learning-feasibility-study
SKILL.md
Learning Feasibility Study
Evaluate whether a learning project is feasible given constraints and resources.
When to Use
- Before major learning initiatives
- Resource allocation decisions
- Risk assessment
- Go/no-go decisions
- Pilot program planning
Feasibility Dimensions
1. Technical Feasibility
- Platform/technology capabilities
- Content production capacity
- Technical infrastructure
- Integration requirements
2. Financial Feasibility
- Development costs
- Delivery costs
- Ongoing maintenance
- Revenue potential / ROI
3. Operational Feasibility
- Team capacity and skills
- Timeline realism
- Scalability analysis
- Support requirements
4. Organizational Feasibility
- Stakeholder buy-in
- Change management needs
- Cultural fit
- Competing priorities
CLI Interface
/learning.feasibility-study --project "enterprise LMS implementation" --budget "500k" --timeline "6 months"
/learning.feasibility-study --quick-assessment --scope "online MBA program"
Output
- Feasibility report (Go/No-Go/Conditional)
- Resource requirements
- Risk register
- Implementation roadmap
Composition
Input from: /learning.needs-analysis, /learning.market-research
Output to: Project planning, stakeholder decision
Exit Codes
- 0: Study complete
- 1: Insufficient information
- 2: Invalid parameters
Weekly Installs
12
Repository
pauljbernard/contentGitHub Stars
1
First Seen
Jan 24, 2026
Security Audits
Installed on
claude-code8
github-copilot7
codex7
gemini-cli7
cursor7
opencode7