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Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
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Compare multiple job offers side-by-side with total compensation analysis
Find opportunities to add metrics and estimate numbers when exact data unavailable
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.
Diagnose ClickHouse cluster health and provide concrete remediation.
> **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.'
Monitor the knowledge flywheel health.
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Track progress through the RPI workflow with permanent gates.
Monitor competitor clinical trial progress and alert on market risks.
'Manage PROGRAM.md/AUTODEV.md contracts for bounded autonomous development loops.'
'Coordinate 2+ Codex agents on bounded parallel tasks with file ownership.'
'Check knowledge flywheel health, velocity, staleness, and pool depth.'
'Record and verify Brownian Ratchet progress gates.'
Help users write correct R code for async, parallel, and distributed computing using mirai. Use when users need to: run R code asynchronously or in parallel, write mirai code with correct dependency passing, set up local or remote parallel workers, convert code from future or parallel, use parallel map operations, integrate async tasks with Shiny or promises, or configure cluster/HPC computing.
Privacy-protected ID management with @ledgerhq/client-ids — DeviceId, UserId, DatadogId, export-rules.json
Compute metrics for Claude Code sessions. Discovers via ccrider, filters trivial, computes friction/opportunity/fingerprint scores. Use for broad session triage.
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.
Monitor and summarize competitor clinical trial status changes from ClinicalTrials.gov.
> **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.
Local schedule management for adding events, tracking deadlines, generating reminders, and detecting time conflicts when users need offline scheduling with optional popup notifications.
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.