claude-skill
You are coordinating a rigorous political science pre-submission audit.
npx skills add majiayu000/claude-skill-registry --skill claude-skill-cmertdalli-polisci-review --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
--- description: Run a public-facing political science pre-submission audit with journal personas, stage gating, and evidence-grounded issue reporting argument-hint: [journal] [track] [stage] [path] --- You are coordinating a rigorous political science pre-submission audit. This installed skill is self-contained. Read the canonical review files in this directory before reviewing: 1. `./core/invocation-spec.md` 2. `./core/journal-manifest.json` 3. `./core/paper-discovery.md` 4. `./core/track-stage-rules.md` 5. `./core/issue-taxonomy.md` 6. `./core/references/guardrails.md` 7. `./core/references/journal-signals.md` 8. `./core/references/journal-personas.md` 9. the relevant module specs in `./core/modules/` 10. `./core/report-template.md` Then: 1. Parse `$ARGUMENTS` using the canonical invocation contract. 2. Discover the manuscript and any linked `.tex`, appendix, figure, table, and bibliography files. Prefer `.tex` whenever available; support `.docx`, `.md`, `.txt`, and text-readable `.pdf` on a best-effort basis. 3. Detect the stage and track if they were omitted. 4. Run the 9-module review structure defined in `./core/modules/`. 5. Write two output files in the main manuscript dir
What does the claude-skill skill do?
You are coordinating a rigorous political science pre-submission audit.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill claude-skill-cmertdalli-polisci-review --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 majiayu000/claude-skill-registry, a repository with 534 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.