[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CT03WG3XE35WNRYM9Y0445":3,"skill-same:01M6CT03WG3XE35WNRYM9Y0445":61},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":32,"linkOnly":33,"markdownContent":34,"markdownBody":35,"frontMatter":36,"refName":39,"commitSha":40,"skillDirectory":41,"forksCount":42,"repositoryHtmlUrl":43,"repositoryHomepageUrl":43,"ownerHtmlUrl":44,"ownerBlogUrl":6,"ownerDescription":45,"updatedAt":46,"install":47,"resources":60},"01M6CT03WG3XE35WNRYM9Y0445","error-debugging-multi-agent-review",null,"Use when working with error debugging multi agent review","Sam-06060\u002Fjarvis-assistant","Sam-06060","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F208600848?v=4","01M6CRKT7C7FXD21V6HXF293S0","Samson Frank Ganta","01M6CRKTBEKYFD8YX5Z1GT99EE",6,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Ferror-debugging-multi-agent-review\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31],"review","multi agent","debugging","multi agent review","error debugging","error debugging multi agent review","use","community","2026-11-10 10:12:30",false,"---\nname: error-debugging-multi-agent-review\ndescription: \"Use when working with error debugging multi agent review\"\nrisk: unknown\nsource: community\ndate_added: \"2026-02-27\"\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":37,"source":31,"date_added":38,"description":7},"unknown","2026-02-27","main","a50a3aa6b39fb0e1b7db88bef1bfc9c93606e126","modules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Ferror-debugging-multi-agent-review",0,"https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant","https:\u002F\u002Fgithub.com\u002FSam-06060","Mobile Application Developer | Kotlin | Flutter, KMP, Swfit, Android,Swift UI | Building at Saar It Resources | Creator of Jarvis (AI Assistant)","2026-06-23 05:13:38",{"source":8,"skillName":5,"commands":48,"prompt":58,"zipAvailable":59},[49,52,55],{"tool":50,"command":51},"npx","npx skills add Sam-06060\u002Fjarvis-assistant --skill error-debugging-multi-agent-review",{"tool":53,"command":54},"bunx","bunx skills add Sam-06060\u002Fjarvis-assistant --skill error-debugging-multi-agent-review",{"tool":56,"command":57},"pnpm","pnpm dlx skills add Sam-06060\u002Fjarvis-assistant --skill error-debugging-multi-agent-review","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Ferror-debugging-multi-agent-review\u002FSKILL.md",true,[],[62,73,89,114,133,160],{"skillNo":63,"name":64,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":65,"categories":66,"keywords":70,"publishedAt":32},"01M6GDRVS6FXX3ESH0C9DW01C0","test_skill","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fscratch\u002Ftest_skill\u002FSKILL.md",[67],{"categoryNo":68,"categoryName":69,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[71,72],"Test Skill","test",{"skillNo":74,"name":75,"nameZh":6,"description":76,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":77,"categories":78,"keywords":79,"publishedAt":32},"01M6GDRQ40HX22MA6XWC31RHHK","zustand-store-ts","Create Zustand stores following established patterns with proper TypeScript types and middleware.","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fzustand-store-ts\u002FSKILL.md",[],[80,81,82,83,84,85,86,31,87,88],"zustand store ts","zustand","store","with","types","middleware","patterns","create","typescript",{"skillNo":90,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":93,"categories":94,"keywords":96,"publishedAt":32},"01M6GDRKEA0WE670SPFWX5GKCN","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\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fzoom-automation\u002FSKILL.md",[95],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[97,98,99,100,101,102,103,104,105,106,107,108,109,110,31,111,112,113],"automation","zoom automation","zoom","first","Tools","search","MCP","via","meeting","automate","critical","creation","webinars","composio","recordings","management","tracking",{"skillNo":115,"name":116,"nameZh":6,"description":117,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":118,"categories":119,"keywords":121,"publishedAt":32},"01M6GDRFS1452PC71JQ38S24HR","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\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fzoho-crm-automation\u002FSKILL.md",[120],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[122,97,123,124,125,126,127,31,102,128,110,129,107,106,101,130,87,131,103,132],"crm automation","zoho crm","crm","zoho crm automation","zoho","leads","contacts","records","update","tasks","manage",{"skillNo":134,"name":135,"nameZh":6,"description":136,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":137,"categories":138,"keywords":142,"publishedAt":32},"01M6GDRCKQBAVTGHX5XBH26KPZ","zod-validation-expert","Expert in Zod — TypeScript-first schema validation. Covers parsing, custom errors, refinements, type inference, and integration with React Hook Form, Next.js, and tRPC.","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fzod-validation-expert\u002FSKILL.md",[139],{"categoryNo":140,"categoryName":141,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[143,144,145,146,147,88,148,149,150,151,152,153,83,154,155,156,157,31,158,159],"expert","zod","zod validation expert","validation","react","safe","parsing","errors","schema validation","react hook form","hook","trpc","form","type","next","schema","Next.js",{"skillNo":161,"name":162,"nameZh":6,"description":163,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":164,"categories":165,"keywords":167,"publishedAt":32},"01M6GDR658B08K4MY0RWD4A6EH","zeroize-audit","Detects missing zeroization of sensitive data in source code and identifies zeroization removed by compiler optimizations, with assembly-level analysis, and control-flow verification. Use for auditing C\u002FC++\u002FRust code handling secrets, keys, passwords, or other sensitive data.","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fzeroize-audit\u002FSKILL.md",[166],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[168,169,170,171,172,173,174,175,31,176,177,178,179,180,181,182,183,184,185,103],"zeroize audit","audit","write","passwords","get","project","c++","activate","assembly","read","Bash","secrets","analysis","data","flow","verification","code","rust"]