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Render structured data as aligned ASCII tables (column width rules, truncate/wrap, border styles, compact/readable variants) for terminal/log/email.

A comprehensive skill for creating new ddd4j (Domain-Driven Design for Java) projects based on ddd4j-boot framework. Use ONLY when the user explicitly mentions creating a ddd4j project, initializing ddd4j project, or setting up ddd4j-boot project. Supports three project types: single-module monolith, multi-module monolith, and microservices.

Install, configure, and use nvm (Node Version Manager) to manage Node.js versions. Routes to focused sub-skills for installation, shell setup, version switching, .nvmrc defaults, global packages, Docker/CI, troubleshooting, and more. Use when the user needs to manage Node.js versions, install nvm, or troubleshoot nvm usage.

Batch execute insert, update, replace, move, and delete operations on Pencil .pen design nodes via the batch_design MCP tool. Use when the user explicitly mentions Pencil and needs to draw, insert, change, remove, or move elements on the canvas.

Smartly find empty canvas space. Use to automatically plan artboard placement to avoid overlap and keep the canvas organized.

Get current design environment context. Use when you need to understand what is currently selected, canvas position, and environment state before any task.

Read design token variables (colors, fonts, spacing) from a Pencil .pen file via the get_variables MCP tool. Use when the user explicitly mentions Pencil and needs to list design tokens, check the current theme, or retrieve variable IDs for use in batch_design operations.

Batch replace matching style properties (colors, fonts, sizes) across nodes in a Pencil .pen file via the replace_all_matching_properties MCP tool. Use when the user explicitly mentions Pencil and needs to globally swap colors, update font families, migrate to a new brand style, or batch-adjust spacing across frames.

Set or update design variables. Use to establish or maintain a Design Token system.

Capture a structural snapshot of the node tree in a Pencil .pen file via the snapshot_layout MCP tool, optionally filtering to only show layout problems. Use when the user explicitly mentions Pencil and needs to analyze page hierarchy, check for clipped or overlapping elements, or prepare for layout adjustments.

Prevent multiple app instances and handle second-launch arguments using the Tauri v2 single-instance plugin. Use when enforcing single-instance behavior, forwarding CLI arguments from a second launch, or focusing the existing window on re-entry.

Explain Tauri v2 architecture concepts including the process model, IPC isolation, and brownfield integration patterns. Use when understanding how Tauri works internally, choosing between isolation and brownfield modes, or making architecture decisions before implementation.

Creates Standard Operating Procedures (SOPs) by combining atomic Agent Skills into multi-step composite workflows with decision logic and human-in-the-loop checkpoints. Supports searching available skills, drafting SOP structures, and validating dependencies. Use when the user wants to design automated business workflows, chain multiple skills into a repeatable process, or create composite skill orchestrations.

> **Nightly usage (2026-04-09):** `$dream start` now runs harvest as part

'Manage the PROGRAM.md operational contract that bounds autonomous development loops. Use when setting up or validating PROGRAM.md/AUTODEV.md, choosing between autodev and evolve, or turning a repeated postmortem -> analyze -> plan -> pre-mortem -> implement -> validate cycle into the v2 autonomous workflow.'

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Track progress through the RPI workflow with permanent gates.

'Manage PROGRAM.md/AUTODEV.md contracts for bounded autonomous development loops.'

'Check knowledge flywheel health, velocity, staleness, and pool depth.'

'Record and verify Brownian Ratchet progress gates.'

Ranks papers by evidence strength and methodological quality so literature can be compared and prioritized for citation without confusing design labels, validation depth, and actual reliability.

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Use anki-card-creator for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries for study-card generation.

Use biotech-pitch-deck-narrative for academic writing workflows that need structured investor-facing storytelling, explicit assumptions, and clear output boundaries.

Use figure reference checker for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.

Use grant budget justification for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.

Use poster layout planner for other workflows that need structured execution, explicit assumptions, and clear output boundaries.

Use lab budget forecaster for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.

Use preclinical pkpd analyst for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.

A comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival; use it when you need to model censored time-to-event outcomes, fit Cox/RSF/GB models or Survival SVMs, evaluate with C-index/Brier score, or handle competing risks.

> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)

Calculate literature growth velocity and acceleration to assess research.

IoT monitoring simulation to predict CO2 tank depletion and prevent weekend gas outages in cell culture facilities. Monitors cylinder pressure, calculates consumption rates, provides early warnings, and supports automated scheduling via cron.

Calculate medical date windows including gestational age, estimated delivery dates, and follow-up visit scheduling. Produces structured JSON output for clinical research and trial coordination workflows.

Output rules for all agents - concise, scannable, actionable. Based on Matt Pocock's planning principles.

Core principle that the main agent is a coordinator, not an implementer. All work must be delegated to subagents.

Shared commit message rules and technical constraints referenced by /stage-commit and /commit-staged. Not typically invoked directly.

Produce an implementation plan at `.turbo/plans/<slug>.md`. Capture the task, survey patterns, escalate decisions, discuss, and draft.

Run two independent interpretations of third-party feedback in parallel (internal + codex peer), then reconcile into enriched items with clear intent summaries. Designed for feedback where the author'

Stage implementation changes with precise file selection.

Slash commands are frequently-used prompts defined as Markdown files that Claude executes during interactive sessions. Understanding command structure, frontmatter options, and dynamic features enable

Hooks are event-driven automation scripts that execute in response to Claude Code events. Use hooks to validate operations, enforce policies, add context, and integrate external tools into workflows.

StatsPAI is the agent-native Python package for causal inference and applied econometrics. One `import statspai as sp`, 900+ functions, covering the complete empirical research workflow.

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Compile a Beamer LaTeX slide deck with XeLaTeX (3 passes + bibtex). Use when compiling lecture slides.

Compile a LaTeX manuscript with pdflatex (3 passes + bibtex). Use when compiling the research paper.