Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.

Claude Code ecosystem expertise. Modules: CLI tool (setup, slash commands, MCP servers, hooks, plugins, CI/CD), extensibility (agents, skills, output styles creation), CLAUDE.md (project instructions, optimization). Actions: configure, troubleshoot, create, deploy, integrate, optimize Claude Code. Keywords: Claude Code, Anthropic, CLI tool, slash command, MCP server, Agent Skill, hook, plugin, CI/CD, enterprise, CLAUDE.md, agentic coding, agent, skill, output-style, SKILL.md, subagent, Task tool, project instructions, token optimization. Use when: learning Claude Code features, configuring settings, creating skills/agents/hooks, setting up MCP servers, troubleshooting issues, CI/CD integration, initializing or optimizing CLAUDE.md files.

Create and enhance prompts, system instructions, and principle files. Capabilities: transform verbose prompts, add patterns/heuristics, optimize token usage, structure CLAUDE.md principles, improve agent/persona definitions, apply prompt engineering techniques (CoT, few-shot, ReAct). Actions: create, enhance, optimize, refactor, compress prompts. Keywords: prompt engineering, system prompt, CLAUDE.md, principle files, instruction optimization, agent prompt, persona prompt, token efficiency, prompt structure, workflow prompts, rules, constraints, few-shot, chain-of-thought, soul, tensions, dialectic. Use when: creating new prompts, enhancing principle files, improving system instructions, optimizing CLAUDE.md, restructuring verbose prompts, adding patterns to workflows, defining agent behaviors.

Technical research methodology with YAGNI/KISS/DRY principles. Phases: scope definition, information gathering, analysis, synthesis, recommendation. Capabilities: technology evaluation, architecture analysis, best practices research, trade-off assessment, solution design. Actions: research, analyze, evaluate, compare, recommend technical solutions. Keywords: research, technology evaluation, best practices, architecture analysis, trade-offs, scalability, security, maintainability, YAGNI, KISS, DRY, technical analysis, solution design, competitive analysis, feasibility study. Use when: researching technologies, evaluating architectures, analyzing best practices, comparing solutions, assessing technical trade-offs, planning scalable/secure systems.

> **도메인:** devian-upm-samples

To maintain the integrity of audit logs, we must ensure that agents use their real identities in worklogs, rather than blindly copying "codex" from templates.

专门用于在项目初期或重大功能迭代时进行技术栈选择与方案评估。支持根据 PRD 自动生成 2-3 套对比方案，涵盖前端、后端、数据库及中间件，并提供优劣势分析（性能、SEO、开发成本、可维护性）和最终选型建议。

> **도메인:** devian-upm-samples

UI/UX 设计智能库与推荐专家。包含 67 种风格、96 种配色方案、57 种字体搭配、99 条 UX 指南，支持跨技术栈的设计系统生成。

[02] META. Create new skills when existing ones don't cover the task. Analyze unique requirements, build framework (Frame → Research → Plan → Execute), integrate risks, and declare new skill. Use when facing novel problems that existing skills can't address.

专注于构建高性能、可扩展且架构清晰的 Flutter 应用。涵盖整洁架构、高级状态管理和深度性能优化。

专注于 Python 后端开发，涵盖 FastAPI、异步编程和性能优化。

Transforms conversations and discussions into structured documentation pages in Notion. Captures insights, decisions, and knowledge from chat context, formats appropriately, and saves to wikis or databases with proper organization and linking for easy discovery.

专注于应用安全、认证授权与合规性。

Determine the type of project and summarize the tech stack. Your summary should include:

Turn ideas into clear, buildable specs for AI tools or stakeholder review. Use when starting features, planning projects, or when AI keeps building the wrong thing. Creates Quick Feature Specs (10-15 min) for immediate AI builds or Full Project Scopes (1-2 hours) for budget planning and contractor estimates.

This skill is used to perform genomic feature annotation and visualization for any file containing genomic region information using Homer (Hypergeometric Optimization of Motif EnRichment). It annotates regions such as promoters, exons, introns, intergenic regions, and TSS proximity, and generates visual summaries of feature distributions. ChIPseeker mode is also supported according to requirements.

Perform GO and KEGG functional enrichment using HOMER from genomic regions (BED/narrowPeak/broadPeak) or gene lists, and produce R-based barplot/dotplot visualizations. Use this skill when you want to perform GO and KEGG functional enrichment using HOMER from genomic regions or just want to link genomic region to genes.

This skill identifies the locations of known transcription factor (TF) binding motifs within genomic regions such as ChIP-seq or ATAC-seq peaks. It utilizes HOMER to search for specific sequence motifs defined by position-specific scoring matrices (PSSMs) from known motif databases. Use this skill when you need to detect the presence and precise genomic coordinates of known TF binding motifs within experimentally defined regions such as ChIP-seq or ATAC-seq peaks.

Master index for Odoo 18 guides. This file provides a quick reference to find the appropriate detailed guide for each topic. Use this as an index to locate specific guides when working with Odoo 18 code.

Master index for Odoo 19 guides. This file provides a quick reference to find the appropriate detailed guide for each topic. Use this as an index to locate specific guides when working with Odoo 19 code.

This skill performs chromatin loop detection from Hi-C .mcool files using cooltools.

Create test versions to verify app auto-update functionality. Use when testing update flows, version migration, or validating app upgrade mechanisms. Automates version number and build number configuration for testing the auto-update system. Triggers on auto update, app upgrade, update testing, upgrade flow, version migration, test build, 9XXX version.

Code quality standards for OneKey. Use when fixing lint warnings, running pre-commit tasks, handling unused variables, writing comments, or ensuring code quality. All comments must be in English. Triggers on lint, linting, eslint, oxlint, tsc, type check, unused variable, comment, documentation, spellcheck, code quality, pre-commit, yarn lint.

Cross-platform development patterns for OneKey. Use when writing platform-specific code, handling platform differences, or working with native/web/desktop/extension platforms. Triggers on platform, native, web, desktop, extension, iOS, Android, Electron, platformEnv, .native.ts, .web.ts, .desktop.ts, .ext.ts, cross-platform, multi-platform.

Date and time formatting for OneKey applications. Use when displaying dates, timestamps, or formatting time in UI components. Always use OneKey utilities instead of native JS date methods. Triggers on date, time, timestamp, formatDate, formatTime, toLocaleDateString, toLocaleString, dateUtils, locale, format, display date, show time, datetime, calendar.

Development commands for OneKey monorepo. Use when running dev servers, building apps, linting, testing, or troubleshooting build issues. Triggers on yarn, dev, build, lint, test, desktop, mobile, web, extension, ios, android, compile, bundle.

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.

Internationalization and translation management for OneKey. Use when adding translations, displaying text, handling locales, or managing translation keys. NEVER modify auto-generated translation files. Triggers on i18n, translation, locale, formatMessage, useIntl, ETranslations, text, string, hardcode, intl, translate, language, localization, internationalization.

Creates a new Claude Code Skill following best practices. Use when the user wants to create a new skill, add a skill, or asks about writing skills for Claude Code. Fetches latest documentation before generating skill content. New skill. Create a skill.

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

Performance optimization guidelines for OneKey React/React Native applications. Use when optimizing app performance, fixing UI freezes/lag, reducing re-renders, handling concurrent operations, or analyzing performance bottlenecks. Triggers on performance, optimization, optimize, slow, lag, freeze, hang, jank, stutter, memory, leak, concurrent, batching, batch, memoization, memo, bridge, windowSize, contentVisibility, FlashList, re-render, fps, tti, bundle.

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.

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.

Configures 1Password CLI with direnv for fast, secure credential loading. Activates for: 1Password + direnv setup, slow secrets (>2 sec), .env.op files, op:// references, AWS credentials via env vars, --reveal flag issues, repeated biometric prompts, creating 1Password items programmatically, op item get errors. Not for: 1Password GUI usage, SSH keys (use 1Password SSH agent).

Create and manage project-specific design systems for SaaS applications. Use when starting a new app (CREATE mode), updating an existing design system (MODIFY mode), or building features that need to follow established patterns (WORK WITHIN mode). Outputs to instructions/design-system.md as the single source of truth for all UX/UI decisions.

Identify friction points, bottlenecks, bugs, and technical debt. Use for audits, debugging sessions, when something feels wrong, or before major work to surface hidden issues. This is the second system in the 5-system framework.

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Generated skill from request: pattern emergence detector

Generated skill from request: trinity auto-boot validator

🍆👾 CHAOS SPAWN - Maximum jank energy skill generated from pure chaos

This skill performs differential DNA methylation analysis (DMRs and DMCs) between experimental conditions using WGBS methylation tracks (BED/BedGraph). It standardizes input files into per-sample four-column Metilene tables, constructs a merged methylation matrix, runs Metilene for DMR detection, filters the results, and generates quick visualizations.

This skill analyzes the local DNA methylation profiles around target genomic regions provide by user. Use this skill when you want to vasulize the average methylation profile around target regions (e.g. TSS, CTCF peak or other target regions).

[23] UNDERSTAND. Consult external AI models when internal sources are exhausted. Build quality prompts using Prompt150 formula (Context + Query + Method + Style). Use when Loop150 exhausts internal sources, need real-world precedents, confidence <75%, or require reasoning from specialized AI models.

name: global-methylation-profile

This pipeline performs genome-wide segmentation of CpG methylation profiles to identify Unmethylated Regions (UMRs), Low-Methylated Regions (LMRs), and Partially Methylated Domains (PMDs) using whole-genome bisulfite sequencing (WGBS) methylation calls. The pipeline provides high-resolution enhancer-like LMRs, promoter-associated UMRs, and large-scale PMDs characteristic of reprogramming, aging, or cancer methylomes, enabling integration with chromatin accessibility, TF binding, and genome architecture analyses.

Prepares meeting materials by gathering context from Notion, enriching with Claude research, and creating both an internal pre-read and external agenda saved to Notion. Helps you arrive prepared with comprehensive background and structured meeting docs.

This skill performs transcription factor (TF) footprint analysis using TOBIAS on ATAC-seq data. It corrects Tn5 sequence bias, quantifies TF occupancy at motif sites, generates footprint scores, and optionally compares differential TF binding across conditions.

This skill performs protein-mediated regulatory community analysis from ChIA-PET datasets and provide a way for visualizing the communities. Use this skill when you have a annotated peak file (in BED format) from ChIA-PET experiment and you want to identify the protein-mediated regulatory community according to the BED and BEDPE file from ChIA-PET.

Build features with AI coding tools (Claude Code, Lovable, Replit, Cursor). Use when implementing specs, iterating on AI code, or choosing tools. Focuses on tool selection, effective prompting, and iteration workflows for non-technical founders.