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- Remove detailed progress views (Total Tasks: X, Completed: Y %) from all templates - Simplify TODO_LIST.md structure by removing Progress Overview sections - Remove stats tracking from session-management-principles.json schema - Eliminate progress format and calculation logic from context command - Remove percentage-based progress displays from action-planning-agent - Simplify vibe command coordination by removing detailed task counts - Focus on essential JSON state changes rather than UI progress metrics 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
160 lines
6.6 KiB
Markdown
160 lines
6.6 KiB
Markdown
# Agent Orchestration Patterns
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## Core Agent Coordination Features
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- **Gemini Context Analysis**: MANDATORY context gathering before any agent execution
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- **Context-Driven Coordination**: Agents work with comprehensive codebase understanding
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- **Dynamic Agent Selection**: Choose agents based on discovered context and patterns
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- **Continuous Context Updates**: Refine understanding throughout agent execution
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- **Cross-Agent Context Sharing**: Maintain shared context state across all agents
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- **Pattern-Aware Execution**: Leverage discovered patterns for optimal implementation
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- **Quality Gates**: Each Agent validates input and ensures output standards
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- **Error Recovery**: Graceful handling of Agent coordination failures
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## Workflow Implementation Patterns
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### Simple Workflow Pattern
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```pseudocode
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Flow: Gemini Context Analysis → TodoWrite Creation → Context-Aware Implementation → Review
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1. MANDATORY Gemini Context Analysis:
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- Analyze target files and immediate dependencies
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- Discover existing patterns and conventions
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- Identify utilities and libraries to use
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- Generate context package for agents
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2. TodoWrite Creation (Context-informed):
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- "Execute Gemini context analysis"
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- "Implement solution following discovered patterns"
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- "Review against codebase standards"
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- "Complete task with context validation"
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3. Context-Aware Implementation:
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Task(code-developer): Implementation with Gemini context package
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Input: CONTEXT_PACKAGE, PATTERNS_DISCOVERED, CONVENTIONS_IDENTIFIED
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Output: SUMMARY, FILES_MODIFIED, TESTS, VERIFICATION
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4. Context-Aware Review:
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Task(code-review-agent): Review with codebase standards context
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Input: CONTEXT_PACKAGE, IMPLEMENTATION_RESULTS
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Output: STATUS, SCORE, ISSUES, RECOMMENDATIONS
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Resume Support: Load todos + full context state from checkpoint
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```
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### Medium Workflow Pattern
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```pseudocode
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Flow: Comprehensive Gemini Analysis → TodoWrite → Multi-Context Implementation → Review
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1. MANDATORY Comprehensive Gemini Context Analysis:
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- Analyze feature area and related components
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- Discover cross-file patterns and architectural decisions
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- Identify integration points and dependencies
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- Generate comprehensive context packages for multiple agents
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2. TodoWrite Creation (Context-driven, 5-7 todos):
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- "Execute comprehensive Gemini context analysis"
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- "Coordinate multi-agent implementation with shared context"
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- "Implement following discovered architectural patterns"
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- "Validate against existing system patterns", "Review", "Complete"
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3. Multi-Context Implementation:
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Task(code-developer): Implementation with comprehensive context
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Input: CONTEXT_PACKAGES, ARCHITECTURAL_PATTERNS, INTEGRATION_POINTS
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Update context as new patterns discovered
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4. Context-Aware Review:
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Task(code-review-agent): Comprehensive review with system context
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Input: FULL_CONTEXT_STATE, IMPLEMENTATION_RESULTS, PATTERN_COMPLIANCE
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Verify against discovered architectural patterns
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Resume Support: Full context state + pattern discovery restoration
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```
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### Complex Workflow Pattern
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```pseudocode
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Flow: Deep Gemini Analysis → TodoWrite → Orchestrated Multi-Agent → Review → Iterate (max 2)
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1. MANDATORY Deep Gemini Context Analysis:
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- System-wide architectural understanding
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- Deep pattern analysis across entire codebase
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- Integration complexity assessment
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- Multi-agent coordination requirements discovery
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- Risk pattern identification
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2. TodoWrite Creation (Context-orchestrated, 7-10 todos):
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- "Execute deep system-wide Gemini analysis"
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- "Orchestrate multi-agent coordination with shared context"
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- "Implement with continuous context refinement"
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- "Validate against system architectural patterns", "Review", "Iterate", "Complete"
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3. Orchestrated Multi-Agent Implementation:
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Multiple specialized agents with shared deep context
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Input: SYSTEM_CONTEXT, ARCHITECTURAL_PATTERNS, RISK_ASSESSMENT
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Continuous Gemini context updates throughout execution
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Cross-agent context synchronization
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4. Deep Context Review & Iteration Loop (max 2 iterations):
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Task(code-review-agent): Production-ready review with full system context
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If CRITICAL_ISSUES found: Re-analyze context and coordinate fixes
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Continue until no critical issues or max iterations reached
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Context Validation: Verify deep context analysis maintained throughout
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Resume Support: Full context state + iteration tracking + cross-agent coordination
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```
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## Workflow Characteristics by Pattern
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| Pattern | Context Analysis | Agent Coordination | Iteration Strategy |
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|---------|------------------|--------------------|--------------------|
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| **Complex** | Deep system-wide Gemini analysis | Multi-agent orchestration with shared context | Multiple rounds with context refinement |
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| **Medium** | Comprehensive multi-file analysis | Context-driven coordination | Single thorough pass with pattern validation |
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| **Simple** | Focused file-level analysis | Direct context-aware execution | Quick context validation |
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## Context-Driven Task Invocation Examples
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```bash
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# Gemini Context Analysis (Always First)
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gemini "Analyze authentication patterns in codebase - identify existing implementations,
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conventions, utilities, and integration patterns"
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# Context-Aware Research Task
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Task(subagent_type="general-purpose",
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prompt="Research authentication patterns in codebase",
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context="[GEMINI_CONTEXT_PACKAGE]")
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# Context-Informed Implementation Task
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Task(subagent_type="code-developer",
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prompt="Implement email validation function following discovered patterns",
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context="PATTERNS: [pattern_list], UTILITIES: [util_list], CONVENTIONS: [conv_list]")
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# Context-Driven Review Task
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Task(subagent_type="code-review-agent",
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prompt="Review authentication service against codebase standards and patterns",
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context="STANDARDS: [discovered_standards], PATTERNS: [existing_patterns]")
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# Cross-Agent Context Sharing
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Task(subagent_type="code-developer",
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prompt="Coordinate with previous agent results using shared context",
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context="PREVIOUS_CONTEXT: [agent_context], SHARED_STATE: [context_state]")
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```
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## Gemini Context Integration Points
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### Pre-Agent Context Gathering
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```bash
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# Always execute before agent coordination
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gemini "Comprehensive analysis for [task] - discover patterns, conventions, and optimal approach"
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```
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### During-Agent Context Updates
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```bash
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# Continuous context refinement
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gemini "Update context understanding based on agent discoveries in [area]"
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```
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### Cross-Agent Context Synchronization
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```bash
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# Ensure context consistency across agents
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gemini "Synchronize context between [agent1] and [agent2] work on [feature]"
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``` |