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Claude-skill-registry learning-feasibility-study

Assess technical, financial, operational, and organizational feasibility of learning projects including resource requirements, budget, timeline, and risk analysis. Use when evaluating project viability before committing resources. Activates on "feasibility study", "project viability", "resource planning", or "can we do this".

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/learning-feasibility-study" ~/.claude/skills/majiayu000-claude-skill-registry-learning-feasibility-study && rm -rf "$T"
manifest: skills/data/learning-feasibility-study/SKILL.md
tags
#feasibility#risk-assessment#project-planning#resource-allocation#budgeting#analysis
source content

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