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Zhongwei Li
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commands/infinite.md
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commands/infinite.md
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**INFINITE AGENTIC LOOP COMMAND**
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Think deeply about this infinite generation task. You are about to embark on a sophisticated iterative creation process.
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**Variables:**
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spec_file: $ARGUMENTS
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output_dir: $ARGUMENTS
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count: $ARGUMENTS
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**ARGUMENTS PARSING:**
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Parse the following arguments from "$ARGUMENTS":
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1. `spec_file` - Path to the markdown specification file
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2. `output_dir` - Directory where iterations will be saved
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3. `count` - Number of iterations (1-N or "infinite")
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**PHASE 1: SPECIFICATION ANALYSIS**
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Read and deeply understand the specification file at `spec_file`. This file defines:
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- What type of content to generate
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- The format and structure requirements
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- Any specific parameters or constraints
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- The intended evolution pattern between iterations
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Think carefully about the spec's intent and how each iteration should build upon previous work.
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**PHASE 2: OUTPUT DIRECTORY RECONNAISSANCE**
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Thoroughly analyze the `output_dir` to understand the current state:
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- List all existing files and their naming patterns
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- Identify the highest iteration number currently present
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- Analyze the content evolution across existing iterations
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- Understand the trajectory of previous generations
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- Determine what gaps or opportunities exist for new iterations
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**PHASE 3: ITERATION STRATEGY**
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Based on the spec analysis and existing iterations:
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- Determine the starting iteration number (highest existing + 1)
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- Plan how each new iteration will be unique and evolutionary
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- Consider how to build upon previous iterations while maintaining novelty
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- If count is "infinite", prepare for continuous generation until context limits
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**PHASE 4: PARALLEL AGENT COORDINATION**
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Deploy multiple Sub Agents to generate iterations in parallel for maximum efficiency and creative diversity:
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**Sub-Agent Distribution Strategy:**
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- For count 1-5: Launch all agents simultaneously
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- For count 6-20: Launch in batches of 5 agents to manage coordination
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- For "infinite": Launch waves of 3-5 agents, monitoring context and spawning new waves
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**Agent Assignment Protocol:**
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Each Sub Agent receives:
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1. **Spec Context**: Complete specification file analysis
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2. **Directory Snapshot**: Current state of output_dir at launch time
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3. **Iteration Assignment**: Specific iteration number (starting_number + agent_index)
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4. **Uniqueness Directive**: Explicit instruction to avoid duplicating concepts from existing iterations
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5. **Quality Standards**: Detailed requirements from the specification
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**Agent Task Specification:**
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```
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TASK: Generate iteration [NUMBER] for [SPEC_FILE] in [OUTPUT_DIR]
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You are Sub Agent [X] generating iteration [NUMBER].
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CONTEXT:
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- Specification: [Full spec analysis]
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- Existing iterations: [Summary of current output_dir contents]
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- Your iteration number: [NUMBER]
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- Assigned creative direction: [Specific innovation dimension to explore]
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REQUIREMENTS:
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1. Read and understand the specification completely
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2. Analyze existing iterations to ensure your output is unique
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3. Generate content following the spec format exactly
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4. Focus on [assigned innovation dimension] while maintaining spec compliance
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5. Create file with exact name pattern specified
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6. Ensure your iteration adds genuine value and novelty
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DELIVERABLE: Single file as specified, with unique innovative content
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```
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**Parallel Execution Management:**
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- Launch all assigned Sub Agents simultaneously using Task tool
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- Monitor agent progress and completion
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- Handle any agent failures by reassigning iteration numbers
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- Ensure no duplicate iteration numbers are generated
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- Collect and validate all completed iterations
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**PHASE 5: INFINITE MODE ORCHESTRATION**
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For infinite generation mode, orchestrate continuous parallel waves:
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**Wave-Based Generation:**
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1. **Wave Planning**: Determine next wave size (3-5 agents) based on context capacity
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2. **Agent Preparation**: Prepare fresh context snapshots for each new wave
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3. **Progressive Sophistication**: Each wave should explore more advanced innovation dimensions
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4. **Context Monitoring**: Track total context usage across all agents and main orchestrator
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5. **Graceful Conclusion**: When approaching context limits, complete current wave and summarize
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**Infinite Execution Cycle:**
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```
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WHILE context_capacity > threshold:
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1. Assess current output_dir state
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2. Plan next wave of agents (size based on remaining context)
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3. Assign increasingly sophisticated creative directions
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4. Launch parallel Sub Agent wave
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5. Monitor wave completion
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6. Update directory state snapshot
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7. Evaluate context capacity remaining
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8. If sufficient capacity: Continue to next wave
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9. If approaching limits: Complete final wave and summarize
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```
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**Progressive Sophistication Strategy:**
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- **Wave 1**: Basic functional replacements with single innovation dimension
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- **Wave 2**: Multi-dimensional innovations with enhanced interactions
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- **Wave 3**: Complex paradigm combinations with adaptive behaviors
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- **Wave N**: Revolutionary concepts pushing the boundaries of the specification
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**Context Optimization:**
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- Each wave uses fresh agent instances to avoid context accumulation
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- Main orchestrator maintains lightweight state tracking
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- Progressive summarization of completed iterations to manage context
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- Strategic pruning of less essential details in later waves
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**EXECUTION PRINCIPLES:**
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**Quality & Uniqueness:**
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- Each iteration must be genuinely unique and valuable
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- Build upon previous work while introducing novel elements
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- Maintain consistency with the original specification
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- Ensure proper file organization and naming
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**Parallel Coordination:**
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- Deploy Sub Agents strategically to maximize creative diversity
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- Assign distinct innovation dimensions to each agent to avoid overlap
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- Coordinate timing to prevent file naming conflicts
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- Monitor all agents for successful completion and quality
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**Scalability & Efficiency:**
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- Think deeply about the evolution trajectory across parallel streams
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- For infinite mode, optimize for maximum valuable output before context exhaustion
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- Use wave-based generation to manage context limits intelligently
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- Balance parallel speed with quality and coordination overhead
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**Agent Management:**
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- Provide each Sub Agent with complete context and clear assignments
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- Handle agent failures gracefully with iteration reassignment
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- Ensure all parallel outputs integrate cohesively with the overall progression
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**ULTRA-THINKING DIRECTIVE:**
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Before beginning generation, engage in extended thinking about:
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**Specification & Evolution:**
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- The deeper implications of the specification
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- How to create meaningful progression across iterations
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- What makes each iteration valuable and unique
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- How to balance consistency with innovation
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**Parallel Strategy:**
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- Optimal Sub Agent distribution for the requested count
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- How to assign distinct creative directions to maximize diversity
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- Wave sizing and timing for infinite mode
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- Context management across multiple parallel agents
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**Coordination Challenges:**
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- How to prevent duplicate concepts across parallel streams
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- Strategies for ensuring each agent produces genuinely unique output
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- Managing file naming and directory organization with concurrent writes
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- Quality control mechanisms for parallel outputs
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**Infinite Mode Optimization:**
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- Wave-based generation patterns for sustained output
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- Progressive sophistication strategies across multiple waves
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- Context capacity monitoring and graceful conclusion planning
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- Balancing speed of parallel generation with depth of innovation
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**Risk Mitigation:**
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- Handling agent failures and iteration reassignment
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- Ensuring coherent overall progression despite parallel execution
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- Managing context window limits across the entire system
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- Maintaining specification compliance across all parallel outputs
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Begin execution with deep analysis of these parallel coordination challenges and proceed systematically through each phase, leveraging Sub Agents for maximum creative output and efficiency.
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