualreviews.org/journal/food"} Annual Review of Food Science and Technology — Author Guideline Skill Publisher: Annual Reviews · ISSN: 1941-1413 · Source: Journal page · Verified: 2026-07 (confirm at source). Aims & scope Authoritative, invited critical reviews across food science and technology: food chemistry, microbiology, engineering, safety, nutrition, and emerging technologies. Articles are commissioned by the Editorial Committee — unsolicited submissions are generally not accepted; propose topics to the editors first. Article type Review articles only (comprehensive, synthesis-driven, forward-looking). Typical length is substantial (often ~8,000–10,000 words); confirm the assigned length with the production editor. Manuscript structure Title → Authors & affiliations → Abstract → Keywords → Introduction → thematic sections with descriptive headings → Summary Points / Future Issues (Annual Reviews signature elements) → Disclosure Statement → Acknowledgments → Literature Cited. Provide "Summary Points" and "Future Issues" bullet lists. Abstract: ~150–250 words. Keywords: ~6–8. Disclosure statement: required (funding, affiliations, potential bias). Reference style Author–date (name–year), Annual Reviews style. In-text (Author & Author 2023) ; "Literature Cited" list alphabetical. Article titles included. Example: Author AB, Author CD. 2023. Title of the review article. Annu. Rev. Food Sci. Technol. 14:123–45 Figures & tables Figures ≥300 dpi (line art higher); Annual Reviews uses professional redraw — supply clear, editable source files and permissions for any reused figures; RGB/CMYK per production; editable tables; cite in order. Submission checklist Topic pre-agreed/invited by the Editorial Committee · [ ] Summary Points + Future Issues lists Abstract ~150–250 words · [ ] 6–8 keywords · [ ] Disclosure statement Author–date (Annual Reviews) Literature Cited · [ ] Permissions for reused figures Figures ≥300 dpi, editable source provided Also covers — Annual Review of Nutrition Same Annual Reviews format (invited only; author–date; Summary Points / Future Issues). Annual Review of Nutrition (ANNU REV NUTR) — invited comprehensive nutrition reviews. Formatting constraints journal: Annual Review of Food Science and Technology; Annual Review of Nutrition publisher: Annual Reviews submission: invited-only reference_style: author-date-annual-reviews abstract_words: 250 keywords_max: 8 required_elements: [ summary_points , future_issues , disclosure_statement ] figure_dpi: { halftone: 300 , line_art: 1000 }
Keywords that activate this skill. Click one to copy it.

This skill does not provide trigger words.

The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

验证码 --

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。