Content & Writing

by aiskillstore

Work with pytest-recording (VCR.py) for recording and replaying HTTP interactions in tests. Use when writing VCR tests, managing cassettes, configuring VCR options, filtering sensitive data, or debugging recorded HTTP responses.

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Python asyncio patterns for concurrent programming. Triggers on: asyncio, async, await, coroutine, gather, semaphore, TaskGroup, event loop, aiohttp, concurrent.

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Use when reading or writing Python files (.py, pyproject.toml, requirements.txt).

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CLI application patterns for Python. Triggers on: cli, command line, typer, click, argparse, terminal, rich, console, terminal ui.

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SQLAlchemy and database patterns for Python. Triggers on: sqlalchemy, database, orm, migration, alembic, async database, connection pool, repository pattern, unit of work.

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FastAPI web framework patterns. Triggers on: fastapi, api endpoint, dependency injection, pydantic model, openapi, swagger, starlette, async api, rest api, uvicorn.

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Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.

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pytest testing patterns for Python. Triggers on: pytest, fixture, mark, parametrize, mock, conftest, test coverage, unit test, integration test, pytest.raises.

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在沙盒环境中执行Python代码，用于数据分析、可视化和生成Excel、Word、PDF等文件。支持数据清洗、统计分析、机器学习、图表生成、文档自动化等复杂工作流。

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Python scripting with uv and PEP 723 inline dependencies. Use when creating

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Comprehensive Python programming guidelines based on Google's Python Style Guide. Use when Claude needs to write Python code, review Python code for style issues, refactor Python code, or provide Python programming guidance. Covers language rules (imports, exceptions, type annotations), style rules (naming conventions, formatting, docstrings), and best practices for clean, maintainable Python code.

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Python type hints and type safety patterns. Triggers on: type hints, typing, TypeVar, Generic, Protocol, mypy, pyright, type annotation, overload, TypedDict.

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Python virtual environment management, dependency handling, and project setup automation.

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PR作成前の品質保証チェックを実行します。Lint、テスト、ビルド、カバレッジ確認を自動で行い、合格/不合格を判定します。フロントエンドのみ、バックエンドのみ、または両方のチェックが可能です。

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Automatically apply safe quality fixes including formatting (Black, isort), linting (Ruff auto-fixes), and resolve formatter conflicts. Use when quality checks fail or before committing code.

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Generate comprehensive quality report with metrics and verification. Produces final CHAPTER_XX_VERIFICATION.md and quality_metrics.json for deployment approval.

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Automatically reviews DevPrep AI code for quality standards including ESLint compliance, TypeScript strict mode, 180-line file limits, complexity under 15, proper naming conventions, import patterns, and architectural compliance with the 6-folder structure

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Verify the final deliverable meets all quality criteria before delivery. Use as the final validation step to ensure the output meets the user's quality standards across all 6 dimensions.

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Analyze and optimize SQL queries for better performance and efficiency.

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Use when implementing new features in Quetrex. Ensures TDD, TypeScript strict mode, Next.js App Router patterns, ShadCN UI components, and security best practices are followed. Updated for November 2025 standards.

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Each project card should show the current month's API costs with a small trend indicator (up/down arrow).

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Generate 50-question interactive quizzes using the Quiz component with randomized batching.Use when creating end-of-chapter assessments. Displays 15-20 questions per session withimmediate feedback. NOT for static markdown quizzes.

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Modern R development practices emphasizing tidyverse patterns (dplyr 1.1 and later, native pipe, join_by, .by grouping), rlang metaprogramming, performance optimization, and package development. Use when Claude needs to write R code, create R packages, optimize R performance, or provide R programming guidance.

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Details on the Retrieval Augmented Generation pipeline, Ingestion, and Vector Search.

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Comprehensive React 19 patterns including all hooks, Server/Client Components, Suspense, streaming, and transitions. Ensures correct React 19 usage with TypeScript.

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Use when reading or writing React components (.tsx, .jsx files with React imports).

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Use when creating UI components in React - functional components, hooks, custom hooks, or component composition patterns.NOT when backend logic, API routes, or non-React frameworks are involved.Triggers: "create component", "build widget", "KPI card", "form", "modal", "custom hook", "useContext", "useState", "useEffect".

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Build and manage React Native/Expo mobile apps including project setup, development workflows, and platform-specific guidance. Use when working on mobile app development, configuration, or running apps.

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Logging, error messages, and debugging patterns for React. Use when adding logging, designing error messages, debugging production issues, or improving code observability. Works for both React web and React Native.

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Performance optimization for React web applications. Use when optimizing renders, implementing virtualization, memoizing components, or debugging performance issues.

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Design and implement React Server Components with Next.js 15 App Router. Master server-first architecture, streaming SSR, Server Actions, and modern data fetching patterns for 2025+ frontend development.

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Complex multi-step operations in React. Use when implementing flows with multiple async steps, state machine patterns, or debugging flow ordering issues. Works for both React web and React Native.

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Testing patterns for React with Jest and React Testing Library. Use when writing tests, mocking modules, testing Zustand stores, or debugging test failures in React web applications.

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Write developer-oriented README as onboarding documentation. Use when creating/updating README, setting up new projects, or when new developers need to understand the codebase quickly. README = Entry point + Architecture overview + Working agreement.

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Transfer knowledge from source domains to novel target situations through structural mapping. Use when facing new markets, products, or situations where past experience provides relevant patterns. Produces adapted solutions with explicit mappings and context adjustments.

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Execute evidence-based decision-making through 6-stage causal flow. Use for known processes, operational execution, and decisions with clear cause-effect chains.

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Extract patterns and generalizations from multiple observations. Use when detecting recurring themes, building predictive rules, or identifying systemic behaviors from accumulated data. Produces validated patterns with confidence bounds and exception handling.

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Implement ReasoningBank adaptive learning with AgentDB for trajectory tracking, verdict judgment, memory distillation, and pattern recognition to build self-learning agents that improve decision-making through experience.

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Master receipt scanning operations including parsing, debugging, enhancing accuracy, and database integration. Use when working with receipts, images, OCR issues, expense categorization, or troubleshooting receipt uploads.

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This skill helps you work with the receipt scanning tools in the nonprofit_finance_db project. It includes manual entry tools, automated OCR scanning, and database integration for tracking receipts...

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Helps add, edit, validate, and manage recipe data in recipes.js. Use this when the user wants to create new recipes, modify existing ones, fix recipe formatting, or validate recipe structure.

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Recover session state from memory-keeper after context loss.

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Process large document corpora (1000+ docs, millions of tokens) through knowledge graph construction and stateful multi-hop reasoning. Use when (1) User provides a large corpus exceeding context limits, (2) Questions require connections across multiple documents, (3) Multi-hop reasoning needed for complex queries, (4) User wants persistent queryable knowledge from documents. Replaces brute-force document stuffing with intelligent graph traversal.

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コードリファクタリングスキル（DRY原則適用、複雑度削減、パフォーマンス最適化、デグレーション防止）

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Systematic refactoring with small-step discipline. Use when user says 'refactor', 'clean up', 'restructure', 'extract', 'rename', 'simplify', or mentions code smells. Enforces one change → test → commit cycle. For structural improvements, NOT style/formatting (use /lint). NOT for adding features or fixing bugs.

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Pattern for producing quality reflections after completing work. Required for all agent outputs.

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Create a new version release with git tag and GitHub Release. Use when user asks to release, publish, create a new version, or ship a release. (project)

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Manages release preparation including validation, version bumping, documentation verification, and security checks.

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A type-safe, Redis-backed caching library for Remix applications with SSE-based real-time invalidation, stale-while-revalidate, pattern matching, and automatic React revalidation. Use when working with Remix caching, Redis, cache invalidation, implementing caching strategies, or real-time data synchronization in Remix apps.

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This skill should be used when performing maintenance or diagnostics on remote Linux systems. Triggers on "remote server", "Linux maintenance", "Ubuntu cleanup", "Debian", "disk space", "apt cleanup", "journal vacuum", "snap cleanup", "system diagnostics". Provides structured three-phase checklists with quantification.

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Using the RendererInfo class in Blazor to detect rendering context and interactivity.

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信号塔修复 - Stella尝试修复或建造信号发射装置,希望联系地球或发送求救信号

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This skill should be used when the user asks to "generate repository documentation", "create a README", "document API", "write architecture docs", "add CONTRIBUTING guide", "update repo docs", "document codebase", or mentions repository documentation, codebase analysis, or cross-repository integration documentation.

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This skill should be used when the user asks to "generate repository metadata", "create catalog-info.yaml", "add repo metadata", "document repository structure", or mentions generating structured metadata for service catalog or architecture documentation.

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Generate professional markdown and HTML reports from data with charts, tables, and analysis.

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작업 완료 후 상세 리포트 문서를 작성. 변경 이력, 영향도 분석, 검증 결과를 문서화할 때 사용. 파일명 규칙 YYYY-MM-DD-<제목>-report.md

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Requirements gathering and elicitation techniques for business analysis. Use when conducting stakeholder interviews, gathering functional/non-functional requirements, or identifying gaps in requirements.

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Multi-source parallel research with confidence-based synthesis.

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Optimize the research agent for rate limit handling, API call efficiency, web search integration fixes, and improved streaming UX with granular progress updates and source attribution.

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Loop 1 of the Three-Loop Integrated Development System. Research-driven requirements analysis with iterative risk mitigation through 5x pre-mortem cycles using multi-agent consensus. Feeds validated, risk-mitigated plans to parallel-swarm-implementation. Use when starting new features or projects requiring comprehensive planning with <3% failure confidence and evidence-based technology selection.

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Assists authors in researching topics, verifying facts, and ensuring accuracy in their writing. Particularly useful for historical fiction, non-fiction, science fiction, and any genre requiring real-world accuracy. Use when the user needs help with research or fact-checking.

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Processes research branches from Claude Code Web sessions - merges content, moves docs to docs/research/, and creates GitHub issues. Use when /popkit:next detects research branches or when manually processing research from mobile sessions. Do NOT use for regular feature branches - only for branches matching claude/research-* or containing research documentation.

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Research file storage conventions and templates for dokhak agents. Use when: (1) saving research results from research-collector or researcher agents, (2) reading cached research files, (3) checking if research exists for a section. Provides directory structure, file format templates, and naming conventions.

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Automatically activated when user asks "what's the best way to...", "how should I...", "what are best practices for...", or requests recommendations, industry standards, or proven approaches for implementing features

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Research GitHub, GitLab, and Bitbucket repositories using DeepWiki MCP server. Use when exploringunfamiliar codebases, understanding project architecture, or asking questions about how a specificopen-source project works. Provides AI-powered repo analysis and RAG-based Q&A about source code.NOT for fetching library API docs (use fetching-library-docs instead) or local files.

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Assess error handling, isolation boundaries, and recovery mechanisms in agent frameworks. Use when (1) tracing error propagation paths, (2) evaluating sandboxing for code execution, (3) understanding retry and fallback mechanisms, (4) assessing production readiness, or (5) identifying failure modes and recovery patterns.

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Monitor system resources (CPU, memory, disk, network) during development and production.

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Quick reference for RESTful API design patterns, HTTP semantics, caching, and rate limiting. Triggers on: rest api, http methods, status codes, api design, endpoint design, api versioning, rate limiting, caching headers.