Loading...
Loading...
Found 3,398 Skills
You are updating this project's CLAUDE.md to reflect **meta learnings** (conventions, philosophy, gotchas) and **significant recent changes** to the codebase.
Combining IoT sensor data using algorithms like Kalman filters for improved accuracy and reliability
Unit: Jest/Vitest, pytest, Go test/testify, RSpec, XCTest, JUnit5. Mocking, stubs, isolation
Imagine the project already failed, then work backward to find why. More powerful than risk assessment because it assumes failure is certain. Use when user says "pre-mortem", "premortem", "imagine this failed", "what could go wrong", "risk analysis", "before we launch", "stress test", "what would kill this", "project risks".
VeChain development playbook. VeChain Kit for React dApps, SDK for backends, Solidity+Hardhat for contracts, Thor Solo for testing. Covers fee delegation, multi-clause, social login, VeBetterDAO, StarGate, governance.
Generate images using Google's Gemini API. Use when creating images from text prompts, editing existing images, or combining reference images for AI-generated visual content.
Comprehensive Python programming guidelines based on Google's Python Style Guide. Use when you 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.
Full-process engineered novel creation assistant. A professional, rigorous, and implementable novel creation management and content generation system that helps users complete high-quality, logically rigorous, character-consistent, plot-closed-loop novel creation from scratch. This skill is activated when users request to write novels, create stories, conceive plots, shape characters, or draft chapters.
IMO Gold Medal level Lean4 theorem proving via Harmonic API
Universal AI-powered web scraper for any platform. Scrape data from Instagram, Facebook, TikTok, YouTube, Google Maps, Google Search, Google Trends, Booking.com, and TripAdvisor. Use for lead gener...
Apache Pekko + Scala 3によるCQRS/Event Sourcing実装ガイド。 PersistenceEffectorを用いた集約アクター、ドメインモデルとアクターの分離、 状態遷移の型安全な表現、イベント設計、Protocol Buffersシリアライズ、 ZIOベースのユースケース層、リードモデルアップデータの実装パターンを提供する。 対象言語: Scala 3限定。CQRS/Event Sourcingアーキテクチャが前提の場合のみ使用。 トリガー条件: 「Scala」かつ「CQRS」または「Event Sourcing」または「Pekko」が リクエストに含まれる場合のみ起動。Scala以外の言語やCQRS/ES以外のアーキテクチャでは このスキルを使用してはならない。 トリガー：「PekkoでCQRS/ESを実装したい」「Scalaで集約アクターを書きたい」 「PersistenceEffectorの使い方」「Pekkoのイベントソーシング」 「ScalaでCQRSのコマンド側を実装」「Pekkoで状態遷移を管理」 といったPekko + Scala + CQRS/ES実装リクエストで起動。 非トリガー：「CQRSのトレードオフ」「イベントソーシングとは」「JavaでCQRS」 「GoでEvent Sourcing」「CQRSの概念を教えて」など、Scala/Pekko以外や概念的な質問では 起動してはならない。
Expert at evaluating software projects for production readiness. Assesses codebases holistically to determine what's shippable, what's blocking launch, and how to get from current state to "good enough to charge money for."