Agent skill

Smr Method Contribution

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

A skill your agent uses when sharpening the core methodological claim of a Sociological Methods & Research (SMR) paper — the new estimator/design/diagnostic and exactly what it fixes versus existing…

MITAuto-check passed

Install Smr Method Contribution

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smr-method-contribution -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills smr-method-contribution --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/Sociological-Methods-and-Research-Skills/skills/smr-method-contribution .claude/skills/smr-method-contribution && 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
smr-method-contribution
GitHub stars
1.2k
Token cost
~1.1k tokens
SKILL.md length
522 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when sharpening the core methodological claim of a Sociological Methods & Research (SMR) paper — the new estimator/design/diagnostic and exactly what it fixes versus existing…

  • SKILL.md covers The contribution sentence…, Position against the…, Contribution-type templates and Proportionality guardrails, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Smr Method Contribution is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when sharpening the core methodological claim of a Sociological Methods & Research (SMR) paper — the new estimator/design/diagnostic and exactly what it fixes versus existing methods. Frames and bounds the contribution; does not derive its properties or run simulations.

Its SKILL.md is about 1.1k 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.

Example prompts

  • “/smr-method-contribution”

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 Method Contribution loads about 1.1k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 522 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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). 522 words, ~1,117 tokens.

Download SKILL.mdSave it as .claude/skills/smr-method-contribution/SKILL.md (or your agent's skills folder).
name
smr-method-contribution
description
Use when sharpening the core methodological claim of a Sociological Methods & Research (SMR) paper — the new estimator/design/diagnostic and exactly what it fixes versus existing methods. Frames and bounds the contribution; does not derive its properties or run simulations.

SMR Method Contribution

Use this to make the contribution explicit, proportional, and adoptable. SMR reviewers reward a method that a working researcher can pick up and run; they punish vague "we propose a framework" claims and overreaching generality.

The contribution sentence (write this before anything else)

Fill both brackets, no hedging:

Researchers who study [problem/setting] can now [do X they could not do, or stop doing Y that misled them], because we [develop / evaluate / correct] [the method] under [the conditions].

If the second bracket is "get a slightly different number," the contribution is too thin. If it is "do everything," it is overclaimed. The right size is one named problem, one named method, one named condition set.

Position against the incumbent, not the void

Every SMR method displaces or repairs something. State the incumbent and its failure precisely:

  • What practitioners do now (the default method, named).
  • Where it breaks (a concrete regime: few clusters, weak instruments, non-invariance, MAR failure, short panels, sparse networks, small df) — with the symptom a user would observe.
  • Why your method fixes it (the mechanism: orthogonalization, bias correction, a weaker assumption, a better small-sample approximation, a new estimand).
  • What it costs (extra assumptions, computation, data requirements) — honest costs build trust.

A contribution framed only against "the literature" reads as throat-clearing; one framed against a named default that fails in a named regime reads as a methods paper.

Contribution-type templates

TypeThe claim must specifyThe reviewer will check
New estimatorestimand, consistency conditions, efficiency vs. incumbentdoes it beat the incumbent where the incumbent is valid?
New diagnostic/testnull, alternative, size, power regionsize control under the null; power where it matters
Evaluation papermethods compared, DGP space, decision ruleare the realistic regimes covered, not a strawman?
Critique + fixthe hidden assumption, the misuse, the correctionis the corrected procedure actually usable?
Computational toolwhat it makes feasible, accuracy/scalingdoes it match the exact method or approximate it?
Show full SKILL.md (199 more words)Show less

Proportionality guardrails

  • Claim a leading case, then say what does not extend. Reviewers trust authors who bound their own claims.
  • Distinguish "we prove" from "we show by simulation" from "we conjecture." Never let a simulated result wear the language of a theorem.
  • Resist the "general framework" frame unless you genuinely deliver generality with proofs; a sharp special case beats a vague general one at SMR.

Checklist

  • The contribution sentence is written with both brackets filled and no hedging.
  • The named incumbent method and its concrete failure regime are stated.
  • The fix mechanism is named (not just "performs better").
  • The honest cost of the method (assumptions/computation/data) is stated.
  • Proof-backed claims are separated from simulation-backed and conjectured claims.
  • The claim is bounded: what does not extend is stated.

Anti-patterns

  • Framework inflation: "we develop a general framework" with no estimand, no theorem, no usable procedure.
  • Strawman incumbent: beating a method no one uses, or using it outside its stated domain.
  • Mislabelled evidence: presenting Monte Carlo regularities as proven properties.
  • Cost concealment: hiding the extra assumption or the computational burden the method requires.
  • Undifferentiated novelty: a variant whose advantage over the closest existing method is never pinned to a specific regime.

Output format

text
[Contribution sentence] <filled template>
[Incumbent + failure regime] <named method -> where it breaks>
[Fix mechanism] <orthogonalization / bias correction / weaker assumption / new estimand / ...>
[Honest cost] <assumptions / computation / data>
[Evidence type per claim] proved / simulated / conjectured
[Next SMR skill] smr-literature-positioning

© 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-method-contribution of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Smr Method Contribution 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.

Smr Method Contribution compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Smr Method Contribution this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.1kAutomated safety check: PassMIT
Claimsruvnet/ruflo74k2 repos~1.1kAutomated safety check: PassMIT
Contributemindfold-ai/Trellis15k—~2.7kAutomated safety check: PassAGPL-3.0
Contributesuperset-sh/superset15k—~624Automated safety check: PassCustom licence
Contributingkortix-ai/suna20k1 repos~3kAutomated safety check: WarnCustom licence
Voyager Contributevoyager-crew/voyager20k—~1.2kAutomated safety check: PassGPL-3.0

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Questions about Smr Method Contribution

What does Smr Method Contribution do?

A skill your agent uses when sharpening the core methodological claim of a Sociological Methods & Research (SMR) paper — the new estimator/design/diagnostic and exactly what it fixes versus existing…. Smr Method Contribution is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when sharpening the core methodological claim of a Sociological Methods & Research (SMR) paper — the new estimator/design/diagnostic and exactly what it fixes versus existing methods.

How do I install Smr Method Contribution in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smr-method-contribution -a claude-code`. Or copy the skill folder (Sociological-Methods-and-Research-Skills/skills/smr-method-contribution in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/smr-method-contribution in your project. Claude Code loads it when a task matches its description.

How do I install Smr Method Contribution in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smr-method-contribution -a codex`. Or copy the skill folder (Sociological-Methods-and-Research-Skills/skills/smr-method-contribution in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/smr-method-contribution in your project. Codex loads it when a task matches its description.

Can I use Smr Method Contribution 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-method-contribution -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-method-contribution, .gemini/skills/smr-method-contribution, .github/skills/smr-method-contribution and .opencode/skills/smr-method-contribution in your project.

What does Smr Method Contribution need to run?

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

Does Smr Method Contribution 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 Method Contribution 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 Method Contribution use?

Smr Method Contribution 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 Method Contribution use?

About 1.1k tokens (SKILL.md is roughly 4.5k 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 Smr Method Contribution?

Skills that share tags, products or a category with Smr Method Contribution: Claims (ruvnet/ruflo, 74k stars), Contribute (mindfold-ai/Trellis, 15k stars), Contribute (superset-sh/superset, 15k stars) and Contributing (kortix-ai/suna, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Smr Method Contribution?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.