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[71] CLOSE. Quick, safe cleanup after completing a milestone. Fix objective issues only (syntax errors, dead code, poor naming). Must be <5% of main task time, <30 seconds per fix, and reversible. Use after key points, not after every small change.

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[72] CLOSE. Save and restore session context between conversations. Use when ending a session to preserve progress, or starting a new session to restore context. Triggers on "save session", "end session", "preserve context", "handoff", "continue from last time", or when context window is running low.

日本語の概要は準備中です。原文の説明を表示しています。

[73] CLOSE. Record and maintain Lessons in MEMORY.md after a problem is solved or the user confirms success. Use when capturing a new lesson, moving lessons through the pipeline, or enhancing Project Architecture Quick Reference with new insights.

日本語の概要は準備中です。原文の説明を表示しています。

[74] CLOSE. Quick checkpoint during active work when context is running low. Use multiple times per development cycle to preserve progress and lessons. Lighter than close-session — no full handoff needed. Triggers on 'save progress', 'checkpoint', 'context low', or automatically when nearing token limits.

日本語の概要は準備中です。原文の説明を表示しています。

Apply timeless programming wisdom from "97 Things Every Programmer Should Know" when writing, reviewing, or refactoring code. Use for design decisions, code quality checks, professional development guidance, testing strategies, and workflow optimization.

日本語の概要は準備中です。原文の説明を表示しています。

The science of learning through controlled experimentation. A/B testing isn't about picking winners—it's about building a culture of validated learning and reducing the cost of being wrong. This skill covers experiment design, statistical rigor, feature flagging, analysis, and building experimentation into product development. The best experimenters know that every test, positive or negative, teaches something valuable. Use when "a/b test, experiment, hypothesis, statistical significance, sample size, feature flag, variant, control, treatment, p-value, conversion rate, test winner, split test, experimentation, testing, statistics, feature-flags, hypothesis, growth, optimization, learning, validation" mentioned.

日本語の概要は準備中です。原文の説明を表示しています。

Comprehensive China A-share stock analysis covering fundamental analysis, technical analysis, policy impact assessment, and market-specific features (T+1 trading, price limits, northbound capital flow). Use when user asks about A股分析, Chinese mainland stocks, Shanghai/Shenzhen listed stocks, or needs analysis considering China market characteristics.

日本語の概要は準備中です。原文の説明を表示しています。

Comprehensive WCAG accessibility auditing with multi-tool testing (axe-core + pa11y + Lighthouse), TRUE PARALLEL execution with Promise.allSettled, graceful degradation, retry with backoff, context-aware remediation, learning integration, and video accessibility. Uses 3-tier browser cascade: Vibium → agent-browser → Playwright+Stealth.

日本語の概要は準備中です。原文の説明を表示しています。

Adds accessibility annotations (ARIA labels, roles, alt text) to make web content accessible. Use when user asks to "add accessibility", "make accessible", "add aria labels", "wcag compliance", or "screen reader support".

日本語の概要は準備中です。原文の説明を表示しています。

Library of accessibility personas representing people with various disabilities, impairments, and situational limitations. Use this skill when users ask about disability types, accessibility personas, user needs for specific conditions, how people with disabilities use technology, assistive technology users, or designing for accessibility. Triggers on requests about blindness, deafness, cognitive disabilities, motor impairments, low vision, screen readers, sign language, autism, ADHD, temporary disabilities, or any question about "how would a person with X use this".

日本語の概要は準備中です。原文の説明を表示しています。

OneKey monorepo architecture and code organization. Use when understanding project structure, package relationships, import rules, or component organization. Triggers on architecture, structure, packages, imports, hierarchy, dependencies, monorepo, organization.

日本語の概要は準備中です。原文の説明を表示しています。

Git workflow and conventions for OneKey development. Use when creating branches, committing code, or creating PRs. Triggers on git, branch, commit, PR, pull request, merge, workflow.

日本語の概要は準備中です。原文の説明を表示しています。

Jotai state management patterns for OneKey. Use when working with atoms, global state, feature state, or context atoms. Triggers on jotai, atom, state, globalAtom, contextAtom, store, persistence, settings.

日本語の概要は準備中です。原文の説明を表示しています。

在每次回复中使用固定前缀并列出本次实际参考的指令/文件，便于校验是否遵循上下文与规则。

日本語の概要は準備中です。原文の説明を表示しています。

[01] META. Сканирует доступные skills, создает план выполнения и идет шаг за шагом с подтверждением каждого этапа. Triggers on complex tasks, multi-step work, or when structured execution is needed.

日本語の概要は準備中です。原文の説明を表示しています。

Patches native modules (expo-image, react-native, etc.) to fix native crashes or bugs.

日本語の概要は準備中です。原文の説明を表示しています。

Interactive guide for integrating new DeFi modules or protocols into OneKey. Use when adding new DeFi features like staking protocols, lending markets, or entirely new DeFi modules. Triggers on DeFi, protocol, integration, Earn, Borrow, staking, lending, supply, borrow, withdraw, repay, claim, new module, Pendle, Aave, Compound.

日本語の概要は準備中です。原文の説明を表示しています。

[21] UNDERSTAND. Deep research workflow for this project using 150% scope (100% core + 50% boundary), evidence-based reasoning, and structured investigation notes. Use when the task requires investigation, root-cause analysis, or mapping unknown areas. Always maintain a research log file that captures findings, hypotheses, and next branches; use web.run when external verification is needed.

日本語の概要は準備中です。原文の説明を表示しています。

Executive coaching skill that helps you plan your 2026 using research-backed process goals. Guides you through discovery questions, creates outcome goals, converts them to daily behaviors, and sets up accountability systems. Use when you want to plan your year, set goals, or need a coach to help you stay focused.

日本語の概要は準備中です。原文の説明を表示しています。

Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on "Milkdrop", "music visualization", "WebGL visualizer", "Butterchurn", "audio reactive", "FFT visualization", "spectrum analyzer". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.

日本語の概要は準備中です。原文の説明を表示しています。

[20] UNDERSTAND. Achieve complete clarity on goals, expectations, and success criteria. Use when starting new tasks, when requirements seem unclear, when scope is ambiguous, or anytime you need full understanding of what success looks like. Triggers on "clarify goal", "understand requirements", "what exactly needed", "define success", or when facing unclear expectations.

日本語の概要は準備中です。原文の説明を表示しています。

Second step in building instruction context for codebase

日本語の概要は準備中です。原文の説明を表示しています。

Sentry error tracking and monitoring for OneKey. Use when configuring Sentry, filtering errors, analyzing crash reports, or debugging production issues. Covers platform-specific setup (desktop/mobile/web/extension) and error filtering strategies.

日本語の概要は準備中です。原文の説明を表示しています。

Analyze and fix production errors from Sentry crash reports. Use when investigating AppHang, ANR, crashes, or production errors. Includes complete workflow from JSON analysis to bug fix implementation with evidence-based methodology. Triggers on sentry, crash, AppHang, ANR, error analysis, production error, bug analysis, crash report, freeze, hang, not responding, stacktrace, breadcrumbs, exception.

日本語の概要は準備中です。原文の説明を表示しています。