Technical Writing

Incident response patterns and runbooks. Use when handling production incidents, creating runbooks, performing root cause analysis, writing postmortems, or designing on-call procedures.

Use when working with database models or migrations. Contains schema documentation and relationship patterns.

Interactive prompt builder for creating high-quality deep research prompts through adaptive interviewing. Use when users need to transform a basic research topic into a comprehensive, well-structured research prompt optimized for deep analysis. Helps build research prompts from vague ideas, enhance existing questions with best practices, and create structured prompts for any domain including product comparisons, technical documentation, academic literature, and market analysis.

Use this skill when you need to write configuration files in `src/config` for the Next.js app

Product Owner assistance for ticket refinement, epic breakdown, dependency analysis, and backlog management across multiple project management systems. Use this skill when working with tickets to create, analyze, propose amendments, or generate discussion questions. Supports Linear, Local Markdown, Jira, GitHub Issues, and other PM systems through extensible connectors.

Publish Claude Code Skills to GitHub with proper structure, privacy checks, and bilingual documentation. Use when user wants to "publish a skill", "share a skill", "release a skill to GitHub", or asks about skill distribution.

Search GitHub for real-world code examples and implementation patterns. Use when user wants to find code examples on GitHub, search GitHub repositories, discover how others implement features, learn library usage patterns, or research architectural approaches. Fetches top results with smart ranking (stars, recency, language), extracts factual data (imports, syntax patterns, metrics), and returns clean markdown for analysis and pattern identification.

Craft LinkedIn posts (text, carousels, documents, video) optimized for the December 2025algorithm. Use when creating individual LinkedIn posts, writing hooks, designing carouselcontent, or adapting newsletter content for LinkedIn. Includes algorithm signals, formatselection, external link workarounds, and templates for thought leadership content.

Detects and removes AI writing patterns from text. Use when polishing drafts, cleaning AI-generated content, or ensuring writing sounds authentically human. Invoke with "run through slop detector", "clean this up", or "remove AI fingerprints".

Data science and machine learning platform functions for the East language (TypeScript types). Use when writing East programs that need optimization (MADS, Optuna, SimAnneal, Scipy), machine learning (XGBoost, LightGBM, NGBoost, Torch MLP, GP), ML utilities (Sklearn preprocessing, metrics, splits), or model explainability (SHAP). Triggers for: (1) Writing East programs with @elaraai/east-py-datascience, (2) Derivative-free optimization with MADS, (3) Bayesian optimization with Optuna, (4) Discrete/combinatorial optimization with SimAnneal, (5) Gradient boosting with XGBoost or LightGBM, (6) Probabilistic predictions with NGBoost or GP, (7) Neural networks with Torch MLP, (8) Data preprocessing and metrics with Sklearn, (9) Model explainability with Shap.

Expert technical reviewer for implementation plans. Reviews plans in docs/plans/ for correctness, completeness, and technical accuracy. Validates libraries, APIs, and approaches. Outputs feedback as markdown in the final response.

Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.

East programming language - a statically typed, expression-based language embedded in TypeScript. Use when writing East programs with @elaraai/east. Triggers for: (1) Writing East functions with East.function() or East.asyncFunction(), (2) Defining types (IntegerType, StringType, ArrayType, StructType, VariantType, etc.), (3) Using platform functions with East.platform() or East.asyncPlatform(), (4) Compiling East programs with East.compile(), (5) Working with East expressions (arithmetic, collections, control flow), (6) Serializing East IR with .toIR() and EastIR.fromJSON(), (7) Standard library operations (formatting, rounding, generation).

Execute Atlassian operations for both Jira and Confluence, including issue management, page retrieval, search, creation, and updates. Use when the user needs to interact with Jira issues, Confluence pages, or any Atlassian-related tasks.

Fabric Documentation

Shared resource library for Notion integration skills. DO NOT load directly - this provides common references (setup, API docs, error handling, database schema) and scripts used by notion-connect, query-notion-db, import-skill-to-nexus, and export-skill-to-notion.

docs/tasks.mdに記載されたタスクを実行し、実装を行います。タスクごとにステータス更新とコミットを作成し、実装完了後は逆順レビュー（実装→タスク→設計→要件）で整合性を確認します。SDDワークフローの実装フェーズで使用してください。

Follow project structure standards, environment variable management, Content Collections setup, version control practices, and build/deployment conventions. Use this skill when setting up project structure, managing configuration files, organizing dependencies, or establishing development workflows. When working on project directory structure and organization, environment variable files (.env, .env.local, .env.production), Content Collections configuration (src/content/config.ts), package.json and dependency management, git commit messages and branching strategy, configuration files (astro.config.mjs, tsconfig.json), build and deployment setups, or documentation files (README.md, ADRs).

Generates clear, Angular-style commit messages from git diffs. Use when writing commit messages or reviewing staged changes.

Automated project documentation updater that synchronizes and maintains current documentation across the project