[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71S6ZFSR3RT6G3V5BPCB19K":3,"skill-same:01M71S6ZFSR3RT6G3V5BPCB19K":62},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":42,"commitSha":43,"skillDirectory":44,"forksCount":13,"repositoryHtmlUrl":45,"repositoryHomepageUrl":6,"ownerHtmlUrl":46,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":47,"install":48,"resources":61},"01M71S6ZFSR3RT6G3V5BPCB19K","error-debugging-multi-agent-review",null,"Use when working with error debugging multi agent review","javiertarazon\u002Fide-agente-free-jt7-","javiertarazon","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F153141207?v=4","01M71R52TB3S9HXKH6WSNT8A7V","01M71R52VG5KS2DKDDH4GDQ30A",0,"MIT","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Ferror-debugging-multi-agent-review\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36],"review","multi agent","debugging","multi agent review","error debugging","error debugging multi agent review","agent review","error","multi","use","community","with","unknown","when","2026-11-10 13:02:02",false,"---\nname: error-debugging-multi-agent-review\ndescription: \"Use when working with error debugging multi agent review\"\nrisk: unknown\nsource: community\n---\n\n# Multi-Agent Code Review Orchestration Tool\n\n## Use this skill when\n\n- Working on multi-agent code review orchestration tool tasks or workflows\n- Needing guidance, best practices, or checklists for multi-agent code review orchestration tool\n\n## Do not use this skill when\n\n- The task is unrelated to multi-agent code review orchestration tool\n- You need a different domain or tool outside this scope\n\n## Instructions\n\n- Clarify goals, constraints, and required inputs.\n- Apply relevant best practices and validate outcomes.\n- Provide actionable steps and verification.\n- If detailed examples are required, open `resources\u002Fimplementation-playbook.md`.\n\n## Role: Expert Multi-Agent Review Orchestration Specialist\n\nA sophisticated AI-powered code review system designed to provide comprehensive, multi-perspective analysis of software artifacts through intelligent agent coordination and specialized domain expertise.\n\n## Context and Purpose\n\nThe Multi-Agent Review Tool leverages a distributed, specialized agent network to perform holistic code assessments that transcend traditional single-perspective review approaches. By coordinating agents with distinct expertise, we generate a comprehensive evaluation that captures nuanced insights across multiple critical dimensions:\n\n- **Depth**: Specialized agents dive deep into specific domains\n- **Breadth**: Parallel processing enables comprehensive coverage\n- **Intelligence**: Context-aware routing and intelligent synthesis\n- **Adaptability**: Dynamic agent selection based on code characteristics\n\n## Tool Arguments and Configuration\n\n### Input Parameters\n- `$ARGUMENTS`: Target code\u002Fproject for review\n  - Supports: File paths, Git repositories, code snippets\n  - Handles multiple input formats\n  - Enables context extraction and agent routing\n\n### Agent Types\n1. Code Quality Reviewers\n2. Security Auditors\n3. Architecture Specialists\n4. Performance Analysts\n5. Compliance Validators\n6. Best Practices Experts\n\n## Multi-Agent Coordination Strategy\n\n### 1. Agent Selection and Routing Logic\n- **Dynamic Agent Matching**:\n  - Analyze input characteristics\n  - Select most appropriate agent types\n  - Configure specialized sub-agents dynamically\n- **Expertise Routing**:\n  ```python\n  def route_agents(code_context):\n      agents = []\n      if is_web_application(code_context):\n          agents.extend([\n              \"security-auditor\",\n              \"web-architecture-reviewer\"\n          ])\n      if is_performance_critical(code_context):\n          agents.append(\"performance-analyst\")\n      return agents\n  ```\n\n### 2. Context Management and State Passing\n- **Contextual Intelligence**:\n  - Maintain shared context across agent interactions\n  - Pass refined insights between agents\n  - Support incremental review refinement\n- **Context Propagation Model**:\n  ```python\n  class ReviewContext:\n      def __init__(self, target, metadata):\n          self.target = target\n          self.metadata = metadata\n          self.agent_insights = {}\n\n      def update_insights(self, agent_type, insights):\n          self.agent_insights[agent_type] = insights\n  ```\n\n### 3. Parallel vs Sequential Execution\n- **Hybrid Execution Strategy**:\n  - Parallel execution for independent reviews\n  - Sequential processing for dependent insights\n  - Intelligent timeout and fallback mechanisms\n- **Execution Flow**:\n  ```python\n  def execute_review(review_context):\n      # Parallel independent agents\n      parallel_agents = [\n          \"code-quality-reviewer\",\n          \"security-auditor\"\n      ]\n\n      # Sequential dependent agents\n      sequential_agents = [\n          \"architecture-reviewer\",\n          \"performance-optimizer\"\n      ]\n  ```\n\n### 4. Result Aggregation and Synthesis\n- **Intelligent Consolidation**:\n  - Merge insights from multiple agents\n  - Resolve conflicting recommendations\n  - Generate unified, prioritized report\n- **Synthesis Algorithm**:\n  ```python\n  def synthesize_review_insights(agent_results):\n      consolidated_report = {\n          \"critical_issues\": [],\n          \"important_issues\": [],\n          \"improvement_suggestions\": []\n      }\n      # Intelligent merging logic\n      return consolidated_report\n  ```\n\n### 5. Conflict Resolution Mechanism\n- **Smart Conflict Handling**:\n  - Detect contradictory agent recommendations\n  - Apply weighted scoring\n  - Escalate complex conflicts\n- **Resolution Strategy**:\n  ```python\n  def resolve_conflicts(agent_insights):\n      conflict_resolver = ConflictResolutionEngine()\n      return conflict_resolver.process(agent_insights)\n  ```\n\n### 6. Performance Optimization\n- **Efficiency Techniques**:\n  - Minimal redundant processing\n  - Cached intermediate results\n  - Adaptive agent resource allocation\n- **Optimization Approach**:\n  ```python\n  def optimize_review_process(review_context):\n      return ReviewOptimizer.allocate_resources(review_context)\n  ```\n\n### 7. Quality Validation Framework\n- **Comprehensive Validation**:\n  - Cross-agent result verification\n  - Statistical confidence scoring\n  - Continuous learning and improvement\n- **Validation Process**:\n  ```python\n  def validate_review_quality(review_results):\n      quality_score = QualityScoreCalculator.compute(review_results)\n      return quality_score > QUALITY_THRESHOLD\n  ```\n\n## Example Implementations\n\n### 1. Parallel Code Review Scenario\n```python\nmulti_agent_review(\n    target=\"\u002Fpath\u002Fto\u002Fproject\",\n    agents=[\n        {\"type\": \"security-auditor\", \"weight\": 0.3},\n        {\"type\": \"architecture-reviewer\", \"weight\": 0.3},\n        {\"type\": \"performance-analyst\", \"weight\": 0.2}\n    ]\n)\n```\n\n### 2. Sequential Workflow\n```python\nsequential_review_workflow = [\n    {\"phase\": \"design-review\", \"agent\": \"architect-reviewer\"},\n    {\"phase\": \"implementation-review\", \"agent\": \"code-quality-reviewer\"},\n    {\"phase\": \"testing-review\", \"agent\": \"test-coverage-analyst\"},\n    {\"phase\": \"deployment-readiness\", \"agent\": \"devops-validator\"}\n]\n```\n\n### 3. Hybrid Orchestration\n```python\nhybrid_review_strategy = {\n    \"parallel_agents\": [\"security\", \"performance\"],\n    \"sequential_agents\": [\"architecture\", \"compliance\"]\n}\n```\n\n## Reference Implementations\n\n1. **Web Application Security Review**\n2. **Microservices Architecture Validation**\n\n## Best Practices and Considerations\n\n- Maintain agent independence\n- Implement robust error handling\n- Use probabilistic routing\n- Support incremental reviews\n- Ensure privacy and security\n\n## Extensibility\n\nThe tool is designed with a plugin-based architecture, allowing easy addition of new agent types and review strategies.\n\n## Invocation\n\nTarget for review: $ARGUMENTS\n","# Multi-Agent Code Review Orchestration Tool\n\n## Use this skill when\n\n- Working on multi-agent code review orchestration tool tasks or workflows\n- Needing guidance, best practices, or checklists for multi-agent code review orchestration tool\n\n## Do not use this skill when\n\n- The task is unrelated to multi-agent code review orchestration tool\n- You need a different domain or tool outside this scope\n\n## Instructions\n\n- Clarify goals, constraints, and required inputs.\n- Apply relevant best practices and validate outcomes.\n- Provide actionable steps and verification.\n- If detailed examples are required, open `resources\u002Fimplementation-playbook.md`.\n\n## Role: Expert Multi-Agent Review Orchestration Specialist\n\nA sophisticated AI-powered code review system designed to provide comprehensive, multi-perspective analysis of software artifacts through intelligent agent coordination and specialized domain expertise.\n\n## Context and Purpose\n\nThe Multi-Agent Review Tool leverages a distributed, specialized agent network to perform holistic code assessments that transcend traditional single-perspective review approaches. By coordinating agents with distinct expertise, we generate a comprehensive evaluation that captures nuanced insights across multiple critical dimensions:\n\n- **Depth**: Specialized agents dive deep into specific domains\n- **Breadth**: Parallel processing enables comprehensive coverage\n- **Intelligence**: Context-aware routing and intelligent synthesis\n- **Adaptability**: Dynamic agent selection based on code characteristics\n\n## Tool Arguments and Configuration\n\n### Input Parameters\n- `$ARGUMENTS`: Target code\u002Fproject for review\n  - Supports: File paths, Git repositories, code snippets\n  - Handles multiple input formats\n  - Enables context extraction and agent routing\n\n### Agent Types\n1. Code Quality Reviewers\n2. Security Auditors\n3. Architecture Specialists\n4. Performance Analysts\n5. Compliance Validators\n6. Best Practices Experts\n\n## Multi-Agent Coordination Strategy\n\n### 1. Agent Selection and Routing Logic\n- **Dynamic Agent Matching**:\n  - Analyze input characteristics\n  - Select most appropriate agent types\n  - Configure specialized sub-agents dynamically\n- **Expertise Routing**:\n  ```python\n  def route_agents(code_context):\n      agents = []\n      if is_web_application(code_context):\n          agents.extend([\n              \"security-auditor\",\n              \"web-architecture-reviewer\"\n          ])\n      if is_performance_critical(code_context):\n          agents.append(\"performance-analyst\")\n      return agents\n  ```\n\n### 2. Context Management and State Passing\n- **Contextual Intelligence**:\n  - Maintain shared context across agent interactions\n  - Pass refined insights between agents\n  - Support incremental review refinement\n- **Context Propagation Model**:\n  ```python\n  class ReviewContext:\n      def __init__(self, target, metadata):\n          self.target = target\n          self.metadata = metadata\n          self.agent_insights = {}\n\n      def update_insights(self, agent_type, insights):\n          self.agent_insights[agent_type] = insights\n  ```\n\n### 3. Parallel vs Sequential Execution\n- **Hybrid Execution Strategy**:\n  - Parallel execution for independent reviews\n  - Sequential processing for dependent insights\n  - Intelligent timeout and fallback mechanisms\n- **Execution Flow**:\n  ```python\n  def execute_review(review_context):\n      # Parallel independent agents\n      parallel_agents = [\n          \"code-quality-reviewer\",\n          \"security-auditor\"\n      ]\n\n      # Sequential dependent agents\n      sequential_agents = [\n          \"architecture-reviewer\",\n          \"performance-optimizer\"\n      ]\n  ```\n\n### 4. Result Aggregation and Synthesis\n- **Intelligent Consolidation**:\n  - Merge insights from multiple agents\n  - Resolve conflicting recommendations\n  - Generate unified, prioritized report\n- **Synthesis Algorithm**:\n  ```python\n  def synthesize_review_insights(agent_results):\n      consolidated_report = {\n          \"critical_issues\": [],\n          \"important_issues\": [],\n          \"improvement_suggestions\": []\n      }\n      # Intelligent merging logic\n      return consolidated_report\n  ```\n\n### 5. Conflict Resolution Mechanism\n- **Smart Conflict Handling**:\n  - Detect contradictory agent recommendations\n  - Apply weighted scoring\n  - Escalate complex conflicts\n- **Resolution Strategy**:\n  ```python\n  def resolve_conflicts(agent_insights):\n      conflict_resolver = ConflictResolutionEngine()\n      return conflict_resolver.process(agent_insights)\n  ```\n\n### 6. Performance Optimization\n- **Efficiency Techniques**:\n  - Minimal redundant processing\n  - Cached intermediate results\n  - Adaptive agent resource allocation\n- **Optimization Approach**:\n  ```python\n  def optimize_review_process(review_context):\n      return ReviewOptimizer.allocate_resources(review_context)\n  ```\n\n### 7. Quality Validation Framework\n- **Comprehensive Validation**:\n  - Cross-agent result verification\n  - Statistical confidence scoring\n  - Continuous learning and improvement\n- **Validation Process**:\n  ```python\n  def validate_review_quality(review_results):\n      quality_score = QualityScoreCalculator.compute(review_results)\n      return quality_score > QUALITY_THRESHOLD\n  ```\n\n## Example Implementations\n\n### 1. Parallel Code Review Scenario\n```python\nmulti_agent_review(\n    target=\"\u002Fpath\u002Fto\u002Fproject\",\n    agents=[\n        {\"type\": \"security-auditor\", \"weight\": 0.3},\n        {\"type\": \"architecture-reviewer\", \"weight\": 0.3},\n        {\"type\": \"performance-analyst\", \"weight\": 0.2}\n    ]\n)\n```\n\n### 2. Sequential Workflow\n```python\nsequential_review_workflow = [\n    {\"phase\": \"design-review\", \"agent\": \"architect-reviewer\"},\n    {\"phase\": \"implementation-review\", \"agent\": \"code-quality-reviewer\"},\n    {\"phase\": \"testing-review\", \"agent\": \"test-coverage-analyst\"},\n    {\"phase\": \"deployment-readiness\", \"agent\": \"devops-validator\"}\n]\n```\n\n### 3. Hybrid Orchestration\n```python\nhybrid_review_strategy = {\n    \"parallel_agents\": [\"security\", \"performance\"],\n    \"sequential_agents\": [\"architecture\", \"compliance\"]\n}\n```\n\n## Reference Implementations\n\n1. **Web Application Security Review**\n2. **Microservices Architecture Validation**\n\n## Best Practices and Considerations\n\n- Maintain agent independence\n- Implement robust error handling\n- Use probabilistic routing\n- Support incremental reviews\n- Ensure privacy and security\n\n## Extensibility\n\nThe tool is designed with a plugin-based architecture, allowing easy addition of new agent types and review strategies.\n\n## Invocation\n\nTarget for review: $ARGUMENTS\n",{"name":5,"risk":35,"source":33,"description":7},"release\u002Fv4.2.11-panel-pro","a92ea02bcf7e2b3dbaf46d49696c29a3cb490d4f",".github\u002Fskills\u002Ferror-debugging-multi-agent-review","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-","https:\u002F\u002Fgithub.com\u002Fjaviertarazon","2026-07-12 07:10:45",{"source":8,"skillName":5,"commands":49,"prompt":59,"zipAvailable":60},[50,53,56],{"tool":51,"command":52},"npx","npx skills add javiertarazon\u002Fide-agente-free-jt7- --skill error-debugging-multi-agent-review",{"tool":54,"command":55},"bunx","bunx skills add javiertarazon\u002Fide-agente-free-jt7- --skill error-debugging-multi-agent-review",{"tool":57,"command":58},"pnpm","pnpm dlx skills add javiertarazon\u002Fide-agente-free-jt7- --skill error-debugging-multi-agent-review","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Ferror-debugging-multi-agent-review\u002FSKILL.md",true,[],[63,88,113,133,148,170],{"skillNo":64,"name":65,"nameZh":6,"description":66,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":67,"categories":68,"keywords":72,"publishedAt":37},"01M71TQ7Q6Z10VWF3C2H5X1KW9","zustand-store-ts","Create Zustand stores with TypeScript, subscribeWithSelector middleware, and proper state\u002Faction separation. Use when building React state management, creating global stores, or implementing reacti...","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fzustand-store-ts\u002FSKILL.md",[69],{"categoryNo":70,"categoryName":71,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000009","前端开发",[73,74,75,33,76,77,32,78,36,35,79,34,80,81,82,83,84,85,86,87],"zustand","store","zustand store ts","middleware","implementing","react state management","react","state","create","state management","typescript","action","management","separation","global",{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":95,"publishedAt":37},"01M71TQ5EAR40G6W0MV5ZDVEZT","zoom-automation","Automate Zoom meeting creation, management, recordings, webinars, and participant tracking via Rube MCP (Composio). Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fzoom-automation\u002FSKILL.md",[94],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[96,97,98,33,99,100,101,102,103,35,104,105,106,107,108,109,110,111,85,112],"zoom automation","zoom","automation","creation","for","search","schemas","MCP","first","via","meeting","search tools","tracking","webinars","composio","recordings","Tools",{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":120,"publishedAt":37},"01M71TQ29B1EYBCEAP1ZBGXQ1A","zoho-crm-automation","Automate Zoho CRM tasks via Rube MCP (Composio): create\u002Fupdate records, search contacts, manage leads, and convert leads. Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fzoho-crm-automation\u002FSKILL.md",[119],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[121,122,98,123,124,125,33,126,127,100,128,101,102,129,103,35,130,131,132,81],"crm automation","zoho crm automation","crm","zoho crm","zoho","leads","manage leads","manage","records","convert","tasks","contacts",{"skillNo":134,"name":135,"nameZh":6,"description":136,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":137,"categories":138,"keywords":140,"publishedAt":37},"01M71TPZPMN60DH0XV58KVHY23","zendesk-automation","Automate Zendesk tasks via Rube MCP (Composio): tickets, users, organizations, replies. Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fzendesk-automation\u002FSKILL.md",[139],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[141,98,142,33,100,101,102,103,143,35,131,144,145,104,105,146,107,110,112,147],"zendesk automation","zendesk","organizations","replies","users","tickets","automate",{"skillNo":149,"name":150,"nameZh":6,"description":151,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":152,"categories":153,"keywords":154,"publishedAt":37},"01M71TPXDWKHKG4N6TVEPXWD0N","zapier-make-patterns","No-code automation democratizes workflow building. Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity ...","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fzapier-make-patterns\u002FSKILL.md",[],[155,156,157,158,159,160,161,162,163,98,164,35,165,166,167,168,169,147],"zapier make patterns","zapier","patterns","make","No-Code","complexity","writing","spawner","business","workflow","code","integromat","apache","processes","but",{"skillNo":171,"name":172,"nameZh":6,"description":173,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":174,"categories":175,"keywords":179,"publishedAt":37},"01M71TPT5T10WXNKW9G7ZXZ27W","youtube-summarizer","Extract transcripts from YouTube videos and generate comprehensive, detailed summaries using intelligent analysis frameworks","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fyoutube-summarizer\u002FSKILL.md",[176],{"categoryNo":177,"categoryName":178,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体",[180,181,182,183,33,184,185,186,187,188,189,190,165,191,192,193,194,195,196,197],"summarizer","youtube","youtube summarizer","Video","content-analysis","frameworks","copilot","2025","github-copilot","extract transcripts","analysis","codex","cli","summaries","github","generate","summarization","2026"]