A skill your agent uses when reasoning about how a SODA (ACM-SIAM Symposium on Discrete Algorithms) submission is evaluated — the per-edition program committee under joint ACM-SIAM sponsorship…

MITAuto-check passed

Install Soda Review Process

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-review-process -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills soda-review-process --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/SODA-Skills/skills/soda-review-process .claude/skills/soda-review-process && 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
soda-review-process
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
747 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when reasoning about how a SODA (ACM-SIAM Symposium on Discrete Algorithms) submission is evaluated — the per-edition program committee under joint ACM-SIAM sponsorship…

  • HotCRP triage of a record-size submission pool
  • SKILL.md covers Pipeline anatomy, Who reads you: the subreviewer…, Lightweight double-blind,… and What moves a borderline paper, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Lightweight double-blind refereeing of full versions

What it does

Soda Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about how a SODA (ACM-SIAM Symposium on Discrete Algorithms) submission is evaluated — the per-edition program committee under joint ACM-SIAM sponsorship, HotCRP triage of a record-size submission pool, lightweight double-blind refereeing of full versions, the September rebuttal, and October decisions.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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

  • HotCRP triage of a record-size submission pool
  • Lightweight double-blind refereeing of full versions
  • The September rebuttal
  • October decisions

Example prompts

  • “/soda-review-process”

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

Soda Review Process loads about 1.6k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 747 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 747 words, ~1,614 tokens.

Download SKILL.mdSave it as .claude/skills/soda-review-process/SKILL.md (or your agent's skills folder).
name
soda-review-process
description
Use when reasoning about how a SODA (ACM-SIAM Symposium on Discrete Algorithms) submission is evaluated — the per-edition program committee under joint ACM-SIAM sponsorship, HotCRP triage of a record-size submission pool, lightweight double-blind refereeing of full versions, the September rebuttal, and October decisions.

SODA Review Process

SODA is run jointly by the SIAM Activity Group on Discrete Mathematics and ACM SIGACT, with a fresh program committee appointed for each edition — there is no standing editorial board, and every policy below is re-decided annually. Anchor facts for the 2027 cycle (checked 2026-07-08 via SIAM SODA27 pages read through search renderings, plus organizer announcements): submission July 9, 2026 AoE on HotCRP; reviews to authors by September 1; responses due September 4; decisions and instructions in October 2026. The 2027 PC chairs were not yet indexed at check time: 待核实. For scale context, SODA 2026's chair reported the largest submission pool in SODA history, roughly a 25% jump year-over-year (reported via the PC chair's public announcement; treat as reported, not official).

Pipeline anatomy

Phase (2027 anchors)What happensAuthor-side reality
July 9HotCRP closesThe record is frozen; nothing is added later
JulyBidding and assignmentYour title-page abstract and topic tags determine who reads you
July-AugustRefereeing, often with external subreviewersThe full version is the reviewed object; depth checks are real
By September 1Initial reviews releasedRead for factual errors first, opinions second
September 4Responses dueThree days; preparation happened in August (soda-author-response)
September-OctoberPC discussion and rankingReviews are debated; the response is evidence in that debate
OctoberDecisions + final instructionsAccept/reject; no shepherding tier by default (待核实 per cycle)

Who reads you: the subreviewer economy

A large-pool theory conference distributes much of its reading to external subreviewers — domain experts recruited per paper by PC members. Consequences:

  • Expect one deep technical review (the subreviewer who works in your niche) and broader reviews weighing significance. Write for both: airtight proofs and a first-ten-pages case for why the bound matters (soda-writing-style).
  • Subreviewers check lineage. A comparison table that omits the actual state-of-the-art bound will be caught by the one person who proved it.
  • Expertise variance is the norm, not a scandal. The rebuttal exists partly to arbitrate when the deep review and a skim review disagree.

Lightweight double-blind, referee's view

Referees see no author names, but SODA's rules keep the literature intact: authors post to arXiv freely and cite themselves in third person. In practice many referees can guess authorship; the process is designed to remove the default weight of names from triage, not to guarantee ignorance. Author-side consequences: never rely on reputation carrying a thin section, and never burn words hiding a self-citation the rules told you to keep visible.

Show full SKILL.md (339 more words)Show less

What moves a borderline paper

PC discussions compress each paper into a few sentences. The compressible virtues:

  • A named open problem or barrier the result resolves or bypasses — with the citation where it was posed.
  • A clean headline bound: "first deterministic near-linear time" survives compression; "improves several parameters in some regimes" does not.
  • A transferable technique a PC member can imagine using elsewhere.
  • A decisive rebuttal correction of the most negative review's factual core.

And the compressible sins: a bound worse than known work (fatal), a proof the deep review could not verify (near-fatal), scope mismatch better served by a satellite or sibling venue (soda-topic-selection).

Interpreting the calendar's silences

Author anxiety maps poorly onto PC reality; this table converts one to the other for the 2027 anchors:

What you observeWhat it usually meansWhat it does not mean
No confirmation beyond HotCRP receipt in JulyNormal; assignment is in progressNothing about your paper's fate
Reviews arrive well before September 1A punctual referee poolNeither enthusiasm nor doom
One review far shorter than the othersA triage-level read alongside deep onesNot automatically negative — check its F/L content
A referee question phrased as a request for computationYour rebuttal's highest-value targetNot an acceptance signal
Silence from September 5 to OctoberDeliberation; scores are being arguedNo news is literally no news
Decision earlier or later within OctoberPC logisticsNothing paper-specific

The single decision authors control in this period is rebuttal quality; the single mistake available is contacting PC members outside HotCRP, which converts a borderline paper into a conflict-of-interest incident.

Reading a SODA review packet

text
For each review, classify every substantive sentence:
  F  factual claim about your paper      -> verifiable; rebut if wrong
  L  literature claim (prior bound, who did what) -> check the citation yourself
  S  significance judgment               -> rebuttal leverage is low
  C  correctness doubt                   -> highest priority; answer with page numbers
Then decide: does the packet's most negative review rest on F/L errors
(rebuttable) or on S consensus (usually terminal for this cycle)?

After the decision

  • Accept: October instructions start the camera-ready track (soda-camera-ready).
  • Reject with correctness doubts: repair the proof before any resubmission; theory reviewer pools overlap heavily across SODA, STOC, FOCS, ESA, and ICALP, and a resubmitted known bug follows the paper.
  • Reject on significance: re-route rather than re-argue — ITCS for conceptual framing, ESA/ICALP for strong-but-specialized algorithmics, SOSA if the real contribution is a simplification (soda-workflow has the calendar).

Output format

text
[Process stage] <where the paper sits in the 2027 pipeline>
[Review triage] <F/L/S/C classification summary per review>
[Rebuttal leverage] <high/medium/low, with the deciding factor>
[Post-decision route] <camera-ready / repair / re-route target>

© 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 SODA-Skills/skills/soda-review-process of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Acm Symposium On Theory Of Computingfranklee16/academic-research-skills2231 repos~1.9kAutomated safety check: PassNone
Acm Symposium On Operating Systems Principlesfranklee16/academic-research-skills2231 repos~1.9kAutomated safety check: PassNone

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Questions about Soda Review Process

What does Soda Review Process do?

A skill your agent uses when reasoning about how a SODA (ACM-SIAM Symposium on Discrete Algorithms) submission is evaluated — the per-edition program committee under joint ACM-SIAM sponsorship…. Soda Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about how a SODA (ACM-SIAM Symposium on Discrete Algorithms) submission is evaluated — the per-edition program committee under joint ACM-SIAM sponsorship, HotCRP triage of a record-size submission pool, lightweight double-blind refereeing of full versions, the September rebuttal, and October decisions.

When should I use Soda Review Process?

Soda Review Process fits situations like: hotCRP triage of a record-size submission pool; lightweight double-blind refereeing of full versions; the September rebuttal; october decisions.

How do I install Soda Review Process in Claude Code?

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

How do I install Soda Review Process in Codex?

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

Can I use Soda Review Process 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 soda-review-process -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/soda-review-process, .gemini/skills/soda-review-process, .github/skills/soda-review-process and .opencode/skills/soda-review-process in your project.

What does Soda Review Process need to run?

SKILL.md names no scripts, command-line tools or credentials: Soda Review Process is instructions for the agent only.

Does Soda Review Process 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 Soda Review Process 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 Soda Review Process use?

Soda Review Process 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 Soda Review Process use?

About 1.6k tokens (SKILL.md is roughly 6.5k 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 Soda Review Process?

Skills that share tags, products or a category with Soda Review Process: Deepseek Reason (ruvnet/ruflo, 74k stars), Ejentum Reasoning Harness (sickn33/agentic-awesome-skills, 47k stars), Nowait Reasoning Optimizer (davila7/claude-code-templates, 33k stars) and Acm Symposium On Theory Of Computing (franklee16/academic-research-skills, 223 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Soda Review Process?

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.