Administer an Omni Analytics instance — manage connections, users, groups, user attributes, permissions, schedules, and schema refreshes via the REST API. Use this skill whenever someone wants to manage users or groups, set up permissions on a dashboard or folder, configure user attributes, create or modify schedules, manage database connections, refresh a schema, set up access controls, provision users, or any variant of "add a user", "give access to", "set up permissions", "who has access", "configure connection", "refresh the schema", or "schedule a delivery".
Longbridge platform expert for investment analysis AND developer tasks. TRIGGER on ANY of: (1) any stock/market analysis request in any language — price performance, portfolio advice, buy/sell decisions, market sentiment; (2) any stock name or ticker mentioned (with or without market suffix like .US/.HK/.SH); (3) portfolio-related queries — "持仓" / "我的持仓" / positions / holdings / account balance; (4) querying market data via CLI (`longbridge` command); (5) writing Python/Rust with `longbridge` SDK; (6) configuring Longbridge MCP server; (7) integrating Longbridge docs into LLM/RAG. Covers HK, US, CN (SH/SZ), SG, Crypto markets.
- 📁 .github/
- 📁 assets/
- 📁 references/
- 📄 .gitignore
- 📄 claude-android-ninja.png
- 📄 LICENSE.md
Create production-quality Android applications following Google's official Android architecture guidance with Kotlin, Jetpack Compose, MVVM architecture, Hilt dependency injection, Room 3 local persistence (KSP, SQLiteDriver, Flow/suspend DAOs), and multi-module architecture. Triggers on requests to create Android projects, modules, screens, ViewModels, repositories, or when asked about Android architecture patterns and best practices.
Review and resolve unresolved brain merge conflicts.
Use this skill whenever writing tests for Bubble Tea (charmbracelet/bubbletea) TUI applications in Go. Triggers include any mention of testing Bubble Tea models, teatest, golden file testing for TUIs, testing tea.Cmd or tea.Msg, snapshot testing terminal output, or writing tests for any Go CLI/TUI that uses the Elm Architecture (Init/Update/View). Also use when the user asks about testing bubbletea components, bubbles, or lipgloss-styled views, or when they need CI-friendly TUI test patterns. Even if they just say "test my TUI" or "add tests to my Bubble Tea app", use this skill.
- 📁 .swiftpm/
- 📁 Example/
- 📁 fastlane/
- 📄 .DS_Store
- 📄 .gitignore
- 📄 LICENSE
> A comprehensive AI reference for using SwiftMesh — an Alamofire + Codable wrapper with async/await, Combine, fluent configuration, file upload/download, JSON key path parsing, resilient Codable wrappers, and built-in logging.
- 📁 artifacts/
- 📁 core/
- 📁 custom/
- 📄 .env.example
- 📄 .gitignore
- 📄 .patina.default.yaml
AI가 생성한 텍스트에서 AI 특유의 글쓰기 패턴을 제거하여 자연스럽고 사람이 쓴 것처럼 만듭니다. 다국어 지원(한국어 29개, 영어 29개, 중국어 29개, 일본어 29개 패턴). 2-Phase 처리 파이프라인(구조→문장/어휘)과 플러그인 기반 구조로 패턴 팩과 프로필을 조합합니다. 의미 보존 시스템(MPS) 내장. Based on blader/humanizer, oh-my-zsh inspired plugin architecture.
- 📄 LICENSE
- 📄 README.md
- 📄 SKILL.md
AKTIVIERT SICH AUTOMATISCH bei vagen Auftraegen. LIEBER EINMAL ZU OFT NACHFRAGEN als falsch implementieren. Erkennungsmerkmale (EINES genuegt!): - Auftrag <25 Woerter - Keine konkreten Dateinamen/Pfade - Vage Verben: besser, optimieren, fixen, machen, aendern, verbessern, anpassen, erweitern, refactoren, aufraumen, ueberarbeiten - Unsichere Sprache: irgendwie, vielleicht, mal eben, schnell, einfach, bisschen, koennte, sollte - Fehlende Erfolgskriterien: Kein damit, sodass, weil, um zu - Relative Begriffe ohne Kontext: schneller, besser, schoener, einfacher Output ist STRUKTURIERTES JSON fuer prompt-architect Skill.
Operational billing execution for legal matters. Monthly bill prep and billing instructions, LC invoice review and disbursement treatment, client billing query responses, cashflow modelling (LC payment obligations vs client receipts), and leverage and burn analysis (staffing mix, predicted total cost, margin trajectory). Trigger on: 'prepare the bill', 'billing instruction', 'end of month billing', 'LC invoice', 'local counsel invoice', 'pass through as disbursement', 'client querying the invoice', 'billing dispute', 'cashflow gap', 'when will we get paid', 'LC payment due', 'leverage analysis', 'staffing mix', 'predicted total cost', 'burn rate by grade', 'are we on track', 'what will this matter cost'.
- 📁 references/
- 📁 scripts/
- 📄 .clawhubignore
- 📄 SKILL.md
Local A-share analysis with Markdown/JSON reports, optional Feishu notifications, and optional iFinD enhancement.
- 📁 demo/
- 📁 docs/
- 📁 tests/
- 📄 analyze.sh
- 📄 fetch.sh
- 📄 README.md
VOC AI — Amazon Review Intelligence. Input an ASIN, fetch real Amazon reviews via Shulex VOC API and run AI analysis. Outputs a structured bilingual report: sentiment breakdown, top pain points, key selling points, and Listing optimization suggestions. Triggers: voc, amazon review analysis, asin analysis, voice of customer, listing optimization, pain points, selling points, review insights, amazon fba, product research
Generate and analyze AI Bill of Materials (AIBOM) for Python projects using AI/ML components. Identifies AI models, datasets, tools, and frameworks for security and compliance tracking.
