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.
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.
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".
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".
Use when the task involves reading, creating, or editing .docx documents, especially when formatting or layout fidelity matters; prefer python-docx plus the bundled scripts/renderdocx.py for visual checks.
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague…
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).
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…
Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as reportlab, pdfplumber, and pypdf for generation and extraction.
Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via playwright-cli or the bundled wrapper script.
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 the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed.
Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not…
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.
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.
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originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: