Agent skill · Testing & QA

arsoc-literature-synthesis

Use when systematically gathering, reading, and synthesizing a large body of sociological research for an Annual Review of Sociology (ARSoc) review — coverage discipline and avoiding citation gaps across theoretical traditions. Builds the evidence corpus and synthesis notes; it does not impose the analytical spine (arsoc-organizing-framework) or write prose (arsoc-writing-style).

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill arsoc-literature-synthesis --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: Annual-Review-of-Sociology-Skills/skills/arsoc-literature-synthesis/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Literature Synthesis (arsoc-literature-synthesis) ## When to trigger - The topic was commissioned and it is time to read the subfield thoroughly - Reading feels unsystematic; you fear missing important contributions or a whole tradition - You have many studies but no way to weigh, compare, or reconcile their findings - A Committee/referee at ARSoc is likely to ask "why did you omit X / the Y literature / the qualitative work?" ## Coverage discipline: read the subfield, not a convenience sample An ARSoc review's credibility rests on the reader's belief that you read **everything that matters** across methods and schools. Sociology spans quantitative, qualitative, computational, and theoretical work, and reviewers notice when one mode is slighted. Build coverage systematically rather than from memory: 1. **Seed set.** Start from the field's canonical pieces and the references behind the commissioned topic. 2. **Forward + backward snowball.** Backward: every study's reference list. Forward: who cites the seeds (Google Scholar / Web of Science / Scopus). Iterate until new searches stop turning up unseen important work (*saturation*). 3. **Database + keyword sweep.** Search **Sociolog

What's inside
Steps it walks through
  1. When to trigger
  2. Coverage discipline: read the subfield, not a convenience sample
  3. From reading to synthesis (not summary)
  4. Checklist
  5. Anti-patterns
  6. Output format
More from Awesome-Journal-Skills
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About this skill
What does the arsoc-literature-synthesis skill do?

Use when systematically gathering, reading, and synthesizing a large body of sociological research for an Annual Review of Sociology (ARSoc) review — coverage discipline and avoiding citation gaps across theoretical traditions. Builds the evidence corpus and synthesis notes; it does not impose the analytical spine (arsoc-organizing-framework) or write prose (arsoc-writing-style).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill arsoc-literature-synthesis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going