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viknesh20-20viknesh20-20/claude-code-tool-kit/.claude/skills/estimate/SKILL.md

estimate

Skill7 starsChanged 7 months agoMITView on GitHub

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.

28 other projects use a version of this.

Adopted by

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Used with

Projects with it also use team-audio, playtest-report and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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  • +3 more from CoralGame
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The file

We split this skill into the rules it gives an agent

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

  • 0

    Common

    Most of the 25 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Read the task/issue description carefully

    line 18
  2. Distinctive:

    Search the codebase to understand current state

    line 19
  3. Distinctive:

    Check for existing implementations that can be reused

    line 21
  4. Distinctive:

    If the task is too vague to estimate, say so and list the questions that need answers

    line 71

“Common” is measured: kept by at least 6 in 10 of the 25 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

Effort Estimation

Context

!gh issue view $1 2>/dev/null || echo "Provide a task description or issue number"


Estimation Process

Step 1: Scope Analysis

  1. Read the task/issue description carefully
  2. Search the codebase to understand current state
  3. Identify all files, modules, and systems that would be affected
  4. Check for existing implementations that can be reused

Step 2: Task Breakdown

Decompose the work into subtasks. For each subtask:

SubtaskFiles AffectedSizeConfidence
......S/M/L/XLHigh/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:

RiskProbabilityImpactMitigation
...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

ScenarioEstimateAssumption
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

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