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Agent skill

Ppopp Related Work

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when writing or auditing a PPoPP paper's related-work and positioning, covering the parallel-programming literature lanes (concurrent data structures, runtimes/schedulers…

MITAuto-check passedResearch & Science

Install Ppopp Related Work

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppopp-related-work -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ppopp-related-work --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/PPoPP-Skills/skills/ppopp-related-work .claude/skills/ppopp-related-work && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ppopp-related-work
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
540 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when writing or auditing a PPoPP paper's related-work and positioning, covering the parallel-programming literature lanes (concurrent data structures, runtimes/schedulers…

  • Auditing a PPoPP papers related-work and positioning
  • SKILL.md covers Cover the right lanes, Delta-first, in measurable terms, The nearest-competitor test and Double-blind self-citation, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Covering the parallel-programming literature lanes (concurrent data structures

What it does

Ppopp Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when writing or auditing a PPoPP paper's related-work and positioning, covering the parallel-programming literature lanes (concurrent data structures, runtimes/schedulers, GPU/accelerators, memory models, parallel algorithms), delta-first comparison against the nearest competitor, double-blind self-citation, and separating PPoPP work from CGO/PLDI/POPL/SC neighbors.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Literature review and Citation management. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Auditing a PPoPP papers related-work and positioning
  • Covering the parallel-programming literature lanes (concurrent data structures
  • Runtimes/schedulers
  • GPU/accelerators

Example prompts

  • “/ppopp-related-work”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ppopp Related Work loads about 1.3k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 540 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 540 words, ~1,302 tokens.

Download SKILL.mdSave it as .claude/skills/ppopp-related-work/SKILL.md (or your agent's skills folder).
name
ppopp-related-work
description
Use when writing or auditing a PPoPP paper's related-work and positioning, covering the parallel-programming literature lanes (concurrent data structures, runtimes/schedulers, GPU/accelerators, memory models, parallel algorithms), delta-first comparison against the nearest competitor, double-blind self-citation, and separating PPoPP work from CGO/PLDI/POPL/SC neighbors.

Position the paper against the parallel-programming literature, not the whole of systems. A PPoPP reviewer is an expert in your subarea and will know the two or three works you must beat. The job is delta-first: state precisely what your structure/runtime/algorithm does that the nearest prior parallel-programming work does not, in measurable terms.

Cover the right lanes

Map your contribution onto the PPoPP literature lanes and cover the ones you touch:

  • Concurrent data structures — lock-free/wait-free lists, maps, queues, skip lists; progress guarantees; memory reclamation (hazard pointers, epoch-based, RCU).
  • Runtimes and schedulers — work-stealing, task graphs, futures, fork/join, load balancing, parallel-loop scheduling.
  • GPU and accelerator programming — kernel design, occupancy/divergence, heterogeneous scheduling, memory movement, warp-level primitives.
  • Memory models and concurrency correctness — weak-memory reasoning, race detection, linearizability checking, verified concurrency.
  • Parallel algorithms in practice — graph, sparse, numerical kernels; locality/NUMA engineering.
  • Parallel languages/compilers-for-parallelism — DSLs, parallel IRs, runtime-coupled compilation (cite, but position against CGO/PLDI so the boundary is clear).

Missing the lane your reviewer works in is the fastest way to look like a visitor.

Delta-first, in measurable terms

  • Lead each comparison with the delta: "Unlike <competitor>, which requires a global lock on resize, our structure resizes lock-free, giving <X>× throughput at 64 threads." Contrast on the axis PPoPP cares about — progress guarantee, contention behavior, scalability, memory overhead.
  • Do not merely list neighbors; say what each one cannot do that you do, and where you inherit from them honestly.
  • If your only delta over the state of the art is a single-machine constant-factor speedup with no qualitative difference, say so plainly — reviewers will find the gap faster than you can hide it.

The nearest-competitor test

For every contribution, name the single closest prior parallel-programming work and answer:

text
[Same problem?]   are they solving the same parallel-programming problem, or an adjacent one?
[Progress/model]  do you offer a stronger guarantee (wait-free vs lock-free, stronger memory model)?
[Scaling]         where does their approach saturate that yours does not, and by how much?
[Cost]            what do you pay (space, single-thread overhead) that they do not — stated honestly?

If you cannot articulate the delta on at least one of these axes, the paper is not yet positioned.

Show full SKILL.md (237 more words)Show less

Double-blind self-citation

PPoPP review is double-blind. Cite your own prior work in the third person ("Prior work [12] introduced...") — never "our earlier system [12]." Watch the parallel-systems-specific leaks:

  • A distinctive system/library/runtime name carried from your prior paper that identifies the group.
  • A results repository or benchmark suite hosted under a personal/lab account, cited in-line.
  • Acknowledgement of a specific named machine or grant that pins the institution.

Anonymize the artifact link and describe carried-over systems neutrally until camera-ready.

Separating PPoPP from its neighbors in the prose

Because PPoPP shares its week with CGO/CC and its subject with PLDI/POPL/SC, reviewers watch for scope drift in the related work:

  • Cite compiler-optimization work but frame your delta as a parallel-execution result, not a pass — otherwise you invite a "this is a CGO paper" comment.
  • Cite concurrency-theory work but anchor your contribution to a measured system — a pure-logic framing reads as POPL.
  • Cite HPC-at-scale work but keep the lesson a general parallel-programming one, not a single-deployment report — otherwise SC is the home.

Common failures

  • A wall of citations with no deltas — reads as a literature dump, not positioning.
  • Missing the reviewer's own lane — the one omission that most reliably angers a PC member.
  • First-person self-citation — a double-blind violation that is easy to miss under deadline.
  • Comparing only to old baselines — the state of the art in concurrent structures and GPU kernels moves fast; a 5-year-old baseline is not the frontier.

Output format

text
[Lanes covered] which parallel-programming lanes your positioning addresses
[Nearest competitor] named, with the delta on progress/model | scaling | cost
[Delta statements] each measurable and axis-specific? yes/no
[Anonymity] self-citations third-person? system name / repo / machine anonymized? yes/no
[Scope guard] framed as parallel-programming (not CGO/POPL/SC)? yes/no

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in PPoPP-Skills/skills/ppopp-related-work of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Ppopp Related Work next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ppopp Related Work compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ppopp Related Work this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT
Systematic Review ScreenerImbad0202/academic-research-skills51k—~8.4kAutomated safety check: PassCustom licence
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Preprint Search on bioRxivLigphiDonk/Oh-my--paper73912 repos~3.7kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Deep Research WorkflowTokenRhythm/opensquilla7.1k—~1.3kAutomated safety check: PassApache-2.0

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Categories

Questions about Ppopp Related Work

What does Ppopp Related Work do?

A skill your agent uses when writing or auditing a PPoPP paper's related-work and positioning, covering the parallel-programming literature lanes (concurrent data structures, runtimes/schedulers…. Ppopp Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when writing or auditing a PPoPP paper's related-work and positioning, covering the parallel-programming literature lanes (concurrent data structures, runtimes/schedulers, GPU/accelerators, memory models, parallel algorithms), delta-first comparison against the nearest competitor, double-blind self-citation, and separating PPoPP work from CGO/PLDI/POPL/SC neighbors.

When should I use Ppopp Related Work?

Ppopp Related Work fits situations like: auditing a PPoPP papers related-work and positioning; covering the parallel-programming literature lanes (concurrent data structures; runtimes/schedulers; GPU/accelerators.

How do I install Ppopp Related Work in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppopp-related-work -a claude-code`. Or copy the skill folder (PPoPP-Skills/skills/ppopp-related-work in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ppopp-related-work in your project. Claude Code loads it when a task matches its description.

How do I install Ppopp Related Work in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppopp-related-work -a codex`. Or copy the skill folder (PPoPP-Skills/skills/ppopp-related-work in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ppopp-related-work in your project. Codex loads it when a task matches its description.

Can I use Ppopp Related Work in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppopp-related-work -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ppopp-related-work, .gemini/skills/ppopp-related-work, .github/skills/ppopp-related-work and .opencode/skills/ppopp-related-work in your project.

What does Ppopp Related Work need to run?

SKILL.md names no scripts, command-line tools or credentials: Ppopp Related Work is instructions for the agent only.

Does Ppopp Related Work access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ppopp Related Work safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ppopp Related Work use?

Ppopp Related Work is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ppopp Related Work use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ppopp Related Work?

Skills that share tags, products or a category with Ppopp Related Work: Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 739 stars) and Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ppopp Related Work?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.