Skill.md files: teach Claude once, not every chat.

• SKILL.md

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name: experimental-design
description: Best practices for designing reproducible ML experiments. Use when planning ablations, baselines, or controlled experiments.
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• SKILL.md

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name: meta-analysis
description: Statistical methods for combining results across multiple studies. Use when aggregating cross-study or cross-experiment results.
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• SKILL.md

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name: systematic-review
description: Structured methodology for comprehensive literature review following PRISMA guidelines. Use during literature search and screening stages.
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• SKILL.md

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name: data-loading
description: Optimize data loading pipeline to prevent GPU starvation. Use when setting up DataLoader or data preprocessing.
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• SKILL.md

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name: distributed-training
description: Multi-GPU and distributed training patterns with PyTorch DDP. Use when scaling training across GPUs.
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• SKILL.md

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name: mixed-precision
description: Use FP16/BF16 mixed precision to accelerate training and reduce memory. Use when optimizing GPU performance.
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• SKILL.md

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name: pytorch-training
description: Best practices for building robust PyTorch training loops. Use when generating or reviewing ML training code.
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• SKILL.md

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name: prompt-master
description: Generates optimized prompts for AI tools. Activates only when the user explicitly asks to write, fix, improve, or adapt a prompt for a specific AI tool (LLM, Cursor, Midjourney, image AI, video AI, coding agents, etc.). Does not activate for general conversation, coding tasks, document writing, or other non-prompt-engineering work.
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• SKILL.md

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name: drive-mimo
description: Use when developing or testing the MiMoCode repository and you need to programmatically drive another MiMoCode (mimo) process. Supports headless `mimo run` with JSON events and interactive TUI via tmux for behavior, integration, and visual regression testing. Covers an installed `mimo` binary or a dev build launched from source with `bun dev`; do not use it for ordinary MiMoCode task execution.
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• SKILL.md

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name: effect
description: Answer questions about the Effect framework
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• SKILL.md

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name: arxiv
description: Use this skill whenever the user wants to find, read, cite, track, download, or analyze academic papers on arXiv. That includes: searching papers by topic, author, category, or arXiv ID; fetching abstracts or full metadata; generating BibTeX citations; downloading PDFs; listing the latest submissions in a field (e.g. cs.AI daily digest); checking a paper's citation impact; finding who cites a paper, what it references, or related-paper recommendations. Trigger on mentions of 'arXiv', an arXiv ID (e.g. 2601.02780 or hep-th/0601001), an arxiv.org URL, 'paper search', 'literature review', 'find papers about X', 'cite this paper', or 'what's new in cs.LG'.
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• SKILL.md

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name: claude-code
description: Operate Claude Code CLI (v2.1+) via the terminal only when the user explicitly requests Claude Code or names this skill. Covers print mode (-p), interactive tmux sessions, and background (--bg) orchestration.
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• SKILL.md

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name: codex
description: Run, configure, and troubleshoot OpenAI Codex CLI in non-interactive headless environments. Use for Codex automation in Bash or PowerShell, native Windows or WSL2, shell scripts, CI/CD, Docker, Kubernetes, remote servers, agent harnesses, or batch jobs; for constructing `codex exec` commands; selecting sandbox and approval modes; consuming JSONL events or structured output; resuming sessions; passing prompts through stdin; and handling failures caused by unavailable interactive input such as `request_user_input`.
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• SKILL.md

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name: data-analytics
description: Use this skill for quantitative product or business analysis: data quality checks, metric diagnostics, KPI design and reporting, dashboards, analytical reports, charts, notebooks, market sizing, semantic layers, and evidence-backed recommendations. Also use it whenever Data Analytics is explicitly invoked.
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• SKILL.md

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name: analyze-data-quality
description: Assess whether structured data, query results, dashboards, or analytical evidence are trustworthy enough to use. Use when the task is to check data quality, reconcile conflicting sources or metric definitions, or decide whether evidence is safe to cite.
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• SKILL.md

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name: build-dashboard
description: Build a source-backed dashboard or monitoring view with clear metrics, filters, visual hierarchy, definitions, refresh context, and QA.
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• SKILL.md

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name: build-report
description: Build a durable analytical report with an answer-first narrative, evidence-backed findings, charts or tables, caveats, recommendations, and source context.
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• SKILL.md

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name: report-to-google-doc
description: Narrow conversion skill. Invoke only when the user explicitly asks to convert an existing local or blob-hosted HTML analytics report into a Google Doc, DOCX, or shareable document.
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• SKILL.md

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name: report-to-google-slides
description: Narrow conversion skill. Invoke only when the user explicitly asks to convert an existing HTML analytics report into a native Google Slides deck.
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• SKILL.md

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name: report-to-pdf
description: Narrow conversion skill. Invoke only when the user explicitly asks to convert an existing Data Analytics report, dashboard, or inline chart export into a PDF artifact.
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• SKILL.md

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name: create-data-context
description: Create, update, inspect, or repair Data Analytics semantic layers. Use when the user asks to save data context or create a semantic layer that future Data Analytics work can inspect and cite.
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• SKILL.md

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name: design-kpis
description: Design KPI frameworks, metric definitions, targets, guardrails, and measurement plans for product or business decisions. Use when success metrics, drivers, guardrails, targets, or the measurement approach need to be defined or improved.
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• SKILL.md

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name: gather-business-context
description: Gather business context from connected or provided sources so downstream analysis starts with the right framing. Use when an analytical question depends on missing context, such as what a metric means, what changed recently, or which sources should be checked. If the same prompt asks for diagnosis, recommendation, or a deliverable, gather context first and continue to the focused skill.
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• SKILL.md

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name: index
description: Route broad Data Analytics requests to the appropriate quantitative analysis, visualization, dashboard, report, notebook, KPI, market-sizing, validation, or semantic-layer workflow.
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