Claude Skills by majiayu000

Claude Code customization for comfortable users. Covers skills, commands, MCP, hooks. Use when: user knows basics and wants to customize Claude Code.

Debug issues that occur sporadically and are hard to reproduce. Use monitoring and systematic investigation to identify root causes of flaky behavior.

Use when designing Internal Developer Platforms (IDPs), building platform teams, or improving developer experience. Covers platform engineering principles, Backstage, portal design, and platform team structures.

Transform raw or transcript-like text into a polished Markdown document for internal sharing. Use when the user provides a text file (any mix of zh_tw, zh_cn, or en) and wants sentence repair, structured headings, concise paragraphs, a 3–7 bullet summary, and an Action Items section when tasks are mentioned.

Internal documentation and knowledge base

Analyzes and optimizes internal link structure to improve site architecture, distribute page authority, and help search engines understand content relationships. Creates strategic internal linking plans.

Plans internal link structure using content silos. Outputs link map with SEO priority. Does not create links.

Connect all buttons and links to pages or same-page sections. Ensures every CTA has a valid href, uses Next.js Link component, and adds section IDs for anchor links.

Guides adding and structuring internal Go packages: when to create a new package, import paths, cmd vs internal boundaries, and domain layout. Use when creating or refactoring code under internal/, adding a new domain, or when the user asks about internal package structure.

Design and build internal developer platforms for self-service infrastructure

Drive zero-to-one product initiatives within a large organization by acting as the "keeper of the flame." Use this skill when pitching a bottoms-up idea, navigating a messy discovery phase, or rallying a team around a high-stakes vision that lacks formal top-down mandate.

- **Name:** internal-red-team-audit - **Category:** Adversarial Testing - **Version:** 1.0.0

MANDATORY for ANY questions about Acme Corp internal product codes, employee IDs, server names, project codes, or internal systems. Contains proprietary company data NOT available in public documentation.

A framework for launching and scaling a high-growth "New-Co" within a mature organization. Use this when you need to pivot a legacy business to catch a market wave (like AI), leverage proprietary assets for a new product line, or protect a high-speed innovation project from corporate "immune system" drag.

Implement performant i18n pipelines with code-splitting and ICU message support.

Implements multi-language support using i18next, gettext, or Intl API with translation workflows and RTL support. Use when building multilingual applications, handling date/currency formatting, or supporting right-to-left languages.

Internationalization (i18n) and localization (l10n) patterns using GetX Translations for multi-language Flutter applications

Deals with i18n in your project.

i18n/l10n implementation for multi-language support. Use for translation setup, RTL support, and locale-aware formatting.

Orchestrate comprehensive 7-phase RBMAS research for multi-dimensional queries (4+ dimensions). Coordinates multiple specialist agents through SCOPE → PLAN → RETRIEVE → TRIANGULATE → DRAFT → CRITIQUE → PACKAGE methodology. Use for thorough internet research requiring multiple sources, iterative refinement, and quality gates. Triggers - research, investigate, analyze with 4+ distinct dimensions or comprehensive depth requirements.

Orchestrate lightweight parallel internet research (2-4 dimensions). Spawns light-research-researcher workers for each subtopic dimension, coordinates findings, synthesizes final reports. Use for standard research queries with 2-3 distinct angles. Examples - cloud gaming optimization, quantum computing overview, WebRTC performance analysis. Triggers - research, investigate, analyze with multiple aspects.

Orchestrate comprehensive TODAS research for novel/emerging domains (1-7 subagents adaptive). Specializes in unprecedented topics, post-training data, and emerging technologies. Uses adaptive depth-based methodology: straightforward queries (1 agent), standard queries (2-3 agents), complex queries (5-7 agents). Handles depth-first (multiple perspectives), breadth-first (distinct sub-topics), and straightforward investigations. Triggers include "novel", "emerging", "2025", "2026", "unprecedent...

Search the internet using Perplexity API. Use for current information, news, or web research. Keywords: search, web, internet, perplexity, news, research.

Tests variable interpolation features like {baseDir}. Use for testing path expansion.

Problem-solving strategies for interpolation in numerical methods

Interpreter Pattern pattern for C development

Use when interpreting Culture Index surveys, CI profiles, behavioral assessments, or personality data. Supports individual interpretation, team composition (gas/brake/glue), burnout detection, profile comparison, hiring profiles, manager coaching, interview transcript analysis for trait prediction, candidate debrief, onboarding planning, and conflict mediation. Handles PDF vision or JSON input.

Component skill for systematic result interpretation with intellectual honesty in DataPeeker analysis sessions

Scans the codebase to extract intended features, business logic, and data models.

Interrogate code changes to surface decisions, alternatives, and confidence levels. Use when user asks to "interrogate", "what decisions", "hardest part", "alternatives", or wants to understand the reasoning behind code changes.

Use when analyzing low-level interrupt behavior - debugging interrupt handler issues, investigating crashes or triple faults, verifying privilege level transitions, analyzing register corruption between interrupts, or understanding interrupt sequencing and timing issues.

Classify intervention urgency and apply appropriate response tier protocols.

Write article introductions and conclusions for sociology interview research. Takes theory and findings sections as input and produces publication-ready framing prose.

Gather structured user input via web form. Use when you need multiple clarifying questions answered, collecting design mockups/images, or getting user decisions on implementation choices. Better than sequential chat Q&A when 3+ questions are needed.

AI-led stakeholder interviews using LLMREI research-backed patterns. Conducts structured interviews to elicit requirements through context-adaptive questioning, active listening, and systematic requirement extraction.

Master user interviews including interview guide design, questioning techniques, active listening, probing, avoiding leading questions, and interview analysis. Use when conducting user interviews, designing interview guides, researching user needs, discovering problems, validating assumptions, or gathering qualitative insights. Covers interview best practices, question types, and interviewing techniques from Teresa Torres and Erika Hall.

This skill should be used when the user asks to "generate interview questions", "prepare for interview", "optimize resume", "conduct mock interview", "analyze git commits for resume", "generate resume from code", "review my resume", or mentions interview preparation, career assistance, or extracting project experience from git history. Provides comprehensive interview and career development guidance for both job seekers and interviewers.

Ensures proper requirements clarification before implementing features. Activates when asked to implement, build, create, or add features during what appears to be an interview or timed coding exercise.

Prepare for job interviews across formats—behavioral, technical, portfolio reviews, and negotiations. STAR/CAR frameworks for stories, common question patterns, research strategies, and follow-up templates. Triggers on interview prep, job interviews, behavioral questions, or salary negotiation requests.

A versatile AI designed to help candidates excel in technical interviews by generating tailored, conversational responses that reflect both depth of knowledge and real-world experience. Produces succinct yet comprehensive answers suitable for ~30 second verbal delivery.

When the user needs to schedule interviews or meetings with specific time constraints (e.g., within certain dates, during working hours, with minimum duration requirements). This skill calculates available time slots based on date ranges, working hour constraints, and duration needs, then creates calendar events with appropriate details. Triggers include phrases like 'schedule interviews', 'book time slots', 'within [date range]', 'during working hours', or 'reserve [duration] for meeting'.

Эксперт по interview scorecards. Используй для структурированных интервью и оценки кандидатов.

면접 스크립트 작성 및 PDF 내보내기가 필요할 때

Deep-dive technical discovery and requirement gathering before coding. Use when a task is broad, ambiguous, or requires architectural decisions.

Frameworks for technical interviews and salary negotiation. Use for behavioral interview prep (STAR method), technical interview communication, offer evaluation, and compensation negotiation strategies.

Auto-update synthesis documents after interview analysis. Use after video-transcript-analyzer creates a new interview analysis file.

将访谈记录、会议纪要、邮件沟通等非结构化内容快速转换为符合CRAFT标准的User Story草稿。适合在需求调研阶段使用，当有大量访谈笔记需要结构化时。帮助不会写US的PM/BA快速上手，从自然语言访谈记录自动提取As-Want-So结构，节省手动整理时间（1小时→10分钟）。

AI 采访式内容创作系统。不是人写，也不是 AI 自动写，而是 AI 分析后采访人再按人的风格写。通过问答不断沉淀用户画像（观点、写作风格、思考逻辑），持续迭代演进。支持博客、社交媒体、观点文章等场景。

Interview me about a plan to generate a detailed spec.

Proactive requirements gathering - systematically interviews the user to uncover ambiguities, preferences, and constraints BEFORE implementation begins.