| title | adr-roadmap: Generate phased implementation roadmaps from Architecture Decision Records |
| name | adr-roadmap |
| description | Generate phased implementation roadmaps from Architecture Decision Records |
| tags | sdd-workflow, shared-architecture |
| custom_fields | [object Object] |
adr-roadmap
Purpose
Analyze Architecture Decision Records (ADRs) and generate phased implementation roadmaps with timelines, dependencies, resource allocation, and risk assessment for any project type.
Key Capabilities:
- Universal ADR analysis across any domain (web, mobile, data, ML, infrastructure, embedded)
- Automatic dependency mapping and critical path identification
- Phase decomposition based on complexity, dependencies, and milestones
- Timeline estimation with effort calculation and risk buffers
- Mermaid diagram generation (dependency graphs, Gantt charts)
- Risk assessment per phase
- Testing strategy definition
- Technical debt tracking
When to Use This Skill
Use adr-roadmap when:
- Project has ≥5 ADRs requiring coordinated implementation
- Need visibility into architectural dependencies and critical path
- Planning multi-phase rollout of architectural decisions
- Require timeline estimation from ADR complexity assessments
- Stakeholders need executive summary of implementation plan
- Managing technical debt and need phased remediation plan
- Team needs clear milestone definitions and acceptance criteria
Do NOT use adr-roadmap when:
- Single ADR with straightforward implementation (direct implementation)
- ADRs are informational only with no implementation needed
- Planning from requirements (BRD/PRD) not ADRs → use
project-mngtskill instead - Need to generate documentation artifacts (SYS/REQ/SPEC) → use
doc-flowskill instead - Only need architecture diagrams → use
charts-flowskill instead
Skill Inputs
Required Inputs
| Input | Description | Example |
|---|---|---|
| adr_directory | Absolute path to ADR markdown files | {project_root}/docs/ADR/ |
| project_context | Project type, team size, timeline constraints | "Trading platform, 5 FTE, 6-month timeline" |
Optional Inputs
| Input | Description | Default |
|---|---|---|
| output_file | Roadmap destination path | {adr_directory}/ADR-000_IMPLEMENTATION-ROADMAP.md |
| max_phase_duration | Maximum weeks per phase | 8 weeks |
| prioritize_adr | Force specific ADR ID first (e.g., "ADR-02") | None |
| phase_model | Phasing approach: poc-mvp-prod, iterative, waterfall |
poc-mvp-prod |
| team_size | Number of FTE engineers | 3 |
| target_phases | Desired number of phases | Auto-calculate |
Skill Workflow
Step 1: Analyze ADR Directory
Actions:
- Read all
ADR-*.mdfiles from specified directory - Extract metadata from each ADR:
- ADR ID and title
- Status (Proposed, Accepted, Deprecated)
- Complexity rating (1-5 scale from Implementation Assessment section)
- Effort estimate (from Implementation Assessment section)
- Dependencies (from Related Decisions section)
- Count total ADRs and validate structure
- Identify ADR index file (
ADR-000_index.md) if present - Identify traceability matrix if present
Validation:
- Warn if any ADR missing complexity rating
- Warn if dependency references broken (ADR ID doesn't exist)
- Error if no ADRs found in directory
Output: ADR inventory with metadata
Step 2: Build Dependency Graph
Actions:
- Parse "Related Decisions" section from each ADR:
- Upstream dependencies (must implement first)
- Downstream impacts (will be affected)
- Parallel decisions (can implement concurrently)
- Create adjacency matrix of ADR dependencies
- Detect circular dependencies (error condition)
- Calculate critical path (longest dependency chain)
- Identify independent ADR clusters (can parallelize)
Dependency Classification:
- Hard dependency: ADR-B requires ADR-A implementation complete
- Soft dependency: ADR-B references ADR-A decision but can proceed in parallel
- No dependency: ADRs completely independent
Output:
- Dependency matrix (table format)
- Mermaid flowchart showing ADR relationships
- Critical path highlighted
Step 3: Calculate Complexity Scores
Actions:
- Aggregate complexity ratings per ADR:
- Complexity 1-2: Simple (1-2 days effort)
- Complexity 3: Moderate (3-5 days effort)
- Complexity 4: Complex (1-2 weeks effort)
- Complexity 5: Architectural change (3-4 weeks effort)
- Sum total effort across all ADRs
- Identify high-risk ADRs (complexity 4-5 with many dependencies)
- Calculate risk buffer (add 20-30% contingency)
Effort Estimation Formula:
Total Effort = Σ(ADR Complexity × Base Effort) × Risk Buffer
Base Effort (1=1d, 2=2d, 3=4d, 4=10d, 5=20d)
Risk Buffer = 1.2 (20% contingency)
Output:
- Total effort estimate in person-days
- High-risk ADR list
- Effort distribution per complexity level
Step 4: Create Phase Structure
Phasing Algorithm:
Apply selected phase model:
A. POC-MVP-Prod Model (Default)
Phase 1: POC (Proof of Concept)
- Minimal ADRs to validate technical feasibility
- Target: 2-3 weeks
- Criteria: Core integration working end-to-end
Phase 2: MVP (Minimum Viable Product)
- Add multi-user, persistence, basic security
- Target: 4-6 weeks
- Criteria: Production-ready for limited users
Phase 3: Production
- Cloud deployment, full security, monitoring
- Target: 6-8 weeks
- Criteria: Enterprise-grade reliability
Phase 4: Scale & Optimize
- Performance tuning, advanced patterns
- Target: 4-6 weeks
- Criteria: Performance targets met
Phase 5: Advanced Features
- Extended capabilities, continuous improvement
- Target: Ongoing
- Criteria: Feature backlog prioritized
B. Iterative Model
Each iteration (2-4 weeks):
- Select ADR cluster (low dependency)
- Implement and validate
- Integrate with existing system
- Deploy incrementally
C. Waterfall Model
Phase by ADR category:
- Infrastructure ADRs
- Core business logic ADRs
- Integration ADRs
- Optimization ADRs
Phase Assignment Rules:
- Respect dependencies: Upstream ADRs in earlier phases
- Balance phase size: Target max_phase_duration (default 8 weeks)
- Isolate risk: High-risk ADRs in separate phase or early POC
- Enable parallelization: Independent ADRs can be in same phase
- Milestone alignment: Phases end at natural milestones (POC, MVP, Beta, GA)
Output:
- Phase definitions (1-N phases)
- ADR assignments per phase
- Phase duration estimates
- Parallel implementation opportunities identified
Step 5: Generate Timeline
Actions:
- Calculate phase durations from ADR effort estimates:
Phase Duration = (Σ ADR Effort in Phase) / (Team Size × Efficiency Factor) Efficiency Factor = 0.7 (account for meetings, context switching) - Add inter-phase buffers:
- Integration testing: 1 week between major phases
- Security review: 1-2 weeks before production
- Stakeholder review: Gates between phases
- Create Gantt chart (Mermaid format):
gantt title ADR Implementation Timeline dateFormat YYYY-MM-DD section Phase 1 POC: p1, 2025-01-15, 3w section Phase 2 MVP: p2, after p1, 6w - Identify critical milestones:
- Go/no-go decision points
- External dependency dates
- Release windows
Output:
- Timeline table (phase, start, end, duration)
- Mermaid Gantt chart
- Milestone list with dates
Step 6: Create Roadmap Document
Generate comprehensive roadmap at {output_file}:
Document Structure:
# ADR Implementation Roadmap
## Document Control
| Item | Details |
|------|---------|
| **Project Name** | [Enter project name] |
| **Document Version** | [e.g., 1.0] |
| **Date** | [Current date] |
| **Document Owner** | [Name and title] |
| **Prepared By** | [Technical Lead/Architect name] |
| **Status** | [Draft / In Review / Approved] |
### Document Revision History
| Version | Date | Author | Changes Made | Approver |
|---------|------|--------|--------------|----------|
| 1.0 | [Date] | [Name] | Initial roadmap | |
| | | | | |
## Executive Summary
- Project overview
- Total ADRs: N
- Total phases: M
- Timeline: X weeks
- Team size: Y FTE
- Key milestones
## Phase 1: [Phase Name]
### Objectives
### Duration
### ADRs to Implement
#### ADR-XXX: Title
- Complexity: N/5
- Effort: X hours
- Scope: What to implement
- Deferred: What to skip
- Acceptance Criteria
### System Architecture
- Mermaid diagram
### Implementation Order
- Week-by-week breakdown
### Deliverables
### Success Criteria
### Risk Assessment
### Exit Criteria
## Phase 2: [Phase Name]
[Same structure]
...
## ADR Dependency Matrix
- Mermaid flowchart
- Critical path highlighted
- Parallel opportunities
## Technical Debt Management
- POC shortcuts (acceptable)
- MVP shortcuts (acceptable)
- Production standards (zero tolerance)
- Debt remediation timeline
## Risk Assessment
- Phase 1 risks
- Phase 2 risks
- Go/no-go thresholds
## Testing Strategy
- Phase 1: Manual testing only
- Phase 2: Automated unit/integration
- Phase 3: Security, performance, compliance
- Phase 4: Load testing, chaos engineering
## Acceptance Criteria
- Phase 1 acceptance
- Phase 2 acceptance
- [Per phase]
## Traceability
- ADR to Phase mapping table
- Phase to Timeline mapping
- Upstream sources (BRD, PRD)
- Downstream artifacts (SYS, REQ, SPEC)
Document Formatting:
- Use objective, factual language (per CLAUDE.md guidelines)
- Include Mermaid diagrams for visualizations
- Provide measurable acceptance criteria
- Specify complexity ratings (1-5 scale)
- Document failure modes and risks
- No subjective qualifiers (amazing, easy, powerful)
- Token limit: <100,000 tokens per file
Output: Complete roadmap markdown file
Adaptation Guidelines
For Greenfield Projects
Characteristics:
- No existing codebase
- Clean slate architecture
- Can choose optimal tech stack
Phasing Strategy:
- Front-load infrastructure: Cloud, database, auth decisions first
- Establish baseline: Technology stack (ADR-000) in Phase 1
- Enable parallelization: Independent modules early
- Defer optimization: Performance tuning to later phases
Example Phase Structure:
Phase 1: Foundation (Tech stack, cloud, database)
Phase 2: Core Features (Business logic ADRs)
Phase 3: Integration (External services, APIs)
Phase 4: Polish (Performance, UX, advanced features)
For Brownfield/Legacy Migration Projects
Characteristics:
- Existing production system
- Must maintain backward compatibility
- Gradual migration required
Phasing Strategy:
- Phase by risk level: Low-risk changes first for confidence
- Maintain compatibility: Each phase independently deployable
- Include rollback plans: Every phase has back-out procedure
- Dual-run periods: Run old and new systems in parallel
Example Phase Structure:
Phase 1: Infrastructure Prep (Observability, feature flags)
Phase 2: Low-Risk Migration (Read-only endpoints)
Phase 3: Medium-Risk Migration (Write endpoints with rollback)
Phase 4: High-Risk Migration (Core business logic)
Phase 5: Decommission Legacy (Remove old system)
Migration-Specific Sections to Add:
- Rollback procedures per phase
- Data migration strategy
- Dual-run validation criteria
- Backward compatibility requirements
For Refactoring Projects
Characteristics:
- Improving existing system
- No new features
- Minimize customer-facing changes
Phasing Strategy:
- Phase by module boundaries: Refactor one component at a time
- Continuous deployment: Each phase independently deployable
- Minimize disruption: Changes invisible to users
- Test extensively: Heavy emphasis on regression testing
Example Phase Structure:
Phase 1: Test Infrastructure (Add missing tests)
Phase 2: Module A Refactor (Database layer)
Phase 3: Module B Refactor (API layer)
Phase 4: Module C Refactor (Business logic)
Phase 5: Cleanup (Remove deprecated code)
Decision Frameworks
Framework 1: Phase Scope Decisions
When to create a new phase?
Decision tree:
1. Check dependencies:
- New ADRs have no dependencies on current phase? → New phase
- All dependencies in current/prior phases? → Same phase
2. Check complexity threshold:
- Current phase exceeds max_phase_duration (8 weeks)? → New phase
- Under threshold? → Same phase
3. Check risk isolation:
- ADR is high-risk (complexity 4-5)? → Consider separate phase for POC
- Low-medium risk? → Group with similar ADRs
4. Check milestone boundary:
- Natural project milestone (POC, MVP, Beta, GA)? → Phase boundary
- Mid-milestone? → Same phase
Output: Phase boundary decision
Framework 2: ADR Sequencing Within Phase
Order ADRs by:
Priority ranking (highest to lowest):
- Dependency (hard constraint): Upstream ADRs before downstream
- Risk (strategic):
- POC phase: High-risk ADRs first (de-risk early)
- Production phase: Low-risk ADRs first (build confidence)
- Complexity (team morale): Mix high and low complexity
- Business value (stakeholder visibility): High-value features earlier
Algorithm:
def sequence_adrs(adrs_in_phase):
# Step 1: Topological sort by dependencies (must respect)
sorted_by_deps = topological_sort(adrs_in_phase)
# Step 2: Within each dependency level, sort by risk/value
for level in sorted_by_deps:
if phase == "POC":
level.sort(key=lambda adr: adr.risk, reverse=True) # High-risk first
else:
level.sort(key=lambda adr: adr.value, reverse=True) # High-value first
return flatten(sorted_by_deps)
Output: Ordered ADR sequence per phase
Framework 3: Complexity Scoring
Aggregate ADR complexity when explicit ratings not available:
Estimation heuristics:
Complexity 1 (Trivial):
- Simple configuration change
- Library upgrade (no breaking changes)
- Documentation update
- Effort: 1 day
Complexity 2 (Simple):
- Add logging/monitoring
- Simple API endpoint
- Basic CRUD operation
- Effort: 2 days
Complexity 3 (Moderate):
- New authentication provider
- Database schema change
- Third-party integration
- Effort: 3-5 days
Complexity 4 (Complex):
- New deployment architecture
- Real-time data processing
- Multi-service integration
- Effort: 1-2 weeks
Complexity 5 (Architectural):
- Cloud provider migration
- Event-driven architecture
- Major technology swap
- Effort: 3-4 weeks
Output: Complexity rating per ADR
Framework 4: Technical Debt Classification
Acceptable shortcuts per phase:
| Phase | Acceptable Shortcuts | Must Have | Remediation Phase |
|---|---|---|---|
| POC | Hardcoded credentials, in-memory data, print logging, no tests, local deployment | Working integration | MVP |
| MVP | Basic error handling, simple caching, minimal monitoring | Multi-user auth, persistence, unit tests | Production |
| Production | Partial optimization | Full security, monitoring, HA, compliance | Scale |
| Scale | Some manual processes | Performance targets, auto-scaling | Advanced |
| Advanced | None (continuous improvement) | All features production-grade | N/A |
Output: Technical debt tracking table
Example Usage Scenarios
Example 1: MCP Server Project (27 ADRs)
User Invocation:
Use the adr-roadmap skill to create implementation roadmap.
Inputs:
- ADR directory: {project_root}/docs/ADR/
- Project context: Interactive Brokers MCP server, 3 developers, POC in 3 weeks
- Phase model: poc-mvp-prod
- Team size: 3
Generate roadmap in {project_root}/docs/ADR/ADR-000_IMPLEMENTATION-ROADMAP.md
Skill Actions:
- Read 27 ADRs from
{project_root}/docs/ADR/ - Extract complexity: ADR-02 (4/5), ADR-003 (2/5), etc.
- Parse dependencies: ADR-006 depends on ADR-003
- Create 5 phases:
- Phase 1: POC (ADR-000, 001, 002, 003 partial)
- Phase 2: MVP (ADR-006, 010, 012, 004, 013, 020, 007, 023)
- Phase 3: Production (ADR-014, 011, 016, 017, 018, 019, 026)
- Phase 4: Scale (ADR-009, 008, 005, 021, 025)
- Phase 5: Advanced (ADR-015, 022, 024)
- Calculate timelines:
- POC: 2-3 weeks (80 hours / 3 FTE = 2.7 weeks)
- MVP: 4-6 weeks
- etc.
- Generate Mermaid dependency graph
- Create comprehensive roadmap document
Generated Output: ADR-000_IMPLEMENTATION-ROADMAP.md (~1,400 lines)
Example 2: Web App Migration (12 ADRs)
User Invocation:
Use adr-roadmap skill for microservices migration roadmap.
Inputs:
- ADR directory: {example_project_a}/architecture/decisions/
- Project context: Monolith to microservices migration, 8 developers, 9-month timeline
- Phase model: iterative
- Team size: 8
Generate roadmap in {example_project_a}/architecture/decisions/ADR-000_IMPLEMENTATION-ROADMAP.md
Skill Actions:
- Read 12 migration ADRs
- Identify migration ADRs:
- ADR-01: Service decomposition strategy
- ADR-02: API gateway selection
- ADR-003: Service mesh (Istio)
- ADR-004: Database-per-service pattern
- etc.
- Phase by service boundaries (iterative):
- Iteration 1: User service (ADR-01, 002, 004)
- Iteration 2: Product service (ADR-005, 006)
- Iteration 3: Order service (ADR-007, 008)
- Iteration 4: Payment service (ADR-009, 010)
- Add migration-specific sections:
- Dual-run strategy per iteration
- Rollback procedures
- Data migration plans
- Generate roadmap with 4 iterations (2 months each)
Generated Output: Migration roadmap with rollback plans
Example 3: Data Platform (35 ADRs, Large Project)
User Invocation:
Create 6-month data platform roadmap.
Inputs:
- ADR directory: {example_project_b}/docs/ADR/
- Project context: Real-time analytics platform, 10 engineers, 6-month timeline
- Phase model: waterfall
- Team size: 10
- Target phases: 6
Generate roadmap in {example_project_b}/docs/ADR/ADR-000_IMPLEMENTATION-ROADMAP.md
Skill Actions:
- Read 35 ADRs across data engineering stack
- Group ADRs by category:
- Ingestion: 8 ADRs (Kafka, Kinesis, CDC)
- Storage: 6 ADRs (Data lake, warehouse, lakehouse)
- Processing: 10 ADRs (Spark, Flink, DBT)
- Serving: 6 ADRs (APIs, caching, query engines)
- Orchestration: 5 ADRs (Airflow, monitoring, alerting)
- Create 6 monthly phases:
- Month 1: Ingestion infrastructure
- Month 2: Storage layer
- Month 3: Processing pipelines
- Month 4: Serving layer
- Month 5: Orchestration
- Month 6: Optimization & launch
- Calculate resource allocation (10 engineers across tracks)
- Generate roadmap with parallel work streams
Generated Output: Resource-aware roadmap with 6 phases
Example 4: Embedded Systems (15 ADRs, Hardware Constraints)
User Invocation:
Create roadmap for IoT device firmware.
Inputs:
- ADR directory: /firmware/docs/adr/
- Project context: IoT sensor firmware, 2 embedded engineers, hardware prototype ready
- Phase model: poc-mvp-prod
- Team size: 2
- Constraints: Hardware prototype available Week 4
Generate roadmap in /firmware/docs/adr/ADR-000_IMPLEMENTATION-ROADMAP.md
Skill Actions:
- Read 15 embedded firmware ADRs
- Identify hardware-dependent vs. software-only ADRs
- Create phases aligned with hardware milestones:
- Phase 1: Software simulation (Weeks 1-3)
- Phase 2: Hardware integration (Weeks 4-6, after prototype)
- Phase 3: Field testing (Weeks 7-10)
- Phase 4: Production firmware (Weeks 11-12)
- Add hardware constraint notes
- Generate roadmap with hardware dependencies
Generated Output: Hardware-aware roadmap with gated phases
Quality Gates (Definition of Done)
Roadmap document must satisfy:
Completeness
- All ADRs from directory included
- Every ADR assigned to exactly one phase
- All dependencies documented in matrix
- Timeline calculated for all phases
- Risk assessment completed per phase
- Testing strategy defined per phase
- Acceptance criteria clear per phase
- Traceability section complete
Accuracy
- Dependency graph validated (no circular dependencies)
- Critical path identified correctly
- Effort estimates justified from ADR complexity
- Phase durations realistic for team size
- Risk ratings aligned with ADR assessments
Quality
- Mermaid diagrams render correctly
- Language objective and factual (CLAUDE.md compliant)
- No subjective claims (amazing, easy, powerful)
- Measurable acceptance criteria
- Token limit <100,000 per document
- Markdown formatting valid
- Tables formatted correctly
Usability
- Executive summary provides overview
- Stakeholders can understand timeline
- Engineers can start implementation from roadmap
- Clear next actions defined
- Go/no-go decision criteria explicit
Skill Constraints
What NOT to Do
- Do NOT make technology recommendations: Use ADR decisions as-is
- Do NOT skip ADRs: All must be mapped to phases
- Do NOT create phases >8 weeks: Break down into smaller phases
- Do NOT ignore dependencies: Validate critical path
- Do NOT use subjective language: Follow CLAUDE.md guidelines
- Do NOT guess complexity: Use ADR ratings or ask for clarification
- Do NOT create unrealistic timelines: Account for team size and efficiency
- Do NOT skip risk assessment: Every phase requires risk analysis
- Do NOT omit rollback plans: Production phases require rollback procedures
Edge Cases to Handle
Missing ADR metadata:
- If complexity rating missing → Estimate from ADR content or default to 3/5
- If dependencies missing → Assume independent (warn user)
- If effort estimate missing → Calculate from complexity
Circular dependencies:
- Error condition: Roadmap cannot proceed
- Action: Report circular dependency chain to user
- Resolution: User must update ADRs to break cycle
Zero ADRs found:
- Error condition: No ADRs in directory
- Action: Validate directory path, check for different naming convention
- Resolution: User provides correct path
Conflicting constraints:
- Example: User wants 3-week POC but ADRs require 6 weeks minimum
- Action: Report constraint conflict with calculations
- Resolution: User adjusts constraints or reduces POC scope
Output Format Specification
Generated Roadmap Document
File: {project}/docs/ADR/ADR-000_IMPLEMENTATION-ROADMAP.md
Size: 1,000-2,000 lines (varies by ADR count)
Token Limit: <100,000 tokens
Sections (in order):
Document Header:
# ADR Implementation RoadmapDocument Control:
- Project metadata table (name, version, date, owner, preparer, status)
- Document Revision History table (version, date, author, changes, approver)
Table of Contents: Links to all sections
Executive Summary:
- Project overview
- Total ADRs, phases, timeline
- Key milestones table
- Critical success factors
Phase Definitions (1 section per phase):
- Objectives
- Duration estimate
- ADRs to implement (with complexity, effort, scope)
- System architecture diagram (Mermaid)
- Implementation order (week-by-week)
- Deliverables
- Success criteria
- Risk assessment
- Exit criteria
ADR Dependency Matrix:
- Mermaid flowchart
- Critical path highlighted
- Parallel implementation opportunities
Technical Debt Management:
- Acceptable shortcuts per phase
- Remediation timeline
- Debt cost estimation
Risk Assessment:
- Risks per phase (table format)
- Go/no-go thresholds
Testing Strategy:
- Test approach per phase
- Coverage goals
- Test environments
Acceptance Criteria:
- Functional requirements per phase
- Quality attributes per phase
- Technical validation
Traceability:
- ADR to Phase mapping table
- Phase to Timeline mapping
- Upstream sources
- Downstream artifacts
Related Documentation
AI Dev Flow Framework
- SPEC_DRIVEN_DEVELOPMENT_GUIDE.md - Specification-driven development methodology
- ID_NAMING_STANDARDS.md - Document ID conventions
- TOOL_OPTIMIZATION_GUIDE.md - Token limits and optimization
Related Skills
- project-mngt - Use for requirement-based planning (BRD/PRD → MVP)
- doc-flow - Use for generating SYS/REQ/SPEC documents from ADRs
- charts-flow - Use for enhanced Mermaid diagram generation
ADR Documentation
- ADR-TEMPLATE.md - ADR template structure
- README.md - ADR documentation guide
Related Skills
Use project-mngt Skill Instead When:
- Planning from business/product requirements (BRD/PRD), not architectural decisions
- Defining MVP/MMP/MMR scope before technical design
- No ADRs exist yet (requirements → ADRs workflow)
- Need product roadmap vs. implementation roadmap
Use doc-flow Skill Instead When:
- Generating SYS/REQ/SPEC documents from ADRs
- Creating detailed specification artifacts
- Not focused on implementation phasing or timeline
- Need traceability matrix generation
Combine adr-roadmap + charts-flow When:
- Need enhanced visualizations beyond standard Mermaid
- Want architecture diagrams alongside roadmap
- Require multiple diagram types (sequence, C4, state machines)
Combine adr-roadmap + project-mngt When:
- Have both requirements (BRD/PRD) and architectural decisions (ADR)
- Need to align product roadmap with implementation roadmap
- Want to map features to ADR phases
Version
- Version: 1.0.0
- Last Updated: 2025-01-08
- Created: 2025-01-08
- Author: AI Dev Flow Framework
- Status: Active
Changelog
| Version | Date | Changes |
|---|---|---|
| 1.0.0 | 2025-01-08 | Initial skill creation with comprehensive methodology |
End of Skill Definition