A skill your agent uses when targeting SIAM Review (SIAM Rev.) or deciding whether an applied- or computational-mathematics manuscript fits this expository, broad-readership SIAM venue.

MITAuto-check passed

Install Siam Review

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills siam-review --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/English-NaturalScience-Journal-Skills/skills/siam-review .claude/skills/siam-review && 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
siam-review
GitHub stars
1.2k
Token cost
~2.1k tokens
SKILL.md length
950 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when targeting SIAM Review (SIAM Rev.) or deciding whether an applied- or computational-mathematics manuscript fits this expository, broad-readership SIAM venue.

  • Targeting SIAM Review (SIAM Rev.)
  • SKILL.md covers Journal positioning, When to trigger, Scope & topic fit and Method & evidence bar, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Deciding whether an applied-

What it does

Siam Review is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting SIAM Review (SIAM Rev.) or deciding whether an applied- or computational-mathematics manuscript fits this expository, broad-readership SIAM venue. Encodes the journal's fit, framing, expository-and-rigor bar, house style, official-submission re-check, and desk-reject heuristics.

Its SKILL.md is about 2.1k 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

  • Targeting SIAM Review (SIAM Rev.)
  • Deciding whether an applied-
  • Computational-mathematics manuscript fits this expository
  • Broad-readership SIAM venue

Example prompts

  • “/siam-review”

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

Siam Review loads about 2.1k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 950 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

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). 950 words, ~2,075 tokens.

Download SKILL.mdSave it as .claude/skills/siam-review/SKILL.md (or your agent's skills folder).
name
siam-review
description
Use when targeting SIAM Review (SIAM Rev.) or deciding whether an applied- or computational-mathematics manuscript fits this expository, broad-readership SIAM venue. Encodes the journal's fit, framing, expository-and-rigor bar, house style, official-submission re-check, and desk-reject heuristics.

SIAM Review (siam-review)

Journal positioning

SIAM Review, published by the Society for Industrial and Applied Mathematics, is the flagship general-readership journal of the applied- and computational-mathematics community. Its defining character is expository excellence for a broad audience: it does not exist primarily to publish narrow primary results, but to survey, contextualize, and illuminate. The journal is organized into distinct sections — Survey and Review (authoritative surveys of active areas), Research Spotlights (accessible accounts of a focused new result), SIGEST (revised reprints of outstanding papers from specialized SIAM journals, made accessible to the wider community), and Education (material of pedagogical value). The common thread is that articles must be readable, significant, and valuable to applied mathematicians, scientists, and engineers well beyond the immediate specialty.

This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current official submission guidelines. Before submitting, re-check the live author instructions on the SIAM Review site and confirm the requirements for the specific section you are targeting.

When to trigger

  • The author wants to write an authoritative survey or an accessible account of applied/computational mathematics for a broad readership.
  • A focused new result has wide appeal and could be presented as a Research Spotlight rather than a specialized primary paper.
  • The author has a topic of strong pedagogical value suited to the Education section, or is considering nominating/preparing a SIGEST reprint.
  • The author needs to understand which SIAM Review section fits, the expository bar, and common rejection reasons before submission.

Scope & topic fit

  • Survey and Review: authoritative, balanced surveys of an active applied- or computational-mathematics area, accessible to non-specialists and useful as an entry point.
  • Research Spotlights: a single significant new result of broad interest, presented clearly and accessibly with the technical core intact but the exposition foregrounded.
  • SIGEST: revised, accessible versions of outstanding papers selected from specialized SIAM journals (by invitation/selection).
  • Education: expository material, novel pedagogical treatments, or case studies valuable for teaching applied and computational mathematics.
  • Topics span numerical analysis, optimization, dynamical systems, scientific computing, mathematical modeling, applied probability, and the mathematics of data and applications.
  • Narrow primary research without broad expository value belongs in a specialized SIAM journal, not SIAM Review.

Method & evidence bar

  • Exposition is the primary evaluation axis: clarity, balance, accessibility, and the ability to orient a broad reader are weighted as heavily as technical content.
  • Surveys must be authoritative and even-handed: comprehensive coverage of the area, fair treatment of competing approaches, and an accurate, current bibliography.
  • Mathematical content must still be correct and rigorous; results stated must be precise and either proved or correctly attributed, even when full proofs are deferred to references.
  • Research Spotlights must convey genuine significance and broad interest, not merely a competent specialized result.
  • MSC (Mathematics Subject Classification) codes should be assigned to signal scope; for applied work, note relevant computational or application domains.
  • Reproducibility is valued where computational results are presented: code and data supporting figures should be available, consistent with current SIAM reproducibility expectations; arXiv posting is common and generally compatible.

Structure & house style

  • Structure follows the chosen section: surveys are organized for navigability (clear sectioning, summary tables, well-chosen figures); Research Spotlights are short and tightly focused; Education pieces foreground motivation and pedagogy.
  • Writing must be accessible: define specialized terms, motivate before formalizing, and keep a broad applied-mathematics reader oriented throughout.
  • Figures, schematics, and worked examples are encouraged and expected to carry expository weight.
  • LaTeX with the current SIAM style/macros is standard — re-check the section-specific length and formatting requirements on the submission site.
  • References must be complete, current, and balanced across the relevant literature; an out-of-date or one-sided bibliography is a serious weakness for a survey.
Show full SKILL.md (346 more words)Show less

Official-submission checklist

  • Before giving submission-ready advice, read ../../resources/source-basis.md and ../../resources/official-source-map.md; start from the official source anchors for this journal family, then cite the current journal-specific page you checked.
  • Check the current SIAM Review submission instructions and confirm the requirements and length expectations for your target section (Survey and Review, Research Spotlights, SIGEST, Education).
  • Assign MSC codes and note relevant application/computational domains.
  • If computational results are presented, prepare supporting code/data per current SIAM reproducibility expectations; post to arXiv if appropriate with the identifier ready.
  • Prepare a cover letter identifying the section, the intended broad audience, and why the article is significant and accessible to them.
  • Confirm all co-authors have approved the submission and re-check current open-access/APC options under SIAM.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • One sentence naming the target section and why the article is significant and accessible to a broad applied-mathematics readership.
  • The exposition orients a non-specialist: terms defined, motivation given, structure navigable.
  • For a survey: coverage is authoritative and balanced, and the bibliography is current and even-handed.
  • Mathematical statements are correct and precise; results are proved or correctly attributed.
  • Figures, tables, and examples carry real expository weight; computational results have supporting code/data where applicable.
  • An honest assessment: is this an expository contribution for a broad audience, or a narrow primary result better suited to a specialized SIAM journal?

Common desk-reject triggers

  • A narrow primary research paper submitted as if it were a survey or spotlight, without broad expository value.
  • A survey that is unbalanced, out of date, or merely a reference list without synthesis and perspective.
  • An article written for specialists that does not orient a broad applied-mathematics reader.
  • A Research Spotlight whose result lacks genuine breadth of interest.
  • A submission that ignores the section structure or grossly exceeds the section's expected length.

Re-routing decision

Primary machine-learning research → journal-of-machine-learning-research. Narrow primary applied/computational results → the appropriate specialized SIAM journal (SIAM Journal on Numerical Analysis, Optimization, Scientific Computing, Applied Mathematics, etc.). Deep applied-analysis or PDE theory with substantial theorem content → communications-on-pure-and-applied-mathematics. Broad pure-mathematics results → advances-in-mathematics.

Output format

text
[Fit] High / Medium / Low (one-line reason)
[Target] SIAM Review
[Section] Survey and Review / Research Spotlights / SIGEST / Education
[Topic tags] <2–3 areas/domains>
[Method/evidence] <is the exposition broad and authoritative, and is the content correct, significant, and accessible?>
[Top risk] <the single most likely reason for rejection — usually breadth/exposition fit>
[Official items to re-check] <section requirements / length / MSC / reproducibility / open-access>
[Re-route suggestion] <if not a fit, a better-matched venue>

© 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 English-NaturalScience-Journal-Skills/skills/siam-review of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Workflow Score To TargetMengTo/Skills6.7k—~1.3kAutomated safety check: PassMIT

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Questions about Siam Review

What does Siam Review do?

A skill your agent uses when targeting SIAM Review (SIAM Rev.) or deciding whether an applied- or computational-mathematics manuscript fits this expository, broad-readership SIAM venue. Siam Review is an agent skill from brycewang-stanford/Awesome-Journal-Skills.) or deciding whether an applied- or computational-mathematics manuscript fits this expository, broad-readership SIAM venue.

When should I use Siam Review?

Siam Review fits situations like: targeting SIAM Review (SIAM Rev.); deciding whether an applied-; computational-mathematics manuscript fits this expository; broad-readership SIAM venue.

How do I install Siam Review in Claude Code?

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

How do I install Siam Review in Codex?

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

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

What does Siam Review need to run?

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

Does Siam Review 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 Siam Review 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 Siam Review use?

Siam Review 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 Siam Review use?

About 2.1k tokens (SKILL.md is roughly 8.3k 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 Siam Review?

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Who maintains Siam Review?

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.