claude-academic-setup

Get code reviews, plan evaluations, and second opinions using OpenAI Codex CLI (GPT-5.5). Use for reviewing code changes, evaluating implementation plans, getting alternative perspectives, or validating approaches with another AI model.

Web search, URL analysis, and multi-source synthesis using the Antigravity CLI (agy). Use for online research, fetching and analyzing web pages, combining web search with local files, and synthesizing information from multiple sources.

Maintain a per-repo napkin file that tracks mistakes, corrections, and what works. Activates EVERY session, unconditionally. Read the napkin before doing anything. Write to it continuously as you work — not just at session boundaries. Log your own mistakes, not just user corrections. The napkin lives in the repo at `.claude/napkin.md`.

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation. Also use when user says 'ask me questions', 'interview me', or needs help clarifying requirements.

Use when returning to a project after time away, starting a work session, or recovering from interruption - provides comprehensive project context and recent activity summary

Clean survey data with missing value handling, variable recoding, and Stata label conversion to R factors. Use when processing raw survey/health study data, handling coded missing values (91/92/97/98), or converting Stata labels in R.

Use when starting work with a new data file, before any analysis or visualization. Also use when encountering parsing errors, unexpected values, or when the user says "check this data" or "what's in this file".

Sync local repository with Harvard Dataverse archive using the API. Use when uploading, replacing, or deleting files in a Dataverse dataset.

Use when the user wants to create GitHub issues for internal team discussion of core empirical claims in a research paper, or when the user says "post issues", "create claim issues", "set up GitHub discussion", or "discuss findings on GitHub".

Computation of marginal effects, comparisons, and predictions using the marginaleffects R package. Use when computing AMEs, factor contrasts, continuous contrasts, or predicted values from regression models. NOT for plotting (use /marginal-effects-plot or /coefficient-plot).

Create professional Marp presentation slides with 7 beautiful themes (default, minimal, colorful, dark, gradient, tech, business). Use when users request slide creation, presentations, or Marp documents. Supports custom themes, image layouts, and "make it look good" requests with automatic quality improvements.

Manage Qualtrics surveys via API - list blocks/questions, create/update questions, add JavaScript, manage embedded data and display logic. Use for modifying existing surveys with LLM-powered features.

Use when creating new skills, editing existing skills, scaffolding skill directories, packaging skills for distribution, or verifying skills work before deployment. Combines Anthropic's official skill authoring guide with TDD methodology.

Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.

Design-based survey analysis in R using the survey package. Use for survey design setup, weighted descriptives, svyglm regression, raking, and calibration. NOT for IPW/propensity scores (use /compute-survey-weights).

Use when creating any data visualization, chart, figure, or plot. Also use when the user asks to "plot", "graph", "visualize", "make a figure", or refine an existing chart.