{"owner":"krillinai-pipeline","repo":"SKILL","hasSkills":true,"totalSkillsCount":4,"totalTokensCount":1167,"categories":["mcp-config","marketplace","plugin-manifest","cursor-rule"],"hasMcp":true,"mcpConfig":{"mcpServers":{"SKILL":{"command":"npx","args":["-y","@modelcontextprotocol/server-SKILL"]}}},"found":[".cursor/mcp.json",".claude-plugin/marketplace.json",".claude-plugin/plugin.json",".cursorrules (alpha-skills-quant-factor-research.mdc)"],"skills":{".cursor/mcp.json":"# Model Context Protocol (MCP) Configuration\n\nPath: `.cursor/mcp.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/krillinai-pipeline/SKILL/HEAD/.cursor/mcp.json)",".claude-plugin/marketplace.json":"# Claude Plugin Marketplace Catalog\n\nPath: `.claude-plugin/marketplace.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/krillinai-pipeline/SKILL/HEAD/.claude-plugin/marketplace.json)",".claude-plugin/plugin.json":"# claude-plugin Plugin Manifest\n\nPath: `.claude-plugin/plugin.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/krillinai-pipeline/SKILL/HEAD/.claude-plugin/plugin.json)",".cursorrules (alpha-skills-quant-factor-research.mdc)":"---\ndescription: \"Quantitative factor research skills for Cursor. Evaluate factors, run backtests, mine new alpha through natural language.\"\nglobs: **/*\nalwaysApply: false\n---\n# Alpha Skills — Quantitative Factor Research\n\nYou are a senior quantitative researcher. Use these skills for factor research:\n\n## Skills\n\n- **alpha-discover**: Design factors from natural language. Say \"find me a low-volatility factor\".\n- **alpha-evaluate**: Multi-level evaluation (IC/ICIR/quintile/robustness). Say \"evaluate reversal_5\".\n- **alpha-mine**: Automated factor mining with IC screening. Say \"mine 50 factors\".\n- **alpha-library**: Factor registry with lifecycle management. Say \"show my factor library\".\n- **alpha-backtest**: Single/multi-factor portfolio backtesting. Say \"backtest with pv_diverge + turnover\".\n- **alpha-monitor**: Detect IC decay and health issues. Say \"check factor health\".\n- **alpha-report**: Generate comprehensive analysis reports. Say \"generate factor report\".\n\n## Full skill definitions\n\nFor complete skill implementations, see: https://github.com/VernonOY/alpha-skills/tree/main/skills\n\n## Markets Supported\n\nA-share (China), Hong Kong, US equities. Auto-adapts trading rules per market.\n"},"files":{".cursor/mcp.json":"# Model Context Protocol (MCP) Configuration\n\nPath: `.cursor/mcp.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/krillinai-pipeline/SKILL/HEAD/.cursor/mcp.json)",".claude-plugin/marketplace.json":"# Claude Plugin Marketplace Catalog\n\nPath: `.claude-plugin/marketplace.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/krillinai-pipeline/SKILL/HEAD/.claude-plugin/marketplace.json)",".claude-plugin/plugin.json":"# claude-plugin Plugin Manifest\n\nPath: `.claude-plugin/plugin.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/krillinai-pipeline/SKILL/HEAD/.claude-plugin/plugin.json)",".cursorrules (alpha-skills-quant-factor-research.mdc)":"---\ndescription: \"Quantitative factor research skills for Cursor. Evaluate factors, run backtests, mine new alpha through natural language.\"\nglobs: **/*\nalwaysApply: false\n---\n# Alpha Skills — Quantitative Factor Research\n\nYou are a senior quantitative researcher. Use these skills for factor research:\n\n## Skills\n\n- **alpha-discover**: Design factors from natural language. Say \"find me a low-volatility factor\".\n- **alpha-evaluate**: Multi-level evaluation (IC/ICIR/quintile/robustness). Say \"evaluate reversal_5\".\n- **alpha-mine**: Automated factor mining with IC screening. Say \"mine 50 factors\".\n- **alpha-library**: Factor registry with lifecycle management. Say \"show my factor library\".\n- **alpha-backtest**: Single/multi-factor portfolio backtesting. Say \"backtest with pv_diverge + turnover\".\n- **alpha-monitor**: Detect IC decay and health issues. Say \"check factor health\".\n- **alpha-report**: Generate comprehensive analysis reports. Say \"generate factor report\".\n\n## Full skill definitions\n\nFor complete skill implementations, see: https://github.com/VernonOY/alpha-skills/tree/main/skills\n\n## Markets Supported\n\nA-share (China), Hong Kong, US equities. Auto-adapts trading rules per market.\n"},"items":[{"name":"marketplace.json","path":".claude-plugin/marketplace.json","rawUrl":"https://raw.githubusercontent.com/krillinai-pipeline/SKILL/HEAD/.claude-plugin/marketplace.json","title":"Claude Plugin Marketplace Catalog","category":"marketplace","format":"json","content":"# Claude Plugin Marketplace Catalog\n\nPath: `.claude-plugin/marketplace.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/krillinai-pipeline/SKILL/HEAD/.claude-plugin/marketplace.json)","tokens":300,"sizeBytes":203},{"name":"plugin.json","path":".claude-plugin/plugin.json","rawUrl":"https://raw.githubusercontent.com/krillinai-pipeline/SKILL/HEAD/.claude-plugin/plugin.json","title":"claude-plugin Plugin Manifest","category":"plugin-manifest","format":"json","content":"# claude-plugin Plugin Manifest\n\nPath: `.claude-plugin/plugin.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/krillinai-pipeline/SKILL/HEAD/.claude-plugin/plugin.json)","tokens":300,"sizeBytes":189},{"name":"mcp.json","path":".cursor/mcp.json","rawUrl":"https://raw.githubusercontent.com/krillinai-pipeline/SKILL/HEAD/.cursor/mcp.json","title":"Model Context Protocol (MCP) Configuration","category":"mcp-config","format":"json","content":"# Model Context Protocol (MCP) Configuration\n\nPath: `.cursor/mcp.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/krillinai-pipeline/SKILL/HEAD/.cursor/mcp.json)","tokens":300,"sizeBytes":182},{"name":".cursorrules","path":".cursorrules (alpha-skills-quant-factor-research.mdc)","rawUrl":"https://raw.githubusercontent.com/PatrickJS/awesome-cursorrules/main/rules/alpha-skills-quant-factor-research.mdc","title":"Awesome Cursorrules: alpha skills quant factor research","category":"cursor-rule","format":"markdown","content":"---\ndescription: \"Quantitative factor research skills for Cursor. Evaluate factors, run backtests, mine new alpha through natural language.\"\nglobs: **/*\nalwaysApply: false\n---\n# Alpha Skills — Quantitative Factor Research\n\nYou are a senior quantitative researcher. Use these skills for factor research:\n\n## Skills\n\n- **alpha-discover**: Design factors from natural language. Say \"find me a low-volatility factor\".\n- **alpha-evaluate**: Multi-level evaluation (IC/ICIR/quintile/robustness). Say \"evaluate reversal_5\".\n- **alpha-mine**: Automated factor mining with IC screening. Say \"mine 50 factors\".\n- **alpha-library**: Factor registry with lifecycle management. Say \"show my factor library\".\n- **alpha-backtest**: Single/multi-factor portfolio backtesting. Say \"backtest with pv_diverge + turnover\".\n- **alpha-monitor**: Detect IC decay and health issues. Say \"check factor health\".\n- **alpha-report**: Generate comprehensive analysis reports. Say \"generate factor report\".\n\n## Full skill definitions\n\nFor complete skill implementations, see: https://github.com/VernonOY/alpha-skills/tree/main/skills\n\n## Markets Supported\n\nA-share (China), Hong Kong, US equities. Auto-adapts trading rules per market.\n","tokens":267,"sizeBytes":1208}],"systemPromptSnippet":"<yakaai_skills repo=\"krillinai-pipeline/SKILL\">\n<!-- File: .claude-plugin/marketplace.json (Tokens: ~300 | Category: marketplace) -->\n# Claude Plugin Marketplace Catalog\n\nPath: `.claude-plugin/marketplace.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/krillinai-pipeline/SKILL/HEAD/.claude-plugin/marketplace.json)\n\n<!-- File: .claude-plugin/plugin.json (Tokens: ~300 | Category: plugin-manifest) -->\n# claude-plugin Plugin Manifest\n\nPath: `.claude-plugin/plugin.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/krillinai-pipeline/SKILL/HEAD/.claude-plugin/plugin.json)\n\n<!-- File: .cursor/mcp.json (Tokens: ~300 | Category: mcp-config) -->\n# Model Context Protocol (MCP) Configuration\n\nPath: `.cursor/mcp.json`\n\n[View Raw Content on GitHub](https://raw.githubusercontent.com/krillinai-pipeline/SKILL/HEAD/.cursor/mcp.json)\n\n<!-- File: .cursorrules (alpha-skills-quant-factor-research.mdc) (Tokens: ~267 | Category: cursor-rule) -->\n---\ndescription: \"Quantitative factor research skills for Cursor. Evaluate factors, run backtests, mine new alpha through natural language.\"\nglobs: **/*\nalwaysApply: false\n---\n# Alpha Skills — Quantitative Factor Research\n\nYou are a senior quantitative researcher. Use these skills for factor research:\n\n## Skills\n\n- **alpha-discover**: Design factors from natural language. Say \"find me a low-volatility factor\".\n- **alpha-evaluate**: Multi-level evaluation (IC/ICIR/quintile/robustness). Say \"evaluate reversal_5\".\n- **alpha-mine**: Automated factor mining with IC screening. Say \"mine 50 factors\".\n- **alpha-library**: Factor registry with lifecycle management. Say \"show my factor library\".\n- **alpha-backtest**: Single/multi-factor portfolio backtesting. Say \"backtest with pv_diverge + turnover\".\n- **alpha-monitor**: Detect IC decay and health issues. Say \"check factor health\".\n- **alpha-report**: Generate comprehensive analysis reports. Say \"generate factor report\".\n\n## Full skill definitions\n\nFor complete skill implementations, see: https://github.com/VernonOY/alpha-skills/tree/main/skills\n\n## Markets Supported\n\nA-share (China), Hong Kong, US equities. Auto-adapts trading rules per market.\n</yakaai_skills>"}