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scotidevscotidev/GameDevStudio/.agents/skills/estimate/SKILL.md

estimate

Skill1 starsChanged 8 months agoMITView on GitHub

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

28 other projects use a version of this, 11 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use asset-spec, create-control-manifest and 5 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.
  • lilangMaxSkill

    asset-spec

    Generate per-asset visual specifications and AI generation prompts from GDDs, level docs, or character profiles. Produces structured spec files and updates the master asset manifest. Run after art bible and GDD/level design are approved, before production begins.

    Also in 10 projects that use this

  • lilangMaxSkill

    create-control-manifest

    After architecture is complete, produces a flat actionable rules sheet for programmers — what you must do, what you must never do, per system and per layer. Extracted from all Accepted ADRs, technical preferences, and engine reference docs. More immediately actionable than ADRs (which explain why).

    Also in 10 projects that use this

  • +5 more from lilangMax

The file

We split this skill into the rules it gives an agent

7 rules. 0 are common, 7 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 25 edited versions we read keep these.

  • 7

    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:

    When this skill is invoked:

    line 9
  2. Distinctive:

    Check for existing test coverage in the affected areas

    line 25
  3. Distinctive:

    Look for similar completed tasks and their actual effort

    line 28
  4. Distinctive:

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

    line 154
  5. Distinctive:

    If confidence is Low, recommend a time-boxed spike or prototype before committing to the full estimate.

    line 158
  6. Distinctive:

    If the task is too large to estimate confidently (more than 10 days expected), recommend breaking it into smaller tasks and estimating …

    line 164
  7. Distinctive:

    Do not pad estimates silently.

    line 167

“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

When this skill is invoked:

  1. Read the task description from the argument. If the description is too vague to estimate meaningfully, ask for clarification before proceeding.
  2. Read AGENTS.md for project context: tech stack, coding standards, architectural patterns, and any estimation guidelines.
  3. Read relevant design documents from design/gdd/ if the task relates to a documented feature or system.
  4. Scan the codebase to understand the systems affected by this task:
    • Identify files and modules that would need to change
    • Assess the complexity of those files (size, dependency count, cyclomatic complexity)
    • Identify integration points with other systems
    • Check for existing test coverage in the affected areas
  5. Read past sprint data from production/sprints/ if available:
    • Look for similar completed tasks and their actual effort
    • Calculate historical velocity (planned vs actual)
    • Identify any estimation bias patterns (consistently over or under)
  6. Analyze the following 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
  7. 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, e.g., 70% new / 30% modification] |                                          |
| Integration points          | [Count]                                   | [Which systems interact]                 |
| Test coverage needed        | [Low / Medium / High]                     | [Unit, integration, manual]              |
| Existing patterns available | [Yes / Partial / No]                      | [Can follow existing code or new ground] |

**Key files likely affected:**

- `[path/to/file1]` -- [what changes here]
- `[path/to/file2]` -- [what changes here]
- `[path/to/file3]` -- [what changes here]

### Effort Estimate

| Scenario    | Days | Assumption                                                           |
| ----------- | ---- | -------------------------------------------------------------------- |
| Optimistic  | [X]  | Everything goes right, no surprises, requirements are clear          |
| Expected    | [Y]  | Normal pace, minor issues, one round of review feedback              |
| Pessimistic | [Z]  | Significant unknowns surface, blocked for a day, requirements change |

**Recommended budget: [Y days]**

[If historical data is available: "Based on [N] similar tasks that averaged
[X] days actual vs [Y] days estimated, a [correction factor] adjustment has
been applied."]

### Confidence: [High / Medium / Low]

**High** -- Clear requirements, familiar systems, follows existing patterns,
similar tasks completed before.

**Medium** -- Some unknowns, touches moderately complex systems, partial
precedent from previous work.

**Low** -- Significant unknowns, new technology, unclear requirements, or
cross-cutting concerns across many systems.

[Explain which factors drive the confidence level for this specific task.]

### Risk Factors

| Risk            | Likelihood     | Impact                   | Mitigation      |
| --------------- | -------------- | ------------------------ | --------------- |
| [Specific risk] | [High/Med/Low] | [Days added if realized] | [How to reduce] |
| [Another risk]  | [Likelihood]   | [Impact]                 | [Mitigation]    |

### Dependencies

| Dependency                | Status                             | Impact if Delayed          |
| ------------------------- | ---------------------------------- | -------------------------- |
| [What must be done first] | [Done / In Progress / Not Started] | [How it affects this task] |

### Suggested Breakdown

| #   | Sub-task                    | Estimate     | Notes                                  |
| --- | --------------------------- | ------------ | -------------------------------------- |
| 1   | [Research / spike]          | [X days]     | [If unknowns need investigation first] |
| 2   | [Core implementation]       | [X days]     | [The main work]                        |
| 3   | [Integration with system X] | [X days]     | [Connecting to existing code]          |
| 4   | [Testing and validation]    | [X days]     | [Writing tests, manual verification]   |
| 5   | [Code review and iteration] | [X days]     | [Review feedback, fixes]               |
|     | **Total**                   | **[Y days]** |                                        |

### Historical Comparison

[If similar tasks exist in sprint history:]

| Similar Task  | Estimated | Actual   | Relevant Difference               |
| ------------- | --------- | -------- | --------------------------------- |
| [Past task 1] | [X days]  | [Y days] | [What makes it similar/different] |
| [Past task 2] | [X days]  | [Y days] | [What makes it similar/different] |

### Notes and Assumptions

- [Key assumption that affects the estimate]
- [Another assumption]
- [Any caveats about scope boundaries -- what is included vs excluded]
- [Recommendations: e.g., "Consider a spike first if requirement X is unclear"]
  1. Output the estimate to the user with a brief summary: recommended budget, confidence level, and the single biggest risk factor.

Guidelines

  • Always give a range (optimistic / expected / pessimistic), never a single number. Single-point estimates create false precision.
  • The recommended budget should be the expected estimate, not the optimistic one. Padding is not dishonest -- it is realistic.
  • If confidence is Low, recommend a time-boxed spike or prototype before committing to the full estimate.
  • Be explicit about what is included and excluded. Scope ambiguity is the most common source of estimation error.
  • Round to half-day increments. Estimating in hours implies false precision for tasks longer than a day.
  • If the task is too large to estimate confidently (more than 10 days expected), recommend breaking it into smaller tasks and estimating those individually.
  • Do not pad estimates silently. If risk exists, call it out explicitly in the risk factors section so the team can decide how to handle it.

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