Methodology Selection
Guide users through selecting and configuring development methodology for agent system
Methodology Selection Skill
Overview
This skill handles Phase 0.7 (Layer 3) of the onboarding process, where users select and configure the development methodology for their agent system.
Purpose
Guide users through selecting an appropriate development methodology that defines how work is organized, how agents coordinate, and what ceremonies/processes govern the project.
Trigger
- After principles are defined (or skipped in Quick mode)
- User mentions "methodology", "agile", "scrum", "kanban", "process"
- Explicit request to configure development workflow
Process
- Review the task requirements.
- Apply the skill's methodology.
- Validate the output against the defined criteria.
Step 1: Present Methodology Options
Based on project type and purpose, present options:
Let's define how your team works. Select a development methodology:
1. **Agile Scrum** [Recommended for: Product development, feature teams]
- Sprint-based iterations
- Defined roles (PO, Tech Lead, Developers, QA)
- Ceremonies: Standups, Planning, Review, Retro
2. **Kanban** [Recommended for: Support, maintenance, ops]
- Continuous flow with WIP limits
- Pull-based work selection
- Metrics: Lead time, cycle time, throughput
3. **Research & Development** [Recommended for: AI/ML, innovation, R&D]
- Experiment-based approach
- Knowledge mesh coordination
- Focus on learning and discovery
4. **Enterprise Integration** [Recommended for: Large-scale, compliance-driven]
- Formal architecture governance
- Milestone-based delivery
- Compliance and audit focus
Which methodology best fits your project?
Step 2: Confirm Based on Purpose
Validate choice against purpose:
You selected: {methodology}
Your purpose: {mission_statement}
Your stakeholders: {stakeholders}
This methodology emphasizes:
- {key_characteristics}
Alignment check:
✓ Supports your mission by: {alignment_explanation}
✓ Serves your stakeholders through: {stakeholder_benefit}
Does this feel right for your project?
Step 3: Customize Methodology
Based on team size and needs:
Let's customize {methodology} for your team.
Team size: [ ] 1-3 [ ] 4-6 [ ] 7-10 [ ] 10+
{If Agile Scrum}
Sprint length: [ ] 1 week [ ] 2 weeks [ ] 3 weeks
{End If}
{If Kanban}
WIP limits:
- In Progress: [3]
- Review: [2]
{End If}
{If R&D}
Exploration ratio: [70]% exploration, [30]% exploitation
{End If}
Step 4: Agent Role Mapping
Map methodology roles to Cursor agents:
Based on {methodology}, here's how agents can support each role:
{If Agile Scrum}
| Role | Agent Support |
||--|
| Product Owner | Documentation agent for user stories |
| Tech Lead | Code reviewer agent for oversight |
| Developer | Test generator, code assistant |
| QA | Test generator, security audit |
{End If}
{If R&D}
| Role | Agent Support |
||--|
| Research Lead | Explorer agent for literature |
| Scientists | Documentation agent for findings |
| Engineers | Code reviewer, test generator |
| Data Scientists | Code templates for analysis |
{End If}
Step 5: Generate Methodology Artifacts
Generate the methodology configuration:
# {directories.workflows}/methodology.yaml
metadata:
name: "{methodology_name}"
pattern: "{coordination_pattern}"
customized: true
configuration:
team_size: {team_size}
{methodology_specific_settings}
ceremonies:
{adapted_ceremonies}
quality_gates:
{quality_gates}
metrics:
{metrics_to_track}
Outputs
- Methodology Configuration -
{directories.workflows}/methodology.yaml - Agent Role Mapping - Recommendations for agent capabilities
- Ceremonies Schedule - For project planning
- Metrics Dashboard Config - What to track
Methodology Templates
Agile Scrum Defaults
methodology: agile-scrum
ceremonies:
daily_standup:
enabled: true
duration: 15_minutes
sprint_planning:
enabled: true
sprint_length: 2_weeks
sprint_review:
enabled: true
retrospective:
enabled: true
quality_gates:
peer_review: required
test_coverage: 80%
Kanban Defaults
methodology: kanban
board:
columns: [Backlog, Ready, In Progress, Review, Done]
wip_limits:
ready: 5
in_progress: 3
review: 2
metrics:
lead_time: tracked
cycle_time: tracked
throughput: tracked
R&D Defaults
methodology: research-development
exploration_ratio: 70
ceremonies:
research_seminars: weekly
experiment_reviews: bi_weekly
brainstorming: monthly
quality_gates:
reproducibility: required
peer_review: required
Enterprise Defaults
methodology: enterprise-integration
governance:
architecture_review_board: weekly
compliance_reviews: milestone_based
standards:
architecture: TOGAF
security: ISO_27001
Integration Points
- Input from: Purpose definition, optional principles
- Reads:
{directories.patterns}/methodologies/*.json - Outputs to:
{directories.workflows}/methodology.yaml, agent recommendations - Next phase: Technical configuration (Phases 1-5)
Recommendation Logic
def recommend_methodology(project_type, team_size, purpose):
if "AI" in project_type or "ML" in project_type or "research" in purpose.lower():
return "research-development"
elif team_size > 10 or "enterprise" in project_type.lower() or "compliance" in purpose.lower():
return "enterprise-integration"
elif "support" in purpose.lower() or "maintenance" in purpose.lower():
return "kanban"
else:
return "agile-scrum"
Best Practices
- Recommend based on project type and purpose
- Allow customization of team size and cadence
- Map roles to agent capabilities
- Show axiom alignment for chosen methodology
- Generate complete, ready-to-use configuration
When to Use
This skill should be used when strict adherence to the defined process is required.
Prerequisites
- Basic understanding of the agent factory context.
- Access to the necessary tools and resources.