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Systems Paper Writing

OrganizationPopular
Orchestra-Research
systems-paper-writing

Comprehensive guide for writing systems papers targeting OSDI, SOSP, ASPLOS, NSDI, and EuroSys. Provides paragraph-level structural blueprints, writing patterns, venue-specific checklists, reviewer guidelines, LaTeX templates, and conference deadlines. Use this skill for all systems conference paper writing.

Overview

PublisherOrchestra-Research
RepositoryAI-Research-SKILLs
Skill namesystems-paper-writing
Stars
13.5K
Forks
949
Bundled files
15
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 15 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Orchestra-Research on GitHub. Read the source before you install it.

Installation

Install the Systems Paper Writing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/20-ml-paper-writing/systems-paper-writing
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Orchestra-Research/AI-Research-SKILLs.git /tmp/AI-Research-SKILLs
mkdir -p .claude/skills
cp -r /tmp/AI-Research-SKILLs/20-ml-paper-writing/systems-paper-writing .claude/skills/systems-paper-writing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Systems Paper Writing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Systems Paper Writing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Systems Paper Writing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Systems Paper Writing: Paragraph-Level Structural Blueprint

Fine-grained structural guidance for writing 10–12 page systems papers targeting top systems venues: OSDI, SOSP, ASPLOS, NSDI, and EuroSys. This skill provides page allocation per section, paragraph-level blueprints, and writing patterns distilled from authoritative guides and best-paper analysis.

When to Use This Skill

ScenarioUse This SkillUse ml-paper-writing Instead
Structuring a 12-page OSDI/SOSP paper✅
Page budget and paragraph planning✅
Systems-specific evaluation structure✅
General ML paper writing philosophy✅
Citation verification workflow✅
LaTeX templates and formatting✅
NeurIPS/ICML/ICLR paper structure✅

Boundary: ml-paper-writing provides general writing philosophy, multi-venue templates, and citation verification. This skill focuses exclusively on paragraph-level structural blueprints for systems conferences.


Authoritative Sources

This blueprint synthesizes guidance from established systems researchers:

  1. Levin & Redell — "How (and How Not) to Write a Good Systems Paper" (SOSP'83 PC Chairs, USENIX/ACM SIGOPS)
  2. Irene Zhang (MSR/UW) — "Hints on how to write an SOSP paper" (SOSP/OSDI PC)
  3. Gernot Heiser (UNSW, seL4) — Style Guide + Paper Writing Talk
  4. Timothy Roscoe (ETH Zürich) — "Writing reviews for systems conferences"
  5. Mike Dahlin (UT Austin/Google) — "Giving a Conference Talk"
  6. Yi Ding — "How to write good systems papers?"
  7. hzwer & DingXiaoH — WritingAIPaper (GitHub 1.3k+ stars)

Full citations and URLs: see references/section-blueprints.md.


12-Page Systems Paper Blueprint

Overview: Page Allocation

SectionPagesPurpose
Abstract~0.25150–250 words, 5-sentence structure
S1 Introduction1.5–2Problem → Gap → Insight → Contributions
S2 Background & Motivation1–1.5Terms + Production observations
S3 Design3–4Architecture + Module details + Alternatives
S4 Implementation0.5–1Prototype details, LOC, key engineering
S5 Evaluation3–4Setup + End-to-end + Microbenchmarks + Scalability
S6 Related Work1Grouped by methodology, explicit comparison
S7 Conclusion0.53-sentence summary
Total~12Submission: 12 pages strict (USENIX) / 11 pages (ACM ASPLOS). Camera-ready: up to 14 pages (USENIX) / 13 pages (ACM). Ranges above span submission through camera-ready. Target 12 pages for initial submission. References unlimited.

Abstract (150–250 words, 5 sentences)

text
Sentence 1: Problem context and importance
Sentence 2: Gap in existing approaches
Sentence 3: Key insight or thesis ("X is better for Y in environment Z")
Sentence 4: Summary of approach and key results
Sentence 5: Broader impact or availability

Source: Levin & Redell — "Can you state the new idea concisely? Use them in the abstract." Irene Zhang — "The abstract is harder to write because you cannot use terms or concepts you introduced in the paper."

S1 Introduction (1.5–2 pages)

Paragraph structure:

  1. Problem statement (~0.5 page) — Establish the domain and why it matters. Use concrete numbers (cluster sizes, workload statistics, latency requirements).
  2. Gap analysis (~0.5 page) — Enumerate specific gaps G1–Gn in existing systems. Each gap is one sentence with evidence.
  3. Key insight (1 paragraph) — The thesis statement: "X is better for applications Y running in environment Z." (Irene Zhang formula)
  4. Contributions (~0.5 page) — Numbered list of 3–5 concrete contributions. Each contribution is testable and maps to a section.

Writing pattern: hzwer Move 1 (Establish territory) → Move 2 (Find niche) → Move 3 (Occupy niche).

Source: Irene Zhang — "clearly state your target environment (Z) and application (Y)" + "clearly state why previous systems do not meet the needs"; Levin & Redell — "What exactly is the problem being solved?"

S2 Background & Motivation (1–1.5 pages)

Paragraph structure:

  1. Technical background (~0.5 page) — Define terms and systems the reader needs. Follow Gernot Heiser's "define-before-use" principle.
  2. Production observations (~0.5–1 page) — Present Observation 1, 2, 3 from real data or measurements. Each observation leads to a design insight.

Source: Irene Zhang — "clearly motivate Y and Z. Why is application Y important?"; Gernot Heiser — "define-before-use."

S3 Design (3–4 pages)

Paragraph structure:

  1. System architecture overview (~0.5 page) — Architecture diagram first (Yi Ding: "draw a picture first"). One-paragraph walkthrough of major components and data flow.
  2. Module-by-module design (~2–2.5 pages) — Each subsection: what the module does, the design choice made, alternatives considered, and why this choice wins.
  3. Design alternatives and trade-offs (~0.5–1 page) — For each major decision, explicitly discuss what was not chosen and why.

Source: Irene Zhang — "Every design choice made in X should be discussed with alternatives and the reasons for the choice"; Levin & Redell — "What were the alternatives considered at various points, and why were the choices made?"

S4 Implementation (0.5–1 page)

  1. Prototype description — Language, framework, LOC, integration with existing systems.
  2. Key engineering decisions — Non-obvious implementation choices worth documenting.

Source: Levin & Redell — "Does the paper describe something that has actually been implemented?"; Irene Zhang — "explain how you constructed a prototype to test your hypothesis."

S5 Evaluation (3–4 pages)

Paragraph structure:

  1. Experimental setup (~0.5 page) — Hardware, baselines, workloads, metrics. Enough detail to reproduce.
  2. End-to-end comparison (~1–1.5 pages) — X vs baselines for application Y on environment Z. Main performance results.
  3. Microbenchmarks / Ablation (~1–1.5 pages) — Isolate each design decision's contribution. Ablation experiments decompose the gains.
  4. Scalability (~0.5 page) — Show behavior as problem size, cluster size, or load increases.

Critical rule (Irene Zhang): State every experimental conclusion three times:

  • Section opening: hypothesis ("We expect X to outperform Y because...")
  • Section closing: conclusion ("Results show X outperforms Y by Z%")
  • Figure caption: evidence ("Figure N shows X achieves Z% better throughput than Y")

Two experiment types:

  • Type 1: X vs baselines for Y on Z (end-to-end comparison)
  • Type 2: Ablation — remove each design component to measure its individual impact

S6 Related Work (1 page)

  • Group by methodology or approach, not by individual papers.
  • For each group: what they do, what limitation remains, how your work differs.
  • Use a comparison table when comparing 4+ systems on specific dimensions.

Source: Levin & Redell — "Are comparisons with previous work clear and explicit?"; Irene Zhang — use comparison tables.

S7 Conclusion (0.5 page)

Three sentences (Irene Zhang formula):

  1. The hypothesis / problem addressed
  2. The solution approach
  3. The key result

Writing Patterns

Four reusable patterns for structuring systems papers. See references/writing-patterns.md for detailed examples.

Pattern 1: Gap Analysis (Lucid, ASPLOS'23)

Enumerate gaps G1–Gn in Introduction → map to answers A1–An in Design. Creates a clear contract with the reader.

Pattern 2: Observation-Driven (GFS, arXiv 2025)

Present production observations (O1–O3) in Motivation → derive design insights → build system around insights. Effective when you have real workload data.

Pattern 3: Contribution List (Blox, EuroSys'24; Sia, SOSP'23)

Numbered contributions in Introduction, each mapping to a section. Readers (and reviewers) can track claims through the paper.

Pattern 4: Thesis Formula (Irene Zhang)

Structure the entire paper around: "X is better for applications Y running in environment Z." Introduction states it, Design explains how, Evaluation proves it.


Conference Differences

Warning: Venue rules change yearly. Always verify against the current year's CFP before submission.

VenueFormatSubmission LimitCamera-ReadyReferences
OSDIUSENIX12 pages14 pagesUnlimited
NSDIUSENIX12 pages14 pagesUnlimited
SOSPACM SIGOPS12 pages (tech content)—Unlimited
ASPLOSACM SIGPLAN11 pages13 pagesUnlimited
EuroSysACM12 pages—Unlimited

Based on 2025/2026 CFPs. Verify current limits before submission.


Writing Philosophy

Manage Reader State (Gernot Heiser)

Treat the reader's cognitive load like an OS managing process state. Never introduce a concept without context. Never reference something defined later without a forward pointer.

Six-Dimensional Quality (Levin & Redell)

Self-check against: Original Ideas, Reality (is it built?), Lessons (what did you learn?), Choices (alternatives discussed?), Context (related work fair?), Presentation (clear writing?).

Page-One Figure (hzwer)

Include a figure on the first page that captures the core idea. Reviewers form first impressions from the title, abstract, and page-one figure.


Academic Integrity Requirements

Citation Discipline

  • Never generate citations from memory. Use ml-paper-writing's citation verification workflow (Semantic Scholar / DBLP / CrossRef APIs).
  • Mark unverified references as [CITATION NEEDED].

Prohibition of Fabrication

  • Do NOT fabricate production observations, traces, deployment experiences, or experimental results.
  • Do NOT generate fake venue rules, paper metadata, or best-paper claims.
  • Do NOT copy paragraph-level text from reference papers. This blueprint provides structural guidance, not copy-paste templates.

LLM Disclosure

  • Some venues require disclosure of substantial LLM use in writing or ideation. Check each venue's AI policy in the current CFP.

Attribution

  • When structures are inspired by specific papers (e.g., Lucid's gap-analysis pattern), cite the inspiration.
  • Cross-repository references (e.g., ARIS paper-slides structure) are attributed, not copied.

Temporal Validity

  • Venue rules (page limits, format, AI policies) change annually. All venue information in this skill is based on 2025/2026 CFPs. Always verify against the current year's CFP.

Workflow: Structuring a New Systems Paper

text
Step 1: Read this SKILL.md for page allocation overview
Step 2: Read references/section-blueprints.md for per-section paragraph templates
Step 3: Choose a writing pattern from references/writing-patterns.md
Step 4: Draft section by section following the blueprint
Step 5: Run the checklist from references/checklist.md before submission
Step 6: Use ml-paper-writing for citation verification and LaTeX formatting

Quick Checklist

  • Thesis statement follows "X is better for Y in Z" formula
  • Introduction has numbered contributions (3–5)
  • Each contribution maps to a paper section
  • Design discusses alternatives for every major choice
  • Every eval conclusion stated 3 times (hypothesis, result, caption)
  • Related work grouped by methodology, not individual papers
  • Page budget within venue limits
  • All citations verified programmatically (no hallucinated references)

Common Issues and Solutions

IssueSolution
Paper feels like a "feature list"Restructure around thesis formula: X better for Y in Z
Evaluation lacks depthAdd ablation experiments isolating each design decision
Reviewers say "incremental"Strengthen gap analysis: make G1–Gn crisper with evidence
Design section too longMove implementation details to S4, keep S3 at design level
Motivation feels weakAdd production observations with concrete numbers
Related work reads like a bibliographyGroup by approach, add explicit differentiation

References

Writing Guidance

Venue-Specific

  • references/checklist.md — 7-stage pre-submission checklist covering structure, writing quality, evaluation rigor, design quality, academic integrity, venue-specific requirements (OSDI/NSDI/ASPLOS/SOSP/EuroSys), and final pass
  • references/systems-conferences.md — Conference overview, deadlines, track descriptions, formatting requirements, submission rules, and format conversion guides
  • references/reviewer-guidelines.md — How systems conference reviewers evaluate papers, with venue-specific criteria and common concerns

LaTeX Templates

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Systems Paper Writing AI skill do?

Comprehensive guide for writing systems papers targeting OSDI, SOSP, ASPLOS, NSDI, and EuroSys. Provides paragraph-level structural blueprints, writing patterns, venue-specific checklists, reviewer guidelines, LaTeX templates, and conference deadlines. Use this skill for all systems conference paper writing.

Why use Systems Paper Writing on TypingMind?

Because you install it once and use it with any model. Systems Paper Writing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Systems Paper Writing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/20-ml-paper-writing/systems-paper-writing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Systems Paper Writing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Systems Paper Writing?

As many as you like. As long as a model supports skills, you can use Systems Paper Writing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Systems Paper Writing AI skill free?

Yes. It is published on GitHub by Orchestra-Research under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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