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writing-systems-papers撰写系统论文

Agent Skill

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

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857

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:writing-systems-papers(撰写系统论文)
来源仓库:https://github.com/wanshuiyin/auto-claude-code-research-in-sleep
仓库路径:skills/writing-systems-papers
安装命令:
npx skills add https://github.com/wanshuiyin/auto-claude-code-research-in-sleep --skill writing-systems-papers
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

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复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/wanshuiyin/auto-claude-code-research-in-sleep --skill writing-systems-papers

简介

用于撰写系统相关的技术论文或研究报告。

  • 适合学术或工程类文档输出。writing-systems-papers 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 使用时需提供充分的研究材料和数据。
  • 建议遵循学术规范引用来源。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 安装方式:通过 npx 从 GitHub 仓库添加技能。

SKILL.md

Writing Systems Papers: Paragraph-Level Blueprint

Structural guidance for $ARGUMENTS

Relationship to Other ARIS Skills

  • paper-write: General paper generation workflow with citation verification. This skill complements it with systems-specific structural blueprints.
  • paper-slides: Conference presentation generation (Beamer+PPTX). Already covers talks — no overlap.
  • paper-plan: Research outline creation. Use paper-plan first, then this skill for paragraph-level structure.

Boundary: paper-write handles the generation workflow (LaTeX output, DBLP verification, section-by-section drafting). This skill provides the structural skeleton — page budgets, paragraph roles, and writing patterns specific to systems venues.


Page Allocation: 12-Page Systems Paper

SectionPagesKey Content
Abstract~0.25150–250 words, 5 sentences
S1 Introduction1.5–2Problem → Gap → Insight → Contributions
S2 Background & Motivation1–1.5Terms + Production observations
S3 Design3–4Architecture + Modules + Alternatives
S4 Implementation0.5–1Prototype, LOC, engineering
S5 Evaluation3–4Setup + E2E + Ablation + Scalability
S6 Related Work1By methodology, explicit comparison
S7 Conclusion0.53-sentence summary

Section Blueprints

Abstract (5 sentences)

S1: Problem context and importance
S2: Gap in existing approaches
S3: Thesis — "X is better for Y in environment Z" (Irene Zhang formula)
S4: Approach summary + headline results
S5: Impact or availability

Sources: Levin & Redell — "Can you state the new idea concisely?"; Irene Zhang — "abstract cannot use terms introduced in the paper."

S1 Introduction (1.5–2 pages)

  1. Problem (~0.5p) — Domain + concrete numbers + why it matters
  2. Gap analysis (~0.5p) — G1–Gn: specific shortcomings with evidence
  3. Key insight (1 para) — Thesis: "X is better for Y in Z"
  4. Contributions (~0.5p) — 3–5 numbered, testable claims with §N references

Pattern: hzwer Move 1 (territory) → Move 2 (niche) → Move 3 (occupy).

S2 Background & Motivation (1–1.5 pages)

  1. Technical background (~0.5p) — Define-before-use (Gernot Heiser)
  2. Observations (~0.5–1p) — O1, O2, O3 from production data → design insights

S3 Design (3–4 pages)

  1. Architecture overview (~0.5p) — Diagram first (Yi Ding: "draw a picture first")
  2. Module details (~2–2.5p) — Per module: choice, alternatives, why
  3. Trade-offs (~0.5–1p) — Summary of design decisions

Rule: "Every design choice must discuss alternatives" (Irene Zhang).

S4 Implementation (0.5–1 page)

Language, LOC, framework, key engineering decisions. Keep concise.

S5 Evaluation (3–4 pages)

  1. Setup (~0.5p) — Hardware, baselines, workloads, metrics
  2. End-to-end (~1–1.5p) — X vs baselines for Y on Z
  3. Ablation (~1–1.5p) — Remove each component, measure impact
  4. Scalability (~0.5p) — Behavior at increasing scale

Three-statement rule (Irene Zhang): Every conclusion stated as:

  • Hypothesis (section opening)
  • Conclusion (section closing)
  • Caption (figure caption)

S6 Related Work (1 page)

Group by methodology. For each group: what they do, limitation, how we differ.

S7 Conclusion (0.5 page)

Three sentences: problem, solution, result. No new information.


Writing Patterns

Pattern 1: Gap Analysis

Enumerate G1–Gn in intro → A1–An in design → verify in evaluation. *Example*: Lucid (ASPLOS'23) — 5 gaps mapped to 5 answers.

Pattern 2: Observation-Driven

O1–O3 from production data → insights → design components. *Example*: GFS (arXiv 2025) — 3 observations drive 3 components.

Pattern 3: Contribution List

Numbered contributions in intro, each with §N cross-reference. *Example*: Blox (EuroSys'24) — 7 contributions; Sia (SOSP'23) — 5 contributions.

Pattern 4: Thesis Formula

"X is better for Y in Z" structures the entire paper. Combine with other patterns for maximum impact.


Conference Differences

Always verify against current CFP — rules change yearly.
VenueFormatPagesCamera-Ready
OSDIUSENIX1214
NSDIUSENIX1214
SOSPACM SIGOPS12
ASPLOSACM SIGPLAN1113
EuroSysACM12

Based on 2025/2026 CFPs.


Workflow

1. Determine venue and page limit
2. Choose writing pattern (Gap/Observation/Contribution/Thesis)
3. Allocate pages per section using the table above
4. Draft Abstract following 5-sentence template
5. Draft Introduction: Problem → Gap → Insight → Contributions
6. Draft Motivation with production observations (if available)
7. Draw architecture figure, then write Design
8. Draft Implementation (concise)
9. Draft Evaluation: setup → E2E → ablation → scalability
10. Draft Related Work by methodology groups
11. Draft Conclusion: 3 sentences
12. Run pre-submission checklist
13. Hand off to /paper-write for LaTeX generation and citation verification

Quick Self-Check

  • Thesis follows "X is better for Y in Z"
  • 3–5 numbered contributions with §N references
  • Design discusses alternatives for every major choice
  • Eval conclusions stated 3 times (hypothesis, result, caption)
  • Related work grouped by methodology
  • Page budget within venue limits
  • No fabricated observations, traces, or results
  • All citations verified (delegate to /paper-write)

Academic Integrity

  • Never fabricate observations, traces, or experimental results
  • Never generate citations from memory — use /paper-write citation workflow
  • Disclose LLM use per venue policy
  • This blueprint provides structural guidance, not copy-paste text

Authoritative Sources

  1. Levin & Redell — "How (and How Not) to Write a Good Systems Paper" (USENIX)
  2. Irene Zhang — "Hints on how to write an SOSP paper"
  3. Gernot Heiser — Style Guide + Paper Writing Talk
  4. Timothy Roscoe — "Writing reviews for systems conferences"
  5. Yi Ding — "How to write good systems papers?"
  6. hzwer & DingXiaoH — WritingAIPaper (GitHub)

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