Discover Development skills, compare source repositories and read the instructions for each workflow.
Critical guide for implementing live price tracking in NinjaTrader strategies. Use when fixing the Close[0] bug, implementing OnMarketData hooks, adding tick-level price tracking, or debugging trailing stops th...
Multi-AI collaboration protocol using shared file editing. Use when major decisions require diverse AI perspectives (Claude, Grok, Gemini, etc.) to debate and reach consensus. AIs write directly to debate files...
AI collaboration protocols for multi-agent problem solving. Use when bouncing ideas between different AI perspectives, reviewing documents for updates, or simulating expert consultations. Enables structured thi...
NinjaTrader 8 strategy development patterns for high-performance trading. Use when developing or debugging NinjaScript strategies, implementing order management, optimizing execution speed, managing memory effi...
Project management workflow for NinjaTrader strategy development. Use when starting new features/versions, creating branches, updating project documentation, or managing version transitions. Ensures proper back...
Apex Trader Funding account compliance and Rithmic data feed optimization for NinjaTrader 8. Use when implementing daily loss limits, trailing drawdown monitoring, order rate-limiting, Rithmic disconnect detect...
Pre-live deployment checklist for NinjaTrader trading strategies. Use before deploying any code changes to live trading, when reviewing strategy code for critical bugs, or verifying Apex compliance and WSGTA tr...
Automated lessons learned system for NinjaTrader trading. Use when implementing new features, fixing bugs, or reviewing code. Ensures past mistakes are never repeated by making historical lessons mandatory chec...
Run the test suite for the Ralph CLI
Work with Datadog Incidents API - fetch incidents with enrichment, update incident fields, understand incident data structures. Use when working with incidents or the dd get-incident/update-incident commands.
Search Datadog logs via API - query syntax, storage tiers (indexes, flex, online-archives), pagination. Use when searching logs or using the dd search-logs command.
Troubleshoot Datadog API authentication issues (401/403 errors), understand API keys vs app keys, and configure correct regions. Use when hitting auth errors or setting up Datadog API access.
Create a comprehensive inventory of a codebase. Map structure, entry points, services, infrastructure, domain models, and data flows. Pure documentation—no opinions or recommendations. Use when onboarding to an...
Perform a codebase-wide architectural review through a Ports & Adapters (hexagonal architecture) lens. Assess boundary violations, coupling issues, and dependency direction. Produces a prioritized improvement r...
Create Product Requirements Documents (PRDs) that define the end state of a feature. Use when planning new features, migrations, or refactors. Generates structured PRDs with acceptance criteria.
Guide users through creating and configuring a GitHub App for workspace authentication. Use when setting up GitHub App authentication for happy-little-claude-coders, creating github-app-credentials secret, or c...
Creates professional documents following company brand guidelines
OpenAI Codex CLIを使用したコードレビュー、分析、コードベースへの質問を実行する。使用場面: (1) PRセルフレビュー、(2) コードベース全体の分析、(3) 実装に関する質問、(4) バグの調査、(5) リファクタリング提案。トリガ...
実装開始時のコンテキストセットアップ。関連ナレッジを検索し、効率的な実装開始を支援。新規実装タスク開始時に自動トリガーまたは明示的に呼び出し可能。
タスク実装完了後にプルリクエストを作成するスキル。実装→テスト→コミット→プッシュ後に「PR作成」「/pr-create」「プルリクエストを作成して」などで使用。
agent-browserを使用したフロントエンド実装の検証スキル。UI実装後の動作確認、インタラクションテスト、アクセシビリティ確認に使用。「フロントエンドを検証」「UIを確認」「/frontend-verify」「画面の動作確認」などで使...
新しいブランチとworktreeを作成し、開発作業を開始するためのスキル。タスク着手時に「worktreeを作成」「ブランチを作成して作業開始」「/worktree-create 」などで使用。
Lorepedia Notionワークスペースからプロジェクト情報を取得するスキル。コーディング中に技術仕様、機能要件、DB設計、アーキテクチャなどの情報が必要な場合に自動的にトリガーされる。「Notionを確認」「仕様を確認」「要件...
バグ修正・エラー解消・技術的知見を自動記録するスキル。デバッグで発見したインサイト、実装上のハマりポイント、設定の回避策などをExocortexに保存し、将来の同様の問題解決を効率化する。プロジェクト固有でなくても、汎...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.