通过分析复杂度、依赖关系、历史速度和风险因素来估算任务工作量。生成包含置信水平的结构化估算. An agent skill from pixel-cellar/Claude-Code-Game-Studios.

MITAuto-check passed

Install Estimate

skills CLI
$ npx skills add pixel-cellar/Claude-Code-Game-Studios --skill estimate -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install pixel-cellar/Claude-Code-Game-Studios estimate --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/pixel-cellar/Claude-Code-Game-Studios.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/estimate .claude/skills/estimate && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
estimate
GitHub stars
342
Token cost
~751 tokens
SKILL.md length
64 words
Files
1
Skills in repo
23
Repo updated
First seen
Licence
MIT

At a glance

通过分析复杂度、依赖关系、历史速度和风险因素来估算任务工作量。生成包含置信水平的结构化估算. An agent skill from pixel-cellar/Claude-Code-Game-Studios.

  • Works in 8 steps: 读取任务描述,来自参数。如果描述过于模糊以至于无法进行有意义的估算,请在继续之前要… → 读取 CLAUDE.md… → 读取相关设计文档,来自 design/gdd/,如果任务与已记录的功能或系统相关。 → …
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Estimate is an agent skill from pixel-cellar/Claude-Code-Game-Studios. 通过分析复杂度、依赖关系、历史速度和风险因素来估算任务工作量。生成包含置信水平的结构化估算。

Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 48 协同代理管理独立游戏开发的 Claude Code 架构 (中文本地化版本). The licence is MIT.

Example prompts

  • “/estimate”

Requirements

  • Pre-approved tools (allowed-tools): Read, Glob, Grep

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. 读取任务描述,来自参数。如果描述过于模糊以至于无法进行有意义的估算,请在继续之前要求澄清。
  2. 读取 CLAUDE.md 获取项目上下文:技术栈、编码标准、架构模式以及任何估算指南。
  3. 读取相关设计文档,来自 design/gdd/,如果任务与已记录的功能或系统相关。
  4. 扫描代码库,了解此任务影响的系统
  5. 读取过去的冲刺数据,来自 production/sprints/(如果可用)
  6. 分析以下因素
  7. 生成估算
  8. 向用户输出估算,附带简短摘要:建议预算、置信水平和最大的单个风险因素。

What it can do on your machine

Read from SKILL.md and the folder at commit 2c016ef. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Estimate loads about 751 tokens when it runs. Until then it costs about 14 tokens; SKILL.md has 64 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~14
When it runs · the whole SKILL.md, loaded when a task matches
~751

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from pixel-cellar/Claude-Code-Game-Studios at commit 2c016ef, republished under its MIT licence (© pixel-cellar). 64 words, ~751 tokens.

Download SKILL.mdSave it as .claude/skills/estimate/SKILL.md (or your agent's skills folder).
name
estimate
description
通过分析复杂度、依赖关系、历史速度和风险因素来估算任务工作量。生成包含置信水平的结构化估算。
allowed-tools
Read, Glob, Grep
argument-hint
[任务描述]
user-invocable
true

当此技能被调用时:

  1. 读取任务描述,来自参数。如果描述过于模糊以至于无法进行有意义的估算,请在继续之前要求澄清。

  2. 读取 CLAUDE.md 获取项目上下文:技术栈、编码标准、架构模式以及任何估算指南。

  3. 读取相关设计文档,来自 design/gdd/,如果任务与已记录的功能或系统相关。

  4. 扫描代码库,了解此任务影响的系统:

    • 识别需要变更的文件和模块
    • 评估这些文件的复杂度(大小、依赖数量、圈复杂度(Cyclomatic Complexity))
    • 识别与其他系统的集成点
    • 检查受影响区域的现有测试覆盖率
  5. 读取过去的冲刺数据,来自 production/sprints/(如果可用):

    • 查找类似的已完成任务及其实际工作量
    • 计算历史速度(计划 vs 实际)
    • 识别任何估算偏差模式(持续高估或低估)
  6. 分析以下因素:

    代码复杂度:

    • 受影响文件的代码行数
    • 依赖数量和耦合程度
    • 是否涉及核心/引擎代码 vs 叶节点/功能代码
    • 是否可以遵循现有模式,还是需要新模式

    范围:

    • 涉及的系统数量
    • 新代码 vs 修改现有代码的比例
    • 需要的新测试覆盖量
    • 需要的数据迁移或配置变更

    风险:

    • 新技术或不熟悉的库
    • 不明确或模糊的需求
    • 对未完成工作的依赖
    • 跨系统集成复杂度
    • 性能敏感度
  7. 生成估算:

markdown
## 任务估算:[任务名称]
生成时间:[日期]

### 任务描述
[用 1-2 句话清楚地重述任务]

### 复杂度评估

| 因素 | 评估 | 备注 |
|--------|-----------|-------|
| 受影响系统 | [列表] | [核心、玩法、UI 等] |
| 可能修改的文件 | [数量] | [关键文件列在下方] |
| 新代码 vs 修改 | [比例,如 70% 新代码 / 30% 修改] | |
| 集成点 | [数量] | [哪些系统交互] |
| 需要的测试覆盖 | [低 / 中 / 高] | [单元测试、集成测试、手动测试] |
| 可用的现有模式 | [有 / 部分有 / 无] | [可遵循现有代码还是需要新探索] |

**可能受影响的关键文件:**
- `[path/to/file1]` -- [这里的变更内容]
- `[path/to/file2]` -- [这里的变更内容]
- `[path/to/file3]` -- [这里的变更内容]

### 工作量估算

| 场景 | 天数 | 假设条件 |
|----------|------|------------|
| 乐观 | [X] | 一切顺利,没有意外,需求明确 |
| 预期 | [Y] | 正常节奏,有少量问题,一轮审查反馈 |
| 悲观 | [Z] | 出现重大未知因素,被阻塞一天,需求变更 |

**建议预算:[Y 天]**

[如果有历史数据:"基于 [N] 个类似任务的平均实际 [X] 天 vs 预估 [Y] 天,已应用 [校正因子] 的调整。"]

### 置信水平:[高 / 中 / 低]

**高** -- 需求明确,系统熟悉,遵循现有模式,之前完成过类似任务。

**中** -- 存在一些未知因素,涉及中等复杂度的系统,有之前工作的部分先例。

**低** -- 存在重大未知因素,新技术,需求不明确,或涉及跨多个系统的横切关注点。

[说明哪些因素决定了此特定任务的置信水平。]

### 风险因素

| 风险 | 可能性 | 影响 | 缓解措施 |
|------|-----------|--------|------------|
| [具体风险] | [高/中/低] | [如果发生则增加的天数] | [如何降低风险] |
| [另一个风险] | [可能性] | [影响] | [缓解措施] |

### 依赖关系

| 依赖项 | 状态 | 延迟时的影响 |
|-----------|--------|-------------------|
| [必须先完成的工作] | [已完成 / 进行中 / 未开始] | [如何影响此任务] |

### 建议拆分

| # | 子任务 | 估算 | 备注 |
|---|----------|----------|-------|
| 1 | [调研 / 探索性实验(spike)] | [X 天] | [如果未知因素需要先调查] |
| 2 | [核心实现] | [X 天] | [主要工作] |
| 3 | [与系统 X 的集成] | [X 天] | [连接到现有代码] |
| 4 | [测试和验证] | [X 天] | [编写测试、手动验证] |
| 5 | [代码审查和迭代] | [X 天] | [审查反馈、修复] |
| | **合计** | **[Y 天]** | |

### 历史对比
[如果冲刺历史中存在类似任务:]

| 类似任务 | 预估 | 实际 | 相关差异 |
|-------------|-----------|--------|-------------------|
| [过去的任务 1] | [X 天] | [Y 天] | [使其相似/不同的原因] |
| [过去的任务 2] | [X 天] | [Y 天] | [使其相似/不同的原因] |

### 备注与假设
- [影响估算的关键假设]
- [另一个假设]
- [关于范围边界的任何注意事项 -- 包含什么 vs 排除什么]
- [建议:例如,"如果需求 X 不明确,建议先进行探索性实验"]
  1. 向用户输出估算,附带简短摘要:建议预算、置信水平和最大的单个风险因素。
指南
  • 始终给出一个范围(乐观 / 预期 / 悲观),绝不要只给出一个数字。单点估算会造成虚假精确的错觉。
  • 建议预算应为预期估算,而非乐观估算。留有余地并非不诚实 —— 这是务实的做法。
  • 如果置信水平为低,建议在进行完整估算之前先进行限时探索性实验(spike)或原型验证。
  • 明确说明包含和排除的内容。范围模糊是估算错误最常见的原因。
  • 以半天为单位取整。对于超过一天的任务,以小时为单位估算会产生虚假精确的错觉。
  • 如果任务太大无法自信估算(预期超过 10 天),建议将其拆分为更小的子任务并逐一估算。
  • 不要暗中增加估算缓冲。如果存在风险,请在风险因素部分明确指出,以便团队决定如何应对。

© pixel-cellar, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/estimate of pixel-cellar/Claude-Code-Game-Studios.

Open the folder on GitHubat commit 2c016ef

Compare with similar skills

Estimate next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Estimate compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Estimate this skillpixel-cellar/Claude-Code-Game-Studios342—~751Automated safety check: PassMIT
Task Effort EstimatorDonchitos/Claude-Code-Game-Studios26k—~1.2kAutomated safety check: PassMIT
Progressive Estimationsickn33/agentic-awesome-skills47k2 repos~863Automated safety check: PassMIT
Estimate Analysishimself65/finance-skills3.4k—~1.8kAutomated safety check: PassMIT
Iv Estimationbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~1.8kAutomated safety check: PassCustom licence
Bayesian Estimationbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~3.4kAutomated safety check: PassCustom licence

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Questions about Estimate

What does Estimate do?

通过分析复杂度、依赖关系、历史速度和风险因素来估算任务工作量。生成包含置信水平的结构化估算. An agent skill from pixel-cellar/Claude-Code-Game-Studios. Estimate is an agent skill from pixel-cellar/Claude-Code-Game-Studios.

How do I install Estimate in Claude Code?

Run `npx skills add pixel-cellar/Claude-Code-Game-Studios --skill estimate -a claude-code`. Or copy the skill folder (.claude/skills/estimate in pixel-cellar/Claude-Code-Game-Studios) into .claude/skills/estimate in your project. Claude Code loads it when a task matches its description.

How do I install Estimate in Codex?

Run `npx skills add pixel-cellar/Claude-Code-Game-Studios --skill estimate -a codex`. Or copy the skill folder (.claude/skills/estimate in pixel-cellar/Claude-Code-Game-Studios) into .agents/skills/estimate in your project. Codex loads it when a task matches its description.

Can I use Estimate in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add pixel-cellar/Claude-Code-Game-Studios --skill estimate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/estimate, .gemini/skills/estimate, .github/skills/estimate and .opencode/skills/estimate in your project.

What does Estimate need to run?

SKILL.md names no scripts, command-line tools or credentials: Estimate is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep.

Does Estimate access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Estimate safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Estimate use?

Estimate is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Estimate use?

About 751 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Estimate?

Skills that share tags, products or a category with Estimate: Task Effort Estimator (Donchitos/Claude-Code-Game-Studios, 26k stars), Progressive Estimation (sickn33/agentic-awesome-skills, 47k stars), Estimate Analysis (himself65/finance-skills, 3.4k stars) and Iv Estimation (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Estimate?

pixel-cellar (a GitHub organization) maintains it in pixel-cellar/Claude-Code-Game-Studios, which has 342 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on March 30, 2026.

Source: pixel-cellar/Claude-Code-Game-Studios on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.