A skill your agent uses when 用户需要编写产品需求文档、整理功能需求、拆解 GitHub Issues 或制定实施计划时。触发场景:写PRD、产品需求、需求文档、prd、需求分析、功能设计、产品设计、需求评审、需求拆解、issue拆解、帮我写需求、整理功能点、我有个想法要落地、新功能规划。

MITAuto-check passedProduct & Project Management

Install Prd Engineer

skills CLI
$ npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill prd-engineer -a claude-code

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

GitHub CLI
$ gh skill install ProgrammerAnthony/Expert-Coding-Harness prd-engineer --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/ProgrammerAnthony/Expert-Coding-Harness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/prd-engineer .claude/skills/prd-engineer && 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
prd-engineer
GitHub stars
235
Token cost
~624 tokens
SKILL.md length
162 words
Files
5 (incl. references)
Skills in repo
23
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when 用户需要编写产品需求文档、整理功能需求、拆解 GitHub Issues 或制定实施计划时。触发场景:写PRD、产品需求、需求文档、prd、需求分析、功能设计、产品设计、需求评审、需求拆解、issue拆解、帮我写需求、整理功能点、我有个想法要落地、新功能规划。

  • 用户需要编写产品需求文档、整理功能需求、拆解 GitHub Issues 或制定实施计划时。触发场景:写PRD、产品需求、需求文档、prd、需求分析、功能设计、产品设计、需求评审、需求拆解、issue拆解、帮我写需求、整理功能点、我有个想法要落地、新功能规划
  • SKILL.md covers 模式选择, 工作流, PRD 质量检查 and 红旗警告:当你想跳过访谈直接写 PRD 时, plus 1 more section
  • Calls rg
  • Tasks that involve PRD writing

What it does

Prd Engineer is an agent skill from ProgrammerAnthony/Expert-Coding-Harness. Use when 用户需要编写产品需求文档、整理功能需求、拆解 GitHub Issues 或制定实施计划时。触发场景:写PRD、产品需求、需求文档、prd、需求分析、功能设计、产品设计、需求评审、需求拆解、issue拆解、帮我写需求、整理功能点、我有个想法要落地、新功能规划。

Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `README.md`, `references/issue-breakdown-guide.md` and `references/prd-template.md`).

It sits in Product & Project Management, covering PRD writing. It works with GitHub. The repository describes itself as: 生产级 AI Agent 技能集,辅助AI Harness应用于企业开发,覆盖代码审查、代码安全审计、TDD、需求工程、实施计划与子代理编排、架构设计、调试、前端开发与技能创建全流程。 The licence is MIT.

When your agent uses it

  • 用户需要编写产品需求文档、整理功能需求、拆解 GitHub Issues 或制定实施计划时。触发场景:写PRD、产品需求、需求文档、prd、需求分析、功能设计、产品设计、需求评审、需求拆解、issue拆解、帮我写需求、整理功能点、我有个想法要落地、新功能规划
  • Tasks that involve PRD writing

Example prompts

  • “/prd-engineer”

What it can do on your machine

Read from SKILL.md and the folder at commit ab0b827. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • rg

    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

Prd Engineer loads about 624 tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 38 tokens; SKILL.md has 162 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~624
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.1k

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 ProgrammerAnthony/Expert-Coding-Harness at commit ab0b827, republished under its MIT licence (© ProgrammerAnthony). 162 words, ~624 tokens.

Download SKILL.mdSave it as .claude/skills/prd-engineer/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
prd-engineer
description
Use when 用户需要编写产品需求文档、整理功能需求、拆解 GitHub Issues 或制定实施计划时。触发场景:写PRD、产品需求、需求文档、prd、需求分析、功能设计、产品设计、需求评审、需求拆解、issue拆解、帮我写需求、整理功能点、我有个想法要落地、新功能规划。

需求工程师

铁律:PRD 不写具体实现代码。描述"做什么"和"为什么",而非"怎么做"。实施决策留给开发者。

<HARD-GATE>
在完成**阶段一(问题理解与背景探索)**和至少**2 轮迭代访谈**之前,禁止开始编写 PRD 正文内容。
直接根据用户第一条描述就写 PRD 是最常见的质量问题来源。
</HARD-GATE>

模式选择

启动时询问用户选择模式:

请选择工作模式:
1. 仅写 PRD — 输出产品需求文档
2. PRD + Issues — 文档 + GitHub Issues 拆解
3. 完整模式 — 文档 + Issues + 实施计划(最详细)

工作流

阶段一:问题理解与背景探索

Step 1.1:初始问卷

以下问题按重要性逐步询问(不要一次性全问):

优先问(必须回答):

  • "这个功能要解决什么用户痛点?"
  • "目标用户是谁?他们目前怎么解决这个问题?"
  • "这个功能对你来说最重要的成功指标是什么?"

按需追问:

  • "有没有竞品做了类似的事情?你希望借鉴还是差异化?"
  • "这个功能有什么是不做的范围(Out of Scope)?"
  • "有没有已知的技术约束或依赖?"

Step 1.2:探索代码库(如果有相关代码)

bash
# 了解现有相关模块
rg "相关关键词" --type py --type ts -l
# 查看相关文件的接口
cat relevant_file.py | head -100

识别:现有的接口契约、数据模型、相关业务逻辑。

阶段二:迭代访谈

用苏格拉底式提问帮助用户厘清需求(每轮问 1-2 个问题):

  • 追问边界条件:"如果用户在 [异常场景] 下会发生什么?"
  • 追问优先级:"[功能A] 和 [功能B] 如果只能做一个,你会选哪个?"
  • 追问可测试性:"我们怎么知道这个功能成功了?"
  • 追问约束:"有没有时间、资源、技术方面的硬约束?"

经过 2-3 轮迭代,需求应该足够清晰。

阶段三:PRD 编写

加载 references/prd-template.md,填充以下内容:

必须包含:

  • 问题陈述(用户的真实痛点)
  • 解决方案(高层次描述)
  • 用户故事(具体场景,含边界情况)
  • 验收标准(可测试的通过条件)
  • 超出范围(Out of Scope)

不得包含:

  • 具体的函数名、类名、数据库字段
  • 实现算法或代码片段
  • 技术选型决策(除非有明确业务原因)

将 PRD 草稿分节展示给用户确认,每节得到批准再继续。

阶段四:Issues 拆解(模式 2/3)

加载 references/issue-breakdown-guide.md。

将 PRD 中的用户故事拆解为 GitHub Issues:

Issue 粒度原则:

  • 每个 Issue 可以独立实现和测试
  • 预估工作量 2-5 天(过大则拆分)
  • 明确定义 Done(完成标准)

Issue 类型:

  • feat: 新功能
  • test: 测试覆盖
  • docs: 文档
  • refactor: 重构(如有必要)
阶段五:实施计划(仅模式 3)

加载 references/user-story-guide.md 中的实施规划部分。

输出:

  • Issue 依赖关系图(哪些必须先做)
  • 建议的迭代划分(按 Sprint/里程碑)
  • 关键决策点(需要团队讨论的技术选型)
  • 风险识别

PRD 质量检查

提交前检查:

  • 每个用户故事是否有清晰的"作为…我想要…以便…"格式?
  • 是否涵盖了错误路径和边界条件?
  • 验收标准是否可测试(能判断是否完成)?
  • 是否说明了"为什么"(业务价值)而不只是"做什么"?
  • Out of Scope 是否明确?
  • 是否对当前代码库中的现有行为有影响(如有,是否说明)?

红旗警告:当你想跳过访谈直接写 PRD 时

遇到以下想法,立刻停下——没有经过迭代访谈的 PRD 是不合格的:

借口现实
"用户描述得很详细,直接写就行"详细描述 ≠ 需求已完整。边界条件、错误路径、Out of Scope 都需要通过问题确认。
"我帮用户假设一下这个边界情况"假设需求会导致 PRD 偏离用户真实意图,后续返工成本极高。
"PRD 里写一些实现细节让开发更清楚"PRD 描述"做什么"和"为什么",绝不写"怎么做"。实现决策属于开发阶段。
"访谈太耗时,用户只是想要一个文档"没有访谈的 PRD 是猜测文档,不是需求文档。2-3 轮提问是最低要求。
"Issue 粒度大一点,开发自己拆"过大的 Issue 无法独立测试和交付,会成为项目管理的噩梦。

参考资源

  • references/prd-template.md — PRD 标准模板
  • references/user-story-guide.md — 用户故事编写指南
  • references/issue-breakdown-guide.md — Issues 拆解指南

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

Files

SKILL.md and 4 other files (references) in skills/prd-engineer of ProgrammerAnthony/Expert-Coding-Harness.

  • SKILL.md
  • README.md
  • references/issue-breakdown-guide.md
  • references/prd-template.md
  • references/user-story-guide.md

Open the folder on GitHubat commit ab0b827

Compare with similar skills

Prd Engineer 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.

Prd Engineer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Prd Engineer this skillProgrammerAnthony/Expert-Coding-Harness235—~624Automated safety check: PassMIT
CCPM Project Managementautomazeio/ccpm8.4k—~1.1kAutomated safety check: PassMIT
Ouroboros PM InterviewQ00/ouroboros6.2k—~5.7kAutomated safety check: PassMIT
To Issuessmallnest/pigo474—~1.9kAutomated safety check: PassMIT
Write A Prdbestofjs/bestofjs3.1k1 repos~722Automated safety check: PassMIT
Write Update Tidb Docspingcap/docs616—~2.3kAutomated safety check: PassCustom licence

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Works with

Questions about Prd Engineer

What does Prd Engineer do?

A skill your agent uses when 用户需要编写产品需求文档、整理功能需求、拆解 GitHub Issues 或制定实施计划时。触发场景:写PRD、产品需求、需求文档、prd、需求分析、功能设计、产品设计、需求评审、需求拆解、issue拆解、帮我写需求、整理功能点、我有个想法要落地、新功能规划。. Prd Engineer is an agent skill from ProgrammerAnthony/Expert-Coding-Harness.

When should I use Prd Engineer?

Prd Engineer fits situations like: 用户需要编写产品需求文档、整理功能需求、拆解 GitHub Issues 或制定实施计划时。触发场景:写PRD、产品需求、需求文档、prd、需求分析、功能设计、产品设计、需求评审、需求拆解、issue拆解、帮我写需求、整理功能点、我有个想法要落地、新功能规划; tasks that involve PRD writing.

How do I install Prd Engineer in Claude Code?

Run `npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill prd-engineer -a claude-code`. Or copy the skill folder (skills/prd-engineer in ProgrammerAnthony/Expert-Coding-Harness) into .claude/skills/prd-engineer in your project. Claude Code loads it when a task matches its description.

How do I install Prd Engineer in Codex?

Run `npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill prd-engineer -a codex`. Or copy the skill folder (skills/prd-engineer in ProgrammerAnthony/Expert-Coding-Harness) into .agents/skills/prd-engineer in your project. Codex loads it when a task matches its description.

Can I use Prd Engineer 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 ProgrammerAnthony/Expert-Coding-Harness --skill prd-engineer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prd-engineer, .gemini/skills/prd-engineer, .github/skills/prd-engineer and .opencode/skills/prd-engineer in your project.

What does Prd Engineer need to run?

Going by SKILL.md and its folder, Prd Engineer needs the command-line tools its instructions call (rg).

Does Prd Engineer 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 Prd Engineer 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 Prd Engineer use?

Prd Engineer 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 Prd Engineer use?

About 624 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.5k tokens, read only when the agent opens those files.

What are the alternatives to Prd Engineer?

Skills that share tags, products or a category with Prd Engineer: CCPM Project Management (automazeio/ccpm, 8.4k stars), Ouroboros PM Interview (Q00/ouroboros, 6.2k stars), To Issues (smallnest/pigo, 474 stars) and Write A Prd (bestofjs/bestofjs, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prd Engineer?

ProgrammerAnthony (a GitHub user) maintains it in ProgrammerAnthony/Expert-Coding-Harness, which has 235 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on May 11, 2026.

Source: ProgrammerAnthony/Expert-Coding-Harness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.