Documentation

Creates test documentation (testing-strategy.md + tests/README.md). Establishes testing philosophy and Story-Level Test Task Pattern. L2 Worker in ln-100-documents-pipeline workflow.

Proje mimarisini analiz eder, teknik borç(technical debt) bulur, refactoring önerileri sunar ve yapısal iyileştirmeleri tasarlar.

This skill should be used when the user asks "refactor code", "improve code quality", "use refactor plugin", "run /refactor", or needs guidance on automated iterative code refactoring with test coverage, architecture review, and clean code improvements.

Defines brand voice persona and tone calibration using persona and positioning data to produce a reusable meta-prompt for copywriting.

Automate test writing for AgentOS project with proper conventions. Applies layer-specific test patterns (Unit/E2E/Electron-E2E) based on code location and generates consistent test code following Given-When-Then structure.

Approach for planning and implementing code changes. Use when starting new features, starting bug fixes, beginning any implementation work, or when unsure how to approach a coding task. Covers learning the codebase first, verifying approaches, and writing simple maintainable code.

Writing guidelines for clear, economical prose. Reference this skill when creating or enhancing note content.

Generates clear commit messages from git diffs. Use when writing commit messages or reviewing staged changes.

Bitcoin trading simulation with technical analysis (EMA/RSI/Bollinger), Monte Carlo projections, and Telegram alerts. Cambodian market focus (USD/KHR 4050).TRIGGERS: BTC backtesting, indicator calculations, Fear & Greed integration, crypto strategy development, CoinGecko/Alternative.me APIs, portfolio simulation, trailing stop optimization, Sharpe/drawdown metrics.ENTRY POINTS: btc_trader.py (365d backtest), btc_simulation.py (60d Monte Carlo), backtest_runner.py (advanced metrics).

Comprehensive PR review using multi-agent swarm with specialized reviewers for security, performance, style, tests, and documentation. Provides detailed feedback with auto-fix suggestions and merge readiness assessment.

This skill use to deploy the Docusaurus site on github pages, deploy site to GitHub Pages using a CI/CD pipeline with the GitHub CLI.

ADR management and decision logging. Use when documenting architectural decisions, tracking technical choices, or creating decision records.

Before making any code changes, read AGENT.md/agent.md and changelog variants (CHANGELOG*.md, HISTORY.md, RELEASES.md). After changes, update both agent + changelog files with a "Raouf:" template entry. If blocked, search latest official developer docs and use all available tools/MCPs.

Apply code hygiene standards for clean, maintainable code. Use when writing, refactoring, or reviewing code.

Personal knowledge base that provides AI agents direct access to books. Use when answering questions that could benefit from book knowledge, when users ask about topics covered in their library, when providing coding/technical guidance that books might inform, or when users explicitly request book references. Proactively check the library when book knowledge might improve response quality.

Use when you need to research, analyze, and plan technical solutions that are scalable, secure, and maintainable.

Guide for implementing Grafana Loki - a horizontally scalable, highly available log aggregation system. Use when configuring Loki deployments, setting up storage backends (S3, Azure Blob, GCS), writing LogQL queries, configuring retention and compaction, deploying via Helm, integrating with OpenTelemetry, or troubleshooting Loki issues on Kubernetes.

Require comprehensive WHY/WHEN/HOW documentation for all functions. Apply when writing functions, classes, or complex logic to explain purpose, usage context, and implementation approach.

Create a new underwriting agent (assets, credit, collateral) following established patterns. Use when implementing new agents, extending the system with new document analysis capabilities, or understanding how agents work.

Activates when creating or improving technical documentation, READMEs, and API docs