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.
npx skills add kelegele/oh-my-pm --skill product-strategygit clone --depth 1 https://github.com/kelegele/oh-my-pmWrote 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.
[](https://agentmods.dev/skills/kelegele/oh-my-pm/product-strategy)<a href="https://agentmods.dev/skills/kelegele/oh-my-pm/product-strategy"><img src="https://agentmods.dev/badge/skills/kelegele/oh-my-pm/product-strategy/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kelegele/oh-my-pm/product-strategy"><img src="https://agentmods.dev/badge/skills/kelegele/oh-my-pm/product-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00247 | $0.04477 |
| Opus 5 | $0.00123 | $0.02239 |
| Sonnet 5 | $0.00049 | $0.00895 |
| Haiku 4.5 | $0.00025 | $0.00448 |
Grade A, and why
product-strategy 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 370 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Strategy
Define where to win, decide what to build, plan when to build it — 一条主线，一次成稿。
Overview
策略三件套不是三个并列模块，而是一条数据流主线：
定位声明 → 战略权重 → 优先级排序 → 排期映射 → 路线图
- 定位声明：明确"为谁、以什么差异化取胜"，并从中推导出战略权重（差异化主轴决定评分倾向）。
- 优先级排序：用战略权重校准 RICE/MoSCoW，产出带 rank 与类别的排序结果。
- 路线图：把排序结果按类别与容量约束映射为 Now/Next/Later 与季度里程碑，每个里程碑回溯到定位的价值主张。
上游改动沿主线传导：定位变 → 权重变 → 排序变 → 排期变，三份交付物始终一致。
分段触发模式
三件套支持分段独立请求，不必每次都跑完整链路：
| 请求 | 行为 |
|---|---|
| 只要定位（"我们如何定位 X"） | 产 positioning.md，推导战略权重留存备用 |
| 只要排序（"给这个排优先级"/"用 RICE 排一下"） | 若已有 positioning.md，复用其战略权重校准；否则先补定位主轴再排序 |
| 只要路线图（"创建路线图"/"下季度路线图"） | 若已有 prioritization.json，按其 rank 映射；否则先补排序再排期 |
完整链路（定位→排序→路线图）仍是默认推荐——一次成稿保证三份交付物一致；但轻量场景允许只产出被请求的那一份，已有的上游产物作为权重/排序来源自动复用。
When to Use
Activate this skill when:
- 用户需要产品定位、差异化策略或价值主张（"我们如何定位 X"、"我们有什么不同"）
- 用户需要对待办事项排序、决定先构建什么（"给这个排优先级"、"如何对这些排名"）
- 用户需要产品路线图、里程碑或发布规划（"创建路线图"、"下季度路线图"）
- 制定季度/年度产品战略，或向干系人沟通产品方向
How It Works
- 汇总感知输入 — 读取市场、竞品、用户研究、需求澄清与反馈综合结果
- 定位声明 — 定义 ICP、价值主张、差异化主轴，推导战略权重
- 优先级排序 — 按权重校准的 RICE/MoSCoW 对候选事项打分排名
- 路线图排期 — 按 rank、类别与容量约束把事项排入时间线
Process Flow
digraph strategy {
"Aggregate perception inputs" [shape=box];
"Positioning statement" [shape=box];
"Derive strategic weights" [shape=box];
"Weighted RICE/MoSCoW scoring" [shape=box];
"Completeness gate" [shape=diamond];
"Write three deliverables" [shape=doublecircle];
"Aggregate perception inputs" -> "Positioning statement";
"Positioning statement" -> "Derive strategic weights";
"Derive strategic weights" -> "Weighted RICE/MoSCoW scoring";
"Weighted RICE/MoSCoW scoring" -> "Completeness gate";
"Completeness gate" -> "Positioning statement" [label="gaps, backfill"];
"Completeness gate" -> "Write three deliverables" [label="user confirmed"];
}
Step-by-Step Process
Step 1: 汇总感知输入
检查 docs/product/ 中已有的感知数据：
docs/product/.ompm/market-analysis.json— 市场趋势与规模docs/product/.ompm/competitive-analysis.json— 竞争格局docs/product/.ompm/user-research.json— 用户需求与画像docs/product/.ompm/clarification-result.json— 需求澄清结果docs/product/.ompm/feedback-synthesis.json— 用户反馈综合
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.
- 12d ago First seen · 370 lines · 247 tokens per session scan A 36a9ea7aa2f3
product-strategy is a skill published in the GitHub repository kelegele/oh-my-pm (4 stars, last pushed 1mo ago), licensed MIT. It adds 247 tokens to every session and 4,477 once invoked, about $0.0012 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 2026-08-31.
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