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 killvxk/pm-skills-zh --skill gtm-strategygit clone --depth 1 https://github.com/killvxk/pm-skills-zhWrote 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/killvxk/pm-skills-zh/gtm-strategy)<a href="https://agentmods.dev/skills/killvxk/pm-skills-zh/gtm-strategy"><img src="https://agentmods.dev/badge/skills/killvxk/pm-skills-zh/gtm-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/killvxk/pm-skills-zh/gtm-strategy"><img src="https://agentmods.dev/badge/skills/killvxk/pm-skills-zh/gtm-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 | $0.00052 | $0.01004 |
| Opus 5 | $0.00026 | $0.00502 |
| Sonnet 5 | $0.00010 | $0.00201 |
| Haiku 4.5 | $0.00005 | $0.00100 |
Grade A, and why
gtm-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 11d 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.
What it actually says
GTM 策略
概述
为产品上市制定全面的市场进入（GTM）策略。本技能覆盖营销渠道选择、核心信息开发、成功指标定义和上市规划。
适用场景
- 规划产品上市
- 从零搭建 GTM 方案
- 为进入新市场制定上市策略
- 制定产品与市场契合策略
- 准备产品上线路线图
工作方式
第一步：收集调研数据
系统将协助你加载并分析关于产品和目标市场的早期调研。请提供：
- 产品描述和核心功能
- 目标市场细分详情
- 市场调研或验证数据
- 竞争格局信息
- 可用的客户访谈或问卷数据
第二步：确定营销渠道
评估哪些渠道最能触达目标受众：
- 数字营销渠道（付费搜索、社交媒体、展示广告）
- 内容与入站渠道（博客、SEO、思想领导力）
- 销售与出站渠道（直接外拓、合作伙伴）
- 社群和草根渠道
- 产品驱动和病毒式渠道
第三步：开发核心信息
制作能引发共鸣的受众专属信息：
- 面向目标细分市场的核心价值主张
- 关键差异化点和竞争优势
- 痛点验证和解决方案映射
- 佐证材料和社会证明策略
- 针对不同渠道的信息变体
第四步：定义成功指标
建立可量化的 KPI 来追踪上市成效：
- 认知指标（曝光量、触达人数、品牌记忆度）
- 互动指标（点击率 CTR、互动成本、页面停留时长）
- 转化指标（注册数、演示申请数、试用启动数）
- 营收指标（MRR 月度经常性收入、CAC 客户获取成本、LTV 用户生命周期价值）
- 市场指标（市场份额、细分市场渗透率）
第五步：制定上市计划
构建分阶段的上市时间线：
- 上市前准备（信息、渠道、时间线）
- 上市当天活动和公告
- 上市后动能保持（内容、合作伙伴、社群）
- 监测与优化节奏
- 成功标准和进行/终止决策节点
输入格式
通过 $ARGUMENTS 传入：
- 产品名称和描述
- 目标市场细分
- 调研数据或文件路径
- 上市时间线和约束条件
- 预算或资源限制
输出内容
结构化的 GTM 策略文档，包含：
- 推荐营销渠道及选择理由
- 渠道专属信息和定位
- 含关键里程碑的上市时间线
- KPI 目标和衡量框架
- 风险规避策略
- 90 天执行路线图
方法论
本技能应用 Product Compass GTM 策略方法论，聚焦于市场选择、渠道匹配和信息-市场契合，推动产品的可持续增长。
实用技巧
- 从最有把握的客户细分市场开始
- 全面上市前通过客户访谈验证假设
- 少数渠道做精，好过多个渠道都平庸
- 上市前建立基准指标，以便量化效果
- 规划好反馈循环和迭代优化机制
延伸阅读
- 5 GTM Principles You Should Know as a PM
- OpenAI's Product Leader Shares 3-Layer Distribution Framework To Win Mind & Market Share in the AI World
- Product-Led Growth 101, Part 1/2
- How to Design a Value Proposition Customers Can't Resist?
- How to Achieve Product-Market Fit? Part I: Market and Value Proposition
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.
- 11d ago First seen · 95 lines · 52 tokens per session scan A 1a473c6dbad8
gtm-strategy is a skill published in the GitHub repository killvxk/pm-skills-zh (159 stars, last pushed 5mo ago), licensed MIT. It adds 52 tokens to every session and 1,004 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…