agentleFS
lilangMaxlilangMax/ClaudeCodeGameStudios/.claude/skills/estimate/SKILL.md

estimate

Skill8 starsChanged 7 months agoMITView on GitHub

Estimates task effort by analyzing complexity, dependencies, historical velocity, and risk factors. Produces a structured estimate with confidence levels.

We split this skill into the rules it gives an agent

9 rules. 0 are common, 5 are distinctive, and 4 are very specific to this project.

  • 0

    Common

    Most of the 24 edited versions we read keep these.

  • 5

    Distinctive

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Read the task description from the argument.

    line 11
  2. Distinctive:

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

    line 13
  3. Very specific:

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

    line 15
  4. Distinctive:

    Check for existing test coverage in the affected areas

    line 25
  5. Very specific:

    Read past sprint data from production/sprints/ for similar completed tasks and historical velocity

    line 26
  6. Very specific:

    If confidence is Low: recommend a time-boxed spike (/prototype) before committing.

    line 122
  7. Very specific:

    If the task is > 10 days: recommend breaking it into smaller stories via /create-stories.

    line 123
  8. Distinctive:

    Always give a range (optimistic / expected / pessimistic), never a single number

    line 128
  9. Distinctive:

    Do not pad estimates silently — call out risk explicitly so the team can decide

    line 131

“Common” is measured: kept by at least 6 in 10 of the 24 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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

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