Remove granular progress tracking across workflow system

- 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>
This commit is contained in:
catlog22
2025-09-08 15:26:01 +08:00
parent da717546f8
commit 9502741d50
17 changed files with 2064 additions and 3449 deletions

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@@ -2,112 +2,159 @@
## Core Agent Coordination Features
- **Context Preservation**: Maintain original task context throughout Agent chain
- **Gemini Context Analysis**: MANDATORY context gathering before any agent execution
- **Context-Driven Coordination**: Agents work with comprehensive codebase understanding
- **Dynamic Agent Selection**: Choose agents based on discovered context and patterns
- **Continuous Context Updates**: Refine understanding throughout agent execution
- **Cross-Agent Context Sharing**: Maintain shared context state across all agents
- **Pattern-Aware Execution**: Leverage discovered patterns for optimal implementation
- **Quality Gates**: Each Agent validates input and ensures output standards
- **Adaptive Complexity**: Workflow depth matches task complexity requirements
- **Iterative Improvement**: Complex workflows include multiple review-fix cycles
- **Structured Output**: Standardized Agent output formats ensure reliable coordination
- **Error Recovery**: Graceful handling of Agent coordination failures
## Workflow Implementation Patterns
### Simple Workflow Pattern
```pseudocode
Flow: TodoWrite Creation → Context Implementation → Review
Flow: Gemini Context Analysis → TodoWrite Creation → Context-Aware Implementation → Review
1. MANDATORY TodoWrite Creation:
- "Gather context for implementation"
- "Implement solution"
- "Review and validate code"
- "Complete task"
1. MANDATORY Gemini Context Analysis:
- Analyze target files and immediate dependencies
- Discover existing patterns and conventions
- Identify utilities and libraries to use
- Generate context package for agents
2. Implementation Checkpoint:
Task(code-developer): Direct implementation
2. TodoWrite Creation (Context-informed):
- "Execute Gemini context analysis"
- "Implement solution following discovered patterns"
- "Review against codebase standards"
- "Complete task with context validation"
3. Context-Aware Implementation:
Task(code-developer): Implementation with Gemini context package
Input: CONTEXT_PACKAGE, PATTERNS_DISCOVERED, CONVENTIONS_IDENTIFIED
Output: SUMMARY, FILES_MODIFIED, TESTS, VERIFICATION
3. Review Checkpoint:
Task(code-review-agent): Quick quality review
4. Context-Aware Review:
Task(code-review-agent): Review with codebase standards context
Input: CONTEXT_PACKAGE, IMPLEMENTATION_RESULTS
Output: STATUS, SCORE, ISSUES, RECOMMENDATIONS
Resume Support: Load todos + context from checkpoint
Resume Support: Load todos + full context state from checkpoint
```
### Medium Workflow Pattern
```pseudocode
Flow: TodoWrite → Planning → Implementation → Review
Flow: Comprehensive Gemini Analysis → TodoWrite → Multi-Context Implementation → Review
1. MANDATORY TodoWrite Creation (5-7 todos):
- "Create implementation plan"
- "Gather context", "Implement with tests"
- "Validate", "Review", "Complete"
1. MANDATORY Comprehensive Gemini Context Analysis:
- Analyze feature area and related components
- Discover cross-file patterns and architectural decisions
- Identify integration points and dependencies
- Generate comprehensive context packages for multiple agents
2. Planning Checkpoint:
Task(planning-agent): Create plan
Trigger decomposition if >3 modules or >5 subtasks
Output: PLAN_SUMMARY, STEPS, SUCCESS_CRITERIA
2. TodoWrite Creation (Context-driven, 5-7 todos):
- "Execute comprehensive Gemini context analysis"
- "Coordinate multi-agent implementation with shared context"
- "Implement following discovered architectural patterns"
- "Validate against existing system patterns", "Review", "Complete"
3. Multi-Context Implementation:
Task(code-developer): Implementation with comprehensive context
Input: CONTEXT_PACKAGES, ARCHITECTURAL_PATTERNS, INTEGRATION_POINTS
Update context as new patterns discovered
3. Implementation Checkpoint:
Task(code-developer): Follow plan
Update TODO_CHECKLIST.md if decomposition exists
4. Review Checkpoint:
Task(code-review-agent): Comprehensive review
Verify against plan and decomposition
4. Context-Aware Review:
Task(code-review-agent): Comprehensive review with system context
Input: FULL_CONTEXT_STATE, IMPLEMENTATION_RESULTS, PATTERN_COMPLIANCE
Verify against discovered architectural patterns
Resume Support: Full state restoration at each checkpoint
Resume Support: Full context state + pattern discovery restoration
```
### Complex Workflow Pattern
```pseudocode
Flow: TodoWrite → Planning → Implementation → Review → Iterate (max 2)
Flow: Deep Gemini Analysis → TodoWrite → Orchestrated Multi-Agent → Review → Iterate (max 2)
1. MANDATORY TodoWrite Creation (7-10 todos):
- "Create detailed plan", "Generate decomposition docs"
- "Gather context", "Implement with testing"
- "Validate criteria", "Review", "Iterate", "Complete"
1. MANDATORY Deep Gemini Context Analysis:
- System-wide architectural understanding
- Deep pattern analysis across entire codebase
- Integration complexity assessment
- Multi-agent coordination requirements discovery
- Risk pattern identification
2. Planning Checkpoint:
Task(planning-agent): MANDATORY task decomposition
Generate: IMPL_PLAN.md (enhanced structure), TODO_LIST.md
Include risk assessment and quality gates
2. TodoWrite Creation (Context-orchestrated, 7-10 todos):
- "Execute deep system-wide Gemini analysis"
- "Orchestrate multi-agent coordination with shared context"
- "Implement with continuous context refinement"
- "Validate against system architectural patterns", "Review", "Iterate", "Complete"
3. Orchestrated Multi-Agent Implementation:
Multiple specialized agents with shared deep context
Input: SYSTEM_CONTEXT, ARCHITECTURAL_PATTERNS, RISK_ASSESSMENT
Continuous Gemini context updates throughout execution
Cross-agent context synchronization
3. Implementation Checkpoint:
Task(code-developer): Follow hierarchical breakdown
Update TODO_CHECKLIST.md for each subtask completion
4. Review & Iteration Loop (max 2 iterations):
Task(code-review-agent): Production-ready review
If CRITICAL_ISSUES found: Task(code-developer) fixes issues
4. Deep Context Review & Iteration Loop (max 2 iterations):
Task(code-review-agent): Production-ready review with full system context
If CRITICAL_ISSUES found: Re-analyze context and coordinate fixes
Continue until no critical issues or max iterations reached
Document Validation: Verify decomposition docs generated
Resume Support: Full state + iteration tracking
Context Validation: Verify deep context analysis maintained throughout
Resume Support: Full context state + iteration tracking + cross-agent coordination
```
## Workflow Characteristics by Pattern
| Pattern | Agent Chain | Quality Focus | Iteration Strategy |
|---------|-------------|---------------|--------------------|
| **Complex** | Full 3-stage + iterations | Production-ready quality | Multiple rounds until perfect |
| **Medium** | Full 3-stage single-pass | Comprehensive quality | Single thorough review |
| **Simple** | 2-stage direct | Basic quality | Quick validation |
| Pattern | Context Analysis | Agent Coordination | Iteration Strategy |
|---------|------------------|--------------------|--------------------|
| **Complex** | Deep system-wide Gemini analysis | Multi-agent orchestration with shared context | Multiple rounds with context refinement |
| **Medium** | Comprehensive multi-file analysis | Context-driven coordination | Single thorough pass with pattern validation |
| **Simple** | Focused file-level analysis | Direct context-aware execution | Quick context validation |
## Task Invocation Examples
## Context-Driven Task Invocation Examples
```bash
# Research Task
# Gemini Context Analysis (Always First)
gemini "Analyze authentication patterns in codebase - identify existing implementations,
conventions, utilities, and integration patterns"
# Context-Aware Research Task
Task(subagent_type="general-purpose",
prompt="Research authentication patterns in codebase")
prompt="Research authentication patterns in codebase",
context="[GEMINI_CONTEXT_PACKAGE]")
# Planning Task
Task(subagent_type="planning-agent",
prompt="Plan OAuth2 implementation across API, middleware, and UI")
# Implementation Task
# Context-Informed Implementation Task
Task(subagent_type="code-developer",
prompt="Implement email validation function with tests")
prompt="Implement email validation function following discovered patterns",
context="PATTERNS: [pattern_list], UTILITIES: [util_list], CONVENTIONS: [conv_list]")
# Review Task
# Context-Driven Review Task
Task(subagent_type="code-review-agent",
prompt="Review recently implemented authentication service")
prompt="Review authentication service against codebase standards and patterns",
context="STANDARDS: [discovered_standards], PATTERNS: [existing_patterns]")
# Cross-Agent Context Sharing
Task(subagent_type="code-developer",
prompt="Coordinate with previous agent results using shared context",
context="PREVIOUS_CONTEXT: [agent_context], SHARED_STATE: [context_state]")
```
## Gemini Context Integration Points
### Pre-Agent Context Gathering
```bash
# Always execute before agent coordination
gemini "Comprehensive analysis for [task] - discover patterns, conventions, and optimal approach"
```
### During-Agent Context Updates
```bash
# Continuous context refinement
gemini "Update context understanding based on agent discoveries in [area]"
```
### Cross-Agent Context Synchronization
```bash
# Ensure context consistency across agents
gemini "Synchronize context between [agent1] and [agent2] work on [feature]"
```