Technical Writing

项目知识库管理器 - 将保险业务项目文档(数据分析、PPT报告、技术方案)转化为结构化、可迁移的知识资产。支持:(1)自动生成2类标准化模板(项目启动/技术方案);(2)从Markdown/代码仓库智能提取技术决策和可复用模式;(3)统一文档格式标准;(4)生成可跨项目复用的知识库。触发场景:用户要整理项目文档、创建知识库、生成项目模板、提取技术经验、标准化现有文档时使用。

Use this when running or adding tests (compile/lint/unit/E2E), updating test utilities, or working with Playwright/visual testing in markdowntown.

Search and retrieve information from indexed PDF documentation including IC datasheets, FPGA manuals, and technical specifications. Use this when the user asks about hardware specifications, pin configurations, register details, timing diagrams, or any technical information that might be in datasheets or technical documentation.

Use an AI agent with full access to a certain external repository to research. Useful when writing code involving a library to get code examples and information. Use when the user suggests to research how to do something with a certain library.

Clean Code principles adapted for C#/.NET including naming, variables, functions, SOLID, error handling, and async patterns. Use when: (1) reviewing C# code, (2) refactoring for clarity, (3) writing new code, (4) code review feedback.

Write self-documenting code with minimal, evergreen comments that explain why, not what. Use this skill when deciding whether to add comments or when reviewing existing comments. When writing docstrings, inline comments, or documentation blocks. When avoiding comments that describe recent changes, temporary fixes, or obvious code behavior.

When reviewing coding test solutions. This Skill reviews coding test solutions and provides feedback. it adds an evaluation section to the README.md file in the problem-solving folder, including areas for improvement, strengths, and other application ideas based on the provided template. Use this skill when user requests "코테 리뷰", "풀이 리뷰", "리뷰 작성", "리뷰를 작성해줘", "코드 리뷰", or any similar coding test review request.

Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.

Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.

Query and manage local Vercel AI SDK documentation mirror (271 docs across 24 sections). Search AI SDK UI hooks, streaming, providers, core functions, and React Server Components. Use when implementing AI features or answering AI SDK-related questions.

Use when creating new skills or refactoring existing skills - teaches the progressive disclosure architecture pattern to optimize context window usage by organizing skills into 3 tiers (metadata, entry point, references) and avoiding documentation dumps. Essential before any skill creation or modification work.

Use when designing or architecting Elixir/Phoenix applications, creating comprehensive project documentation, planning OTP supervision trees, defining domain models with Ash Framework, structuring multi-app projects with path-based dependencies, or preparing handoff documentation for Director/Implementor AI collaboration

Write focused, strategic tests for core user flows with behavior-based testing, clear naming, and proper mocking of external dependencies. Use this skill when writing unit tests, integration tests, or end-to-end tests. When working on files in tests/, __tests__/, spec/, or *.test.ts, *.spec.ts files. When deciding what to test during feature development. When naming test cases descriptively. When mocking databases, APIs, or external services. When focusing on testing behavior rather than implementation details.

Oracle DBA and DevOps expertise for Autonomous Database (ADB) on OCI. This skill should be used when managing Oracle Autonomous Databases, writing optimized SQL/PLSQL, configuring security (TDE, Database Vault, Data Safe), implementing HA/DR (Data Guard, PITR), using OCI CLI for database operations, or integrating with Oracle MCP servers for AI-assisted database management. Covers Oracle Database versions 19c, 21c, 23ai, and 26ai.

Comprehensive CSS and UI/UX code review, issue identification, and automated fixing with documentation. Use when reviewing stylesheets, analyzing UI/UX patterns, auditing frontend code quality, fixing CSS issues, or documenting style improvements. Triggers on requests like "review my CSS", "audit UI/UX", "fix styling issues", "improve my styles", or "document CSS fixes".

Enhances vague queries for better retrieval with context-aware improvements. Use during adaptive retry when no relevant documents found, when queries are unclear, or when the user mentions query enhancement or rewriting.

Technical writing frameworks for clear, maintainable documentation

Implement Advent of Code solutions using Test-Driven Development. Generates test cases from puzzle examples, writes failing tests first, implements solutions incrementally, and iterates until all tests pass. Use when solving AoC puzzles, implementing solutions with TDD, or when user mentions test-driven development or writing tests.

Interact with Notion databases and tasks. Auto-detects intent to read, create, update, or delete Notion tasks. Reads API key from NOTION_API_KEY environment variable. Supports full CRUD operations. Trigger phrases include "notion tasks", "show backlog", "create task in notion", "MoneyGraph tasks", "outstanding tasks".

Bundle and share code as gists or markdown. Use to create shareable code bundles, extract imports, and create GitHub gists.