Estimate
Skill viknesh20-20/claude-code-tool-kit/.claude/skills/estimate
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Analyzes a task or GitHub issue and provides effort estimation broken into subtasks with T-shirt sizing, risk assessment, and dependency mapping. Use for sprint planning or before committing to deadlines.
SKILL.md
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Effort Estimation
Context
!gh issue view $1 2>/dev/null || echo "Provide a task description or issue number"
Estimation Process
Step 1: Scope Analysis
- Read the task/issue description carefully
- Search the codebase to understand current state
- Identify all files, modules, and systems that would be affected
- Check for existing implementations that can be reused
Step 2: Task Breakdown
Decompose the work into subtasks. For each subtask:
| Subtask | Files Affected | Size | Confidence |
|---|---|---|---|
| ... | ... | S/M/L/XL | High/Med/Low |
Size Guide:
- S (Small): < 2 hours — single file change, straightforward logic
- M (Medium): 2-6 hours — multiple files, some complexity, needs tests
- L (Large): 1-2 days — cross-module changes, new patterns, significant testing
- XL (Extra Large): 3-5 days — architectural changes, new infrastructure, coordination needed
Step 3: Risk Assessment
Identify risks that could expand the estimate:
| Risk | Probability | Impact | Mitigation |
|---|---|---|---|
| ... | High/Med/Low | +S/+M/+L | ... |
Common risks:
- Unclear requirements → ask clarifying questions first
- Legacy code with no tests → add time for writing tests
- External dependencies → add time for integration
- Database migrations → add time for rollback planning
- API changes → add time for consumer coordination
Step 4: Dependencies
List any blockers or prerequisites:
- Other issues that must be completed first
- External services or APIs that must be available
- Team members who need to be consulted
- Infrastructure or access requirements
Step 5: Total Estimate
| Scenario | Estimate | Assumption |
|---|---|---|
| Best case | ... | Everything goes smoothly, no surprises |
| Likely case | ... | Normal amount of debugging and iteration |
| Worst case | ... | Major risks materialize |
Rules
- Be honest — over-optimistic estimates hurt more than conservative ones
- Include testing and review time in estimates
- Flag any assumptions you're making
- If the task is too vague to estimate, say so and list the questions that need answers