Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
A skill your agent uses when sequencing a Sociological Methods & Research (SMR) manuscript from method-contribution fit through derivation and properties, Monte Carlo simulation, real-data empirical…
Install Smr Workflow
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smr-workflow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills smr-workflow --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Sociological-Methods-and-Research-Skills/skills/smr-workflow .claude/skills/smr-workflow && rm -rf skills-srcUse ~/.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/
Install the "smr-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Sociological-Methods-and-Research-Skills/skills/smr-workflow into .claude/skills/smr-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "smr-workflow", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Sociological-Methods-and-Research-Skills/skills/smr-workflowType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smr-workflow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills smr-workflow --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Sociological-Methods-and-Research-Skills/skills/smr-workflow .agents/skills/smr-workflow && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "smr-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Sociological-Methods-and-Research-Skills/skills/smr-workflow into .agents/skills/smr-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "smr-workflow", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smr-workflow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills smr-workflow --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Sociological-Methods-and-Research-Skills/skills/smr-workflow .cursor/skills/smr-workflow && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "smr-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Sociological-Methods-and-Research-Skills/skills/smr-workflow into .cursor/skills/smr-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "smr-workflow", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path Sociological-Methods-and-Research-Skills/skills/smr-workflow--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smr-workflow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills smr-workflow --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Sociological-Methods-and-Research-Skills/skills/smr-workflow .gemini/skills/smr-workflow && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "smr-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Sociological-Methods-and-Research-Skills/skills/smr-workflow into .gemini/skills/smr-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "smr-workflow", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills smr-workflowInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smr-workflow -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Sociological-Methods-and-Research-Skills/skills/smr-workflow .github/skills/smr-workflow && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "smr-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Sociological-Methods-and-Research-Skills/skills/smr-workflow into .github/skills/smr-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "smr-workflow", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smr-workflow -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills smr-workflow --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Sociological-Methods-and-Research-Skills/skills/smr-workflow .opencode/skills/smr-workflow && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "smr-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Sociological-Methods-and-Research-Skills/skills/smr-workflow into .opencode/skills/smr-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "smr-workflow", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
smr-workflow- GitHub stars
- 1.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 708 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when sequencing a Sociological Methods & Research (SMR) manuscript from method-contribution fit through derivation and properties, Monte Carlo simulation, real-data empirical…
- Sequencing a Sociological Methods & Research (SMR) manuscript from method-contribution fit through derivation and properties
- SKILL.md covers Route map, Resource loading rule, Stop conditions and Stage gates keyed to the SMR…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Monte Carlo simulation
What it does
Smr Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.
Its SKILL.md is about 1.7k 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. 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
- Sequencing a Sociological Methods & Research (SMR) manuscript from method-contribution fit through derivation and properties
- Monte Carlo simulation
- Real-data empirical illustration
- Released software
Example prompts
- “/smr-workflow”
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
Smr Workflow loads about 1.7k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 708 words of instructions outside code blocks.
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). 708 words, ~1,677 tokens.
Download SKILL.mdSave it as
.claude/skills/smr-workflow/SKILL.md (or your agent's skills folder).- 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.
Show full SKILL.md (248 more words)Show less
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>© 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 Sociological-Methods-and-Research-Skills/skills/smr-workflow of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Smr Workflow 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Smr Workflow this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Peer Reviewspacering-net/codeg | 3.9k | 17 repos | ~5.9k | Automated safety check: Notes | MIT |
Similar skills
GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Nature Paper Card
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Peer Review
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
Last30days
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
More from brycewang-stanford/Awesome-Journal-Skills
All 2,387 skills in this repoAaag Data Analysis
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
Aaag Literature Positioning
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
Aaag Rebuttal
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
Aaag Research Design
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
Aaag Review Process
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
Aaag Submission
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
Related
Categories
Questions about Smr Workflow
What does Smr Workflow do?
A skill your agent uses when sequencing a Sociological Methods & Research (SMR) manuscript from method-contribution fit through derivation and properties, Monte Carlo simulation, real-data empirical…. Smr Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.
When should I use Smr Workflow?
Smr Workflow fits situations like: sequencing a Sociological Methods & Research (SMR) manuscript from method-contribution fit through derivation and properties; monte Carlo simulation; real-data empirical illustration; released software.
How do I install Smr Workflow in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smr-workflow -a claude-code`. Or copy the skill folder (Sociological-Methods-and-Research-Skills/skills/smr-workflow in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/smr-workflow in your project. Claude Code loads it when a task matches its description.
How do I install Smr Workflow in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smr-workflow -a codex`. Or copy the skill folder (Sociological-Methods-and-Research-Skills/skills/smr-workflow in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/smr-workflow in your project. Codex loads it when a task matches its description.
Can I use Smr Workflow 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 smr-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/smr-workflow, .gemini/skills/smr-workflow, .github/skills/smr-workflow and .opencode/skills/smr-workflow in your project.
What does Smr Workflow need to run?
SKILL.md names no scripts, command-line tools or credentials: Smr Workflow is instructions for the agent only.
Does Smr Workflow 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 Smr Workflow 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 Smr Workflow use?
Smr Workflow 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 Smr Workflow use?
About 1.7k tokens (SKILL.md is roughly 6.7k 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 Smr Workflow?
Skills that share tags, products or a category with Smr Workflow: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Smr Workflow?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.