pm-iteration

pm-iteration is a skill for Claude Code, Codex from konglong87/superPM. It costs 59 tokens per session (2,582 once invoked), scanned A, original, MIT.

A guided planning workflow for deciding what a product team should build in its next iteration, meaning a short development cycle.

In plain words
What is it for?
Use it to define iteration goals, collect related tasks, rank them by value and cost, and record the plan in project documents.
Why use it?
It turns data, feedback, business goals, and other inputs into a focused list of work with clear goals and priorities.

Skill for Claude CodeCodex

Part of the super-pm 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-iteration
Any agent
npx skills add konglong87/superPM --skill pm-iteration
Clone the repo
git clone --depth 1 https://github.com/konglong87/superPM

Made for: Claude Code, Codex.

Or install super-pm, 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-iteration

README.md
[![agentmods](https://agentmods.dev/badge/skills/konglong87/superpm/pm-iteration.svg)](https://agentmods.dev/skills/konglong87/superpm/pm-iteration)
Your own site
<a href="https://agentmods.dev/skills/konglong87/superpm/pm-iteration"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-iteration.svg" alt="Measured on agentmods" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,582 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 5.1 $0.00059 $0.02582
Opus 5 $0.00030 $0.01291
Sonnet 5 $0.00012 $0.00516
Haiku 4.5 $0.00006 $0.00258

Measured 5d ago against content hash be80416c62a2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

pm-iteration 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 5d 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/03-growth-iteration/pm-iteration/SKILL.md · 326 lines

How it starts

The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Preamble

bash "$(dirname "${BASH_SOURCE[0]}")/../../check-update.sh" 2>/dev/null || true
mkdir -p docs/03-增长迭代

echo "🔄 迭代计划工具已启动"

# 检查前置数据
echo "📊 正在检查前置数据..."
if [ -f "docs/03-增长迭代/数据报告与用户反馈.md" ]; then
  echo "✅ 数据报告 - 已找到"
fi
if [ -f "docs/03-增长迭代/产品路线图.md" ]; then
  echo "✅ 产品路线图 - 已找到"
fi

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: 确定迭代范围

使用 AskUserQuestion 询问:

📋 迭代规划

迭代编号:第X次迭代 迭代周期:建议2周

本次迭代的输入来源:

A) 数据分析结果(数据驱动优化) B) 用户反馈(用户需求驱动) C) 竞品分析(市场变化驱动) D) 技术优化(性能/架构提升) E) 业务目标(战略调整) F) 以上多项组合 G) 产品路线图拆解(从长期规划中提取)

💡 提示:建议每次迭代聚焦1-2个核心目标

记录到变量 ITERATION_INPUT


步骤 2: 设定迭代目标

🎯 设定迭代目标

本次迭代的核心目标是什么?(建议1-2个)

目标示例

  • 提升注册转化率至30%
  • 完成XX功能开发上线
  • 修复Top 5用户反馈问题

目标1:{目标描述} 目标2:{目标描述}

每个目标需要可衡量,如"将XX指标从X%提升到Y%"


步骤 3: 收集迭代需求

📝 本次迭代的需求清单:

请列出本次迭代需要完成的需求/任务(每个一行):

示例:

  • 优化注册流程(来源:数据驱动 - 注册转化率低)
  • 新增商品搜索功能(来源:用户反馈)
  • 修复首页加载慢问题(来源:技术优化)

输入"完成"结束录入

收集到列表 REQUIREMENT_LIST


步骤 4: 需求优先级排序

基于价值和成本对需求排序:

🎯 需求优先级排序

P0(必须有):影响核心目标或阻塞其他需求 P1(应该有):重要但不紧急 P2(可以有):锦上添花

对每个需求确认优先级:

需求"{需求名称}"的优先级?

A) P0 - 必须有 B) P1 - 应该有 C) P2 - 可以有 D) 推迟到下次迭代


步骤 5: 资源分配与排期

👥 资源分配:

可用开发资源:

  • 前端:[X]人
  • 后端:[X]人
  • 设计:[X]人
  • QA:[X]人

工时估算

需求 优先级 前端工时 后端工时 总工时
{需求1} P0 X天 X天 X天
{需求2} P0 X天 X天 X天
{需求3} P1 X天 X天 X天
合计 X天 X天 X天

风险评估

  • 总工时是否在迭代容量内?
  • 是否存在阻塞依赖?
  • 是否需要调整范围?

步骤 6: 输出迭代计划

使用 Write 工具创建 docs/03-增长迭代/迭代计划-v{版本号}.md

# 迭代计划 v{版本号}

## 一、迭代概览

- **迭代编号**:第X次迭代
- **周期**:YYYY-MM-DD 至 YYYY-MM-DD(2周)
- **核心目标**:
  1. {目标1}
  2. {目标2}

## 二、需求清单

| 优先级 | 需求名称 | 来源 | 前端工时 | 后端工时 | 负责人 |
|--------|---------|------|---------|---------|--------|
| P0 | {需求1} | {来源} | X天 | X天 | {负责人} |
| P0 | {需求2} | {来源} | X天 | X天 | {负责人} |
| P1 | {需求3} | {来源} | X天 | X天 | {负责人} |
| P2 | {需求4} | {来源} | X天 | X天 | {负责人} |

## 三、排期计划

### 第1周
- Day 1-2:{任务}
- Day 3-4:{任务}
- Day 5:{任务}

### 第2周
- Day 6-7:{任务}
- Day 8-9:{任务}
- Day 10:交付/测试/上线

## 四、风险与预案

| 风险 | 概率 | 影响 | 预案 |
|------|------|------|------|
| {风险} | H/M/L | H/M/L | {预案} |

## 五、验收标准

- 所有P0需求完成开发并测试通过
- {目标1}达成:{衡量标准}
- {目标2}达成:{衡量标准}

---

**文档状态**: 迭代计划完成
**生成时间**: {时间戳}
**生成工具**: super-pm

Read the full file on GitHub · 326 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. 5d ago First seen · 326 lines · 59 tokens per session scan A be80416c62a2

Subscribe to this mod's changes

pm-iteration is a skill published in the GitHub repository konglong87/superPM (61 stars, last pushed 2d ago), licensed MIT. It adds 59 tokens to every session and 2,582 once invoked, about $0.0003 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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