cogpsych-rebuttal
Use when writing the response to a Cognitive Psychology (Elsevier) major/minor revision. Reviews here often demand added experiments, more model comparisons, recovery analyses, or fuller reproducibility, so the response must address every point and strengthen the model-driven inference. Structures the response letter; it does not fabricate new results or model fits.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-rebuttal --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.
# Revision Rebuttal (cogpsych-rebuttal) A Cognitive Psychology **revision** typically asks for **more modeling rigor** — an additional experiment, a further model comparison, parameter/model recovery, alternative priors, or reproducible code — because the contribution is a model-driven theoretical claim. The response letter must convert every reviewer and reassure the editor that the **model adjudication is now airtight**, while keeping the integrative argument coherent. ## When to trigger - A major/minor revision arrived and you are planning the revision + response letter - Reviewers requested added experiments, model comparisons, recovery, or open-code changes - A requested analysis or model would change the conclusion - Writing the cover note to the handling editor ## Strategy 1. **Read the editor's letter as the rubric.** Solve the decisive points first; the editor adjudicates among reviewers and decides the next round. 2. **Point-by-point, every comment.** Quote each comment, then respond; never skip one. 3. **Strengthen the model inference, don't just defend.** Many requests (fit a further rival, add recovery, cross-validate, refit hierarchically, share code) make the adjudic
- When to trigger
- Strategy
- Response-letter format
- Worked micro-example (illustrative response entries)
- Revision triage — where each request lands
- Recurring revision pushback and the venue fix
- Anti-patterns
- Output format
- Supplementary resources
What does the cogpsych-rebuttal skill do?
Use when writing the response to a Cognitive Psychology (Elsevier) major/minor revision. Reviews here often demand added experiments, more model comparisons, recovery analyses, or fuller reproducibility, so the response must address every point and strengthen the model-driven inference. Structures the response letter; it does not fabricate new results or model fits.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-rebuttal --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.