/elaborate
Generate comprehensive technical analysis and implementation guide with adaptive research and project-specific optimization
How it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/elaborate
Context preview
What this command does when you run it.
Generate comprehensive technical analysis and implementation guide with adaptive research and project-specific optimization
Command definition
elaborate.mdallowed-tools: Read, Write, Bash(fd:*), Bash(rg:*), Bash(git:*), Bash(gdate:*), Bash(jq:*), Bash(wc:*), Task, WebFetch
name: "Elaborate"
description: "Generate comprehensive technical analysis and implementation guide with adaptive research and project-specific optimization"
author: "wcygan"
tags: ["analyze","code"]
version: "1.0.0"
created_at: "2025-07-14T00:00:00Z"
updated_at: "2025-07-14T00:00:00Z"
Context
- Session ID: !`gdate +%s%N`
- Current directory: !`pwd`
- Analysis target: $ARGUMENTS
- Project structure: !`fd . -t d -d 3 | head -15 || echo "No directories found"`
- Code files: !`fd "\.(rs|go|java|py|js|ts|cpp|c|kt|scala|rb|php|cs|swift)$" . | wc -l | tr -d ' ' || echo "0"`
- Configuration files: !`fd "(package\.json|Cargo\.toml|go\.mod|pom\.xml|deno\.json|requirements\.txt|composer\.json|build\.gradle)$" . -d 3 || echo "No config files"`
- Documentation: !`fd "(README|CHANGELOG|CONTRIBUTING|LICENSE)\.md$" . -d 2 | head -5 || echo "No docs found"`
- Test files: !`fd "(test|spec)" . -t f | wc -l | tr -d ' ' || echo "0"`
- Git repository: !`git rev-parse --is-inside-work-tree 2>/dev/null && echo "Yes" || echo "No"`
- Recent changes: !`git log --oneline -5 2>/dev/null || echo "No git repository"`
- Branch status: !`git status --porcelain 2>/dev/null | wc -l | tr -d ' ' | xargs -I {} echo "{} uncommitted files" || echo "N/A"`
- Technology stack indicators: !`rg "(import|require|use|include|from)" . --type rust --type go --type java --type python --type typescript | head -10 | cut -d: -f3 | sort -u | head -5 || echo "No imports detected"`
Your Task
**IMMEDIATELY DEPLOY 10 PARALLEL ANALYSIS AGENTS** for ultra-fast comprehensive technical analysis: **$ARGUMENTS**
Think deeply about comprehensive technical implementation while maximizing parallel execution for 10x speedup.
**CRITICAL**: Launch ALL agents simultaneously in first response - NO conditional complexity logic.
Parallel Analysis Framework
STEP 1: **LAUNCH ALL 10 AGENTS SIMULTANEOUSLY**
**NO CONDITIONAL PROCESSING** - Deploy these specialized analysis agents in parallel:
1. **Technology Stack Agent**: Detect languages, frameworks, dependencies, and architectural patterns 2. **Implementation Strategy Agent**: Research best practices, design patterns, and technology-specific solutions 3. **Testing & Quality Agent**: Testing frameworks, coverage strategies, CI/CD pipelines, and quality gates 4. **DevOps & Deployment Agent**: Infrastructure, monitoring, deployment automation, and production readiness 5. **Security & Compliance Agent**: Security patterns, authentication, authorization, and compliance requirements 6. **Performance & Scalability Agent**: Optimization strategies, caching, load balancing, and scaling patterns 7. **Code Examples Agent**: Working implementations, advanced patterns, and real-world use cases 8. **Risk Assessment Agent**: Technical debt, alternative approaches, migration paths, and trade-off analysis 9. **Documentation & Standards Agent**: API documentation, architectural decisions, and team coordination 10. **Integration & APIs Agent**: Service integration, external APIs, data flow, and system boundaries
**Expected speedup**: 10x faster than sequential analysis.
STEP 2: Initialize Parallel Session Management
// /tmp/elaborate-analysis-$SESSION_ID.json
{
"sessionId": "$SESSION_ID",
"target": "$ARGUMENTS",
"phase": "parallel_analysis",
"technology_stack": "auto-detect",
"analysis_domains": [
"technology",
"implementation",
"testing",
"devops",
"security",
"performance",
"examples",
"risks",
"documentation",
"integration"
],
"research_findings": {},
"implementation_phases": [],
"artifacts_created": [],
"checkpoints": []
}STEP 3: Parallel Research & Analysis Execution
**ALL AGENTS WORK CONCURRENTLY:**
**Comprehensive Analysis Discovery:**
# Technology stack and dependencies
fd . -t f -e json -e toml -e xml -e py -e rs -e go -e java -e ts -e js | head -20
# Architecture and patterns
rg "(class|interface|struct|enum|type|module)" . --type rust --type go --type java --type typescript | head -10
# Testing and quality frameworks
rg "(test|spec|mock|assert|describe|it)" . | head -10
# Configuration and deployment
fd . -t f | rg "(docker|k8s|config|deploy|ci|cd)" | head -10
TRY: Launch all 10 parallel agents for comprehensive technical analysis Execute concurrent research across all analysis domains Synthesize findings from all agent results Generate multi-phase implementation roadmap Create comprehensive technical documentation Update session state: phase = "analysis_complete"
CATCH (agent_failures): Continue with available agent results Document failed analysis areas Provide partial guidance with gaps identified Generate basic implementation roadmap
FINALLY: Aggregate all parallel agent findings Synthesize comprehensive technical analysis Generate implementation phases and roadmap Create technology-specific code examples Save artifacts: comprehensive-guide.md, implementation-checklist.md, code-examples/ Clean up temporary analysis files
STEP 4: **Parallel Results Synthesis**
WAIT for ALL 10 agents to complete technical analysis AGGREGATE findings from all parallel streams:
- Complete technology stack analysis and recommendations
- Implementation strategy with best practices and patterns
- Testing framework recommendations and quality gates
- DevOps pipeline and deployment automation strategies
- Security patterns and compliance requirements
- Performance optimization and scalability approaches
- Working code examples and advanced implementation patterns
- Risk assessment and alternative architecture options
- Documentation standards and team coordination strategies
- Integration patterns and API design recommendations
GENERATE multi-phase implementation roadmap:
- Phase 1: Foundation Setup (1-2 weeks)
- Phase 2: Core Implementation (3-4 weeks)
- Phase 3: Production Readiness (1-2 weeks)
Read more
allowed-tools: Read, Write, Bash(fd:*), Bash(rg:*), Bash(git:*), Bash(gdate:*), Bash(jq:*), Bash(wc:*), Task, WebFetch name: "Elaborate" description: "Generate comprehensive technical analysis and implementation guide with adaptive research and project-specific optimization" author: "wcygan" tags: ["analyze","code"] version: "1.0.0" created_at: "2025-07-14T00:00:00Z" updated_at: "2025-07-14T00:00:00Z"
Context
- Session ID: !`gdate +%s%N`
- Current directory: !`pwd`
- Analysis target: $ARGUMENTS
- Project structure: !`fd . -t d -d 3 | head -15 || echo "No directories found"`
- Code files: !`fd "\.(rs|go|java|py|js|ts|cpp|c|kt|scala|rb|php|cs|swift)$" . | wc -l | tr -d ' ' || echo "0"`
- Configuration files: !`fd "(package\.json|Cargo\.toml|go\.mod|pom\.xml|deno\.json|requirements\.txt|composer\.json|build\.gradle)$" . -d 3 || echo "No config files"`
- Documentation: !`fd "(README|CHANGELOG|CONTRIBUTING|LICENSE)\.md$" . -d 2 | head -5 || echo "No docs found"`
- Test files: !`fd "(test|spec)" . -t f | wc -l | tr -d ' ' || echo "0"`
- Git repository: !`git rev-parse --is-inside-work-tree 2>/dev/null && echo "Yes" || echo "No"`
- Recent changes: !`git log --oneline -5 2>/dev/null || echo "No git repository"`
- Branch status: !`git status --porcelain 2>/dev/null | wc -l | tr -d ' ' | xargs -I {} echo "{} uncommitted files" || echo "N/A"`
- Technology stack indicators: !`rg "(import|require|use|include|from)" . --type rust --type go --type java --type python --type typescript | head -10 | cut -d: -f3 | sort -u | head -5 || echo "No imports detected"`
Your Task
**IMMEDIATELY DEPLOY 10 PARALLEL ANALYSIS AGENTS** for ultra-fast comprehensive technical analysis: **$ARGUMENTS**
Think deeply about comprehensive technical implementation while maximizing parallel execution for 10x speedup.
**CRITICAL**: Launch ALL agents simultaneously in first response - NO conditional complexity logic.
Parallel Analysis Framework
STEP 1: **LAUNCH ALL 10 AGENTS SIMULTANEOUSLY**
**NO CONDITIONAL PROCESSING** - Deploy these specialized analysis agents in parallel:
1. **Technology Stack Agent**: Detect languages, frameworks, dependencies, and architectural patterns 2. **Implementation Strategy Agent**: Research best practices, design patterns, and technology-specific solutions 3. **Testing & Quality Agent**: Testing frameworks, coverage strategies, CI/CD pipelines, and quality gates 4. **DevOps & Deployment Agent**: Infrastructure, monitoring, deployment automation, and production readiness 5. **Security & Compliance Agent**: Security patterns, authentication, authorization, and compliance requirements 6. **Performance & Scalability Agent**: Optimization strategies, caching, load balancing, and scaling patterns 7. **Code Examples Agent**: Working implementations, advanced patterns, and real-world use cases 8. **Risk Assessment Agent**: Technical debt, alternative approaches, migration paths, and trade-off analysis 9. **Documentation & Standards Agent**: API documentation, architectural decisions, and team coordination 10. **Integration & APIs Agent**: Service integration, external APIs, data flow, and system boundaries
**Expected speedup**: 10x faster than sequential analysis.
STEP 2: Initialize Parallel Session Management
// /tmp/elaborate-analysis-$SESSION_ID.json
{
"sessionId": "$SESSION_ID",
"target": "$ARGUMENTS",
"phase": "parallel_analysis",
"technology_stack": "auto-detect",
"analysis_domains": [
"technology",
"implementation",
"testing",
"devops",
"security",
"performance",
"examples",
"risks",
"documentation",
"integration"
],
"research_findings": {},
"implementation_phases": [],
"artifacts_created": [],
"checkpoints": []
}STEP 3: Parallel Research & Analysis Execution
**ALL AGENTS WORK CONCURRENTLY:**
**Comprehensive Analysis Discovery:**
# Technology stack and dependencies fd . -t f -e json -e toml -e xml -e py -e rs -e go -e java -e ts -e js | head -20 # Architecture and patterns rg "(class|interface|struct|enum|type|module)" . --type rust --type go --type java --type typescript | head -10 # Testing and quality frameworks rg "(test|spec|mock|assert|describe|it)" . | head -10 # Configuration and deployment fd . -t f | rg "(docker|k8s|config|deploy|ci|cd)" | head -10
TRY: Launch all 10 parallel agents for comprehensive technical analysis Execute concurrent research across all analysis domains Synthesize findings from all agent results Generate multi-phase implementation roadmap Create comprehensive technical documentation Update session state: phase = "analysis_complete"
CATCH (agent_failures): Continue with available agent results Document failed analysis areas Provide partial guidance with gaps identified Generate basic implementation roadmap
FINALLY: Aggregate all parallel agent findings Synthesize comprehensive technical analysis Generate implementation phases and roadmap Create technology-specific code examples Save artifacts: comprehensive-guide.md, implementation-checklist.md, code-examples/ Clean up temporary analysis files
STEP 4: **Parallel Results Synthesis**
WAIT for ALL 10 agents to complete technical analysis AGGREGATE findings from all parallel streams:
- Complete technology stack analysis and recommendations
- Implementation strategy with best practices and patterns
- Testing framework recommendations and quality gates
- DevOps pipeline and deployment automation strategies
- Security patterns and compliance requirements
- Performance optimization and scalability approaches
- Working code examples and advanced implementation patterns
- Risk assessment and alternative architecture options
- Documentation standards and team coordination strategies
- Integration patterns and API design recommendations
GENERATE multi-phase implementation roadmap:
- Phase 1: Foundation Setup (1-2 weeks)
- Phase 2: Core Implementation (3-4 weeks)
- Phase 3: Production Readiness (1-2 weeks)
A lightweight (~46kB) and comprehensive CLI tool for managing Claude commands, configurations, and workflows.
Repo: kiliczsh/claude-cmd
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