nitish-r-g/skills-i-use/estimate

Phase 1: Understand the Task

Read the task description from the argument. If the description is too vague to estimate meaningfully, ask for clarification before proceeding.

Read CLAUDE.md for project context: tech stack, coding standards, architectural patterns, and any estimation guidelines.

Read relevant design documents from design/gdd/ if the task relates to a documented feature or system.

Phase 2: Scan Affected Code

Identify files and modules that would need to change:

• Assess complexity (size, dependency count, cyclomatic complexity)
• Identify integration points with other systems
• Check for existing test coverage in the affected areas
• Read past sprint data from production/sprints/ for similar completed tasks and historical velocity

Phase 3: Analyze Complexity Factors

Code Complexity:

• Lines of code in affected files
• Number of dependencies and coupling level
• Whether this touches core/engine code vs leaf/feature code
• Whether existing patterns can be followed or new patterns are needed

Scope:

• Number of systems touched
• New code vs modification of existing code
• Amount of new test coverage required
• Data migration or configuration changes needed

Risk:

• New technology or unfamiliar libraries
• Unclear or ambiguous requirements
• Dependencies on unfinished work
• Cross-system integration complexity
• Performance sensitivity

Phase 4: Generate the Estimate

## Task Estimate: [Task Name]
Generated: [Date]
 
### Task Description
[Restate the task clearly in 1-2 sentences]
 
### Complexity Assessment
 
| Factor | Assessment | Notes |
|--------|-----------|-------|
| Systems affected | [List] | [Core, gameplay, UI, etc.] |
| Files likely modified | [Count] | [Key files listed below] |
| New code vs modification | [Ratio] | |
| Integration points | [Count] | [Which systems interact] |
| Test coverage needed | [Low / Medium / High] | |
| Existing patterns available | [Yes / Partial / No] | |
 
**Key files likely affected:**
-`[path/to/file1]` -- [what changes here]
 
### Effort Estimate
 
| Scenario | Days | Assumption |
|----------|------|------------|
| Optimistic | [X] | Everything goes right, no surprises |
| Expected | [Y] | Normal pace, minor issues, one round of review |
| Pessimistic | [Z] | Significant unknowns surface, blocked for a day |
 
**Recommended budget: [Y days]**
 
### Confidence: [High / Medium / Low]
 
[Explain which factors drive the confidence level for this specific task.]
 
### Risk Factors
 
| Risk | Likelihood | Impact | Mitigation |
|------|-----------|--------|------------|
 
### Dependencies
 
| Dependency | Status | Impact if Delayed |
|-----------|--------|-------------------|
 
### Suggested Breakdown
 
| # | Sub-task | Estimate | Notes |
|---|----------|----------|-------|
| 1 | [Research / spike] | [X days] | |
| 2 | [Core implementation] | [X days] | |
| 3 | [Testing and validation] | [X days] | |
| | **Total** | **[Y days]** | |
 
### Notes and Assumptions
-[Key assumption that affects the estimate]
-[Any caveats about scope boundaries]

Output the estimate with a brief summary: recommended budget, confidence level, and the single biggest risk factor.

This skill is read-only — no files are written. Verdict: COMPLETE — estimate generated.

Phase 5: Next Steps

• If confidence is Low: recommend a time-boxed spike (/prototype) before committing.
• If the task is > 10 days: recommend breaking it into smaller stories via /create-stories.
• To schedule the task: run /sprint-plan update to add it to the next sprint.

Guidelines

• Always give a range (optimistic / expected / pessimistic), never a single number
• The recommended budget should be the expected estimate, not the optimistic one
• Round to half-day increments — estimating in hours implies false precision for tasks longer than a day
• Do not pad estimates silently — call out risk explicitly so the team can decide