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asplos-writing-style

Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include…

Install / Use

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill asplos-writing-style

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

90/100

Supported Platforms

Universal

Our assessment of asplos-writing-style

asplos-writing-style scores 90/100 on our quality scale, 455th of 1,186 Content & Media skills we index (top 39%).

Its SKILL.md is 6.5 KB long, well organised into 11 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.

With 1,158 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
18/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 21 days ago, so asplos-writing-style is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

asplos-writing-style compared with similar skills

All 4 of these similar skills score higher than asplos-writing-style; compare them before choosing.

SkillScoreStarsUpdatedFormat
asplos-writing-style (this skill)by brycewang-stanford901.2k21d agoSKILL.md
Agent-Reachby Panniantong10092.1k20d agoCLAUDE.md
headroomby headroomlabs-ai10074.5ktodayCLAUDE.md
Scraplingby D4Vinci10085.9ktodayMCP Server
crawl4aiby unclecode10084.8k1d agoMCP Server

Frequently asked questions

How do I install asplos-writing-style?
Run npx skills add brycewang-stanford/Awesome-Journal-Skills --skill asplos-writing-style. The install tabs above show the steps for each supported agent.
Which AI agents does asplos-writing-style work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is asplos-writing-style safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is asplos-writing-style still maintained?
The repository was last updated 21 days ago, so asplos-writing-style is actively maintained.

name: asplos-writing-style description: Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include figures and footnotes.

ASPLOS Writing Style

Two 2027 mechanics dictate ASPLOS prose (CFP, checked 2026-07-08): the rapid review reads only the first two pages, and the 11-page limit counts all text, figures, tables, and footnotes — references excluded. The first makes pages 1-2 a survival organ; the second makes every figure a budget decision. Style here is mostly resource allocation.

Engineering pages 1-2 as a standalone document

By the bottom of page 2, a screener must hold four things. Audit for them mechanically, in order:

| Element | Test | Common failure | |---|---|---| | Cross-layer problem | Can a reader from any of the three communities restate it? | A single-community problem with "co-design" sprinkled on | | One-sentence insight | Is there a sentence a screener could quote in their note? | Insight diffused across three paragraphs, or a category ("we co-design X and Y") instead of an idea | | Mechanism sketch | Does the reader know what each layer does? | Architecture described, software hand-waved (or vice versa) | | Headline evidence | Result + platform class (silicon/FPGA/simulator) + baseline named? | "Significant improvements on a variety of workloads" |

Corollary: background sections, notation, and roadmaps do not belong on pages 1-2. The worked example (../../resources/worked-examples/01-introduction.md) shows a full before → after against exactly this table.

The insight sentence

The load-bearing sentence in an ASPLOS paper names information or capability that crosses a layer boundary: what the hardware knows that the OS needs, what the compiler can prove that the microarchitecture can exploit. Drafting discipline:

Weak:   "We propose a hardware/software co-designed approach to memory tiering."
        (names a category and a topic; contains no idea)
Strong: "The contention data the OS needs already passes through the memory
        controller on every access; the fix is a narrow architectural channel,
        not a smarter kernel heuristic."
        (names the information, its current location, and the boundary moved)

If this sentence cannot be written, the problem is usually fit, not prose — return to asplos-topic-selection.

Structuring the mechanism across layers

Give each layer its own subsection with its own contribution statement, then a section for the interface between them — the interface is the paper's actual thesis and deserves first-class treatment (encoding, semantics, virtualization behavior, failure modes). Reviewers from different communities will each read "their" subsection closely; the interface section is where they meet.

Claim calibration, systems dialect

  • Bound claims by construction: "never regresses more than 2% on our non-tiered suite" is a stronger sentence than "negligible overhead."
  • Attach the instrument to the number in the same sentence: "1.18× gmean on real hardware (14 workloads)" vs "up to 3.4× in simulation" are different epistemic objects and must not blend.
  • Write the losing case in the same register as the winning ones. One honestly analyzed regression buys more reviewer trust than a page of wins.

The 11-page budget with figures inside it

Because figures count against the limit, they compete with prose on equal terms:

  • Every figure must either carry a claim or explain the mechanism; delete gallery plots and merge panels that make one point.
  • Prefer one annotated diagram of the boundary/interface over three block diagrams of components — reviewers cite the diagram that explains the idea.
  • Compression order when over budget: cut duplicate-message plots → collapse per-workload bars into summary + appendix grid → tighten mechanism prose → never touch template geometry (mandatory template; violations risk rejection unread).

House-rule details that mark a native submission

  • References carry every author's full first and last name — no "et al." — with hyperlinked in-text numbers and DOIs per entry; a hygiene-signaling detail reviewers notice early.
  • Third-person self-citation throughout; no "removed for blind review" text.
  • GenAI assistance, if any, disclosed per ACM policy (Acknowledgments, immediately before References).

A load-order for the abstract

Six sentences, in this order, cover what both the rapid screener and the eventual citer need: (1) the friction two layers create today; (2) the insight sentence; (3) the mechanism, one clause per layer; (4) the headline number with instrument and baseline; (5) the bound on the downside; (6) what the interface enables beyond this paper. Most first drafts invert 1 and a background sentence — delete the background sentence; ASPLOS readers do not need to be told memory matters.

Section skeleton that serves three readerships

A cross-layer paper defaults well to: motivation-with-evidence (measured, not asserted — a characterization figure beats three citations); design overview around one boundary diagram; per-layer mechanism sections; the interface section; evaluation ordered by the claim matrix; related work by lanes (asplos-related-work); then discussion of what the boundary change costs. Each community's reviewer should be able to find "their" section from the table of contents alone — a paper organized by implementation chronology instead forces reviewers to reconstruct the design, and annoyed reconstruction reads as "unclear writing" in reviews.

Revision-aware prose

Because Major Revision is a standing outcome, write sentences that can absorb revision without rewiring: quantitative claims phrased with their scope ("across the 14-workload suite") extend gracefully when workloads are added; hard-coded superlatives ("the first", "the fastest") require re-litigation at every resubmission and are the first phrases a shepherd strikes.

Output format

[Two-page audit] problem / insight-sentence / mechanism / evidence — each Y/N + fix
[Insight sentence] <quoted verbatim>
[Layer structure] per-layer subsections + interface section present: Y/N
[Claim calibration] unbounded adjectives found: N · instrument attached per number: Y/N
[Figure budget] figures: N · pages consumed: N · deletions/merges proposed
[House rules] citations format / self-cite person / GenAI disclosure — pass/fail

Related Skills

View on GitHub
GitHub Stars1.2k
CategoryContent
Updated21d ago
Forks153

Languages

Stata

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions