pm-docs

pm-docs is a skill for Claude Code, Codex from konglong87/superPM. It costs 133 tokens per session (3,640 once invoked), scanned A, original, MIT.

A workflow for producing product documents such as PRDs, BRDs, and MRDs. These are structured documents describing what a product needs, its business case, and its market.

In plain words
What is it for?
Use it to create product requirements, business requirements, market requirements, or a combined set of these documents.
Why use it?
It checks that required earlier planning documents exist and match the product before generating new documents. This avoids creating detailed plans without the expected foundation.

Skill for Claude CodeCodex

Part of the superPM plugin — 55 skills, 1 hook shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/konglong87/superpm/pm-docs
Any agent
npx skills add konglong87/superPM --skill pm-docs
Clone the repo
git clone --depth 1 https://github.com/konglong87/superPM

Made for: Claude Code, Codex.

Or install superPM, the plugin that ships this one along with the rest of its 55 skills, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for pm-docs

README.md
[![agentmods](https://agentmods.dev/badge/skills/konglong87/superpm/pm-docs.svg)](https://agentmods.dev/skills/konglong87/superpm/pm-docs)
Your own site
<a href="https://agentmods.dev/skills/konglong87/superpm/pm-docs"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-docs.svg" alt="Measured on agentmods" height="20"></a>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,640 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00133 $0.03640
Opus 5 $0.00067 $0.01820
Sonnet 5 $0.00027 $0.00728
Haiku 4.5 $0.00013 $0.00364

Measured 3d ago against content hash 304bd1d6d9a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pm-docs scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/02-solution-design/pm-docs/SKILL.md · 495 lines

How it starts

The opening of the file, as written. The whole thing — 495 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Preamble (run first)

bash "$(dirname "${BASH_SOURCE[0]}")/../../check-update.sh" 2>/dev/null || true
# 创建方案设计目录
mkdir -p docs/02-方案设计

# 检查前置文档
echo "📊 正在检查前置文档..."

if [ -f "docs/01-需求调研/MVP方案.md" ]; then
  echo "✅ MVP方案 - 已找到"
else
  echo "⏳ MVP方案 - 未找到"
fi

if [ -f "docs/01-需求调研/需求调研报告.md" ]; then
  echo "✅ 需求调研报告 - 已找到"
else
  echo "⏳ 需求调研报告 - 未找到"
fi

if [ -f "docs/01-需求调研/市场调研报告.md" ]; then
  echo "✅ 市场调研报告 - 已找到"
else
  echo "⏳ 市场调研报告 - 未找到"
fi

前置门禁

无论从哪个入口进入,都必须执行前置文档检查:

  1. 检查 docs/01-需求调研/ 中是否有 MVP方案(黄金路径的必要前置)
  2. 如果有 MVP方案 → 读取文档,判断是否与当前用户描述的产品相关
    • 相关 → 前置已满足,继续执行
    • 不相关 → 停止,建议先完成前置流程
  3. 如果没有 MVP方案 → 停止,建议先执行 /pm-brainstorm/pm-demand/pm-mvp

不得在门禁不满足时生成文档。


跨 Agent 交互规则

当流程要求与用户交互时:

  1. 如果当前环境支持 AskUserQuestion,使用 AskUserQuestion(最佳体验)。
  2. 如果当前环境不支持 AskUserQuestion,必须用普通聊天消息提出同样问题。
  3. 一次只问一个问题。
  4. 提问后必须停止当前回合,等待用户回答(STOP and WAIT)。
  5. 不得在用户回答前生成文档、写入 docs。
  6. 已有 docs 文件不能替代本轮用户回答。

执行流程

步骤 1: 确定文档类型(主 agent - 用户交互)

使用 AskUserQuestion 询问:

您希望生成哪些文档?

A) 仅 PRD - 产品需求文档 B) 仅 BRD - 商业需求文档 C) 仅 MRD - 市场需求文档 D) PRD + BRD + MRD(全套文档,推荐) E) 让我推荐(根据项目状态自动选择)

💡 提示:选择"D"可并行生成全套文档,效率提升 3x

用户选择后,记录到变量 DOC_TYPES(数组)


步骤 2: 读取前置数据(主 agent)

读取所有可能需要的前置文档

# 主 agent 一次性读取所有前置文档
required_docs=(
  "docs/01-需求调研/MVP方案.md"
  "docs/01-需求调研/需求调研报告.md"
  "docs/01-需求调研/市场调研报告.md"
  "docs/01-需求调研/确认需求清单.md"
  "docs/01-需求调研/优先级排序报告.md"
)

for doc in "${required_docs[@]}"; do
  if [ -f "$doc" ]; then
    # 使用 Read 工具读取
    echo "读取 $doc"
  fi
done

构建上下文摘要(避免占用大量上下文):

提取关键信息:

  • 产品名称
  • 目标用户
  • 核心功能
  • MVP范围
  • 市场数据
  • 商业目标

将关键信息存储为结构化数据,准备传递给 subagent。


步骤 3: 并行派发 subagent 生成文档(核心优化)

优化说明

  • 主 agent 一次性派发多个 subagent
  • 每个 subagent 负责生成一个文档
  • 文档生成细节不占用主 agent 上下文
  • 所有文档并行生成

3.1 构建 subagent 任务

如果用户选择"全套文档"

准备 3 个并行 subagent 任务:

[
  {
    "task_id": "generate_prd",
    "doc_type": "PRD",
    "required_data": [
      "产品名称",
      "目标用户",
      "MVP功能列表",
      "用户需求",
      "优先级排序"
    ]
  },
  {
    "task_id": "generate_brd",
    "doc_type": "BRD",
    "required_data": [
      "产品名称",
      "商业模式",
      "市场数据",
      "成本分析",
      "盈利预测"
    ]
  },
  {
    "task_id": "generate_mrd",
    "doc_type": "MRD",
    "required_data": [
      "产品名称",
      "市场调研数据",
      "用户画像",
      "竞品分析",
      "市场机会"
    ]
  }
]

Read the full file on GitHub · 495 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 495 lines · 133 tokens per session scan A 304bd1d6d9a1

Subscribe to this mod's changes

pm-docs is a skill published in the GitHub repository konglong87/superPM (60 stars, last pushed 21d ago), licensed MIT. It adds 133 tokens to every session and 3,640 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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