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All Skills β€” gaming

58 skills in "gaming" matching "testing"

πŸ¦€ ClawHub
Nautilus Trader
How to use the NautilusTrader algorithmic trading platform for data conversion, strategy development, backtesting, paper trading (sandbox), and live trading....
πŸ¦€ ClawHub
Skill Eval
Skill evaluation framework. Use when: testing trigger rate, quality compare (with/without skill), or model comparison. Runs via sessions_spawn + sessions_his...
πŸ¦€ ClawHub
DNS & Networking
Debug DNS resolution and network connectivity. Use when troubleshooting DNS failures, testing port connectivity, diagnosing firewall rules, inspecting HTTP requests with curl verbose mode, configuring /etc/hosts, or debugging proxy and certificate issues.
πŸ¦€ ClawHub
Strategy Backtest
Quantitative strategy backtestingβ€”implement, run, and tune trading rules on historical data; performance metrics (CAGR, max drawdown, Sharpe, win rate) and s...
πŸ¦€ ClawHub
swift-macos
Comprehensive macOS app development with Swift 6.2, SwiftUI, SwiftData, Swift Concurrency, Foundation Models, Swift Testing, ScreenCaptureKit, and app distri...
πŸ¦€ ClawHub
AKQuant A-Share Backtesting
A-share quantitative trading backtesting using AKQuant (Rust engine) and AKShare data. Use when user asks to "backtest a stock strategy", "test trading algor...
πŸ¦€ ClawHub
AB Test Framework
Compare models with A/B testing for selection
πŸ¦€ ClawHub
Federated Chaos Testing
Simulate faults in federated learning systems by injecting noise, dropout, data poisoning, and delays to evaluate model robustness and fault tolerance.
πŸ¦€ ClawHub
Price Optimization Tool
Optimize product pricing with elasticity analysis, competitor benchmarking, margin modeling, A/B testing, and promotional planning to maximize e-commerce rev...
⭐ GitHub
Software Development Resources for Data Scientists
_Data scientists concentrate on making sense of data through exploratory analysis, statistics, and models. Software developers apply a separate set of knowledge with different tools. Although their focus may seem unrelated, data science teams can benefit from adopting software development best practices. Version control, automated testing, and other dev skills help create reproducible, production-ready code and tools._
πŸ¦€ ClawHub
Testing Workflow
Meta-skill that orchestrates comprehensive testing across a project by coordinating testing-patterns, e2e-testing, and testing agents. Use when setting up testing for a new project, improving coverage for an existing project, establishing a testing strategy, or verifying quality before a release.
πŸ¦€ ClawHub
FOSMVVM UI Tests Generator
Generate UI tests for FOSMVVM SwiftUI views using XCTest and FOSTestingUI. Covers accessibility identifiers, ViewModelOperations, and test data transport.
πŸ¦€ ClawHub
Pydantic Ai Testing
Test PydanticAI agents using TestModel, FunctionModel, VCR cassettes, and inline snapshots. Use when writing unit tests, mocking LLM responses, or recording...
πŸ¦€ ClawHub
Quant Full Stack
Complete A-share quantitative stock trading workflow covering data collection, factor analysis, strategy development, backtesting, simulated trading, and ris...
πŸ¦€ ClawHub
Automation Workflows 0.1.0
Design and implement automation workflows to save time and scale operations as a solopreneur. Use when identifying repetitive tasks to automate, building workflows across tools, setting up triggers and actions, or optimizing existing automations. Covers automation opportunity identification, workflow design, tool selection (Zapier, Make, n8n), testing, and maintenance. Trigger on "automate", "automation", "workflow automation", "save time", "reduce manual work", "automate my business", "no-code
πŸ¦€ ClawHub
Codex Conductor
Methodical end-to-end software delivery orchestrator for Codex CLI with dual project modes (greenfield for new builds, brownfield for existing systems) and dual execution modes (autonomous and gated). Use when users want full lifecycle delivery with strict stage gates, progress tracking, per-step manual/automated testing, continuous docs updates, change-impact management, and a reusable AGENTS.md workflow for any coding agent.
πŸ¦€ ClawHub
Algo Builder
Build and test systematic daily-to-weekly trading algorithms through hypothesis, signal validation, backtesting, and strategy development steps.
πŸ¦€ ClawHub
Model Verifier
Verify model identity by testing 4 dimensions: knowledge cutoff, safety style, multimodal capability, and thinking language patterns. Use when user says 'ver...
πŸ¦€ ClawHub
QA & Testing Engine
Provides a comprehensive testing methodology for AI software, covering strategy design, unit, integration, and end-to-end tests with coverage and reporting g...
πŸ¦€ ClawHub
Forge
Autonomous quality engineering swarm that forges production-ready code through continuous behavioral verification, exhaustive E2E testing, and self-healing fix loops. Combines DDD+ADR+TDD methodology with BDD/Gherkin specifications, 7 quality gates, defect prediction, chaos testing, and cross-context dependency awareness. Architecture-agnostic β€” works with monoliths, microservices, modular monoliths, and any bounded-context topology.
πŸ¦€ ClawHub
Backtest Expert - Strategy Validation
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies...
πŸ¦€ ClawHub
Testing Patterns
Unit, integration, and E2E testing patterns with framework-specific guidance. Use when asked to "write tests", "add test coverage", "testing strategy", "test this function", "create test suite", "fix flaky tests", or "improve test quality".
πŸ¦€ ClawHub
Backtest Expert
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
πŸ¦€ ClawHub
Quantitative Research
World-class systematic trading research - backtesting, alpha generation, factor models, statistical arbitrage. Transform hypotheses into edges. Use when "bac...
πŸ¦€ ClawHub
Jest
Jest best practices, patterns, and API guidance for JavaScript/TypeScript testing. Covers mock design, async testing, matchers, timer mocks, snapshots, modul...
⭐ GitHub
cassowary
Modern cross-platform HTTP load-testing tool written in Go.
πŸ¦€ ClawHub
Pywayne Statistics
Comprehensive statistical testing library with 37+ methods for normality tests, location tests, correlation tests, time series tests, and model diagnostics....
πŸ¦€ ClawHub
Cybersecurity Engine
Complete cybersecurity assessment, threat modeling, and hardening system. Use when conducting security audits, threat modeling, penetration testing, incident...
πŸ¦€ ClawHub
Axe DevTools
Accessibility testing and remediation using the axe MCP Server. Use when creating or modifying UI code (HTML, JSX, TSX, Vue, Svelte, CSS) to ensure accessibility compliance. Triggers on tasks involving web pages, components, forms, navigation, modals, tables, images, or any user-facing markup. Also use when explicitly asked to check accessibility or run an axe scan.
πŸ¦€ ClawHub
Scenario War Room
Cross-functional what-if modeling for cascading multi-variable scenarios. Unlike single-assumption stress testing, this models compound adversity across all...
πŸ¦€ ClawHub
Senior Security
Security engineering toolkit for threat modeling, vulnerability analysis, secure architecture, and penetration testing. Includes STRIDE analysis, OWASP guida...
πŸ¦€ ClawHub
QA Architecture Auditor
Perform forensic-level codebase analysis and generate comprehensive Quality Assurance and Testing Strategy Reports. Acts as Independent Principal QA Architec...
πŸ¦€ ClawHub
Quant Orchestrator (Free)
Multi-Agent AI Quant System with factor mining, strategy generation, and automated backtesting
πŸ¦€ ClawHub
Cypress Agent Skill
Production-grade Cypress E2E and component testing β€” selectors, network stubbing, auth, CI parallelization, flake elimination, Page Object Model, and TypeScr...
πŸ¦€ ClawHub
Quant Trader
Professional quantitative trading system for cryptocurrency - backtesting, paper trading, live trading, and strategy optimization
πŸ¦€ ClawHub
Peer Review
Multi-model peer review layer using local LLMs via Ollama to catch errors in cloud model output. Fan-out critiques to 2-3 local models, aggregate flags, synthesize consensus. Use when: validating trade analyses, reviewing agent output quality, testing local model accuracy, checking any high-stakes Claude output before publishing or acting on it. Don't use when: simple fact-checking (just search the web), tasks that don't benefit from multi-model consensus, time-critical decisions where 60s lat
πŸ¦€ ClawHub
Unity Skill
Control Unity Editor via OpenClaw Unity Plugin. Use for Unity game development tasks including scene management, GameObject/Component manipulation, debugging, input simulation, and Play mode control. Triggers on Unity-related requests like inspecting scenes, creating objects, taking screenshots, testing gameplay, or controlling the Editor.
πŸ¦€ ClawHub
Robonet
Use Robonet's MCP server to build, backtest, optimize, and deploy trading strategies. Provides 24 specialized tools for crypto and prediction market trading: (1) Data tools for browsing strategies, symbols, indicators, Allora topics, and backtest results, (2) AI tools for generating strategy ideas and code, optimizing parameters, and enhancing with ML predictions, (3) Backtesting tools for testing strategy performance on historical data, (4) Prediction market tools for Polymarket trading strateg
πŸ¦€ ClawHub
Prompt Engineering Mastery
Comprehensive system for designing, testing, optimizing, and managing clear, role-aware, actionable, focused, and testable prompts for AI models.
πŸ¦€ ClawHub
Terraform Engineer
Use when implementing infrastructure as code with Terraform across AWS, Azure, or GCP. Invoke for module development, state management, provider configuration, multi-environment workflows, infrastructure testing.
πŸ¦€ ClawHub
Sandwrap
Run untrusted skills safely with soft-sandbox protection. Wraps skills in multi-layer prompt-based defense (~85% attack prevention). Use when: (1) Running third-party skills from unknown sources, (2) Processing untrusted content that might contain prompt injection, (3) Analyzing suspicious files or URLs safely, (4) Testing new skills before trusting them. Supports manual mode ('run X in sandwrap') and auto-wrap for risky skills.
πŸ¦€ ClawHub
QA & Test Engineering Command Center
Comprehensive QA system for planning strategy, writing tests, analyzing coverage, automating pipelines, performance and security testing, defect triage, and...
⭐ GitHub
PramodDutta/qaskills
QA Skills Directory QA Skills is a curated directory of testing-specific skills for AI coding agents (Claude Code, Cursor, Copilot, etc.).
πŸ¦€ ClawHub
Singleshot Prompt Testing
Test and optimize prompts for cost, token use, and performance with detailed reports using single shot queries across multiple providers and models.
πŸ¦€ ClawHub
Automation Workflows
Design and implement automation workflows to save time and scale operations as a solopreneur. Use when identifying repetitive tasks to automate, building workflows across tools, setting up triggers and actions, or optimizing existing automations. Covers automation opportunity identification, workflow design, tool selection (Zapier, Make, n8n), testing, and maintenance. Trigger on "automate", "automation", "workflow automation", "save time", "reduce manual work", "automate my business", "no-code
⭐ GitHub
Game Production
Leading the process of designing, developing, testing and distributing a video game from concept to release.
πŸ¦€ ClawHub
Free Scaling
$0 test-time scaling with online learning. Classify, generate, and verify using free model ensembles. Models self-select via ELO scoring + A/B testing from d...
πŸ¦€ ClawHub
Quant Orchestrator
Multi-Agent AI Quant System with multi-coin prediction, strategy templates, and automated backtesting
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