ISSUE TEMPLATE
by mahmoud20138 · development · go, skill
Short, descriptive, hyphen-separated name:
Source: https://github.com/mahmoud20138/Tradecraft
Install
git clone https://github.com/mahmoud20138/TradecraftTags: go, skill
⭐ 4 GitHub stars · Source: skillsdirectory
About development MCP servers and Claude skills
development MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.
ISSUE TEMPLATE is one of hundreds of development entries indexed on Skiln. Browse the full development category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.
Related development MCPs and skills
- Agentic Storage by mahmoud20138
Agentic storage architecture — persistent memory for AI agents using MCP, immutable versioning, sandboxing, and intent validation. Covers the stateless problem in LLM agents, RAG limitations (read-only), MCP protocol (JSON-RPC, resources, tools), storage safety layers, and agent file system design. Source: IBM Technology (Martin Keen), March 2026. Use this skill for "agentic storage", "agent memory", "persistent agent state", "MCP storage", "agent file system", "agent hard drive", "stateless ...
- Ai Agent Builder by mahmoud20138
Expert guide for building AI-powered coding agents that produce professional-quality output. Trigger whenever the user asks to build an AI agent, coding assistant, automation pipeline, tool-using LLM system, or says "agent", "agentic", "tool use", "function calling", "LLM pipeline", "AI workflow", "coding bot", or "autonomous AI". Covers agent architecture, tool design, skill loading, prompt engineering, context management, evaluation loops, and multi-step orchestration using the Claude API o...
- Ai Signal Aggregator by mahmoud20138
ML-powered signal aggregation across ALL strategy skills — combines signals from every strategy using weighted voting, random forest meta-learner, and confidence calibration. THE MASTER SIGNAL COMBINER. Use for "combine all signals", "aggregate strategies", "meta strategy", "AI signal", "ensemble signal", "which signal to follow", "best signal now", "combine everything", "master signal", "AI recommendation", or any request to synthesize signals from multiple skills. This is the intelligence l...
- Ai Trading Crew by mahmoud20138
AI Trading Crew — 50-agent AutoGen system for US stock analysis. 8 specialized teams (Technical, Fundamental, Macro, Sentiment, Quant, Risk, Execution, Strategy) reporting to a Head Coach supervisor. Risk team has veto power. Devil's Advocate agent f
- Alternative Data Integrator by mahmoud20138
Alternative data sources for trading signals — Google Trends, web traffic, search volume, shipping/supply chain data, satellite imagery proxies, and economic nowcasting. Use this skill whenever the user asks about "alternative data", "Google Trends trading", "search trends", "web traffic signals", "nowcasting", "satellite data trading", "shipping index", "Baltic Dry", "unusual data sources", "non-traditional indicators", "big data trading signals", or any request to incorporate non-standard d...
- Autohedge Swarm by mahmoud20138
AutoHedge — enterprise-grade autonomous hedge fund using swarm agent architecture. Sequential pipeline: Director → Quant → Risk Manager → Execution agents. Risk-first design: position sizing before any trade execution. Currently supports Solana; Coin
- Backtest Report Generator by mahmoud20138
Generates publication-quality backtest reports with equity curves, Monte Carlo simulations, tearsheets, and comprehensive risk analysis. Use this skill whenever the user asks to "generate a backtest report", "create tearsheet", "equity curve", "Monte Carlo simulation", "strategy report", "performance tearsheet", "backtest results", "drawdown analysis", "strategy statistics", "risk report", "publish backtest", "PDF report", "HTML report", or any request to visualize and document strategy backt...
- Backtesting Sim by mahmoud20138
Backtesting and simulation: vectorized backtesting, paper trading simulation, strategy A/B testing, automated strategy building, natural language to strategy, and trading plan generation. USE FOR: backtest, backtesting, paper trading, simulation, strategy builder, A/B test strategies, natural language strategy, trading plan, equity curve, drawdown analysis, walk-forward, Monte Carlo simulation, performance metrics, Sharpe, Sortino, Calmar, win rate, profit factor, expectancy, strategy validat...
Frequently asked questions
How do I install ISSUE TEMPLATE?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support ISSUE TEMPLATE?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is ISSUE TEMPLATE free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.