Agent Skills
› brycewang-stanford/Awesome-Journal-Skills
› smr-workflow
smr-workflow
GitHubSMR期刊投稿路由助手，根据稿件阶段（选题、推导、模拟、实证等）分发至对应技能。确保方法贡献明确、属性可证、含对比模拟与真实数据演示，并引导软件发布及提交流程。
Trigger Scenarios
SMR论文方法贡献不明确
需要安排蒙特卡洛模拟设计
准备ScholarOne提交或回复审稿意见
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smr-workflow -g -y
SKILL.md
Frontmatter
{
"name": "smr-workflow",
"description": "Use when sequencing a Sociological Methods & Research (SMR) manuscript from method-contribution fit through derivation and properties, Monte Carlo simulation, real-data empirical illustration, released software, ScholarOne submission, double-anonymized review, and rebuttal. Routes to the right SMR skill; does not itself draft sections."
}
SMR Workflow
Use this as the router for Sociological Methods & Research (SMR), the SAGE quantitative- and statistical-methodology flagship. SMR publishes papers that develop, evaluate, or critically assess methods; a pure application with no methodological contribution is out of scope. Reopen the live SAGE author instructions before any deadline-ready advice — review model, fees, and policy wording can change.
Route map
- Fit unclear, or the "method" is really just an application: use
smr-topic-selection. - The new estimator/design/diagnostic and what it fixes are fuzzy: use
smr-method-contribution. - Methods-literature placement weak or sibling-journal confusion: use
smr-literature-positioning. - Assumptions, identification, bias/consistency/efficiency not pinned down: use
smr-derivation-and-properties. - Monte Carlo design thin or competitors missing: use
smr-simulation-studies. - No real-data demonstration that the method matters substantively: use
smr-empirical-illustration. - Exhibits crowded, not self-contained, or hiding the simulation grid: use
smr-tables-figures. - Prose buries the contribution or violates ASA/abstract rules: use
smr-writing-style. - Code/package not released or not reproducible: use
smr-software-and-reproducibility. - Ready for ScholarOne: use
smr-submission. - Decision letter arrived: use
smr-rebuttal.
Resource loading rule
Use the resource layer when routing:
resources/worked-examples/01-introduction.mdfor the methods-paper opening arc (problem → why existing methods fail → the contribution → properties → simulation + illustration → software).resources/exemplars/library.mdfor benchmark style and web-verified SMR papers by method family.resources/official-source-map.mdbefore any review-model, abstract-limit, citation-style, data-policy, or fee claim.
Never answer a volatile submission question from memory. If the source map marks a fact 待核实, say so and recheck the official SAGE page before advising a final submission.
Stop conditions
Pause the route and repair before moving forward if:
- the paper has no methodological contribution — it applies an existing method to a new dataset;
- the analytical properties (bias, consistency, efficiency, or the conditions for validity) are asserted but not derived or argued;
- the simulation does not include the competing methods an SMR reviewer would expect, or never shows where the new method breaks;
- there is no real-data empirical illustration showing the method changes a substantive conclusion;
- no usable software/code is released — SMR readers expect to run the method.
Stage gates keyed to the SMR pipeline
| Gate | Pass condition | Skill that repairs failure |
|---|---|---|
| Fit gate | Method contribution and the problem it solves vs. existing methods stated in one sentence each | smr-topic-selection, smr-method-contribution |
| Theory gate | Assumptions, identification, and analytical properties traceable and derived | smr-derivation-and-properties |
| Evidence gate | Monte Carlo with named competitors and a real-data illustration; each property has a finite-sample check | smr-simulation-studies, smr-empirical-illustration |
| Exhibit/prose gate | Exhibits self-contained; abstract ≤150 words, no parenthetical citations; ASA style | smr-tables-figures, smr-writing-style |
| Software gate | Released package/scripts reproduce the main tables, figures, and simulation | smr-software-and-reproducibility |
| Conformance gate | ScholarOne fields, double-anonymization, availability statement, AI disclosure verified live | smr-submission |
| Post-decision gate | Point-by-point response assembled; revision clock tracked | smr-rebuttal |
A later gate never compensates for an earlier one: polished exhibits cannot rescue a paper whose "method" is an application, and released code cannot rescue an underived property.
Worked routing pass
Illustrative vignette: an author arrives with a new estimator for peer effects in network panels, strong intuition, one simulation against OLS only, no real data, and code in a private folder.
- The fit gate passes (genuine estimator), but the theory gate fails first: the consistency claim
rests on an unstated network-sparsity condition. Route to
smr-derivation-and-properties. - The evidence gate fails next: the Monte Carlo compares only to naive OLS, not to the standard
network-autocorrelation and instrumental approaches a reviewer expects, and there is no real-data
illustration. Route to
smr-simulation-studies, thensmr-empirical-illustration. - The software gate is deferred but flagged: the package must be public and reproduce the grid
before submission. Route to
smr-software-and-reproducibilityonce results stabilize. - Conformance items (ScholarOne, anonymization, availability statement) wait until the science gates close.
Ordering principle: secure properties before evidence, evidence before exhibits, and software before portal mechanics.
Venue facts that gate every route
Keep these SMR constants loaded while routing, reverifying volatile ones on live pages:
- A SAGE journal; the quantitative/statistical-methodology flagship in sociology — distinct from Sociological Methodology (ASA annual), Psychological Methods (APA), and Political Analysis.
- Submission via ScholarOne Manuscripts; double-anonymized review (separate title page).
- ASA in-text and reference style; DataCite for dataset references; abstract ≤150 words with no parenthetical citations (检索于 2026-06；以官网为准).
- A data-and-code availability statement is required, with code/materials in a trusted repository; a generative-AI disclosure in the back matter when AI tools were used.
- No submission fee; Sage Choice open access is a paid option (检索于 2026-06；以官网为准).
Output format
[Current stage] idea / theory / simulation / illustration / drafting / software / submission / review / R&R / accepted
[Next SMR skill] <skill name>
[Main bottleneck] <fit, properties, simulation, illustration, exhibits, software, conformance, or response>
[Anonymization risk] <any text that would deanonymize under double-anonymized review>
[Next action] <single concrete task>
Version History
- 1839142 Current 2026-07-05 14:27
