Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Agsy Writing Style

ASecurity

Use when drafting or polishing an Agricultural Systems (AgSy) manuscript so it reads clearly for a systems-science audience, follows the journal's format, and meets front-matter requirements (abstract <= 250 words, Highlights, graphical abstract). Research papers run to about 8,000 words (no hard cap). Tightens prose and format; it does not invent content.

1,052 stars
0 votes
0 copies
0 views
Added 6/4/2026
ai-agents

Security Analysis

A100/100

Scanned 6/4/2026

Install to Claude Code

$npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill agsy-writing-style --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Agsy Writing Style?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Agsy Writing Style
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/brycewang-stanford-agsy-writing-style/badge)](https://www.skillsdirectory.com/skills/brycewang-stanford-agsy-writing-style)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: agsy-writing-style
description: Use when drafting or polishing an Agricultural Systems (AgSy) manuscript so it reads clearly for a systems-science audience, follows the journal's format, and meets front-matter requirements (abstract <= 250 words, Highlights, graphical abstract). Research papers run to about 8,000 words (no hard cap). Tightens prose and format; it does not invent content.
---

# Writing Style (agsy-writing-style)

An AgSy paper must be readable by a broad **systems-science** audience — agronomists, modellers,
economists, and environmental scientists — and prepared with the journal's front matter. This skill is
about communicating a systems analysis clearly and meeting Elsevier's format, not about generating
claims.

## When to trigger

- Drafting the introduction, framing the contribution, or final polish
- Writing the **≤ 250-word abstract**, the **Highlights**, or the **graphical abstract**
- Tightening a long methods/results section toward the ~8,000-word guideline
- Aligning references and format to the journal's style before submission

## Reach the systems-science audience

1. **Front-load the systems contribution.** By the end of the introduction the reader knows the system,
   the interaction/trade-off in question, the modelling approach, and why the result matters. Don't make
   a reader dig for the "so what."
2. **Define the system early.** State boundary, components, and hierarchical level so a non-specialist
   in your exact subsystem can follow (see `agsy-systems-framing-and-modeling`).
3. **Explain the model in plain terms first**, then in detail. A reader should grasp what the model does
   before meeting its equations.
4. **Argument-first prose.** Lead with the systems insight; use model output and statistics to support
   it. Avoid "the model shows…" without saying what it shows about the system and why it matters.
5. **Signpost.** Clear IMRaD-style structure so a reader can navigate framing → model → evaluation →
   trade-offs → implications.

## Format & front matter (verify current requirements)

- **Abstract**: **≤ 250 words**, stating purpose, principal results, and major conclusions.
- **Highlights**: a few short bullet points capturing the core systems findings.
- **Graphical abstract**: one figure summarizing the work for an interdisciplinary audience — often a
  conceptual system diagram or a trade-off result.
- **References**: format to the journal's style; manage with Zotero/Mendeley/BibTeX (Elsevier
  `elsarticle` for LaTeX). 
- **Declarations**: CRediT roles, declaration of competing interest, ORCID (see `agsy-submission`).

## Length discipline (research paper ~8,000 words; no hard cap)

- Move full calibration tables, parameter lists, and exhaustive scenario grids to supplementary material.
- Cut throat-clearing and literature dumps; engage the systems debate, not every paper.
- Prefer one decisive trade-off figure to three redundant tables.

## Anti-patterns

- An intro that never states the systems contribution or the trade-off at stake
- An abstract over 250 words, or one that hides the result; missing Highlights / graphical abstract
- Dropping a model's equations on the reader before explaining what it does
- Describing a single factor as if it were a system; burying the interaction
- Mixed reference styles or missing declarations

## Output format

```
【Systems contribution stated by end of intro?】[Y/N]
【System defined early?】boundary + components + level? [Y/N]
【Abstract】word count (≤250)
【Highlights + graphical abstract】prepared? [Y/N]
【Length】near ~8,000 words; extras moved to supplementary? [Y/N]
【References + declarations】styled + CRediT/COI/ORCID ready? [Y/N]
【Next】agsy-impact-and-implications
```

## Supplementary resources

- [`../../resources/external_tools.md`](../../resources/external_tools.md) — reference managers and Elsevier typesetting tools
- [`../../resources/official-source-map.md`](../../resources/official-source-map.md) — abstract cap, Highlights, graphical abstract, declarations

Attribution

brycewang-stanfordbrycewang-stanford
View sourceMore from brycewang-stanford →
SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1074701 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

693161 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

691 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →